CN114118579B - New energy station energy storage configuration planning method and device and computer equipment - Google Patents
New energy station energy storage configuration planning method and device and computer equipment Download PDFInfo
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Abstract
The application relates to a new energy station energy storage configuration planning method, a new energy station energy storage configuration planning device, a new energy station energy storage configuration planning computer device, a new energy station storage medium and a new energy station energy storage configuration planning computer program product. The method comprises the following steps: determining reference operation data of the new energy station in each sampling time period based on the historical output data of the new energy station in the historical time period, and substituting the reference operation data into a constructed objective function, wherein the reference operation data comprises predicted output power, actual output power and abandoned new energy power of the new energy station; minimizing an objective function under the operation constraint condition of the constructed energy storage device, the new energy rejection rate constraint condition of the new energy station and the grid-connected fluctuation rate joint constraint condition of the new energy station and the energy storage device to obtain the rated working parameter of the energy storage device which enables the comprehensive operation cost of the new energy station to be minimum, and taking the rated working parameter as an energy storage configuration planning result of the energy storage device, thereby being beneficial to reasonably planning the energy storage configuration capacity and improving the new energy utilization rate.
Description
Technical Field
The present disclosure relates to the field of new energy stations, and in particular, to a method, an apparatus, a computer device, a storage medium, and a computer program product for planning an energy storage configuration of a new energy station.
Background
Under the goals of carbon peak and carbon neutralization, new energy power generation will develop rapidly in a period of time in the future. However, due to the characteristics of intermittence, instability, uncontrollability and the like of new energy stations such as wind power, solar power generation and the like, a plurality of problems still exist in the grid-connected digestion process, and a large amount of new energy phenomena such as wind, light, water and the like are often caused.
The energy storage technology is an important component part and a key supporting technology of a renewable energy high-occupation energy system, an energy internet and the like, can participate in the optimal scheduling of a new energy station high-permeability power system, effectively relieves the uncontrollability of the new energy station, can obviously improve the level of the absorption of renewable energy sources such as wind and light and is beneficial to the operation of a power grid.
However, the state has not yet exported the standard of the energy storage capacity configured by wind power and solar power generation installation, and part of provincial areas require the energy storage configuration capacity to be about 5% -20% of the new energy power generation installation capacity, so that the energy storage configuration capacity is also a wider range, and the practical significance is realized on how to reasonably plan the energy storage configuration capacity.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a new energy station energy storage configuration planning method, apparatus, computer device, storage medium and computer program product.
In a first aspect, the present application provides a method for planning an energy storage configuration of a new energy station. The method comprises the following steps:
determining reference operation data of the new energy station in each sampling time period based on historical output data of the new energy station in a historical time period, wherein the reference operation data in a t sampling time period comprises predicted output power of the new energy station in the t sampling time period
Actual output power P NE.t And discarding new energy power P loss.t ；
Substituting the reference operation data of the new energy station in each sampling time period of the historical time period into the constructed objective function, and minimizing the objective function under the constructed operation constraint condition to obtain the rated working parameters of the energy storage device, wherein the rated working parameters are used as the energy storage configuration planning result of the energy storage device;
the objective function reflects the change relation of the comprehensive operation cost of the new energy station along with the rated working parameters of the energy storage device;
the operation constraint conditions comprise an operation constraint condition of the energy storage device, a new energy rejection rate constraint condition of the new energy station and a grid-connected fluctuation rate joint constraint condition of the new energy station and the energy storage device.
In one embodiment, the objective function constructed is C z ＝C IO +C loss -(F PE +F PF), wherein ,Cz Representing the comprehensive operation cost of the new energy station; c (C) IO Representing the investment operating cost of the energy storage device and being related to the rated operating parameters of the energy storage device; c (C) loss Representing the new energy discarding cost of the new energy station and relating to the new energy discarding power of the new energy station in each sampling period; f (F) PE Representing the rotary reserve capacity calculation cost reduced by the energy storage device for compensating the output power prediction error of the new energy station, and correlating the predicted output power and the actual output power of the new energy station in each sampling time period; f (F) PF Representing reduction of energy storage device to stabilize actual output power fluctuation of new energy stationAnd is related to the actual output power of the new energy station at each sampling period.
In one embodiment, the rated operating parameter of the energy storage device comprises a rated capacity Q of the energy storage device ES.n And rated power P ES.n In the constructed objective function, the investment operation cost C of the energy storage device IO Denoted as C IO ＝(p perQ Q ES.n /η eff +p perP P ES.n +p perA Q ES.n )R+p perO P ES.n； wherein ,pperQ 、p perP 、p perA 、p perO 、η eff And R is the basic technical parameter of the energy storage device, and p perQ Representing the unit energy price, p, of an energy storage device perP Representing the price per unit power of the energy storage device, p perA Representing auxiliary equipment unit energy cost of energy storage device, p perO Representing the unit operation and maintenance cost of the energy storage device, eta eff Represents the energy conversion efficiency of the energy storage device, R represents the equivalent annual conversion coefficient of the energy storage device and
r represents annual rate and Y represents life cycle of the energy storage device. In one embodiment, the new energy costs C of the new energy station loss Represented as
Wherein Δt represents the duration in the T-th sampling period, T represents the total number of sampling periods included in the history period, c loss Representing the cost of new energy per unit power.
In one embodiment, the energy storage device compensates for the rotational reserve capacity calculation cost F of the new energy station reduced by the output power prediction error PE Represented as
Wherein Δt represents the duration in the T-th sampling period, and T represents the sampling period included in the history periodTotal number of p res Means per hour rotary spare capacity unit price, deltaP err.t Representing an output power prediction error compensated by the energy storage device in a t sampling time period, wherein the output power prediction error represents a part of the actual output power of the new energy station exceeding a predicted output power deviation range, and the output power prediction error comprises:
wherein ,
an allowable deviation upper limit coefficient representing the predicted output power of the new energy station relative to the actual output power,/->
And the allowable deviation lower limit coefficient of the predicted output power of the new energy resource station relative to the actual output power is represented.
In one embodiment, the energy storage device calculates the cost F by stabilizing the actual output power fluctuation of the new energy station and reducing the rotary reserve capacity PF Expressed as:
wherein Δt represents the duration in the T-th sampling period, T represents the total number of sampling periods included in the history period, p res Means per hour rotary spare capacity unit price, deltaP flux.t The actual output power fluctuation of the new energy station stabilized by the energy storage device in the t sampling time period is represented, the actual output power fluctuation represents the part of the actual output power of the new energy station exceeding the actual output power deviation range in the previous sampling time period, and the method comprises the following steps:
wherein ,PNE.t-1 Representing the previous sample time of the t-th sample periodActual output of segment, Q NE Is rated capacity of new energy station beta flux.max The maximum fluctuation amount of the output power of the new energy station is the proportion of the rated capacity.
In one embodiment, the rated operating parameter of the energy storage device comprises a rated capacity Q of the energy storage device ES.n And rated power P ES.n The operating constraints of the energy storage device include: rated capacity Q of energy storage device ES.n Rated capacity Q at new energy station NE Is within a predetermined ratio range of (2); and, the charging power P of the energy storage device in any t sampling time period ES.ch.t And discharge power P ES.dis.t Are all within the rated power range; and the energy storage capacity Q of the energy storage device in any t sampling time period ES.t Within the energy storage capacity range of the energy storage device; and the energy storage capacity of the energy storage device in the first sampling time period and the last sampling time period of each day is equal and is the energy storage capacity SOC of the first sampling time period init Q ES.n ，SOC init Is the initial value of SOC of the energy storage device.
In one embodiment, the energy storage device has an energy storage capacity Q during any of the tth sampling periods ES.t Within the energy storage capacity range of the energy storage device, including:
SOC min Q ES.n ≤Q ES.t ≤SOC max Q ES.n ；
wherein ,
SOC max is the maximum value of the SOC of the energy storage device, and the SOC min Is the minimum value of SOC of the energy storage device, Q ES.t-1 Is the energy storage capacity, eta, of the energy storage device in the previous sampling period ch Indicating the charging efficiency, eta of the energy storage device dis Indicating the discharge efficiency of the energy storage device, Δt indicates the duration in the t-th sampling period.
In one embodiment, the new energy rejection constraint of the new energy station includes: new energy discarding rate k of new energy station in history time period loss Satisfy k loss ＜k loss.max； wherein ,
k loss.max the upper limit of the new energy discarding rate of the new energy station is represented, and T represents the total number of sampling periods contained in the history period.
In one embodiment, the grid-tie ripple ratio joint constraint of the energy storage device comprises: combined output power P of new energy station and energy storage device in any t sampling time period sum.t ＝P NE.t -P ES.cht +P ES.dist All satisfy P yc.t.min ≤P sum.t ≤P yc.t.max P bd.t.min ≤P sum.t ≤P bd.t.max； wherein ,PES.cht Representing the charging power of the energy storage device in the t sampling time period, P ES.dist Representing the discharge power of the energy storage device in the t sampling time period;
an allowable deviation upper limit coefficient representing the predicted output power of the new energy station relative to the actual output power,/->
A lower limit coefficient of the allowable deviation of the predicted output power of the new energy station relative to the actual output power is represented; />
wherein ,PNE.1 Is the actual output power of the new energy station in the first sampling time period, beta flux.max The maximum fluctuation amount of the output power of the new energy station is the proportion of the rated capacity.
In a second aspect, the application also provides a new energy station energy storage configuration planning device. The device comprises:
the reference operation data determining module is used for determining reference operation data of the new energy station in each sampling time period based on the historical output data of the new energy station in the historical time period, wherein the reference operation data in the t sampling time period comprises predicted output power of the new energy station in the t sampling time period 
Actual output power P NE.t And discarding new energy power P loss.t ；
The solving module is used for substituting the reference operation data of the new energy station in each sampling time period of the historical time period into the constructed objective function, minimizing the objective function under the constructed operation constraint condition, and obtaining the rated working parameters of the energy storage device as the energy storage configuration planning result of the energy storage device; the objective function reflects the change relation of the comprehensive operation cost of the new energy station along with the rated working parameters of the energy storage device; the operation constraint conditions comprise an operation constraint condition of the energy storage device, a new energy rejection rate constraint condition of the new energy station and a grid-connected fluctuation rate joint constraint condition of the new energy station and the energy storage device.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the steps of the new energy station energy storage configuration planning method provided in the first aspect when executing the computer program.
In a fourth aspect, the present application also provides a computer-readable storage medium. A computer readable storage medium having stored thereon a computer program which when executed by a processor implements the steps of the new energy station energy storage configuration planning method provided in the first aspect.
In a fifth aspect, the present application also provides a computer program product. A computer program product comprising a computer program which when executed by a processor implements the steps of the new energy station energy storage configuration planning method provided in the first aspect.
According to the energy storage configuration planning method, the device, the computer equipment, the storage medium and the computer program product of the new energy station, the history output data of the new energy station is combined with the pre-constructed objective function, so that the energy storage configuration planning result which enables the comprehensive operation cost of the new energy station to be minimum can be obtained under various operation constraint conditions, the reasonable planning of the energy storage configuration capacity is facilitated, and the new energy utilization rate is improved.
Drawings
Fig. 1 is a schematic structural diagram of an electric power system of a new energy station for a new energy station energy storage configuration planning method in an embodiment.
Fig. 2 is a flow chart of a new energy station energy storage configuration planning method in an embodiment.
FIG. 3 is a schematic information flow diagram of the objective function constructed in step 204 in one embodiment.
Fig. 4 is a graph showing the integrated operating costs of a new energy station at different ratios of the rated capacity of the energy storage device to the rated capacity of the new energy station in a practical example.
FIG. 5 is a block diagram of a new energy station energy storage configuration planning device in one embodiment;
fig. 6 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
The structural schematic diagram of the power system of the new energy station, which is oriented to the new energy station energy storage configuration planning method provided by the embodiment of the application, is shown in fig. 1, the new energy station comprises a new energy station and an energy storage device, the new energy station comprises a wind power station and/or a photovoltaic power station, and the new energy station is connected with a power transmission network to supply power to an electric load. The energy storage device can be used for energy transmission network, on one hand, power is obtained from the transmission network to store energy, and on the other hand, the transmission network is supplied with power when necessary. Optionally, the power system further comprises a rotary standby power station, mainly a thermal power station, for providing rotary standby capacity and assisting power dispatching.
In one embodiment, as shown in fig. 2, a method for planning energy storage configuration of a new energy station is provided, and this embodiment is applied to a terminal for illustration by using the method, it can be understood that the method can also be applied to a server, and can also be applied to a system including the terminal and the server, and implemented through interaction between the terminal and the server. The terminal may be, but is not limited to, various personal computers, notebook computers, smart phones and tablet computers. The server may be implemented as a stand-alone server or as a server cluster of multiple servers.
In this embodiment, the method includes the steps of:
Optionally, the historical time period is any period of operation period of the new energy station in the historical operation process. Or, in order to make the selected historical output data more typical and make the planning result of the energy storage configuration more excellent, the historical time period is the maximum output month of the new energy station in the historical operation process, and the maximum output month can be one month with the maximum total output power of the new energy station or one month with the maximum average output power, etc.
The historical time period includes T sampling time periods, and optionally, the duration of any two sampling time periods is equal or different, and in general, the duration of all sampling time periods is equal, which is taken as an example later. The duration deltat in the t sampling time period, namely the duration of each sampling time period can be customized, generally does not exceed one hour, and is generally set to be just an integer number of sampling time periods in one day, so that the division is convenient. For example, the duration of each sampling period may be selected to be 15 minutes, and it is assumed that the historical time period is 30 days, and there are 30×96=2880 sampling periods in the historical time period.
At any t-th sampling timeThe reference operation data in the interval comprises the predicted power of the new energy station in the t sampling period
Actual output power P NE.t And discarding new energy power P loss.t . Actual output power P NE.t The output power of the new energy station in the t sampling time period in the history operation process is obtained. Predicted power of force +.>
The output power of the new energy station in the t sampling time period, which is obtained by utilizing a pre-constructed neural network and other conventional models, can be specifically predicted by adopting various conventional methods in the field, and the embodiment is not developed in detail.
And 204, substituting the reference operation data of the new energy station in each sampling time period of the historical time period into the constructed objective function, and minimizing the objective function under the constructed operation constraint condition to obtain the rated working parameters of the energy storage device as the energy storage configuration planning result of the energy storage device.
The objective function is pre-constructed, and the reference operation data of the new energy station is taken as a parameter to reflect the change relation of the comprehensive operation cost of the new energy station along with the rated working parameter of the energy storage device.
The operation constraint conditions comprise an operation constraint condition of the energy storage device, a new energy rejection rate constraint condition of the new energy station and a grid-connected fluctuation rate joint constraint condition of the new energy station and the energy storage device.
Optionally, the rated operating parameter of the energy storage device comprises a rated capacity Q of the energy storage device ES.n And rated power P ES.n . Rated capacity Q ES.n And rated power P ES.n The energy storage device in this embodiment is rated at power P because the energy storage configuration generally requires continuous energy storage for more than 2 hours ES.n Up to 2 hours of charge/discharge is the configuration standard, the rated capacity Q of the energy storage device ES.n And rated power P ES.n The relation of (2) is: q (Q) ES.n ＝P ES.n X 2 hours.
Optionally, when the at least two sets of rated operating parameters meet the operation constraint condition, and the objective function obtains the minimum value, the set of rated operating parameters with the minimum rated capacity is taken as an energy storage configuration planning result of the energy storage device.
According to the energy storage configuration planning method for the new energy station, the history output data of the new energy station is combined with the pre-constructed objective function, so that the energy storage configuration planning result with the minimum comprehensive operation cost of the new energy station can be obtained under various operation constraint conditions, and the reasonable planning of the energy storage configuration capacity is facilitated.
In one embodiment, the objective function constructed in step 204 above is expressed as:
C z ＝C IO +C loss -(F PE +F PF )；
wherein ,Cz Representing the comprehensive operation cost of the new energy station. C (C) IO Representing the investment operating costs of the energy storage device and being related to the rated operating parameters of the energy storage device. C (C) loss Representing the new energy discarding cost of the new energy station and being related to the new energy discarding power of the new energy station in each sampling period. F (F) PE The rotational reserve capacity calculation cost, which is reduced by the energy storage device to compensate for the output power prediction error of the new energy station, is represented and is related to the predicted output power and the actual output power of the new energy station in each sampling period. F (F) PF The cost of the rotary reserve capacity calculation, which represents the reduction of the energy storage device to stabilize the actual output power fluctuation of the new energy station, is related to the actual output power of the new energy station in each sampling period.
Referring to the information flow chart shown in fig. 3, each cost in the constructed objective function is expressed as:
(1) Investment operation cost C of energy storage device IO 。
C IO ＝(p perQ Q ES.n /η eff +p perP P ES.n +p perA Q ES.n )R+p perO P ES.n ；
wherein ,pperQ 、p perP 、p perA 、p perO 、η eff And R are basic technical parameters of the energy storage device, can be obtained by directly reading a technical manual or calculating and the like, and are all known quantities. P is p perQ Representing the unit energy price of the energy storage device. P is p perP Representing the price per unit of power of the energy storage device. P is p perA Representing the auxiliary equipment unit energy cost of the energy storage device. P is p perO Representing the unit operating cost of the energy storage device. η (eta) eff Representing the energy conversion efficiency of the energy storage device. R represents an equal-annual conversion coefficient of the energy storage device
r represents annual rate and Y represents life cycle of the energy storage device.
Thus, the investment operation cost C of the energy storage device IO Only the unknown quantity in (a) is the rated capacity Q of the energy storage device as a variable ES.n And rated power P ES.n 。
(2) Abandon New energy cost C of New energy station loss 。
Where Δt represents the duration in the T-th sampling period, and T represents the total number of sampling periods included in the history period. c loss The unit power new energy cost is represented, and the unit power new energy cost is a fixed technical parameter and is a known quantity.
Therefore, the new energy costs C of the new energy stations are discarded loss Only the unknown quantity of the new energy station discards the new energy power P in the t sampling time period loss.t 。
(3) Rotary reserve capacity calculation cost F reduced by energy storage device compensating output power prediction error of new energy station PE 。
wherein ,pres The unit price of the spare capacity per hour is fixed, and the unit price is a known quantity.
ΔP err.t Representing an output power prediction error compensated by the energy storage device in a t sampling time period, wherein the output power prediction error represents a part of the actual output power of the new energy station exceeding a predicted output power deviation range, and:
wherein ,
an allowable deviation upper limit coefficient representing the predicted output power of the new energy station relative to the actual output power,/->
And the allowable deviation lower limit coefficient of the predicted output power of the new energy resource station relative to the actual output power is represented. />
and />
Are all basic technical parameters of the new energy station and are all known quantities.
Thus, the rotational reserve capacity calculation cost F of the energy storage device to compensate for the new energy station output power prediction error PE Only the actual output power P of the new energy station in the t sampling time period NE.t And predicting the output power
(4) Rotary reserve capacity calculation cost F reduced by stabilizing actual output power fluctuation of new energy station by energy storage device PF 。
wherein ,ΔPflux.t Representing actual output power fluctuation of the new energy station stabilized by the energy storage device in the t sampling time period, wherein the actual output power fluctuation represents a part of the actual output power of the new energy station exceeding the actual output power deviation range in the previous sampling time period, and:
wherein ,PNE.t-1 Representing the actual output power of the previous sampling period of the t-th sampling period. Q (Q) NE Is rated capacity of new energy station beta flux.max The maximum fluctuation amount of the output power of the new energy station is the proportion of the rated capacity. Q (Q) NE and βflux.max Are all basic technical parameters of the new energy station and are all known quantities.
Thus, the energy storage device stabilizes the rotational reserve capacity calculation cost F reduced by the actual output power fluctuation of the new energy station PF Only the actual output power P of the new energy station in the t sampling time period NE.t The actual output power P of the previous sampling period NE.t-1 。
In one embodiment, the operation constraints constructed in step 204 are respectively:
1. operating constraints of the energy storage device.
The operating constraints of the energy storage device include: rated capacity Q of energy storage device ES.n Rated capacity Q at new energy station NE Is within a predetermined ratio range of (2); and, the charging power P of the energy storage device in any t sampling time period ES.ch.t And discharge power P ES.dis.t Are all within the rated power range; and the energy storage capacity Q of the energy storage device in any t sampling time period ES.t In the energy storage capacity range of the energy storage deviceA surrounding inner part; and the energy storage capacity of the energy storage device in the first sampling time period and the last sampling time period of each day is equal and is the energy storage capacity SOC of the first sampling time period init Q ES.n ，SOC init Is the initial value of SOC of the energy storage device. The following are introduced respectively:
(1) Rated capacity Q of energy storage device ES.n Rated capacity Q at new energy station NE Within a predetermined ratio range of (i) that is:
α min Q NE ≤Q ES.n ≤α max Q NE ；
wherein ,αmin Is the lower limit of the ratio of the rated capacity of the energy storage device to the rated capacity of the new energy station, alpha max Is the upper limit of the ratio of the rated capacity of the energy storage device to the rated capacity of the new energy station. Alpha min and αmax Are all preset values, such as alpha can be set min =0, set α max ＝0.2。
(2) Charging power P of energy storage device in any t sampling time period ES.ch.t And discharge power P ES.dis.t All within the rated power range, namely, meets the following conditions:
0≤P ES.ch.t ≤δ ch.t P ES.n ；
0≤P ES.dis.t ≤δ dis.t P ES.n ；
wherein ,δch.t Refers to the state of charge of the energy storage device in the t sampling period, when delta ch.t When=1, the energy storage device is in a charged state, otherwise, is not in a charged state. Delta dis.t Refers to the discharge state of the energy storage device in the t sampling time period, when delta dis.t When=1, the energy storage device is in a discharge state, otherwise, the energy storage device is not in a discharge state.
(3) Energy storage capacity Q of energy storage device in any t sampling time period ES.t Within the energy storage capacity range of the energy storage device, namely, the following conditions are satisfied:
SOC min Q ES.n ≤Q ES.t ≤SOC max Q ES.n ；
wherein ,
SOC max is the maximum value of SOC (State of Charge) of the energy storage device, SOC min Is the SOC minimum value of the energy storage device. Q (Q) ES.t-1 Is the energy storage capacity of the energy storage device during the previous sampling period of the t-th sampling period. η (eta) ch Indicating the charging efficiency, eta of the energy storage device dis Indicating the discharge efficiency of the energy storage device. SOC (State of Charge) init Is the initial value of SOC of the energy storage device during the first sampling period. SOC (State of Charge) max 、SOC min 、η ch 、η dis and SOCinit Are all preset values, and Q ES.t-1 May be considered as a known quantity.
(4) The energy storage capacity of the energy storage device in the first sampling time period and the last sampling time period of each day is equal and is the energy storage capacity of the first sampling time period, namely, the energy storage device meets the following conditions:
wherein ,
energy storage capacity of the first sampling period of the d-th day of the history time period, +.>
Is the energy storage capacity of the last sampling period of day d of the historical time period. The energy storage capacity of each sampling period is the energy storage capacity Q in any t sampling period according to the above (3) ES.t Is determined by the calculation mode of (a).
2. And discarding new energy rate constraint conditions of the new energy station.
New energy discarding rate k of new energy station in history time period loss The method meets the following conditions:
k loss ＜k loss.max ；
wherein ,
k loss.max and representing the upper limit of the abandoned new energy rate of the new energy station, and T represents the total number of sampling time periods contained in the historical time period.
3. And the grid-connected fluctuation ratio of the new energy station and the energy storage device is combined with constraint conditions.
Combined output power P of new energy station and energy storage device in any t sampling time period sum.t ＝P NE.t -P ES.cht +P ES.dist All satisfy:
P yc.t.min ≤P sum.t ≤P yc.t.max ；
P bd.t.min ≤P sum.t ≤P bd.t.max ；
wherein ,PES.cht Representing the charging power of the energy storage device in the t sampling time period, P ES.dist Representing the discharge power of the energy storage device during the t sampling period.
In one embodiment, the method of minimizing the objective function under the operation constraint in step 204 is: at rated capacity Q of energy storage device ES.n Rated capacity Q with new energy station NE Upper and lower limit of the ratio alpha min and αmax Traversing from small to large in a predetermined step unit in a range, and calculating the rated capacity Q of the corresponding energy storage device according to each traversed proportion value ES.n And rated power P ES.n . For example, if the traversal is performed in 0.01 units, then the first traversal Q ES.n ＝0.01Q NE Second pass Q ES.n ＝0.02Q NE … …. At each value traversed, it is detected whether the other operating constraints described above are satisfied. If the operation constraint conditions are met, the new energy station is started to reference operation data in each sampling time period of the historical time period and rated capacity Q under the time traversal ES.n And rated power P ES.n Substituting into the objective function to calculate the function value. After the traversal is completed, the minimum function value obtained in each traversal is determined to correspond toRated capacity Q of (2) ES.n And rated power P ES.n As rated operating parameters of the energy storage device.
For example, in one example, the values of the basic technical parameters as known amounts are as follows:
the parameters involved in the constructed objective function include: p is p perQ 1240-membered/kWh, p perP =1085 yuan/kW, p perA =310 yuan/kWh, p perO 31 yuan/kW, eta eff =0.85. r=0.1 and y=20 years, then r≡0.1175 is calculated. c loss =61000 yuan/MWh. P is p res =20 yuan/MWh.
β flux.max ＝0.10，Q NE ＝200MW。
The parameters involved in the operating constraints include: alpha min ＝0，α max ＝0.2，SOC max ＝0.9，SOC min ＝0.1，η ch ＝η dis ＝0.98，k loss.max ＝0.05。
In this example, the objective function and the operation constraint conditions constructed by the above embodiments of the present application are used, and finally calculated: when the rated capacity Q of the energy storage device ES.n Rated capacity Q with new energy station NE When the ratio between the energy storage configuration planning results is 0.09, the operation constraint condition is met, and the objective function obtains the minimum value, so that the energy storage configuration planning result of the energy storage device can be determined as follows: rated capacity Q of energy storage device ES.n =0.09×200mw=180 MW, rated capacity P ES.n =90 MW/h. The comprehensive operation cost C of the obtained new energy station z 9627400 yuan, investment cost C of energy storage device IO 4998697 yuan, new energy costs C of new energy station loss = 4628703 yuan. And when the ratio of the rated capacity of the energy storage device to the rated capacity of the new energy station is in the range of 0-0.2, the graph of the comprehensive operation cost under different ratios is shown in fig. 4.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a new energy station energy storage configuration planning device for realizing the new energy station energy storage configuration planning method. The implementation scheme of the device for solving the problem is similar to the implementation scheme recorded in the method, so the specific limitation of the embodiment of the device for planning the energy storage configuration of one or more new energy stations provided below can be referred to the limitation of the method for planning the energy storage configuration of the new energy stations hereinabove, and the description is omitted here.
In one embodiment, as shown in fig. 5, there is provided a new energy station energy storage configuration planning apparatus, including: a reference operational data determination module and a solution module, wherein:
a reference operation data determining module 510, configured to determine reference operation data of the new energy station in each sampling period based on the historical output data of the new energy station in the historical period, where the reference operation data in the t-th sampling period includes predicted output power of the new energy station in the t-th sampling period
Actual output power P NE.t And discarding new energy power P loss.t 。
And the solving module 520 is configured to substitute the reference operation data of the new energy station in each sampling period of the historical time period into the constructed objective function, and minimize the objective function under the constructed operation constraint condition to obtain the rated working parameter of the energy storage device, and use the rated working parameter as the energy storage configuration planning result of the energy storage device. The objective function reflects the change relation of the comprehensive operation cost of the new energy station along with the rated working parameters of the energy storage device. The operation constraint conditions comprise an operation constraint condition of the energy storage device, a new energy rejection rate constraint condition of the new energy station and a grid-connected fluctuation rate joint constraint condition of the new energy station and the energy storage device.
All or part of each module in the new energy station energy storage configuration planning device can be realized by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 6. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing pre-constructed operation constraint conditions and objective functions and historical output data of the new energy station. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program when executed by the processor is used for realizing a new energy station energy storage configuration planning method.
It will be appreciated by those skilled in the art that the structure shown in fig. 6 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor, when executing the computer program, performing the method steps of:
determining reference operation data of the new energy station in each sampling time period based on historical output data of the new energy station in a historical time period, wherein the reference operation data in a t sampling time period comprises predicted output power of the new energy station in the t sampling time period
Actual output power P NE.t And discarding new energy power P loss.t 。
Substituting the reference operation data of the new energy station in each sampling time period of the historical time period into the constructed objective function, and minimizing the objective function under the constructed operation constraint condition to obtain the rated working parameters of the energy storage device as the energy storage configuration planning result of the energy storage device. The objective function reflects the change relation of the comprehensive operation cost of the new energy station along with the rated working parameters of the energy storage device. The operation constraint conditions comprise an operation constraint condition of the energy storage device, a new energy rejection rate constraint condition of the new energy station and a grid-connected fluctuation rate joint constraint condition of the new energy station and the energy storage device.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the following method steps:
determining reference operation data of the new energy station in each sampling time period based on historical output data of the new energy station in a historical time period, wherein the reference operation data in a t sampling time period comprises predicted output power of the new energy station in the t sampling time period
Actual output power P NE.t And discarding new energy power P loss.t 。
Substituting the reference operation data of the new energy station in each sampling time period of the historical time period into the constructed objective function, and minimizing the objective function under the constructed operation constraint condition to obtain the rated working parameters of the energy storage device as the energy storage configuration planning result of the energy storage device. The objective function reflects the change relation of the comprehensive operation cost of the new energy station along with the rated working parameters of the energy storage device. The operation constraint conditions comprise an operation constraint condition of the energy storage device, a new energy rejection rate constraint condition of the new energy station and a grid-connected fluctuation rate joint constraint condition of the new energy station and the energy storage device.
In one embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the method steps of:
Determining reference operation data of the new energy station in each sampling time period based on historical output data of the new energy station in a historical time period, wherein the reference operation data in a t sampling time period comprises predicted output power of the new energy station in the t sampling time period
Actual output power P NE.t And discarding new energy power P loss.t 。
Substituting the reference operation data of the new energy station in each sampling time period of the historical time period into the constructed objective function, and minimizing the objective function under the constructed operation constraint condition to obtain the rated working parameters of the energy storage device as the energy storage configuration planning result of the energy storage device. The objective function reflects the change relation of the comprehensive operation cost of the new energy station along with the rated working parameters of the energy storage device. The operation constraint conditions comprise an operation constraint condition of the energy storage device, a new energy rejection rate constraint condition of the new energy station and a grid-connected fluctuation rate joint constraint condition of the new energy station and the energy storage device.
It should be noted that, user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.
Claims (6)
1. The new energy station energy storage configuration planning method is characterized in that the new energy station comprises a new energy station and an energy storage device, and the method comprises the following steps:
determining reference operation data of the new energy station in each sampling time period based on the historical output data of the new energy station in the historical time period, wherein the reference operation data in the t sampling time period comprises predicted output power of the new energy station in the t sampling time period 
Actual output power P NE.t And discarding new energy power P loss.t ；
Substituting the reference operation data of the new energy station in each sampling time period of the historical time period into a constructed objective function, and minimizing the objective function under the constructed operation constraint condition to obtain the rated working parameter of the energy storage device, wherein the rated working parameter is used as an energy storage configuration planning result of the energy storage device;
wherein the objective function reflects the change relation of the comprehensive operation cost of the new energy station along with the rated working parameter of the energy storage device, and the constructed objective function is C z ＝C IO +C loss -(F PE +F PF ) In the objective function:
C z representing the comprehensive operation cost of the new energy station; c (C) IO Representing the investment operating cost of the energy storage device and C IO ＝(p perQ Q ES.n /η eff +p perP P ES.n +p perA Q ES.n )R+p perO P ES.n The rated operating parameters of the energy storage device include the rated capacity Q of the energy storage device ES.n And rated power P ES.n The basic technical parameters of the energy storage device comprise a unit energy price p perQ Price per unit power p perP Auxiliary facility unit energy cost p perA Cost per unit operation p perO Energy conversion efficiency eta eff And an equal-year value conversion coefficient R,
r represents annual rate and Y represents life cycle of the energy storage device;
C loss represents the abandoned new energy cost of the new energy station and 
Δt represents the duration in the T-th sampling period, T represents the total number of sampling periods contained in the history period, c loss Representing the unit power new energy cost;
F PE representing a rotational reserve capacity calculation cost of the energy storage device to compensate for the output prediction error of the new energy station, and
p res means per hour rotary spare capacity unit price, deltaP err . t Representing an output prediction error of the output compensated by the energy storage device in a t sampling period, wherein the output prediction error represents a part of the actual output of the new energy station exceeding a predicted output deviation range and comprises
An allowable deviation upper limit coefficient representing the predicted output power of the new energy station relative to the actual output power,/>
A lower limit coefficient of the allowable deviation of the predicted output power of the new energy station relative to the actual output power is represented;
F PF representing rotational reserve capacity calculation costs reduced by the energy storage device stabilizing actual output power fluctuations of the new energy station, an
ΔP flux.t Representing actual output power fluctuation of the new energy source station stabilized by the energy storage device in a t sampling time period, wherein the actual output power fluctuation represents a part of the actual output power of the new energy source station exceeding the actual output power deviation range in a previous sampling time period and comprises 
P NE.t-1 Representing the actual output of the previous sampling period of the t-th sampling period, Q NE Is the rated capacity of the new energy station, beta flux.max The maximum fluctuation amount of the output power of the new energy station is the proportion of the maximum fluctuation amount of the output power of the new energy station to the rated capacity;
the operation constraint conditions comprise an operation constraint condition of the energy storage device, a new energy rejection rate constraint condition of the new energy station and a grid-connected fluctuation rate joint constraint condition of the new energy station and the energy storage device; wherein:
the constraint condition of the new energy discarding rate of the new energy station comprises the new energy discarding rate k of the new energy station in the history time period loss Satisfy k loss ＜k loss.max ，
k loss.max Representing an upper limit of the new energy discarding rate of the new energy station;
the grid-connected fluctuation ratio joint constraint condition of the new energy station and the energy storage device comprises joint output power P of the new energy station and the energy storage device in any t sampling time period sum.t ＝P NE.t -P ES.ch.t +P ES.dis.t All satisfy P yc.t.min ≤P sum.t ≤P yc.t.max P bd.t.min ≤P sum.t ≤P bd.t.max ；P ES.ch.t Representing the charging power of the energy storage device in the t sampling time period, P ES.dis.t Representing a discharge power of the energy storage device during the t-th sampling period;
P NE.1 is the actual output power of the new energy station in the first sampling period, beta flux.max The maximum fluctuation amount of the output power of the new energy station is the proportion of the rated capacity.
2. The method of claim 1, wherein the operating constraints of the energy storage device include:
rated capacity Q of the energy storage device ES.n Rated capacity Q at the new energy station NE Is within a predetermined ratio range of (2);
and, the charging power P of the energy storage device in any t sampling time period ES.ch.t And discharge power P ES.dis.t Are all within the rated power range;
and the energy storage capacity Q of the energy storage device in any t sampling time period ES.t Within a rated capacity range of the energy storage device;
and the energy storage capacity of the energy storage device is equal in the first sampling time period and the last sampling time period of each dayAnd is the energy storage capacity SOC of the first sampling period init Q ES.n ，SOC init Is the initial value of the SOC of the energy storage device.
3. The method of claim 2, wherein the energy storage device has an energy storage capacity Q during any of the tth sampling periods ES.t Within the rated capacity range of the energy storage device, the method comprises the following steps:
SOC min Q ES.n ≤Q ES.t ≤SOC max Q ES.n ；
wherein ,
SOC max is the maximum value of the SOC of the energy storage device, SOC min Is the minimum value of SOC of the energy storage device, Q ES.t-1 Is the energy storage capacity, eta of the energy storage device in the previous sampling period ch Representing the charging efficiency, eta of the energy storage device dis Indicating the discharge efficiency of the energy storage device, Δt indicating the duration in the t-th sampling period.
4. A new energy station energy storage configuration planning device, the device comprising:
the reference operation data determining module is used for determining reference operation data of the new energy station in each sampling time period based on the historical output data of the new energy station in the historical time period, wherein the reference operation data in the t sampling time period comprises predicted output power P of the new energy station in the t sampling time period N 0 E.t Actual output power P NE.t And discarding new energy power P loss.t ；
The solving module is used for substituting the reference operation data of the new energy station in each sampling time period of the historical time period into the constructed objective function, minimizing the objective function under the constructed operation constraint condition, and obtaining the rated working parameters of the energy storage device as the energy storage configuration planning result of the energy storage device;
wherein the objective function reflects the change relation of the comprehensive operation cost of the new energy station along with the rated working parameter of the energy storage device, and the constructed objective function is C z ＝C IO +C loss -(F PE +F PF ) In the objective function:
C z representing the comprehensive operation cost of the new energy station; c (C) IO Representing the investment operating cost of the energy storage device and C IO ＝(p perQ Q ES.n /η eff +p perP P ES.n +p perA Q ES.n )R+p perO P ES.n The rated operating parameters of the energy storage device include the rated capacity Q of the energy storage device ES.n And rated power P ES.n The basic technical parameters of the energy storage device comprise a unit energy price p perQ Price per unit power p perP Auxiliary facility unit energy cost p perA Cost per unit operation p perO Energy conversion efficiency eta eff And an equal-year value conversion coefficient R,
r represents annual rate and Y represents life cycle of the energy storage device;
C loss represents the abandoned new energy cost of the new energy station and
Δt represents the duration in the T-th sampling period, T represents the total number of sampling periods contained in the history period, c loss Representing the unit power new energy cost;
F PE representing a rotational reserve capacity calculation cost of the energy storage device to compensate for the output prediction error of the new energy station, and
p res means per hour rotary spare capacity unit price, deltaP err.t Representation ofAn output power prediction error compensated by the energy storage device in a t sampling time period, wherein the output power prediction error represents a part of the actual output power of the new energy station exceeding a predicted output power deviation range, and the output power prediction error comprises
An allowable deviation upper limit coefficient representing the predicted output power of the new energy station relative to the actual output power,/ >
A lower limit coefficient of the allowable deviation of the predicted output power of the new energy station relative to the actual output power is represented;
F PF representing rotational reserve capacity calculation costs reduced by the energy storage device stabilizing actual output power fluctuations of the new energy station, an
ΔP flux.t Representing actual output power fluctuation of the new energy source station stabilized by the energy storage device in a t sampling time period, wherein the actual output power fluctuation represents a part of the actual output power of the new energy source station exceeding the actual output power deviation range in a previous sampling time period and comprises
P NE.t-1 Representing the actual output of the previous sampling period of the t-th sampling period, Q NE Is the rated capacity of the new energy station, beta flux.max The maximum fluctuation amount of the output power of the new energy station is the proportion of the maximum fluctuation amount of the output power of the new energy station to the rated capacity;
the operation constraint conditions comprise an operation constraint condition of the energy storage device, a new energy rejection rate constraint condition of the new energy station and a grid-connected fluctuation rate joint constraint condition of the new energy station and the energy storage device; wherein:
the constraint condition of the new energy discarding rate of the new energy station comprises the new energy discarding rate k of the new energy station in the history time period loss Satisfy k loss ＜k loss.max ，
k loss.max Representing an upper limit of the new energy discarding rate of the new energy station;
the grid-connected fluctuation ratio joint constraint condition of the new energy station and the energy storage device comprises joint output power P of the new energy station and the energy storage device in any t sampling time period sum.t ＝P NE.t -P ES.ch.t +P ES.dis.t All satisfy P yc.t.min ≤P sum.t ≤P yc.t.max P bd.t.min ≤P sum.t ≤P bd.t.max ；P ES.ch.t Representing the charging power of the energy storage device in the t sampling time period, P ES.dis.t Representing a discharge power of the energy storage device during the t-th sampling period;
P NE.1 is the actual output power of the new energy station in the first sampling period, beta flux.max The maximum fluctuation amount of the output power of the new energy station is the proportion of the rated capacity.
5. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 3 when the computer program is executed.
6. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 3.
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