CN114567019A - Multi-type energy storage coordination control method and system for new energy power station side - Google Patents

Multi-type energy storage coordination control method and system for new energy power station side Download PDF

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Publication number
CN114567019A
CN114567019A CN202210255072.5A CN202210255072A CN114567019A CN 114567019 A CN114567019 A CN 114567019A CN 202210255072 A CN202210255072 A CN 202210255072A CN 114567019 A CN114567019 A CN 114567019A
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power
energy storage
storage system
application mode
time
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Inventor
马会萌
李相俊
吴荣宇
贾学翠
靳文涛
李蓓
修晓青
刘辉
王开让
刘迪
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
Electric Power Research Institute of State Grid Jibei Electric Power Co Ltd
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
Electric Power Research Institute of State Grid Jibei Electric Power Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
    • H02J3/241—The oscillation concerning frequency
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E70/00—Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention discloses a multi-type energy storage coordination control method and a multi-type energy storage coordination control system on the side of a new energy power station.A new energy power station is provided with an energy storage system, the application mode of the energy storage system comprises a first application mode and a second application mode, and the energy storage system comprises a power type energy storage system and a battery energy storage system; calculating energy storage power requirements under each application mode in parallel; and calculating and coordinately distributing the total energy storage power demand according to the energy storage power demand in each application mode, and controlling the charging and discharging of the power type energy storage system and the battery energy storage system under the constraint of the safe and stable operation boundary of the energy storage system. The invention can realize that a multi-type energy storage system can efficiently meet the energy storage requirements in the complex process that the power abandon rate and compensation power prediction error requirements are continuously reduced for 24 hours, and the inertia support and primary frequency modulation requirements randomly and high-frequency appear.

Description

Multi-type energy storage coordination control method and system for new energy power station side
Technical Field
The invention belongs to the technical field of electrical engineering, and particularly relates to a multi-type energy storage coordination control method and system for a new energy power station side.
Background
At present, new energy is developed rapidly, and a high-proportion new energy power system is about to be formed. Due to wind-light fluctuation and intermittence, adoption of power electronic equipment for grid connection and the like, the problem of electricity abandonment is prominent in the aspect of consumption; in terms of safe operation, the development of new energy into a main power supply will seriously deteriorate the system frequency characteristics and the safety stability level. In the future, the consumption and the safe operation of a high-proportion new energy power system face severe examination, the current situation of conventional energy regulation is needed to be changed urgently, and new energy needs to have active supporting capacity and share responsibility and obligation of safe and stable operation of the system with conventional energy.
The energy storage has the characteristics of energy time shifting, quick response, flexible arrangement and the like, the adjustable controllability of the power station can be improved by applying the energy storage to the new energy power station, the confidence capacity of the new energy power station is improved, a power source is provided for the active support of the new energy power station, the problems that the output fluctuation of the new energy is large, the power grid regulation capacity is not enough and the like can be effectively solved, and the method is an important technical means for improving the consumption of the new energy and solving the problem that the active support capacity of the new energy is not enough.
The application requirements of the new energy power station for energy storage mainly comprise four application modes of inertia support, primary frequency modulation, power compensation prediction error and reduction of power abandon rate, the four application modes have cross coupling on time sequence for the technical requirements of energy storage, and the problem to be solved urgently is how to realize that the same set of energy storage system gives consideration to four application scenes by means of multi-type energy storage considering that the charging and discharging cycle times of the battery energy storage system are relatively limited.
The prior art comprises an energy storage system coordination control method taking a compensation power prediction error and a reduction of a power abandonment rate as application modes in a new energy power station, and comprises an energy storage system coordination control method taking an improvement of an inertia support and a primary frequency modulation capability of the new energy power station as application modes in the new energy power station, but a multi-type energy storage system coordination control method taking four application modes of compensation power prediction error, reduction of the power abandonment rate, inertia support and primary frequency modulation in the new energy power station into consideration is not provided.
Disclosure of Invention
The invention aims to provide a multi-type energy storage coordination control method and system at a new energy power station side, which aim to overcome the defects in the prior art and can realize that a multi-type energy storage system can efficiently meet the energy storage requirements in a complex process of reducing the power abandon rate and compensating the power prediction error for 24 hours continuously and randomly generating high frequency by inertia support and primary frequency modulation requirements.
In order to achieve the purpose, the invention adopts the following technical scheme:
the multi-type energy storage coordination control method at the new energy power station side comprises the following steps:
configuring an energy storage system in a new energy power station, wherein the application mode of the energy storage system comprises a first application mode and a second application mode, and the energy storage system comprises a power type energy storage system and a battery energy storage system;
calculating the energy storage power requirement under each application mode in parallel;
and calculating and coordinately distributing the total energy storage power demand according to the energy storage power demand in each application mode, and controlling the charging and discharging of the power type energy storage system and the battery energy storage system under the constraint of the safe and stable operation boundary of the energy storage system.
Further, the parallel computing of the energy storage power requirement in each application mode specifically includes: calculating the energy storage power requirement in the first application mode, and calculating the energy storage power requirement in the second application mode;
the first application mode is an inertia support and primary frequency modulation application mode, and the second application mode is an application mode for reducing power rejection rate and compensating power prediction errors.
Further, the calculating the energy storage power requirement in the first application mode specifically includes:
acquiring real-time frequency f of energy storage system at preset first sampling time intervalt；
Real-time frequency f based on energy storage systemtCalculating the real-time frequency deviation delta f of the energy storage systemt＝ft-50 and real time frequency fluctuation ratio
Figure BDA0003547916490000031
Determining a real-time frequency deviation Δ ftWhether or not to cross primary frequency modulation dead zone fd；
If so, based on the real-time frequency f of the energy storage systemtAnd calculating a droop coefficient xi of an energy storage system configured in the new energy power station and participating in primary frequency modulation of the power gridt；
Figure BDA0003547916490000032
And satisfies the following constraints:
-0.1≤ξt≤0.1
when in use
Figure BDA0003547916490000033
And xit>At 0, the correction is: xit＝0；
In the formula (f)tIs the real-time frequency, f, of the energy storage systemNRepresenting the power frequency of the grid, fdRepresents the primary frequency modulation dead zone of the new energy power station, delta percent represents the difference rate of the primary frequency modulation,
Figure BDA0003547916490000034
representing the actual output power of the new energy power station at the moment t,
Figure BDA0003547916490000035
representing the installed capacity of the new energy power station;
based on xitCalculating the power demand of the energy storage system of the first application mode, when the power instruction of the energy storage system is negative, charging the stored energy, and when the power instruction of the energy storage system is positive, discharging the stored energy;
Figure BDA0003547916490000036
in the formula,
Figure BDA0003547916490000037
representing the energy storage power requirement in the first application mode at the moment t;
if not, based on
Figure BDA0003547916490000038
Calculating the real-time power grid inertia support requirement:
Figure BDA0003547916490000039
in the formula,
Figure BDA00035479164900000310
representing the power grid inertia support requirement at the moment t, KInertiaAnd representing the virtual inertia coefficient of the energy storage system participating in the inertia support.
Further, the calculating the energy storage power requirement in the second application mode specifically includes:
acquiring a day-ahead power prediction data sample of a new energy power station and scheduled power limiting power data;
acquiring power generation power data of the new energy power station in real time at preset second sampling time interval
Figure BDA0003547916490000041
Real-time collection of SOC value of battery energy storage system
Figure BDA0003547916490000042
Judging whether the current time is the electricity limiting time period or not, and if so, calculating the power requirement of the energy storage system at the current time
Figure BDA0003547916490000043
If not, calculating the power prediction error of the new energy power station in real time
Figure BDA0003547916490000044
Judging the power prediction error value range if
Figure BDA0003547916490000045
If yes, judging the real-time SOC value of the battery energy storage system, and if yes, judging the real-time SOC value of the battery energy storage system
Figure BDA0003547916490000046
And if yes, calculating the energy storage power requirement in the second application mode
Figure BDA0003547916490000047
If it is not
Figure BDA0003547916490000048
If the condition is not satisfied, calculating the energy storage power requirement in the second application mode
Figure BDA0003547916490000049
If it is not
Figure BDA00035479164900000410
If not, judging the power prediction error value range again, if so, judging the power prediction error value range again
Figure BDA00035479164900000411
If yes, judging the real-time SOC value of the battery energy storage system, and if yes, judging the real-time SOC value of the battery energy storage system
Figure BDA00035479164900000412
And establishing, executing maximum charging, realizing SOC (System on chip) callback of the battery energy storage system, and calculating to obtain the energy storage power requirement of
Figure BDA00035479164900000413
If it is used
Figure BDA00035479164900000414
If the situation is not true, the energy storage power demand is calculated to be
Figure BDA00035479164900000415
If it is not
Figure BDA00035479164900000416
If the situation is not true, the energy storage power demand is calculated to be
Figure BDA00035479164900000417
Wherein,
Figure BDA00035479164900000418
the power prediction error of the new energy power station at the moment t is shown,
Figure BDA00035479164900000419
representing the energy storage power requirement in the second application mode at time t,
Figure BDA00035479164900000420
power limit for indicating dispatch issueThe output upper limit value of the new energy power station at the moment t in the time interval,
Figure BDA00035479164900000421
representing the actual output power of the new energy power station at the moment t,
Figure BDA00035479164900000422
the predicted output power of the new energy power station at the time t is shown, alpha is a predicted allowable error bandwidth value of the new energy power station,
Figure BDA00035479164900000423
represents the SOC value of the battery energy storage system at the moment t,
Figure BDA00035479164900000424
and the installed capacity of the new energy power station is represented.
Further, the calculating and coordinated distribution of the real-time total power demand of energy storage according to the energy storage power demand in each application mode specifically includes:
real-time input of energy storage power requirement fed back in first application mode
Figure BDA0003547916490000051
And the energy storage power requirement fed back in the second application mode
Figure BDA0003547916490000052
The first sampling time interval of the first application mode is taken as the calculation time interval of the total power requirement, and the energy storage total power requirement considering the multiple modes is calculated in real time
Figure BDA0003547916490000053
Decomposing the total power demand of the stored energy by adopting a frequency domain decomposition algorithm to obtain a high-frequency power instruction and a low-frequency power instruction, and taking the low-frequency power instruction as a power instruction of the battery energy storage system
Figure BDA0003547916490000054
Using the high-frequency power instruction as the power instruction of the power type energy storage system
Figure BDA0003547916490000055
Judgment of
Figure BDA0003547916490000056
Whether or not, if so, modify
Figure BDA0003547916490000057
And entering step B1, if not, entering step A1; simultaneous determination
Figure BDA0003547916490000058
Whether or not, if so, modify
Figure BDA0003547916490000059
And entering step B2, if not, entering step A2;
step A1: judgment of
Figure BDA00035479164900000510
Whether or not it is true, if true, modify
Figure BDA00035479164900000511
Entering step B1, if not, directly entering step B1;
step A2: judgment of
Figure BDA00035479164900000512
Whether or not, if so, modify
Figure BDA00035479164900000513
Step B2 is entered, if not, the step B2 is entered directly;
step B1: judgment of
Figure BDA00035479164900000514
And is
Figure BDA00035479164900000515
Whether or not, if so, modify
Figure BDA00035479164900000516
And issues power commands
Figure BDA00035479164900000517
If the energy storage system is not supplied, the step C1 is executed;
step B2: judgment of
Figure BDA00035479164900000518
And is
Figure BDA00035479164900000519
Whether or not, if so, modify
Figure BDA00035479164900000520
And issues a power instruction
Figure BDA00035479164900000521
If not, the step C2 is executed for the power type energy storage system;
step C1: judgment of
Figure BDA00035479164900000522
And is
Figure BDA00035479164900000523
Whether or not, if so, modify
Figure BDA00035479164900000524
And issues a power instruction
Figure BDA00035479164900000525
If the battery energy storage system is not in operation, the power instruction is directly issued
Figure BDA00035479164900000526
Supplying energy to the battery energy storage system;
step C2: judgment of
Figure BDA0003547916490000061
And is
Figure BDA0003547916490000062
Whether or not, if so, modify
Figure BDA0003547916490000063
And issues a power instruction
Figure BDA0003547916490000064
If the power type energy storage system is not satisfied, a power instruction is directly issued
Figure BDA0003547916490000065
A power supply type energy storage system;
wherein,
Figure BDA0003547916490000066
expressed as the SOC value of the battery energy storage system at time t +1,
Figure BDA0003547916490000067
expressed as the SOC value of the power type energy storage system at time t +1,
Figure BDA0003547916490000068
represents the SOC upper limit value of the battery energy storage system,
Figure BDA0003547916490000069
represents the lower limit value of the SOC of the battery energy storage system,
Figure BDA00035479164900000610
represents the SOC upper limit value of the power type energy storage system,
Figure BDA00035479164900000611
representing the lower SOC limit value of the power storage system.
The multi-type energy storage coordinated control system of new forms of energy power station side includes:
an energy storage system configuration module: the method comprises the steps that an energy storage system is configured in a new energy power station, the application mode of the energy storage system comprises a first application mode and a second application mode, and the energy storage system comprises a power type energy storage system and a battery energy storage system;
an energy storage power demand calculation module: the method is used for calculating the energy storage power requirements under each application mode in parallel;
a coordination control module: the method is used for calculating and coordinately distributing the total energy storage power demand according to the energy storage power demand in each application mode, and controlling the charging and discharging of the power type energy storage system and the battery energy storage system under the constraint of the safe and stable operation boundary of the energy storage system.
Further, the energy storage power demand calculation module comprises a first calculation module and a second calculation module, wherein:
a first calculation module: the energy storage power demand under the first application mode is calculated;
a second calculation module: the energy storage power demand under the second application mode is calculated;
the first application mode is an inertia support and primary frequency modulation application mode, and the second application mode is an application mode for reducing power rejection rate and compensating power prediction errors.
Further, the first calculation module implements the following process:
acquiring real-time frequency f of energy storage system at preset first sampling time intervalt；
Real-time frequency f based on energy storage systemtCalculating the real-time frequency deviation delta f of the energy storage systemt＝ft-50 and real time frequency fluctuation ratio
Figure BDA0003547916490000071
Determining a real-time frequency deviation Δ ftWhether or not to cross primary frequency modulation dead zone fd；
If so, based on the real-time frequency f of the energy storage systemtCalculating a droop system of an energy storage system configured in a new energy power station participating in primary frequency modulation of a power gridXi numbert；
Figure BDA0003547916490000072
And satisfies the following constraints:
-0.1≤ξt≤0.1
when in use
Figure BDA0003547916490000073
And xit>At 0, the correction is: xit＝0；
In the formula (f)tIs the real-time frequency, f, of the energy storage systemNRepresenting the power frequency of the grid, fdRepresents the primary frequency modulation dead zone of the new energy power station, delta percent represents the difference rate of the primary frequency modulation,
Figure BDA0003547916490000074
representing the actual output power of the new energy power station at the moment t,
Figure BDA0003547916490000075
representing the installed capacity of the new energy power station;
based on xitCalculating the power demand of the energy storage system of the first application mode, when the power instruction of the energy storage system is negative, charging the stored energy, and when the power instruction of the energy storage system is positive, discharging the stored energy;
Figure BDA0003547916490000076
in the formula,
Figure BDA0003547916490000077
representing the energy storage power requirement in the first application mode at the moment t;
if not, based on
Figure BDA0003547916490000078
Calculating the real-time power grid inertia support requirement:
Figure BDA0003547916490000079
in the formula,
Figure BDA00035479164900000710
representing the power grid inertia support requirement at the moment t, KInertiaAnd representing the virtual inertia coefficient of the energy storage system participating in the inertia support.
Further, the second computing module implements the following process:
acquiring a day-ahead power prediction data sample of a new energy power station and scheduled power limiting power data;
acquiring power generation power data of the new energy power station in real time at preset second sampling time interval
Figure BDA0003547916490000081
Real-time collection of SOC value of battery energy storage system
Figure BDA0003547916490000082
Judging whether the current time is the electricity limiting time period or not, and if so, calculating the power requirement of the energy storage system at the current time
Figure BDA0003547916490000083
If not, calculating the power prediction error of the new energy power station in real time
Figure BDA0003547916490000084
Judging the power prediction error value range if
Figure BDA0003547916490000085
If yes, judging the real-time SOC value of the battery energy storage system, and if yes, judging the real-time SOC value of the battery energy storage system
Figure BDA0003547916490000086
And if yes, calculating the energy storage power requirement in the second application modeTo find
Figure BDA0003547916490000087
If it is not
Figure BDA0003547916490000088
If the condition is not satisfied, calculating the energy storage power requirement in the second application mode
Figure BDA0003547916490000089
If it is not
Figure BDA00035479164900000810
If not, judging the power prediction error value range again, if so, judging the power prediction error value range again
Figure BDA00035479164900000811
If yes, judging the real-time SOC value of the battery energy storage system, and if yes, judging the real-time SOC value of the battery energy storage system
Figure BDA00035479164900000812
And establishing, executing maximum charging, realizing SOC (System on chip) callback of the battery energy storage system, and calculating to obtain the energy storage power requirement of
Figure BDA00035479164900000813
If it is not
Figure BDA00035479164900000814
If the situation is not true, the energy storage power demand is calculated to be
Figure BDA00035479164900000815
If it is used
Figure BDA00035479164900000816
If the situation is not true, the energy storage power demand is calculated to be
Figure BDA00035479164900000817
Wherein,
Figure BDA00035479164900000818
the power prediction error of the new energy power station at the moment t is shown,
Figure BDA00035479164900000819
representing the energy storage power requirement in the second application mode at time t,
Figure BDA00035479164900000820
the output upper limit value of the new energy power station at the time t in the power limiting time period issued by dispatching is shown,
Figure BDA00035479164900000821
representing the actual output power of the new energy power station at the moment t,
Figure BDA00035479164900000822
the predicted output power of the new energy power station at the time t is shown, alpha is a predicted allowable error bandwidth value of the new energy power station,
Figure BDA00035479164900000823
represents the SOC value of the battery energy storage system at the moment t,
Figure BDA00035479164900000824
and the installed capacity of the new energy power station is represented.
Further, the coordination control module realizes the following procedures:
real-time input of energy storage power requirement fed back in first application mode
Figure BDA0003547916490000091
And the energy storage power requirement fed back in the second application mode
Figure BDA0003547916490000092
The first sampling time interval of the first application mode is taken as the calculation time interval of the total power requirement, and the energy storage total power requirement considering the multiple modes is calculated in real time
Figure BDA0003547916490000093
Decomposing the total energy storage power demand by adopting a frequency domain decomposition algorithm to obtain a high-frequency power instruction and a low-frequency power instruction, and taking the low-frequency power instruction as a power instruction of the battery energy storage system
Figure BDA0003547916490000094
Using the high-frequency power instruction as the power instruction of the power type energy storage system
Figure BDA0003547916490000095
Judgment of
Figure BDA0003547916490000096
Whether or not, if so, modify
Figure BDA0003547916490000097
And entering step B1, if not, entering step A1; simultaneous determination
Figure BDA0003547916490000098
Whether or not, if so, modify
Figure BDA0003547916490000099
And entering step B2, if not, entering step A2;
step A1: judgment of
Figure BDA00035479164900000910
Whether or not, if so, modify
Figure BDA00035479164900000911
Entering step B1, if not, directly entering step B1;
step A2: judgment of
Figure BDA00035479164900000912
Whether or not, if so, modify
Figure BDA00035479164900000913
Entering step B2, if not, directly entering step B2;
step B1: judgment of
Figure BDA00035479164900000914
And is
Figure BDA00035479164900000915
Whether or not, if so, modify
Figure BDA00035479164900000916
And issues a power instruction
Figure BDA00035479164900000917
If the energy storage system is not supplied, the step C1 is executed;
step B2: judgment of
Figure BDA00035479164900000918
And is
Figure BDA00035479164900000919
Whether or not, if so, modify
Figure BDA00035479164900000920
And issues a power instruction
Figure BDA00035479164900000921
If not, the step C2 is executed for the power type energy storage system;
step C1: judgment of
Figure BDA00035479164900000922
And is
Figure BDA00035479164900000923
Whether or not, if so, modify
Figure BDA00035479164900000924
And issues a power instruction
Figure BDA00035479164900000925
If the battery energy storage system is not satisfied, a power instruction is directly issued
Figure BDA00035479164900000926
Supplying energy to the battery energy storage system;
step C2: judgment of
Figure BDA00035479164900000927
And is
Figure BDA00035479164900000928
Whether or not it is true, if true, modify
Figure BDA00035479164900000929
And issues a power instruction
Figure BDA00035479164900000930
If the power type energy storage system is not satisfied, a power instruction is directly issued
Figure BDA00035479164900000931
A power supply type energy storage system;
wherein,
Figure BDA0003547916490000101
expressed as the SOC value of the battery energy storage system at time t +1,
Figure BDA0003547916490000102
expressed as the SOC value of the power-type energy storage system at time t +1,
Figure BDA0003547916490000103
represents the SOC upper limit value of the battery energy storage system,
Figure BDA0003547916490000104
represents the lower limit value of the SOC of the battery energy storage system,
Figure BDA0003547916490000105
represents the SOC upper limit value of the power type energy storage system,
Figure BDA0003547916490000106
representing the lower SOC limit value of the power storage system.
A computer-readable storage medium storing a computer program which, when executed by a processor, implements the steps of the multi-type energy storage coordination control method on the new energy station side.
Compared with the prior art, the invention has the following beneficial technical effects:
the invention is suitable for the coordination control of multi-type energy storage at the side of a new energy power station, and needs to consider four application modes of inertia support, primary frequency modulation, power prediction error compensation and power abandon rate reduction under the scene, the invention combines the inertia support and the primary frequency modulation into a first application mode, combines the power abandon rate reduction and the power prediction error compensation into a second application mode, the total energy storage power requirements of the multi-type energy storage system are obtained by simultaneously calculating and superposing the energy storage power requirements in different application modes, and coordinated distribution is carried out under the constraint of the safe and stable operation boundary of the energy storage system to control the charging and discharging of the power type energy storage system and the battery energy storage system, the energy storage requirements in the complex process that the electricity abandoning rate is reduced, the power prediction error is compensated for continuously for 24 hours, and the inertia support and primary frequency modulation requirements randomly appear are efficiently met by the multi-type energy storage system.
Furthermore, the invention firstly considers the difference of sample data based on different modes, the consistency on technical principle, the combination and the intersection on time sequence and the like, combines the inertia support and the primary frequency modulation mode, combines the modes of compensating power prediction error and reducing power abandon rate, calculates the energy storage power requirements of the two combined modes in parallel, feeds back the energy storage power requirements to the main program, superposes the energy storage requirements of the two modes in real time in the main program, adopts a frequency decomposition algorithm to distribute the high frequency part in the total power requirement of the energy storage system to the power type energy storage system and the low frequency part to the battery energy storage system, and checks and corrects the power instructions of the power type energy storage system and the battery energy storage system under the constraints of the rated charging and discharging power capability and the SOC operation range of the power type energy storage system and the battery energy storage system respectively, and controlling the power type energy storage system and the battery energy storage system to charge and discharge, and finally realizing that the multi-type energy storage system efficiently meets the energy storage requirements in the complex process of reducing the electricity abandoning rate and compensating the power prediction error for 24 hours continuously and randomly appearing the inertia support and primary frequency modulation requirements.
Drawings
The accompanying drawings are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
FIG. 1 is a schematic diagram of a coupling cross process of multiple application modes of an energy storage system in a new energy power station;
FIG. 2 is a schematic diagram of charging and discharging power requirements of an energy storage system in a new energy power station in a multi-application mode;
FIG. 3 is a schematic diagram of a droop curve of a new energy power station configured with an energy storage system participating in primary frequency modulation of a power grid;
FIG. 4 is a flow chart of inertia support and primary frequency modulation control;
FIG. 5 is a flow chart of a control for reducing power rejection and compensating for power prediction errors;
fig. 6 is a flow chart of a control main routine.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The method aims at taking the balance between consumption level improvement and active support of the power grid as a target, an energy storage system is configured in a new energy power station, the application mode of the energy storage system comprises electricity abandonment rate reduction, power compensation prediction error, inertia support and primary frequency modulation, the energy storage system faces a complex process of 'electricity abandonment rate reduction + power compensation prediction error' lasting for 24 hours and 'inertia support + primary frequency modulation' occurring randomly in the process of taking multiple application modes into consideration, and as shown in figure 1, real-time dynamic response needs to be realized for energy storage requirements of coupling intersection in multiple application modes into consideration.
The charging and discharging power requirements of the multi-application mode for the multi-type energy storage system are calculated based on different real-time data, and the data sampling intervals of the charging and discharging power requirements are different, as shown in fig. 2.
With respect to fig. 2, the following is explained:
(1) the multiple application modes include: the power curtailment reduction application mode, the power prediction error compensation application mode, the inertia support application mode and the primary frequency modulation application mode.
(2) The power demand calculation of the energy storage system in the inertia support application mode and the primary frequency modulation application mode needs real-time frequency data based on a power grid, and the sampling interval of the real-time frequency data is not more than 100 ms. In addition, in the technical principle, the inertia support application mode and the primary frequency modulation application mode have non-overlapping and time sequence consistency, so that the inertia support application mode and the primary frequency modulation application mode are combined into the inertia support and primary frequency modulation application mode and are defined as the first application mode in the invention.
The power demand calculation of the energy storage system in the application mode of 'reducing the power abandon rate' and the application mode of 'compensating the power prediction error' needs to be based on the real-time power data of the new energy power station, the day-ahead power prediction data of the new energy power station and the power limiting power data of the new energy power station issued by dispatching, and the data are sampled in real time with 1min as a sampling interval. And in the time period of limiting the output of the new energy power station, the power prediction accuracy of the new energy power station is not checked, so that the application mode of reducing the power abandonment rate and the application mode of compensating the power prediction error do not overlap in time sequence, and the time sequence continuity is realized when the two modes are added for 24 hours in a day cycle, so that the two application modes are combined into the application mode of reducing the power abandonment rate and compensating the power prediction error, and the application mode is defined as a second application mode in the invention.
(3) Under the aim of considering the multi-mode, the energy storage charging and discharging power requirements of the new energy power station in each mode are subjected to time sequence superposition, and the energy storage total power requirement of the energy storage system under the aim of considering the multi-mode is obtained. Reference to the grid source coordination technical Specification for electric Power systems (DL/T1870-2018) specifies: the new energy (wind power plant and photovoltaic power station) realizes the primary frequency modulation function by reserving active standby or configuring energy storage equipment and utilizing a corresponding active control system or additionally installing an independent control device, the active power can not be regulated downwards when the active power is reduced to 10 percent of rated output under the condition of high-frequency disturbance of a power grid, a droop curve of the new energy power station configuration energy storage system participating in the primary frequency modulation of the power grid is shown in figure 3, and a primary frequency modulation dead zone is set to be fdThe rate of difference adjustment is set to 2%, and the maximum load limiting is set to not less than 10% of the rated load.
The multi-type energy storage coordination control method of the new energy power station side, which has the functions of improving consumption level and actively supporting the power grid, is divided into three parts in the process, namely a control main program, an inertia support and primary frequency modulation control part and a control part for reducing power rejection rate and compensating power prediction errors.
Firstly, the invention takes a multi-type energy storage system as a control object, applies the multi-type energy storage system under the scene of considering four application modes of inertia support, primary frequency modulation, power prediction error compensation and power abandon rate reduction, is divided into a control main program, an inertia support and primary frequency modulation control part and a power abandon rate reduction and power prediction error compensation control part on the control strategy, obtains the total energy storage power requirement of the multi-type energy storage system by simultaneously calculating and superposing the energy storage requirements under different application modes, adopts a frequency decomposition algorithm to distribute the high frequency part in the total energy storage power requirement to the power type energy storage system and distribute the low frequency part to the battery energy storage system aiming at the characteristics of long energy storage time and less cycle times of the battery energy storage system so as to realize that the multi-type energy storage system efficiently meets the 24-hour duration of reducing the power abandon rate and compensating power prediction error, inertia support and primary frequency modulation requirements randomly occur.
Secondly, in consideration of practical situations of different modes such as difference and consistency based on sample data, difference and consistency on technical principle, continuity and coupling intersection on time sequence and the like, the inertia support application mode and the primary frequency modulation application mode are combined and defined as a first application mode, the application mode for compensating power prediction errors and reducing power waste rate is combined and defined as a second application mode, energy storage power requirements of the first application mode and the second application mode are calculated in real time in parallel and fed back to a main program, and the energy storage requirements of the two modes are superposed in real time in the main program to obtain total real-time energy storage power requirements.
Finally, aiming at the obtained real-time energy storage total power requirement, the invention adopts a frequency decomposition algorithm to decompose the energy storage total power requirement into a high-frequency part and a low-frequency part, the high-frequency part is used as a power instruction of the power type energy storage system, the low-frequency part is used as a power instruction of the battery energy storage system, the power instructions of the power type energy storage system and the battery energy storage system are checked and corrected under the constraints of the rated charging and discharging power capacities and the SOC operation ranges of the power type energy storage system and the battery energy storage system, and the charging and discharging of the power type energy storage system and the battery energy storage system are controlled.
The main flow of the control method of the present invention is described below:
(1) the inertia support and primary frequency modulation control flow chart, as shown in fig. 4, can be described as follows:
the method comprises the following steps: acquiring real-time frequency f of energy storage system at sampling time interval of not more than 100mst。
Step two: referring to DL/T1870-2018 technical Specification for coordination of network sources of electric power system, real-time frequency f based on systemtCalculating the real-time frequency deviation delta f of the systemt＝ft-50, real time frequency fluctuation ratio
Figure BDA0003547916490000141
Step three: determining a real-time frequency deviation Δ ftWhether or not to cross primary frequency modulation dead zone fdWhen the frequency-modulation dead zone is crossed, executing a step four, otherwise, executing a step five;
step four: the method is characterized in that a wind power plant participating grid primary frequency modulation droop curve function and real-time frequency f based on an energy storage system are specified by referring to technical Specification for grid source coordination of electric Power System (DL/T1870-2018)tAnd calculating a droop coefficient xi of an energy storage system configured in the new energy power station and participating in primary frequency modulation of the power gridtComprises the following steps:
Figure BDA0003547916490000151
and satisfies the following constraints:
-0.1≤ξt≤0.1
when in use
Figure BDA0003547916490000152
And xit>At 0, the correction is: xit＝0。
In the formula (f)tIs the real-time frequency, f, of the energy storage systemNRepresenting the power frequency of the grid, fdRepresents the primary frequency modulation dead zone of the new energy power station, delta percent represents the difference rate of the primary frequency modulation,
Figure BDA0003547916490000153
representing the actual output power of the new energy power station at the moment t,
Figure BDA0003547916490000154
representing the installed capacity of the new energy power station;
based on xitIn the calculation mode 1, for the real-time power demand of the energy storage system, the power instruction of the energy storage system is defined as negative, energy storage charging is carried out, the power instruction of the energy storage system is defined as positive, and energy storage discharging is carried out.
Figure BDA0003547916490000155
In the formula,
Figure BDA0003547916490000156
representing the energy storage power requirement in the first application mode at time t.
Step five: based on
Figure BDA0003547916490000157
Calculating the real-time power grid inertia support requirement:
Figure BDA0003547916490000158
in the formula,
Figure BDA0003547916490000159
representing the power grid inertia support requirement at the moment t, KInertiaAnd representing the virtual inertia coefficient of the energy storage system participating in the inertia support.
Step six: and returning the power instruction of the energy storage system to the main program.
(2) The control flow chart for reducing the power rejection rate and compensating the power prediction error, as shown in fig. 5, can be described as follows:
the method comprises the following steps: inputting a day-ahead power prediction data sample of the new energy power station, and inputting scheduled power limiting power data;
step two: collecting power generation power data of the new energy power station in real time by taking 1min as sampling time interval
Figure BDA0003547916490000161
Step three: real-time collection of SOC value of battery energy storage system
Figure BDA0003547916490000162
Step four: judging whether the current time is the power limiting time period, if so, entering the step five, and if not, entering the step six;
step five: calculating the power demand of the energy storage system at the current moment
Figure BDA0003547916490000163
Feeding back the power requirement of the energy storage system to the main program;
step six: calculating power prediction error of new energy power station in real time
Figure BDA0003547916490000164
Step seven: judging the power prediction error value range if
Figure BDA0003547916490000165
If yes, entering the step eight, and if not, entering the step eleven;
step eight: judging the real-time SOC value of the battery energy storage system, if
Figure BDA0003547916490000166
If yes, entering the step nine, otherwise entering the step ten;
step nine: in the mode of compensating power prediction error, the combined output of the new energy and the stored energy tracks the day-ahead predicted value of the new energy power station within a certain error range, in the process, the charge and discharge power requirement of the energy storage system is not a fixed value but a power range, and any value in the range is selected to realize the error of the new energy and the stored energyThe predicted value of tracking new forms of energy power station in the bandwidth requirement scope, for making battery energy storage system possess better charge capacity and discharge capacity simultaneously, add battery energy storage system SOC callback strategy in the control strategy, when battery energy storage system SOC is in higher level promptly, control battery energy storage system maximize and discharge, when battery energy storage system SOC is in lower level, control battery energy storage system maximize and charge, so the energy storage power demand under the calculation mode 2:
Figure BDA0003547916490000171
and feeds back to the main program;
step ten: calculating the energy storage power requirement in mode 2:
Figure BDA0003547916490000172
and feeds back to the main program;
step eleven: judging the power prediction error value range if
Figure BDA0003547916490000173
If yes, entering the step twelve, and if not, entering the step fifteen;
step twelve: judging the real-time SOC value of the battery energy storage system, if
Figure BDA0003547916490000174
If yes, entering a step thirteen, otherwise entering a step fourteen;
step thirteen: maximum charging is executed, SOC (system on chip) callback of the battery energy storage system is realized, and the energy storage power requirement is calculated to be
Figure BDA0003547916490000175
And feeds back to the main program;
fourteen steps: the energy storage power demand is calculated as
Figure BDA0003547916490000176
And feeds back to the main program;
step fifteen: calculating to obtain the energy storage power demand as
Figure BDA0003547916490000177
And fed back to the main program.
Wherein,
Figure BDA0003547916490000178
the power prediction error of the new energy power station at the moment t is shown,
Figure BDA0003547916490000179
representing the energy storage power requirement in the second application mode at time t,
Figure BDA00035479164900001710
the output upper limit value of the new energy power station at the time t in the power limiting time period issued by the dispatching is shown,
Figure BDA00035479164900001711
representing the actual output power of the new energy power station at the moment t,
Figure BDA00035479164900001712
the predicted output power of the new energy power station at the time t is shown, alpha is a predicted allowable error bandwidth value of the new energy power station,
Figure BDA00035479164900001713
represents the SOC value of the battery energy storage system at the moment t,
Figure BDA00035479164900001714
and the installed capacity of the new energy power station is represented.
(3) The control main program flow chart, as shown in fig. 6, can be described as follows:
the method comprises the following steps: real-time input mode 1 feedback energy storage power demand
Figure BDA00035479164900001715
Real-time input mode 2 feedback energy storage power demand
Figure BDA00035479164900001716
Step two: the instruction interval of the mode 1 is taken as the calculation time interval of the total power demand, and the energy storage total power demand of the multiple modes is calculated in real time
Figure BDA00035479164900001717
Step three: decomposing the total power requirement of the stored energy by adopting a frequency domain decomposition algorithm to obtain a high-frequency power instruction and a low-frequency power instruction;
step four: taking the low-frequency power instruction as a power instruction of the battery energy storage system
Figure BDA0003547916490000181
Using the high-frequency power instruction as the power instruction of the power type energy storage system
Figure BDA0003547916490000182
Step five: judgment of
Figure BDA0003547916490000183
Whether or not, if so, modify
Figure BDA0003547916490000184
And entering step 7.1, if not, entering step 6.1; simultaneous determination
Figure BDA0003547916490000185
Whether or not, if so, modify
Figure BDA0003547916490000186
And entering step 7.2, if not, entering step 6.2;
step six (including steps 6.1-6.2):
step 6.1: judgment of
Figure BDA0003547916490000187
Whether or not, if so, modify
Figure BDA0003547916490000188
Entering step 7.1, if not, directly entering step 7.1;
step 6.2: judgment of
Figure BDA0003547916490000189
Whether or not, if so, modify
Figure BDA00035479164900001810
Go to step 7.2, if not, go to step 7.2 directly
Step seven (including steps 7.1-7.2):
step 7.1: judgment of
Figure BDA00035479164900001811
And is
Figure BDA00035479164900001812
Whether or not, if so, modify
Figure BDA00035479164900001813
And issues a power instruction
Figure BDA00035479164900001814
If the energy storage system is not supplied with the energy, the step 8.1 is carried out;
step 7.2: judgment of
Figure BDA00035479164900001815
And is
Figure BDA00035479164900001816
Whether or not, if so, modify
Figure BDA00035479164900001817
And issues a power instruction
Figure BDA00035479164900001818
If the power type energy storage system is not powered on, the step 8.2 is carried out;
step eight (comprising steps 8.1-8.2):
step 8.1: judgment of
Figure BDA00035479164900001819
And is
Figure BDA00035479164900001820
Whether or not, if so, modify
Figure BDA00035479164900001821
And issues a power instruction
Figure BDA00035479164900001822
If the battery energy storage system is not in operation, the power instruction is directly issued
Figure BDA00035479164900001823
Supplying energy to the battery energy storage system;
step 8.2: judgment of
Figure BDA00035479164900001824
And is
Figure BDA00035479164900001825
Whether or not, if so, modify
Figure BDA00035479164900001826
And issues a power instruction
Figure BDA00035479164900001827
If the power type energy storage system is not satisfied, a power instruction is directly issued
Figure BDA00035479164900001828
To a power-type energy storage system.
Step nine: and then enters the next control loop.
Wherein,
Figure BDA0003547916490000191
expressed as the SOC value of the battery energy storage system at time t +1,
Figure BDA0003547916490000192
expressed as the SOC value of the power type energy storage system at time t +1,
Figure BDA0003547916490000193
represents the SOC upper limit value of the battery energy storage system,
Figure BDA0003547916490000194
represents the lower limit value of the SOC of the battery energy storage system,
Figure BDA0003547916490000195
represents the SOC upper limit value of the power type energy storage system,
Figure BDA0003547916490000196
representing the lower SOC limit value of the power storage system.
The invention also provides a multi-type energy storage coordination control system at the new energy power station side, which comprises the following components:
an energy storage system configuration module: configuring an energy storage system in a new energy power station, wherein the application mode of the energy storage system comprises a first application mode and a second application mode, and the energy storage system comprises a power type energy storage system and a battery energy storage system;
an energy storage power demand calculation module: the method is used for calculating the energy storage power requirements under each application mode in parallel; the energy storage power demand calculation module comprises a first calculation module and a second calculation module, wherein: a first calculation module: the energy storage power demand under the first application mode is calculated; the first application mode is an inertia support and primary frequency modulation application mode;
the first calculation module realizes the following flow:
acquiring real-time frequency f of energy storage system at preset first sampling time intervalt；
Real-time frequency f based on energy storage systemtCalculating the real-time frequency deviation delta f of the energy storage systemt＝ft-50 and real time frequency fluctuation ratio
Figure BDA0003547916490000197
Determining real-time frequency deviation Δ ftWhether or not to cross primary frequency modulation dead zone fd；
If so, based on the real-time frequency f of the energy storage systemtAnd calculating a droop coefficient xi of an energy storage system configured in the new energy power station and participating in primary frequency modulation of the power gridt；
Figure BDA0003547916490000201
And satisfies the following constraints:
-0.1≤ξt≤0.1
when in use
Figure BDA0003547916490000202
And xit>At 0, the correction is: xi shapet＝0；
In the formula (f)tIs the real-time frequency, f, of the energy storage systemNRepresenting the power frequency of the grid, fdRepresents the primary frequency modulation dead zone of the new energy power station, delta percent represents the difference rate of the primary frequency modulation,
Figure BDA0003547916490000203
representing the actual output power of the new energy power station at the moment t,
Figure BDA0003547916490000204
representing the installed capacity of the new energy power station;
based on xitCalculating the power demand of the energy storage system of the first application mode, when the power instruction of the energy storage system is negative, charging the stored energy, and when the power instruction of the energy storage system is positive, discharging the stored energy;
Figure BDA0003547916490000205
in the formula,
Figure BDA0003547916490000206
representing the energy storage power requirement in the first application mode at the moment t;
if not, based on
Figure BDA0003547916490000207
Calculating the real-time power grid inertia support requirement:
Figure BDA0003547916490000208
in the formula,
Figure BDA0003547916490000209
representing the power grid inertia support requirement at the moment t, KInertiaAnd representing the virtual inertia coefficient of the energy storage system participating in the inertia support.
A second calculation module: the energy storage power demand under the second application mode is calculated; the second application mode is an application mode for reducing the power rejection rate and compensating the power prediction error;
the second calculation module realizes the following flow:
acquiring a day-ahead power prediction data sample of a new energy power station and scheduled power limiting power data;
acquiring power generation power data of the new energy power station in real time at preset second sampling time interval
Figure BDA00035479164900002010
Real-time collection of SOC value of battery energy storage system
Figure BDA0003547916490000211
Judging whether the current time is the electricity limiting time period or not, and if so, calculating the power requirement of the energy storage system at the current time
Figure BDA0003547916490000212
If not, calculating the power prediction error of the new energy power station in real time
Figure BDA0003547916490000213
Judging the power prediction error value range if
Figure BDA0003547916490000214
If yes, judging the real-time SOC value of the battery energy storage system, and if yes, judging the real-time SOC value of the battery energy storage system
Figure BDA0003547916490000215
And if yes, calculating the energy storage power requirement in the second application mode
Figure BDA0003547916490000216
If it is not
Figure BDA0003547916490000217
If the condition is not satisfied, calculating the energy storage power requirement in the second application mode
Figure BDA0003547916490000218
If it is not
Figure BDA0003547916490000219
If not, judging the power prediction error value range again, if so, judging the power prediction error value range again
Figure BDA00035479164900002110
If yes, judging the real-time SOC value of the battery energy storage system, and if yes, judging the real-time SOC value of the battery energy storage system
Figure BDA00035479164900002111
And establishing, executing maximum charging, realizing SOC (System on chip) callback of the battery energy storage system, and calculating to obtain the energy storage power requirement of
Figure BDA00035479164900002112
If it is used
Figure BDA00035479164900002113
If the situation is not true, the energy storage power demand is calculated to be
Figure BDA00035479164900002114
If it is not
Figure BDA00035479164900002115
If the situation is not true, the energy storage power demand is calculated to be
Figure BDA00035479164900002116
Wherein,
Figure BDA00035479164900002117
the power prediction error of the new energy power station at the moment t is shown,
Figure BDA00035479164900002118
representing the energy storage power requirement in the second application mode at time t,
Figure BDA00035479164900002119
the output upper limit value of the new energy power station at the time t in the power limiting time period issued by dispatching is shown,
Figure BDA00035479164900002120
representing the actual output power of the new energy power station at the moment t,
Figure BDA00035479164900002121
the predicted output power of the new energy power station at the time t is shown, alpha is a predicted allowable error bandwidth value of the new energy power station,
Figure BDA00035479164900002122
represents the SOC value of the battery energy storage system at the moment t,
Figure BDA00035479164900002123
and the installed capacity of the new energy power station is represented.
A coordination control module: the system comprises a power type energy storage system, a battery energy storage system, a new energy station side and a power type energy storage system, wherein the power type energy storage system and the battery energy storage system are used for calculating and coordinately distributing the total energy storage power demand according to the energy storage power demand in each application mode, and controlling the charging and discharging of the power type energy storage system and the battery energy storage system under the constraint of the safe and stable operation boundary of the energy storage system, so that the multi-type energy storage coordination control of the new energy station side is realized;
the coordination control module realizes the following processes:
real-time input of energy storage power requirement fed back in first application mode
Figure BDA0003547916490000221
And the energy storage power requirement fed back in the second application mode
Figure BDA0003547916490000222
The first sampling time interval of the first application mode is taken as the calculation time interval of the total power requirement, and the energy storage total power requirement considering the multiple modes is calculated in real time
Figure BDA0003547916490000223
Decomposing the total power demand of the stored energy by adopting a frequency domain decomposition algorithm to obtain a high-frequency power instruction and a low-frequency power instruction, and taking the low-frequency power instruction as a power instruction of the battery energy storage system
Figure BDA0003547916490000224
Using the high-frequency power instruction as the power instruction of the power type energy storage system
Figure BDA0003547916490000225
Judgment of
Figure BDA0003547916490000226
Whether or not, if so, modify
Figure BDA0003547916490000227
And entering step B1, if not, entering step A1; simultaneous determination
Figure BDA0003547916490000228
Whether or not, if so, modify
Figure BDA0003547916490000229
And entering step B2, if not, entering step A2;
step A1: judgment of
Figure BDA00035479164900002210
Whether or not, if so, modify
Figure BDA00035479164900002211
Entering step B1, if not, directly entering step B1;
step A2: judgment of
Figure BDA00035479164900002212
Whether or not, if so, modify
Figure BDA00035479164900002213
Entering step B2, if not, directly entering step B2;
step B1: judgment of
Figure BDA00035479164900002214
And is
Figure BDA00035479164900002215
Whether or not, if so, modify
Figure BDA00035479164900002216
And issues a power instruction
Figure BDA00035479164900002217
If the energy storage system is not supplied, the step C1 is executed;
step B2: judgment of
Figure BDA00035479164900002218
And is
Figure BDA00035479164900002219
Whether or not, if so, modify
Figure BDA00035479164900002220
And issues a power instruction
Figure BDA00035479164900002221
If not, the step C2 is executed for the power type energy storage system;
step C1: judgment of
Figure BDA00035479164900002222
And is
Figure BDA00035479164900002223
Whether or not, if so, modify
Figure BDA00035479164900002224
And issues a power instruction
Figure BDA00035479164900002225
If the battery energy storage system is not in operation, the power instruction is directly issued
Figure BDA00035479164900002226
Supplying energy to the battery energy storage system;
step C2: judgment of
Figure BDA00035479164900002227
And is
Figure BDA00035479164900002228
Whether or not, if so, modify
Figure BDA00035479164900002229
And issues a power instruction
Figure BDA0003547916490000231
If the power type energy storage system is not satisfied, a power instruction is directly issued
Figure BDA0003547916490000232
A power supply type energy storage system;
wherein,
Figure BDA0003547916490000233
expressed as the SOC value of the battery energy storage system at time t +1,
Figure BDA0003547916490000234
expressed as the SOC value of the power-type energy storage system at time t +1,
Figure BDA0003547916490000235
represents the SOC upper limit value of the battery energy storage system,
Figure BDA0003547916490000236
represents the lower limit value of the SOC of the battery energy storage system,
Figure BDA0003547916490000237
represents the SOC upper limit value of the power type energy storage system,
Figure BDA0003547916490000238
representing the lower SOC limit value of the power storage system.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: although the present invention has been described in detail with reference to the above embodiments, those skilled in the art will appreciate that various changes, modifications and equivalents can be made in the embodiments of the invention without departing from the scope of the invention as defined by the appended claims.

Claims (11)

1. The multi-type energy storage coordination control method of the new energy power station side is characterized by comprising the following steps:
configuring an energy storage system in a new energy power station, wherein the application mode of the energy storage system comprises a first application mode and a second application mode, and the energy storage system comprises a power type energy storage system and a battery energy storage system;
calculating energy storage power requirements under each application mode in parallel;
and calculating and coordinately distributing the total energy storage power demand according to the energy storage power demand in each application mode, and controlling the charging and discharging of the power type energy storage system and the battery energy storage system under the constraint of the safe and stable operation boundary of the energy storage system.
2. The multi-type energy storage coordination control method at the new energy station side according to claim 1, wherein the parallel computing of the energy storage power requirements in each application mode specifically includes: calculating the energy storage power requirement in the first application mode, and calculating the energy storage power requirement in the second application mode;
the first application mode is an inertia support and primary frequency modulation application mode, and the second application mode is an application mode for reducing power rejection rate and compensating power prediction errors.
3. The multi-type energy storage coordination control method at the new energy station side according to claim 2, wherein the calculating of the energy storage power requirement in the first application mode specifically includes:
acquiring real-time frequency f of energy storage system at preset first sampling time intervalt；
Real-time frequency f based on energy storage systemtCalculating the real-time frequency deviation delta f of the energy storage systemt＝ft-50 and real time frequency fluctuation ratio
Figure FDA0003547916480000011
Determining real-time frequency deviation Δ ftWhether or not to cross primary frequency modulation dead zone fd；
If so, based on the real-time frequency f of the energy storage systemtAnd calculating a droop coefficient xi of an energy storage system configured in the new energy power station and participating in primary frequency modulation of the power gridt；
Figure FDA0003547916480000021
And satisfies the following constraints:
-0.1≤ξt≤0.1
when in use
Figure FDA0003547916480000022
And xit>At 0, the correction is: xit＝0；
In the formula (f)tIs the real-time frequency, f, of the energy storage systemNRepresenting the power frequency of the grid, fdRepresents the primary frequency modulation dead zone of the new energy power station, delta percent represents the difference rate of the primary frequency modulation,
Figure FDA0003547916480000023
representing the actual output power of the new energy power station at the moment t,
Figure FDA0003547916480000024
representing the installed capacity of the new energy power station;
based on xitCalculating the power demand of the energy storage system of the first application mode, when the power instruction of the energy storage system is negative, charging the stored energy, and when the power instruction of the energy storage system is positive, discharging the stored energy;
Figure FDA0003547916480000025
in the formula,
Figure FDA0003547916480000026
representing the energy storage power requirement in the first application mode at the moment t;
if not, based on
Figure FDA0003547916480000027
Calculating the real-time power grid inertia support requirement:
Figure FDA0003547916480000028
in the formula,
Figure FDA0003547916480000029
representing the power grid inertia support requirement at the moment t, KInertiaAnd representing the virtual inertia coefficient of the energy storage system participating in the inertia support.
4. The multi-type energy storage coordination control method at the new energy station side according to claim 3, wherein the calculating of the energy storage power requirement in the second application mode specifically includes:
acquiring a day-ahead power prediction data sample of a new energy power station and scheduled power limiting power data;
acquiring power generation power data of the new energy power station in real time at preset second sampling time interval
Figure FDA00035479164800000210
Real-time collection of SOC value of battery energy storage system
Figure FDA00035479164800000211
Judging whether the current time is the electricity limiting time period or not, and if so, calculating the power requirement of the energy storage system at the current time
Figure FDA0003547916480000031
If not, calculating the power prediction error of the new energy power station in real time
Figure FDA0003547916480000032
Judging the power prediction error value range if
Figure FDA0003547916480000033
If yes, judging the real-time SO of the battery energy storage systemC value, if
Figure FDA0003547916480000034
And if yes, calculating the energy storage power requirement in the second application mode
Figure FDA0003547916480000035
If it is not
Figure FDA0003547916480000036
If the condition is not satisfied, calculating the energy storage power requirement in the second application mode
Figure FDA0003547916480000037
If it is not
Figure FDA0003547916480000038
If not, judging the power prediction error value range again, if so, judging the power prediction error value range again
Figure FDA0003547916480000039
If yes, judging the real-time SOC value of the battery energy storage system, and if yes, judging the real-time SOC value of the battery energy storage system
Figure FDA00035479164800000310
And establishing, executing maximum charging, realizing SOC (System on chip) callback of the battery energy storage system, and calculating to obtain the energy storage power requirement of
Figure FDA00035479164800000311
If it is not
Figure FDA00035479164800000312
If the situation is not true, the energy storage power demand is calculated to be
Figure FDA00035479164800000313
If it is not
Figure FDA00035479164800000314
If the situation is not true, the energy storage power demand is calculated to be
Figure FDA00035479164800000315
Wherein,
Figure FDA00035479164800000316
the power prediction error of the new energy power station at the moment t is shown,
Figure FDA00035479164800000317
representing the energy storage power requirement in the second application mode at time t,
Figure FDA00035479164800000318
the output upper limit value of the new energy power station at the time t in the power limiting time period issued by dispatching is shown,
Figure FDA00035479164800000319
the actual output power of the new energy power station at the moment t is shown,
Figure FDA00035479164800000320
the predicted output power of the new energy power station at the time t is shown, alpha is a predicted allowable error bandwidth value of the new energy power station,
Figure FDA00035479164800000321
represents the SOC value of the battery energy storage system at the moment t,
Figure FDA00035479164800000322
and the installed capacity of the new energy power station is represented.
5. The multi-type energy storage coordination control method at the new energy station side according to claim 4, wherein the calculating and coordination distribution of the real-time total energy storage power demand according to the energy storage power demand in each application mode specifically comprises:
real-time input of energy storage power requirement fed back in first application mode
Figure FDA00035479164800000323
And the energy storage power requirement fed back in the second application mode
Figure FDA00035479164800000324
The first sampling time interval of the first application mode is taken as the calculation time interval of the total power requirement, and the energy storage total power requirement considering the multiple modes is calculated in real time
Figure FDA0003547916480000041
Decomposing the total power demand of the stored energy by adopting a frequency domain decomposition algorithm to obtain a high-frequency power instruction and a low-frequency power instruction, and taking the low-frequency power instruction as a power instruction of the battery energy storage system
Figure FDA0003547916480000042
Using the high-frequency power instruction as the power instruction of the power type energy storage system
Figure FDA0003547916480000043
Judgment of
Figure FDA0003547916480000044
Whether or not, if so, modify
Figure FDA0003547916480000045
And entering step B1, if not, entering step A1; simultaneous determination
Figure FDA0003547916480000046
Whether or not, if so, modify
Figure FDA0003547916480000047
And entering step B2, if not, entering step A2;
step A1: judgment of
Figure FDA0003547916480000048
Whether or not, if so, modify
Figure FDA0003547916480000049
Entering step B1, if not, directly entering step B1;
step A2: judgment of
Figure FDA00035479164800000410
Whether or not, if so, modify
Figure FDA00035479164800000411
Entering step B2, if not, directly entering step B2;
step B1: judgment of
Figure FDA00035479164800000412
And is
Figure FDA00035479164800000413
Whether or not, if so, modify
Figure FDA00035479164800000414
And issues a power instruction
Figure FDA00035479164800000415
If the energy storage system is not supplied, the step C1 is executed;
step B2: judgment of
Figure FDA00035479164800000416
And is
Figure FDA00035479164800000417
Whether or not, ifEstablishment of modification
Figure FDA00035479164800000418
And issues a power instruction
Figure FDA00035479164800000419
If the power type energy storage system is not powered on, the step C2 is executed;
step C1: judgment of
Figure FDA00035479164800000420
And is provided with
Figure FDA00035479164800000421
Whether or not, if so, modify
Figure FDA00035479164800000422
And issues power commands
Figure FDA00035479164800000423
If the battery energy storage system is not in operation, the power instruction is directly issued
Figure FDA00035479164800000424
Supplying energy to the battery energy storage system;
step C2: judgment of
Figure FDA00035479164800000425
And is
Figure FDA00035479164800000426
Whether or not, if so, modify
Figure FDA00035479164800000427
And issues a power instruction
Figure FDA00035479164800000428
For power-supply type energy-storage systems, if not, straightReceiving a power down command
Figure FDA00035479164800000429
A power supply type energy storage system;
wherein,
Figure FDA00035479164800000430
expressed as the SOC value of the battery energy storage system at time t +1,
Figure FDA00035479164800000431
expressed as the SOC value of the power-type energy storage system at time t +1,
Figure FDA0003547916480000051
represents the SOC upper limit value of the battery energy storage system,
Figure FDA0003547916480000052
represents the lower limit value of the SOC of the battery energy storage system,
Figure FDA0003547916480000053
represents the SOC upper limit value of the power type energy storage system,
Figure FDA0003547916480000054
representing the lower SOC limit value of the power storage system.
6. The multi-type energy storage coordinated control system of new forms of energy power station side, its characterized in that includes:
an energy storage system configuration module: the method comprises the steps that an energy storage system is configured in a new energy power station, the application mode of the energy storage system comprises a first application mode and a second application mode, and the energy storage system comprises a power type energy storage system and a battery energy storage system;
the energy storage power demand calculation module: the method is used for calculating the energy storage power requirements under each application mode in parallel;
a coordination control module: the method is used for calculating and coordinately distributing the total energy storage power demand according to the energy storage power demand in each application mode, and controlling the charging and discharging of the power type energy storage system and the battery energy storage system under the constraint of the safe and stable operation boundary of the energy storage system.
7. The multi-type energy storage coordination control system at the new energy station side according to claim 6, wherein the energy storage power demand calculation module comprises a first calculation module and a second calculation module, wherein:
a first calculation module: the energy storage power demand under the first application mode is calculated;
a second calculation module: the energy storage power demand in the second application mode is calculated;
the first application mode is an inertia support and primary frequency modulation application mode, and the second application mode is an application mode for reducing power rejection rate and compensating power prediction errors.
8. The system according to claim 7, wherein the first calculation module implements the following process:
acquiring real-time frequency f of energy storage system at preset first sampling time intervalt；
Real-time frequency f based on energy storage systemtCalculating the real-time frequency deviation delta f of the energy storage systemt＝ft-50 and real time frequency fluctuation ratio
Figure FDA0003547916480000055
Determining a real-time frequency deviation Δ ftWhether or not to cross primary frequency modulation dead zone fd；
If so, based on the real-time frequency f of the energy storage systemtAnd calculating a droop coefficient xi of an energy storage system configured in the new energy power station and participating in primary frequency modulation of the power gridt；
Figure FDA0003547916480000061
And satisfies the following constraints:
-0.1≤ξt≤0.1
when in use
Figure FDA0003547916480000062
And xit>At 0, the correction is: xit＝0；
In the formula (f)tIs the real-time frequency, f, of the energy storage systemNRepresenting the power frequency of the grid, fdRepresents the primary frequency modulation dead zone of the new energy power station, delta percent represents the difference rate of the primary frequency modulation,
Figure FDA0003547916480000063
representing the actual output power of the new energy power station at the moment t,
Figure FDA0003547916480000064
the installed capacity of the new energy power station is represented;
based on xitCalculating the power demand of the energy storage system of the first application mode, when the power instruction of the energy storage system is negative, charging the stored energy, and when the power instruction of the energy storage system is positive, discharging the stored energy;
Figure FDA0003547916480000065
in the formula,
Figure FDA0003547916480000066
representing the energy storage power requirement in the first application mode at the moment t;
if not, based on
Figure FDA0003547916480000067
Calculating the real-time power grid inertia support requirement:
Figure FDA0003547916480000068
in the formula,
Figure FDA0003547916480000069
representing the power grid inertia support requirement at the moment t, KInertiaAnd representing the virtual inertia coefficient of the energy storage system participating in the inertia support.
9. The system of claim 8, wherein the second calculation module implements the following process:
acquiring a day-ahead power prediction data sample of a new energy power station and scheduled power limiting power data;
acquiring power generation power data of the new energy power station in real time at preset second sampling time interval
Figure FDA0003547916480000071
Real-time collection of SOC value of battery energy storage system
Figure FDA0003547916480000072
Judging whether the current time is the electricity limiting time period or not, and if so, calculating the power requirement of the energy storage system at the current time
Figure FDA0003547916480000073
If not, calculating the power prediction error of the new energy power station in real time
Figure FDA0003547916480000074
Judging the power prediction error value range if
Figure FDA0003547916480000075
If yes, the real-time SOC value of the battery energy storage system is judged, and if yes, the real-time SOC value of the battery energy storage system is judged
Figure FDA0003547916480000076
And if yes, calculating the energy storage power requirement in the second application mode
Figure FDA0003547916480000077
If it is not
Figure FDA0003547916480000078
If the condition is not satisfied, calculating the energy storage power requirement in the second application mode
Figure FDA0003547916480000079
If it is not
Figure FDA00035479164800000710
If not, judging the power prediction error value range again, if so, judging the power prediction error value range again
Figure FDA00035479164800000711
If yes, judging the real-time SOC value of the battery energy storage system, and if yes, judging the real-time SOC value of the battery energy storage system
Figure FDA00035479164800000712
And establishing, executing maximum charging, realizing SOC (System on chip) callback of the battery energy storage system, and calculating to obtain the energy storage power requirement of
Figure FDA00035479164800000713
If it is used
Figure FDA00035479164800000714
If the situation is not true, the energy storage power demand is calculated to be
Figure FDA00035479164800000715
If it is not
Figure FDA00035479164800000716
If the situation is false, the energy storage work is obtained by calculationRate requirement of
Figure FDA00035479164800000717
Wherein,
Figure FDA00035479164800000718
the power prediction error of the new energy power station at the moment t is shown,
Figure FDA00035479164800000719
representing the energy storage power requirement in the second application mode at time t,
Figure FDA00035479164800000720
the output upper limit value of the new energy power station at the time t in the power limiting time period issued by dispatching is shown,
Figure FDA00035479164800000721
representing the actual output power of the new energy power station at the moment t,
Figure FDA00035479164800000722
the predicted output power of the new energy power station at the time t is shown, alpha is a predicted allowable error bandwidth value of the new energy power station,
Figure FDA00035479164800000723
represents the SOC value of the battery energy storage system at the moment t,
Figure FDA00035479164800000724
and the installed capacity of the new energy power station is represented.
10. The system of claim 8, wherein the coordination control module implements the following process:
real-time input of energy storage power requirement fed back in first application mode
Figure FDA0003547916480000081
And the energy storage power requirement fed back in the second application mode
Figure FDA0003547916480000082
The first sampling time interval of the first application mode is taken as the calculation time interval of the total power requirement, and the energy storage total power requirement considering the multiple modes is calculated in real time
Figure FDA0003547916480000083
Decomposing the total power demand of the stored energy by adopting a frequency domain decomposition algorithm to obtain a high-frequency power instruction and a low-frequency power instruction, and taking the low-frequency power instruction as a power instruction of the battery energy storage system
Figure FDA0003547916480000084
Using the high-frequency power instruction as the power instruction of the power type energy storage system
Figure FDA0003547916480000085
Judgment of
Figure FDA0003547916480000086
Whether or not, if so, modify
Figure FDA0003547916480000087
And entering step B1, if not, entering step A1; simultaneous determination
Figure FDA0003547916480000088
Whether or not, if so, modify
Figure FDA0003547916480000089
And entering step B2, if not, entering step A2;
step A1: judgment of
Figure FDA00035479164800000810
Whether or not, if so, modify
Figure FDA00035479164800000811
Entering step B1, if not, directly entering step B1;
step A2: judgment of
Figure FDA00035479164800000812
Whether or not, if so, modify
Figure FDA00035479164800000813
Entering step B2, if not, directly entering step B2;
step B1: judgment of
Figure FDA00035479164800000814
And is
Figure FDA00035479164800000815
Whether or not, if so, modify
Figure FDA00035479164800000816
And issues a power instruction
Figure FDA00035479164800000817
If the energy storage system is not supplied, the step C1 is executed;
step B2: judgment of
Figure FDA00035479164800000818
And is
Figure FDA00035479164800000819
Whether or not, if so, modify
Figure FDA00035479164800000820
Under and runPower command
Figure FDA00035479164800000821
If not, the step C2 is executed for the power type energy storage system;
step C1: judgment of
Figure FDA00035479164800000822
And is
Figure FDA00035479164800000823
Whether or not, if so, modify
Figure FDA00035479164800000824
And issues a power instruction
Figure FDA00035479164800000825
If the battery energy storage system is not in operation, the power instruction is directly issued
Figure FDA00035479164800000826
Supplying energy to the battery energy storage system;
step C2: judgment of
Figure FDA00035479164800000827
And is
Figure FDA00035479164800000828
Whether or not, if so, modify
Figure FDA00035479164800000829
And issues a power instruction
Figure FDA00035479164800000830
If the power type energy storage system is not satisfied, a power instruction is directly issued
Figure FDA00035479164800000831
A power supply type energy storage system;
wherein,
Figure FDA0003547916480000091
expressed as the SOC value of the battery energy storage system at time t +1,
Figure FDA0003547916480000092
expressed as the SOC value of the power-type energy storage system at time t +1,
Figure FDA0003547916480000093
represents the SOC upper limit value of the battery energy storage system,
Figure FDA0003547916480000094
represents the lower limit value of the SOC of the battery energy storage system,
Figure FDA0003547916480000095
represents the SOC upper limit value of the power type energy storage system,
Figure FDA0003547916480000096
representing the lower SOC limit value of the power storage system.
11. A computer-readable storage medium storing a computer program, wherein the computer program is executed by a processor to implement the steps of the multi-type energy storage coordination control method on the new energy station side according to any one of claims 1 to 5.
CN202210255072.5A 2022-03-15 2022-03-15 Multi-type energy storage coordination control method and system for new energy power station side Pending CN114567019A (en)

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CN117439128B (en) * 2023-10-26 2024-03-26 国网青海省电力公司清洁能源发展研究院 Multi-element energy storage and new energy collaborative planning configuration method

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