CN111030190A - Source-grid-load coordination control method of data-driven new energy power system - Google Patents

Source-grid-load coordination control method of data-driven new energy power system Download PDF

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CN111030190A
CN111030190A CN201911252650.4A CN201911252650A CN111030190A CN 111030190 A CN111030190 A CN 111030190A CN 201911252650 A CN201911252650 A CN 201911252650A CN 111030190 A CN111030190 A CN 111030190A
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power
new energy
current
data
transmission system
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CN111030190B (en
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马明
汪宁渤
吕清泉
张睿骁
赵龙
周强
郝晓弘
胡开伟
顾群
张萍
丁玉涵
韩旭杉
马彦宏
丁坤
陈钊
王明松
张健美
张艳丽
张彦琪
王定美
李津
张金平
黄蓉
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State Grid Corp of China SGCC
State Grid Gansu Electric Power Co Ltd
Electric Power Research Institute of State Grid Gansu Electric Power Co Ltd
Lanzhou University of Technology
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State Grid Corp of China SGCC
State Grid Gansu Electric Power Co Ltd
Electric Power Research Institute of State Grid Gansu Electric Power Co Ltd
Lanzhou University of Technology
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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
    • 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
    • H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
    • H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
    • 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
    • H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
    • 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
    • H02J3/50—Controlling the sharing of the out-of-phase component
    • 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
    • H02J5/00—Circuit arrangements for transfer of electric power between ac networks and dc networks
    • 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
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
    • 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
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/70—Wind energy
    • Y02E10/76—Power conversion electric or electronic aspects
    • 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
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/10—Flexible AC transmission systems [FACTS]
    • 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20—End-user application control systems
    • Y04S20/222—Demand response systems, e.g. load shedding, peak shaving

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  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention mainly relates to the field of flexible alternating current-direct current series-parallel connection power transmission control after large-scale wind power and photovoltaic are connected into a large power grid, in particular to a source-grid-load coordination control method of a data-driven new energy power system; the method comprises the following steps: the dispatching center carries out cluster analysis on the electric load data and the new energy output data; step two: the method comprises the following steps of (1) optimally controlling STATCOMs at outlets of a new energy wind power plant and a photovoltaic power station; step three: optimizing and controlling a Unified Power Flow Controller (UPFC) of an alternating current transmission system in a transmission system; step four: optimally controlling a hybrid flexible direct current power transmission system (LCC-MMC) in a power transmission system; the source-grid-load coordinated operation capability of the new energy power system is effectively improved.

Description

Source-grid-load coordination control method of data-driven new energy power system
Technical Field
The invention mainly relates to the field of flexible alternating current-direct current series-parallel connection power transmission control after large-scale wind power and photovoltaic are connected into a large power grid, and particularly relates to a source-grid-load coordination control method of a data-driven new energy power system.
Background
In relation to the research situation of key technologies for comprehensive utilization of high-proportion new energy, researches are carried out in various aspects such as system control, new energy power supply and power grid planning, extra-high voltage alternating current and direct current transmission technology, new energy consumption technology, market consumption and delivery technology, coordinated operation control and optimization technology, electric power system safety and stability control technology and the like at home and abroad at present.
Due to the natural characteristics of new energy resources in China, wind energy resources in northwest regions of China are abundant, the theoretical reserve of the wind energy resources in Gansu province is 2.37 hundred million kilowatts according to statistics, and the amount capable of being developed and utilized is about 4000 million kilowatts. Wind power of Gansu province is increased by about 239 times in nearly 10 years, the total installed capacity of the wind power of Gansu province is expected to reach 2500 million kilowatts in 2020 years, the coordination operation control and the absorption and delivery technology research is required for the construction of a high-proportion centralized development new energy base, and a wind power plant photovoltaic power station cluster control system, a wind and fire bundling energy base alternating current and direct current delivery coordination control and safety defense system and the like are provided, and the system is applied to Gansu provinces and the like, but particularly under the condition of an alternating current and direct current hybrid power grid, the high-proportion new energy resource optimization configuration, the power coordination operation control and the absorption research of high-proportion renewable energy are still in a blank state. The research work of developing high-proportion new energy resource optimization configuration, electric power coordinated operation control and consumption key technology based on the problems of insufficient consumption capacity, uncoordinated multi-source operation control, insufficient technical innovation, missing auxiliary service mechanism and the like of a large-scale renewable energy base is of great significance.
Disclosure of Invention
The invention provides a source network coordinated operation control strategy for a Hexi power grid, which implements a source-network-load layered coordination control strategy aiming at the randomness characteristic of a power supply end and a load end of a new energy power system, and mainly comprises the following steps: the method comprises the steps that electric power big data are utilized to analyze load electricity utilization characteristics and power supply end wind power and photovoltaic output characteristics, a dispatching center sends corresponding instructions to a power supply side control system, a power transmission network control system and a load control system through analyzing load data, power transmission network data, power supply end wind power and photovoltaic output data, and each layer of control system controls corresponding flexible power transmission elements according to the instructions of the dispatching center, balances system tide and improves system operation stability.
The specific scheme is as follows:
the source-grid-load coordination control method of the data-driven new energy power system comprises the following steps:
the method comprises the following steps: the dispatching center carries out cluster analysis on the electric load data and the new energy output data;
step two: the method comprises the following steps of (1) optimally controlling STATCOMs at outlets of a new energy wind power plant and a photovoltaic power station;
step three: optimizing and controlling a Unified Power Flow Controller (UPFC) of an alternating current transmission system in a transmission system;
step four: and optimally controlling the LCC-C-MMC of the hybrid flexible direct current transmission system in the transmission system.
In the first step, the clustering analysis is carried out on the electric load data and the new energy output data, the K-mean algorithm is adopted for calculation,
Figure BDA0002309456350000021
Figure BDA0002309456350000022
in the formula: wherein c isiAs a cluster center, xiData points, k, are the number of cluster centers.
In the second step, when the STATCOM is optimally controlled to be stable, the reactive current and active current effective value absorbed by the STATCOM from the power grid are calculated:
Figure BDA0002309456350000023
Figure BDA0002309456350000024
in the formula: the loss of the connection transformer is equivalent to a resistor R and a reactor X,
Figure BDA0002309456350000025
for connecting the impedance angle of the impedor, the network voltage is
Figure BDA00023094563500000312
Fundamental voltage on AC side of converter
Figure BDA00023094563500000313
And voltage connected to the reactance resistance
Figure BDA00023094563500000314
In the third step, the UPFC optimization control of the AC power transmission system unified power flow controller in the power transmission system is divided into the calculation of the current of the parallel branch and the calculation of the power of the parallel branch, and the total current of the parallel branch
Figure BDA0002309456350000031
Is decomposed into
Figure BDA0002309456350000032
And
Figure BDA0002309456350000033
two components:
Figure BDA0002309456350000034
in the formula:
Figure BDA0002309456350000035
and
Figure BDA0002309456350000036
the two components are respectively connected with the node voltage
Figure BDA0002309456350000037
In-phase and vertical;
the power of the parallel branch is:
Figure BDA0002309456350000038
Figure BDA0002309456350000039
in the formula P1Active power at this point, Q1Is the reactive power at that point in time,
Figure BDA00023094563500000310
is the voltage at the point of parallel connection,
Figure BDA00023094563500000311
is the current at that point
In the fourth step, the LCC-MMC optimization control of the hybrid flexible direct current transmission system in the transmission system is divided into constant current control of the rectifying side, inner ring current control of the inverter side MMC and outer ring current control of the inverter side MMC.
The invention has the beneficial effects that: the invention provides a source network coordinated operation control strategy for a Hexi power grid, which implements a source-network-load layered coordination control strategy aiming at the randomness characteristic of a power supply end and a load end of a new energy power system, and mainly comprises the following steps: the method comprises the steps that electric power big data are utilized to analyze load electricity utilization characteristics and power supply end wind power and photovoltaic output characteristics, a dispatching center sends corresponding instructions to a power supply side control system, a power transmission network control system and a load control system through analyzing load data, power transmission network data, power supply end wind power and photovoltaic output data, each layer of control system controls corresponding flexible power transmission elements according to the instructions of the dispatching center, system tide is balanced, system operation stability is improved, and the source-network-load coordinated operation capacity of a new energy power system is further improved.
Drawings
FIG. 1 is a block diagram of the overall system architecture;
FIG. 2 is a schematic diagram of a STATCOM apparatus;
FIG. 3 is a STATCOM control system diagram, a STATCOM working principle diagram;
FIG. 4 is a UPFC steady state equivalent circuit;
FIG. 5 is a block diagram of the basic control of the UPFC;
FIG. 6 is a STATCOM mirror control diagram.
Detailed Description
The technical scheme of the invention is further explained by specific embodiments in the following with the accompanying drawings:
example 1
Step 1: carrying out cluster analysis on the power load data and the new energy output data such as wind power, photovoltaic and the like by using a K-mean algorithm;
steps of the algorithm
Inputting: all data points A, cluster number K
And (3) outputting: k cluster center points
Randomly selecting K initial clustering centers
Repeat
Calculating the distance between each point and each central point, and distributing the points to the cluster to which the central point closest to the point belongs
C is obtained by the following formulajAnd updating the center point of the cluster.
Figure BDA0002309456350000041
Figure BDA0002309456350000042
The center point does not change. Wherein c isiAs a cluster center, xiData points, k, are the number of cluster centers.
Step 2: STATCOM control strategies at outlets of the wind power plant and the photovoltaic power station;
the actual equivalent circuit of statcom, as shown in fig. 2. The grid voltage and the alternating voltage output by STATCOM are respectively used
Figure BDA0002309456350000051
And
Figure BDA0002309456350000052
the loss of the connection transformer is equivalent to a resistor R and a reactor X; the working vector diagram of the current lead and the current lag is shown in figure 3, and the STATCOM working vector diagram is analyzed according to the grid voltage in the diagram
Figure BDA0002309456350000053
Fundamental voltage on AC side of converter
Figure BDA0002309456350000054
And voltage connected to the reactance resistance
Figure BDA0002309456350000055
The following equation can be obtained for the constructed trigonometric relationship:
Figure BDA0002309456350000056
this gives:
Figure BDA0002309456350000057
in the formula (I), the compound is shown in the specification,
Figure BDA0002309456350000058
is the impedance angle of the connecting impeder.
According to the method, the effective values of the reactive current and the active current absorbed by the STATCOM from the power grid during stabilization are deduced to be respectively:
Figure BDA0002309456350000059
it can be seen that if the sign of the reactive current is positive by absorbing the lag force and negative by absorbing the lead current, then when the inverter voltage lags the system voltage; when the STATCOM absorbs the lead current from the power grid, the steady state still satisfies the above formula.
Slope control of STATCOM
In practice, the static compensator does not act as an ideal terminal voltage regulator, but rather allows the terminal voltage to vary in a proportional manner as the compensation current varies. Mainly for several reasons:
(1) a compensator has a given maximum capacitive or inductive output rating in the linear operating range and if its slope can be adjusted, it can extend its range of application. The slope regulation means that when the capacitive load is completely compensated, the terminal voltage is lower than the no-load voltage; on the contrary, when the inductive load is completely compensated, the terminal voltage is higher than the normal value;
(2) under ideal slope-free regulation control, when the system impedance presents low impedance characteristics in a rated frequency range, an abnormal working point is possible, and oscillation is possible to be generated;
(3) slope regulation can enhance automatic sharing of loads between static compensators, and between other voltage regulation devices used to control transmission line voltage regulation.
It can be seen that the input signal KIQ (with the polarity of the capacitive current negative) which is proportional to the compensation current and has the appropriate polarity is the input terminal for mirror control, and is proportional to the reference voltage UrefTo obtain the effective reference voltage value
Figure BDA0002309456350000061
Thus, this effective voltage reference value can be expressed as:
Figure BDA0002309456350000062
in the above formula, k is a prescribed slope, which is defined as:
Figure BDA0002309456350000063
wherein, Delta UCmaxFor maximum capacitive output current (I)Qmax＝ICmax) The voltage deviation between the compensator output voltage and the rated value is reduced; delta ULmaxFor maximum inductive output current (I)Qmax＝ILmax) Compensating for an increase in voltage deviation between its output voltage and a nominal value; i isCmaxCompensating current for maximum capacitance; i isLmaxThe maximum inductive compensation current.
Is represented by the formula:
Figure BDA0002309456350000064
in a clear view of the above, it is known that,
Figure BDA0002309456350000065
is controlled according to the nature of the compensation current, i.e. it gradually decreases on the basis of its setting value (value without compensation) as the capacitive compensation current increases, the rate of decrease being determined by the chosen k; otherwise it is accompanied with feelingAnd the sex compensates for the increase in current.
And step 3: UPFC control strategy for unified power flow controller of AC power transmission system
In a steady state situation, the UPFC can be represented by two branches with impedances in series with the ideal voltage source, as shown in FIG. 5(a), graph Z1And Z2The impedances of the parallel and series transformers and the corresponding power losses of the inverter are equalized respectively,
Figure BDA0002309456350000071
and
Figure BDA0002309456350000072
the output voltages of the parallel and series converters are adjusted by GTO gate control signals constituting the converters, respectively.
Total current of parallel branch
Figure BDA0002309456350000073
Is decomposed into
Figure BDA0002309456350000074
And
Figure BDA0002309456350000075
two components, as shown in fig. 5 (b).
In the formula:
Figure BDA0002309456350000077
and
Figure BDA0002309456350000078
the two components are respectively connected with the node voltage
Figure BDA0002309456350000079
In phase and vertical.
The power of the parallel branch is:
Figure BDA00023094563500000710
Figure BDA00023094563500000711
formula (7) above showsqFor the reactive component of the parallel branch, IpIs the active component of the parallel branch.
And 4, step 4: LCC-C-MMC control strategy of hybrid flexible direct current transmission system
1) Rectifying side constant current control
Constant dc current control means that the dc current on the dc line is changed due to a fault or the like, and the current is quickly adjusted to a normal value. The DC current value satisfies the following formula (8),
Figure BDA00023094563500000712
2) inner loop current control method of inversion side MMC
Figure BDA00023094563500000713
And
Figure BDA00023094563500000714
in order to be a state variable, the state variable,
Figure BDA00023094563500000715
is a disturbance component
Figure BDA00023094563500000716
Then for the input variable, it can be seen that there is coupling between the d and q axes. Introducing a voltage coupling compensation term
Figure BDA00023094563500000717
And AC grid voltage feedforward term
Figure BDA00023094563500000718
Positive sequence current control can be obtained by adopting proportional-integral (PI) controlThe input variable value of the controller satisfies the relation of formula (9),
Figure BDA00023094563500000719
in the same way, the input variable value of the negative sequence current controller can also be obtained to satisfy the relation of the formula (10),
Figure BDA0002309456350000081
the dynamic expression (12) of the positive-sequence dq-axis current component can be obtained by substituting equation (9) for equation (11),
Figure BDA0002309456350000082
Figure BDA0002309456350000083
bringing equation (10) into equation (11) yields a dynamic expression (13) for the negative-sequence dq-axis current component,
Figure BDA0002309456350000084
3) MMC outer loop current control method
The inner loop current controller is used for leading
Figure BDA0002309456350000085
And
Figure BDA0002309456350000086
the reference value is tracked, and the outer loop controller calculates the reference value of the inner loop current according to the reference values of active power, reactive power, direct current voltage and the like. In order to suppress the negative-sequence current, to prevent the power electronics from overcurrent, the reference value for the negative-sequence current may be set to zero,
Figure BDA0002309456350000087
when the negative sequence current is zero, solving the positive sequence dq axis current reference values according to the active power reference value and the reactive power reference value respectively,
Figure BDA0002309456350000088
Figure BDA0002309456350000091
when the constant direct current voltage control is adopted, the positive sequence d-axis current reference value can be obtained according to the direct current voltage reference value,
Figure BDA0002309456350000092
the present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. 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: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.

Claims (5)

1. The data-driven new energy power system source-network-load coordination control method is characterized by comprising the following steps of:
the method comprises the following steps: the dispatching center carries out cluster analysis on the electric load data and the new energy output data;
step two: the method comprises the following steps of (1) optimally controlling STATCOMs at outlets of a new energy wind power plant and a photovoltaic power station;
step three: optimizing and controlling a Unified Power Flow Controller (UPFC) of an alternating current transmission system in a transmission system;
step four: and optimally controlling the LCC-MMC of the hybrid flexible direct current transmission system in the transmission system.
2. The source-grid-load coordination control method of the data-driven new energy power system according to claim 1, characterized by comprising the following steps: in the first step, the clustering analysis is carried out on the electric load data and the new energy output data, the K-mean algorithm is adopted for calculation,
Figure FDA0002309456340000011
Figure FDA0002309456340000012
in the formula: SSE (C) is the cluster radius, cjAs a cluster center, xiAnd k is the number of the clustering centers.
3. The source-grid-load coordination control method of the data-driven new energy power system according to claim 1, characterized by comprising the following steps: in the second step, when the STATCOM is optimally controlled to be stable, the reactive current and active current effective value absorbed by the STATCOM from the power grid are calculated:
Figure FDA0002309456340000013
Figure FDA0002309456340000014
in the formula: i isq、IpRespectively the active current, the reactive current and the network voltage U at the access pointSFundamental voltage on AC side of converter
Figure FDA0002309456340000015
Voltage across connecting reactance resistance
Figure FDA0002309456340000016
Figure FDA0002309456340000017
Is the impedance angle of the connecting impeder.
4. The source-grid-load coordination control method of the data-driven new energy power system according to claim 1, characterized by comprising the following steps: in the third step, the UPFC optimization control of the AC power transmission system unified power flow controller in the power transmission system is divided into the calculation of the current of the parallel branch and the calculation of the power of the parallel branch, and the total current of the parallel branch
Figure FDA0002309456340000026
Is decomposed into
Figure FDA0002309456340000027
And
Figure FDA0002309456340000028
two components:
Figure FDA0002309456340000021
in the formula:
Figure FDA0002309456340000029
and
Figure FDA00023094563400000210
the two components are respectively connected with the node voltage
Figure FDA00023094563400000211
In-phase and vertical;
the power of the parallel branch is:
Figure FDA0002309456340000022
Figure FDA0002309456340000023
in the formula: p1Active power at this point, Q1Is the reactive power at that point in time,
Figure FDA0002309456340000024
is the voltage at the point of parallel connection,
Figure FDA0002309456340000025
is the current at that point.
5. The source-grid-load coordination control method of the data-driven new energy power system according to claim 1, characterized by comprising the following steps: in the fourth step, the LCC-MMC optimization control of the hybrid flexible direct current transmission system in the transmission system is divided into constant current control of the rectifying side, inner ring current control of the inverter side MMC and outer ring current control of the inverter side MMC.
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