Energy management method and system for peak shaving and frequency regulation for energy storage power station, and apparatus, electronic device, storage medium and product

Abstract

An energy management method and system for peak shaving and frequency regulation for an energy storage power station, and an apparatus, an electronic device, a storage medium and a product, which belong to the technical field of energy storage. The method comprises: acquiring a peak shaving instruction and a frequency regulation instruction of a power grid within each time period; dividing the SOC of each battery energy storage unit within each time period into a peak shaving area and a frequency regulation area, calculating the maximum power generable in the peak shaving area on the basis of the peak shaving instruction, determining the number of battery energy storage units participating in peak shaving, determining the maximum power generable in the frequency regulation area on the basis of the remaining battery energy storage units and the frequency regulation instruction, and determining the number of battery energy storage units participating in frequency regulation; and determining a peak shaving area objective function on the basis of the number of battery energy storage units participating in peak shaving, determining a frequency regulation area objective function on the basis of the number of battery energy storage units participating in frequency regulation, and on the basis of the peak shaving area objective function and the frequency regulation area objective function, respectively calculating power instructions of the battery energy storage units participating in peak shaving and power instructions of the battery energy storage units participating in frequency regulation. In this way, the frequency regulation capability of an energy storage power station is enhanced, and the utilization efficiency of the battery energy storage power station is improved.

Description

Energy management method, system, device, electronic equipment, storage medium and product for energy storage power station for peak load regulation and frequency regulation

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This disclosure claims priority to a Chinese patent application filed with the Patent Office of China on December 27, 2023, with application number 202311833486.2 and application name “A method and system for energy management of energy storage power stations for peak and frequency regulation,” the entire contents of which are incorporated by reference into this disclosure. Technical Field

[0003] The present disclosure relates to the field of energy storage technology, and in particular to an energy management method, system, device, electronic equipment, storage medium and product for energy storage power stations for peak and frequency regulation. Background Art

[0004] In recent years, with the rapid development of new energy sources, battery energy storage systems (BESS) have become increasingly widely used in power systems. However, solely focusing on peak load regulation or frequency regulation results in low utilization rates for energy storage power stations. Furthermore, battery energy storage systems consist of numerous battery cells connected in series and parallel. During use, variations in cell temperature and manufacturing processes lead to inconsistent capacity decay, resulting in persistent inconsistencies in cell capacity within the energy storage system.

[0005] As the proportion of renewable energy power stations in the power system gradually increases, the energy storage capacity in the grid is gradually increasing, and the role of energy storage stations in grid operation and dispatch control will become increasingly significant. Energy storage stations offer advantages in active power regulation, such as fast regulation speed, minimal equipment damage, and no need for wind, hydro, or solar power curtailment. However, when energy storage stations are operating during frequency regulation, the power conversion system (PCS) capacity used for peak regulation becomes unavailable for frequency regulation and remains idle. Conversely, if energy storage stations participate in peak regulation, the PCS capacity used for frequency regulation becomes idle. However, energy storage is a high-quality frequency regulation resource in the power grid and should be fully utilized.

[0006] Due to differences in parameters such as the internal resistance, polarization voltage, and capacity of each energy storage unit battery pack, the state of charge (SOC) of each battery pack is inconsistent after a period of operation, which in turn affects the overall regulation capability of the energy storage power station. When the SOC of each battery pack differs, the power station must activate the SOC maintenance function of the energy storage power station every certain period of operation, so that the energy storage power station is disconnected from the grid dispatch and adopts a periodic full charging method to solve the problem of SOC difference and consistency control. This practice not only affects the normal use of the energy storage power station, but also within a cycle, the inconsistency of SOC will still lead to slow response speed of the energy storage power station and insufficient overall output.

[0007] The patent application with publication number CN114069662A discloses a method and system for active scheduling control of energy storage power stations that takes into account both peak shaving and frequency regulation functions, including determining the time interval, peak shaving power, and peak shaving energy of each energy storage power station for up / down peak shaving. Based on the current operating period of each energy storage power station, the capacity of the converter that can be used for frequency regulation is determined; according to the capacity of the converter that can be used for frequency regulation, the automatic power control instruction of the energy storage power station at the current moment is determined according to the preset automatic power control strategy and sent to the energy storage power station for execution. This method does not take into account the SOC of the battery energy storage unit and cannot guarantee that all battery energy storage units are in peak shaving. In addition, existing studies mostly regard the energy storage system as a single individual participating in frequency regulation, and there is less research on the coordinated control of each energy storage unit in the energy storage power station. During the frequency regulation process, the differences between the energy storage units (such as SOC differences, etc.) will reduce the frequency regulation efficiency, which is not conducive to the safe and stable operation of the system.

[0008] Patent application publication number CN110350557A discloses a composite energy storage method and system for grid peak and frequency regulation. The system comprises a grid, a grid dispatching device, a flywheel energy storage device, and a compressed air energy storage device. The grid dispatching device is electrically connected to the grid, the flywheel energy storage device, and the compressed air energy storage device. The flywheel energy storage device and the compressed air energy storage device are electrically connected to the grid. The grid dispatching device is used for grid peak and frequency regulation. The compressed air energy storage for peak regulation and the flywheel energy storage for frequency regulation employed in this system are relatively fixed in mode and do not consider the SOC of the stored energy, which is detrimental to the long-term operation of the energy storage system.

[0009] Application Contents

[0010] To solve the problems existing in the prior art, the present disclosure proposes an energy management method, system, device, electronic equipment, storage medium and product for energy storage power stations for peak and frequency regulation, so as to enhance the frequency regulation capability of energy storage power stations and improve the utilization efficiency of battery energy storage power stations.

[0011] The purpose of the present disclosure is achieved at least through the following technical solutions:

[0012] In a first aspect, the present disclosure provides an energy management method for an energy storage power station for peak and frequency regulation, comprising:

[0013] Obtain peak load regulation instructions and frequency regulation instructions for each period of the power grid;

[0014] Dynamically divide the SOC of each battery energy storage unit in each time period into a peak-shaving zone and a frequency-regulating zone. Calculate the maximum power that can be generated in the peak-shaving zone based on the peak-shaving instructions to determine the number of battery energy storage units participating in peak-shaving. Then, determine the maximum power that can be generated in the frequency-regulating zone based on the remaining battery energy storage units and the frequency-regulating instructions, and determine the number of battery energy storage units participating in frequency regulation.

[0015] The peak-shaving area objective function is determined according to the number of battery energy storage units participating in peak shaving, and the frequency regulation area objective function is determined according to the number of battery energy storage units participating in frequency regulation. The power instructions of the battery energy storage units participating in peak shaving and the power instructions of the battery energy storage units participating in frequency regulation are calculated respectively based on the peak-shaving area objective function and the frequency regulation area objective function.

[0016] As a further improvement of the present disclosure, the peak shaving area is divided into a peak shaving area and a valley filling area.

[0017] As a further improvement of the present disclosure, the peak clipping area is:

[0018] The valley-filling area is:

[0019] Among them, SOC ip (t) is the SOC of the battery energy storage unit i that can participate in peak load regulation at the beginning of period t, P N is the rated power of a battery energy storage unit, S is the rated capacity of the battery energy storage unit, ΔT is the length of a time period, P max ip (t) is the maximum power of the battery energy storage unit i that can participate in peak regulation, SOC low is the lower limit of the peak shaving area, SOC high It is the upper limit of the valley filling area.

[0020] As a further improvement of the present disclosure, the maximum power that can be generated in the peak shaving area is: P max p (t) = ∑P max ip (t)

[0021] If |P p (t)|>|P max p (t)|,P BESSp (t) = P max p (t);

[0022] If |P p (t)|≤|P max p (t)|,P BESSp (t) = P p (t);

[0023] Among them, P BESSp (t) is the peak load regulation power of the energy storage power station during period t, P max ip (t) is the maximum power of the battery energy storage unit i participating in peak load regulation, P max p (t) is the maximum power that can be generated in the peak-shaving area, P p (t) is the peak shaving instruction.

[0024] As a further improvement of the present disclosure, determining the number of battery energy storage units participating in peak load regulation includes:

[0025] When the BESS is in peak shaving mode, the battery energy storage units with SOC in the peak shaving zone are calculated from high to low SOC ∑ i P max ip (t); When the BESS is in valley filling, the battery energy storage units in the valley filling area are calculated from low to high SOC∑ i P max ip (t) until The number of units involved in peak regulation is N p (t);

[0026] When the BESS is performing peak shaving, the battery energy storage unit that needs peak shaving is selected in the peak shaving area according to the SOC from high to low. When the BESS is performing valley filling, the battery energy storage unit that needs peak shaving is selected in the valley filling area according to the SOC from low to high.

[0027] Among them, P max ip (t) is the maximum power of the battery energy storage unit i that can participate in peak regulation, P BESSp (t) is the peak load regulation power of the energy storage power station during period t, N p (t) is the number of battery energy storage units that can participate in peak load regulation.

[0028] As a further improvement of the present disclosure, the peak shaving area objective function is:

[0029] in, is the average SOC of the battery energy storage units participating in peak regulation, N p (t) is the number of battery energy storage units that can participate in peak load regulation, SOC ip (t) is the SOC of the battery energy storage unit i that can participate in peak load regulation at the beginning of period t;

[0030] The constraints of the peak shaving area objective function include:

[0031] 1) Battery cell SOC constraint SOC min ≤SOC ip (t)≤SOC max

[0032] Among them, SOC min , SOC max They are the minimum and maximum limits of SOC in the frequency modulation area of ​​the battery energy storage unit;

[0033] 2) Charge and discharge power constraint -|P max ip (t)|≤P ip (t)≤|P max ip (t)|

[0034] Among them, P ip (t) is the charge / discharge power of the i-th battery energy storage unit in the peak-shaving unit during period t, P max ip (t) is the maximum power of the battery energy storage unit i that can participate in peak load regulation;

[0035] 3) SOC change constraints

[0036] Among them, SOC ip (t+1) is the SOC of the battery energy storage unit i that can participate in peak load regulation at the beginning of the t+1 period, ΔT is a time period, S is the capacity of the battery energy storage unit, and the energy storage dispatch command power is greater than 0 in discharge mode and less than 0 in charge mode;

[0037] 4) Charge and discharge power conservation constraints

[0038] Among them, P BESSp (t) is the peak-shaving power of the energy storage power station during period t.

[0039] As a further improvement of the present disclosure, when determining the maximum power that can be generated in the frequency regulation area based on the remaining battery energy storage units, the battery energy storage units that have participated in the peak regulation are first excluded; the frequency regulation unit selects SOC min -SOC max The battery energy storage unit between them can be used as a battery energy storage unit that can participate in frequency regulation; among them, SOC min , SOC max They are the minimum and maximum limits of SOC in the frequency modulation area of ​​the battery energy storage unit.

[0040] As a further improvement of the present disclosure, when determining the maximum transmittable power in the frequency modulation zone:

[0041] P f (t)<0, the battery energy storage unit participating in frequency regulation is charged,

[0042] P f (t)>0, the battery energy storage unit participating in frequency modulation discharges,

[0043] Among them, P f(t) is the frequency modulation instruction, SOC if (t) is the SOC of the battery energy storage unit i that can participate in frequency regulation at the beginning of period t, P N is the rated power of a battery energy storage unit, S is the rated capacity of the battery energy storage unit, ΔT is the length of a time period, P max if (t) is the maximum power of the battery energy storage unit i that can participate in frequency regulation, SOC min , SOC max They are the minimum and maximum limits of SOC in the frequency modulation area of ​​the battery energy storage unit.

[0044] As a further improvement of the present disclosure, when determining the maximum power that can be generated in the frequency modulation area, all battery energy storage units in the frequency modulation area and not participating in peak regulation are activated, and the number of battery energy storage units participating in frequency modulation is N. f (t) = N(t) - N p (t), where N(t) is the number of all battery energy storage units, N p (t) is the number of battery energy storage units in the peak-shaving area. The maximum power that can be generated in the frequency-shaving area is: P max f (t) = ∑P max if (t)

[0045] If |P f (t)|≥|P max f (t)|,P BESSf (t) = P max f (t), and the power of the frequency modulation units is their maximum power P max if (t);

[0046] If |P f (t)|<|P max f (t)|,P BESSf (t) = P f (t);

[0047] Among them, P max if =∑min(P N ,(SOC max -SOC if (t))×S / ΔT,(SOC if (t)-SOC min )×S / ΔT);

[0048] Among them, P f (t) is the frequency modulation instruction, P max if (t) is the maximum power of the battery energy storage unit i that can participate in frequency regulation, P max f (t) is the maximum power that can be generated in the frequency modulation area, P BESSf (t) is the frequency regulation power of the energy storage power station during period t, P Nis the rated power of a battery energy storage unit, S is the rated capacity of the battery energy storage unit, ΔT is the length of a time period, SOC if (t) is the SOC of the battery energy storage unit i that can participate in frequency regulation at the beginning of period t, SOC min , SOC max They are the minimum and maximum limits of SOC in the frequency modulation area of ​​the battery energy storage unit.

[0049] As a further improvement of the present disclosure, when |P f (t)|<|P max f (t)|, it is necessary to determine the frequency modulation power of each battery energy storage unit. The objective function of the frequency modulation area is:

[0050] Among them, P f (t) is the frequency modulation instruction, P max f (t) is the maximum power that can be generated in the FM area, is the average SOC of the battery energy storage units participating in frequency regulation, N f (t) is the number of battery energy storage units that can participate in frequency regulation, SOC if (t) is the SOC of the battery energy storage unit i that can participate in frequency regulation at the beginning of period t, is the average SOC of the battery energy storage units participating in peak load regulation;

[0051] The constraints of the FM zone objective function include:

[0052] 1) Battery cell SOC constraint SOC min ≤SOC if (t)≤SOC max

[0053] Among them, SOC min , SOC max They are the minimum and maximum limits of SOC in the frequency modulation area of ​​the battery energy storage unit;

[0054] 2) Charge and discharge power constraint -|P max if (t)|≤P if (t)≤|P max if (t)|

[0055] Among them, P if (t) is the charge / discharge power of the i-th battery energy storage unit in the frequency regulation unit during period t, P max if (t) is the maximum power of the battery energy storage unit i that can participate in peak load regulation;

[0056] 3) SOC change constraints

[0057] Among them, SOC if(t+1) is the SOC of the battery energy storage unit i that can participate in frequency modulation at the beginning of the t+1 period, ΔT is a time period, S is the capacity of the battery energy storage unit, and the energy storage scheduling command power is greater than 0 in discharge mode and less than 0 in charging mode;

[0058] 4) Charge and discharge power conservation constraints

[0059] Among them, P BESSf (t) is the frequency regulation power of the energy storage power station during period t.

[0060] In a second aspect, the present disclosure provides an energy storage power station energy management system for peak and frequency regulation, comprising:

[0061] An acquisition module is used to obtain peak load regulation instructions and frequency regulation instructions of the power grid in each period;

[0062] The peak-shaving area frequency modulation module is used to dynamically divide the SOC of each battery energy storage unit in each time period into a peak-shaving area and a frequency modulation area. It calculates the maximum power that can be generated in the peak-shaving area based on the peak-shaving instruction and determines the number of battery energy storage units participating in the peak-shaving operation. It then determines the maximum power that can be generated in the frequency modulation area based on the remaining battery energy storage units and the frequency modulation instruction, and determines the number of battery energy storage units participating in the frequency modulation operation.

[0063] The power calculation module is used to determine the peak-shaving area target function based on the number of battery energy storage units participating in peak shaving, determine the frequency regulation area target function based on the number of battery energy storage units participating in frequency regulation, and calculate the power instructions of the battery energy storage units participating in peak shaving and the power instructions of the battery energy storage units participating in frequency regulation based on the peak-shaving area target function and the frequency regulation area target function.

[0064] In a third aspect, the present disclosure provides a power grid dispatching device for peak and frequency regulation, comprising:

[0065] Dynamic partitioning module, used to dynamically divide the peak-shaving area and frequency-shaving area according to the SOC of the battery energy storage unit;

[0066] The peak-shaving module is used to calculate the maximum power that can be generated in the peak-shaving area and determine the number of battery energy storage units involved in peak-shaving;

[0067] The frequency modulation module is used to determine the maximum power that can be generated in the frequency modulation area based on the remaining battery energy storage units and determine the number of battery energy storage units participating in the frequency modulation;

[0068] The power distribution module calculates the power instructions of each battery energy storage unit participating in peak and frequency regulation according to the objective function;

[0069] The communication module is used to connect to the power grid, collect the peak and frequency regulation power instructions of the power grid and the SOC of the battery energy storage unit, and send the power instructions of each battery energy storage unit to the energy storage power station.

[0070] In a fourth aspect, the present disclosure provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the energy management method for energy storage power stations for peak and frequency regulation when executing the computer program.

[0071] In a fifth aspect, the present disclosure provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the energy management method for energy storage power stations for peak and frequency regulation.

[0072] In a sixth aspect, the present disclosure provides a computer program product, including a computer program or instructions, which, when executed by a processor, implements the energy management method of the energy storage power station for peak and frequency regulation.

[0073] Compared with the prior art, the present invention has the following beneficial effects:

[0074] The energy management method for energy storage power stations for peak and frequency regulation proposed in this disclosure calculates the maximum power and number of battery energy storage units in the peak and frequency regulation areas through dynamic partitioning, and obtains corresponding battery energy storage unit power instructions. This method implements active power dispatch control of energy storage power stations that takes into account both peak and frequency regulation functions. By utilizing the idle capacity of the converter used for peak regulation for frequency regulation, the frequency regulation capability of the energy storage power station is effectively enhanced without affecting the peak regulation capability, thereby improving the utilization efficiency of the battery energy storage power station.

[0075] Furthermore, when a storage power station participates in peak load regulation, some battery storage units may have SOCs near upper and lower limits. Without constraints, these units could easily enter the prohibited zone. Alternatively, the peak load regulation power may be low, requiring only a small number of battery storage units to meet the demand. Both of these situations can lead to idle energy storage. The present disclosure achieves a better SOC consistency effect, thereby constraining the SOC of battery storage units within the peak load regulation zone and improving the dispatchability of the entire station.

[0076] It should be understood that the above general description and the following detailed description are merely exemplary and explanatory, and are not intended to limit the technical solutions of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0077] In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the following introduction is made to the drawings of the embodiments of the present disclosure or the related technical solutions in the prior art. It should be understood that the drawings introduced below are only for the convenience of clearly describing some embodiments of the technical solutions of the present disclosure. For those skilled in the art, other drawings can be obtained based on these drawings without any creative work.

[0078] FIG1 is a flow chart of an energy management method for an energy storage power station for peak and frequency regulation provided by an embodiment of the present disclosure;

[0079] FIG2 is a schematic diagram of dynamically dividing a peak-shaving area and a frequency-shaving area according to the SOC of a battery energy storage unit, provided by an embodiment of the present disclosure;

[0080] FIG3 is a schematic structural diagram of a power grid dispatching device for peak and frequency regulation provided by an embodiment of the present disclosure;

[0081] FIG4 is a schematic structural diagram of an energy storage power station energy management system for peak and frequency regulation provided by an embodiment of the present disclosure;

[0082] FIG5 is a schematic structural diagram of an electronic device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0083] The embodiments of the present disclosure are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present disclosure and are not to be construed as limiting the present disclosure. The step numbers in the following embodiments are provided only for the convenience of explanation and do not limit the order of the steps. The order of execution of the steps in the embodiments can be adaptively adjusted according to the understanding of those skilled in the art.

[0084] In the description of the present disclosure, it should be understood that descriptions involving orientations, such as up, down, front, back, left, right, etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present disclosure and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present disclosure.

[0085] In the description of this disclosure, "several" means one or more, "many" means more than two, "greater than," "less than," and "exceed" are understood to exclude the number itself, while "above," "below," and "within" are understood to include the number itself. The terms "first" and "second" are used solely to distinguish technical features and are not to be construed as indicating or implying relative importance, or as implicitly specifying the number or order of the technical features indicated.

[0086] In the description of the present disclosure, unless otherwise clearly defined, terms such as setting, installing, and connecting should be understood in a broad sense, and technicians in the relevant technical field can reasonably determine the specific meanings of the above terms in the present disclosure based on the specific content of the technical solution.

[0087] As shown in FIG1 , the first objective of the present disclosure is to provide an energy management method for an energy storage power station for peak and frequency regulation, including:

[0088] S1, obtain the peak load regulation instruction and frequency regulation instruction of the power grid in each period;

[0089] S2: Dynamically divide the SOC of each battery energy storage unit in each time period into a peak-shaving zone and a frequency-modulation zone. Calculate the maximum power that can be generated in the peak-shaving zone based on the peak-shaving instruction and determine the number of battery energy storage units participating in peak-shaving. Then, determine the maximum power that can be generated in the frequency-modulation zone based on the remaining battery energy storage units and the frequency-modulation instruction and determine the number of battery energy storage units participating in frequency modulation.

[0090] S3, determining the peak-shaving area target function according to the number of battery energy storage units participating in peak shaving, determining the frequency regulation area target function according to the number of battery energy storage units participating in frequency regulation, and calculating the power instructions of the battery energy storage units participating in peak shaving and the power instructions of the battery energy storage units participating in frequency regulation according to the peak-shaving area target function and the frequency regulation area target function, respectively.

[0091] The present disclosure dynamically divides the energy storage units involved in peak shaving and frequency regulation, allowing the energy storage power station to participate in peak shaving and frequency regulation at the same time, thereby improving the safety and stability of the power grid and increasing the utilization rate of the energy storage power station. Secondly, the present disclosure takes into account the SOC consistency and operating limit constraints of the energy storage units, so that as many energy storage units as possible can participate in peak shaving and frequency regulation, thereby improving the scheduling level of the energy storage power station.

[0092] The battery energy storage station is dynamically divided according to the battery energy storage units, reducing the idle state of the battery energy storage units. This effectively enhances the frequency regulation capability of the energy storage station without affecting the peak-shaving capability and significantly improves the utilization efficiency of the converter. At the same time, the battery energy storage unit SOC is taken into account and the unit is operated in the frequency regulation area according to the constraints to prevent overcharging and discharging, further improving the utilization rate and scheduling level of the energy storage station.

[0093] This disclosure dynamically divides the internal structure of an energy storage station into peak-shaving and frequency-regulating clusters. Based on the battery storage unit SOC and peak-shaving and frequency-regulating power commands, the composition and operating status of the energy storage station's peak-shaving and frequency-regulating units are automatically adjusted. This reduces the idle state of battery storage units, effectively enhancing the station's frequency-regulating capabilities without compromising peak-shaving capacity, significantly improving utilization efficiency. Furthermore, the SOC consistency of the battery storage units is taken into account, constraining the SOC of the battery storage units within the peak-shaving zone to prevent excessive charging and discharging that could result in entering the prohibited zone, further enhancing the overall station's dispatchability.

[0094] The complete technical solution of the present disclosure is described in detail below with reference to the accompanying drawings and embodiments:

[0095] Step 1: As shown in Figure 2, the peak-shaving area and the frequency-shaving area are dynamically divided according to the SOC of the battery energy storage unit. The peak-shaving area is divided into the peak-shaving area (discharging) and the valley-filling area (charging).

[0096] The peak shaving areas are:

[0097] The valley filling area is:

[0098] Among them, SOC ip (t) is the SOC of the battery energy storage unit i that can participate in peak load regulation at the beginning of period t, P N is the rated power of a battery energy storage unit, S is the rated capacity of the battery energy storage unit, ΔT is the length of a time period, P max ip (t) is the maximum power of the battery energy storage unit i that can participate in peak regulation, SOC low is the lower limit of the peak shaving area, SOC high It is the upper limit of the valley filling area.

[0099] Step 2: The communication module reads the peak load regulation instructions and frequency regulation instructions for each time period from the power grid;

[0100] Step 3: Divide the peak-shaving energy storage clusters based on the SOC of each battery energy storage unit in each time period, calculate the maximum power that can be generated in the peak-shaving area, and determine which battery energy storage units will participate in peak-shaving. Then, based on the remaining battery energy storage units, determine the maximum power that can be generated in the frequency regulation area and determine which battery energy storage units will participate in frequency regulation.

[0101] For peak-shaving areas:

[0102] The maximum power that can be generated in the peak-shaving area is: P max p (t) = ∑P max ip (t)

[0103] If |P p (t)|>|P max p (t)|,P BESSp (t) = P max p (t);

[0104] If |P p (t)|≤|P max p (t)|,P BESSp (t) = P p (t);

[0105] Among them, P BESSp (t) is the peak load regulation power of the energy storage power station during period t, P max ip (t) is the maximum power of the battery energy storage unit i participating in peak load regulation, P max p (t) is the maximum power that can be generated in the peak-shaving area, P p (t) is the peak-shaving instruction, the peak-shaving instruction Pp When the value in (t) is greater than the maximum power that can be generated in the peak-shaving area, the peak-shaving power of the energy storage power station is the maximum power that can be generated in the peak-shaving area; otherwise, it is the value in the grid peak-shaving instruction.

[0106] As an optional embodiment, when determining the number of battery energy storage units participating in peak load regulation,

[0107] When the BESS is in peak shaving mode, the battery energy storage units with SOC in the peak shaving zone are calculated from high to low SOC ∑ i P max ip (t); When the BESS is in valley filling, the battery energy storage units in the valley filling area are calculated from low to high SOC∑ i P max ip (t) until The number of units involved in peak regulation is N p (t);

[0108] When the BESS is performing peak shaving, the battery energy storage unit that needs peak shaving is selected in the peak shaving area according to the SOC from high to low. When the BESS is performing valley filling, the battery energy storage unit that needs peak shaving is selected in the valley filling area according to the SOC from low to high.

[0109] Among them, P max ip (t) is the maximum power of the battery energy storage unit i that can participate in peak regulation, P BESSp (t) is the peak load regulation power of the energy storage power station during period t, N p (t) is the number of battery energy storage units that can participate in peak load regulation.

[0110] In this way, the number of energy storage unit actions is calculated to reduce the number of energy storage units participating in peak load regulation and improve the utilization rate of the power station.

[0111] For FM area:

[0112] When determining the maximum power that can be generated in the frequency regulation area based on the remaining battery energy storage units, first exclude the battery energy storage units that have participated in peak regulation; the frequency regulation unit selects SOC min -SOC max The battery energy storage unit between them can be used as a battery energy storage unit that can participate in frequency regulation; among them, SOC min , SOC max They are the minimum and maximum limits of SOC in the frequency modulation area of ​​the battery energy storage unit.

[0113] When determining the maximum transmittable power in the FM zone:

[0114] P f (t)<0, the battery energy storage unit participating in frequency regulation is charged,

[0115] P f(t)>0, the battery energy storage unit participating in frequency modulation discharges,

[0116] Among them, P f (t) is the frequency modulation instruction, SOC if (t) is the SOC of the battery energy storage unit i that can participate in frequency regulation at the beginning of period t, P N is the rated power of a battery energy storage unit, S is the rated capacity of the battery energy storage unit, ΔT is the length of a time period, P max if (t) is the maximum power of the battery energy storage unit i that can participate in frequency regulation, SOC min , SOC max They are the minimum and maximum limits of SOC in the frequency modulation area of ​​the battery energy storage unit.

[0117] As an optional embodiment, when determining the maximum power that can be generated in the frequency modulation area, all battery energy storage units in the frequency modulation area that do not participate in peak regulation are activated, and the number of battery energy storage units participating in frequency modulation is N. f (t) = N(t) - N p (t), where N(t) is the number of all battery energy storage units, N p (t) is the number of battery energy storage units in the peak load area. The maximum power that can be generated in the frequency regulation area is: P max f (t)=ΣP max if (t)

[0118] If |P f (t)|≥|P max f (t)|,P BESSf (t) = P max f (t), and the power of the frequency modulation units is their maximum power P max if (t);

[0119] If |P f (t)|<|P max f (t)|,P BESSf (t) = P f (t);

[0120] Among them, P max if =∑min(P N ,(SOC max -SOC if (t))×S / ΔT,(SOC if (t)-SOC min )×S / ΔT);

[0121] Among them, P f (t) is the frequency modulation instruction, P max if (t) is the maximum power of the battery energy storage unit i that can participate in frequency regulation, Pmax f (t) is the maximum power that can be generated in the frequency modulation area, P BESSf (t) is the frequency regulation power of the energy storage power station during period t, P N is the rated power of a battery energy storage unit, S is the rated capacity of the battery energy storage unit, ΔT is the length of a time period, SOC if (t) is the SOC of the battery energy storage unit i that can participate in frequency regulation at the beginning of period t, SOC min , SOC max They are the minimum and maximum limits of SOC in the frequency modulation area of ​​the battery energy storage unit.

[0122] Step 4: Calculate the power instructions of each battery energy storage unit involved in peak and frequency regulation according to the objective function and feed them back to the energy storage power station through the communication module.

[0123] The peak shaving area objective function is:

[0124] in, is the average SOC of the battery energy storage units participating in peak regulation, N p (t) is the number of battery energy storage units that can participate in peak load regulation, SOC ip (t) is the SOC of the battery energy storage unit i that can participate in peak load regulation at the beginning of period t;

[0125] The constraints of the peak shaving area objective function include:

[0126] 1) Battery cell SOC constraint SOC min ≤SOC ip (t)≤SOC max

[0127] Among them, SOC min , SOC max They are the minimum and maximum limits of SOC in the frequency modulation area of ​​the battery energy storage unit;

[0128] 2) Charge and discharge power constraint -|P max ip (t)|≤P ip (t)≤|P max ip (t)|

[0129] Among them, P ip (t) is the charge / discharge power of the i-th battery energy storage unit in the peak-shaving unit during period t, P max ip (t) is the maximum power of the battery energy storage unit i that can participate in peak load regulation;

[0130] 3) SOC change constraints

[0131] Among them, SOC ip(t+1) is the SOC of the battery energy storage unit i that can participate in peak load regulation at the beginning of the t+1 period, ΔT is a time period, S is the capacity of the battery energy storage unit, and the energy storage dispatch command power is greater than 0 in discharge mode and less than 0 in charge mode;

[0132] 4) Charge and discharge power conservation constraints

[0133] Among them, P BESsp (t) is the peak-shaving power of the energy storage power station during period t.

[0134] As an alternative, when |P f (t)|<|P max f (t)|, it is necessary to determine the frequency modulation power of each battery energy storage unit. The objective function of the frequency modulation area is:

[0135] Among them, P f (t) is the frequency modulation instruction, P max f (t) is the maximum power that can be generated in the FM area, is the average SOC of the battery energy storage units participating in frequency regulation, N f (t) is the number of battery energy storage units that can participate in frequency regulation, SOC if (t) is the SOC of the battery energy storage unit i that can participate in frequency regulation at the beginning of period t, is the average SOC of the battery energy storage units participating in peak load regulation;

[0136] The constraints of the FM zone objective function include:

[0137] 1) Battery cell SOC constraint SOC min ≤SOC if (t)≤SOC max

[0138] Among them, SOC min , SOC max They are the minimum and maximum limits of SOC in the frequency modulation area of ​​the battery energy storage unit;

[0139] 2) Charge and discharge power constraint -|P max if (t)|≤P if (t)≤|P max if (t)|

[0140] Among them, P if (t) is the charge / discharge power of the i-th battery energy storage unit in the frequency regulation unit during period t, P max if (t) is the maximum power of the battery energy storage unit i that can participate in peak load regulation;

[0141] 3) SOC change constraints

[0142] Among them, SOC if (t+1) is the SOC of the battery energy storage unit i that can participate in frequency modulation at the beginning of the t+1 period, ΔT is a time period, S is the capacity of the battery energy storage unit, and the energy storage scheduling command power is greater than 0 in discharge mode and less than 0 in charging mode;

[0143] 4) Charge and discharge power conservation constraints

[0144] Among them, P BESSf (t) is the frequency regulation power of the energy storage power station during period t.

[0145] By solving the problem, the power instructions of the battery energy storage units participating in frequency regulation and peak regulation of the battery energy storage station can be obtained and fed back to the energy storage station through the communication module.

[0146] As shown in Figure 3, the second purpose of the present disclosure is to provide a power grid dispatching device for peak-shaving and frequency regulation. The power grid dispatching device 3 for peak-shaving and frequency regulation includes: a communication module 301, a dynamic partitioning module 302, a peak-shaving module 303, a frequency regulation module 304 and a power distribution module 305.

[0147] A dynamic partitioning module 302 is used to dynamically divide the peak-shaving area and the frequency-shaving area according to the SOC of the battery energy storage unit;

[0148] Peak shaving module 303, used to calculate the maximum power that can be generated in the peak shaving area and determine the number of battery energy storage units involved in peak shaving;

[0149] Frequency modulation module 304, configured to determine the maximum power that can be generated in the frequency modulation area based on the remaining battery energy storage units and determine the number of battery energy storage units that participate in the frequency modulation;

[0150] The power allocation module 305 calculates the power instructions of each battery energy storage unit participating in peak and frequency regulation according to the objective function;

[0151] The communication module 301 is connected to the power grid and is used to collect the peak-shaving and frequency-regulating power instructions of the power grid and the SOC of the battery energy storage units. The dynamic partitioning module 302 is connected to the frequency regulation module 304 and the peak-shaving module 303, and then enters the power allocation module 305. Based on the objective function and constraints, the power instructions allocated to each battery energy storage unit are calculated and sent to the energy storage power station through the communication module 301.

[0152] As shown in FIG4 , the third objective of the embodiment of the present disclosure is to provide an energy storage power station energy management system for peak shaving and frequency regulation. The energy storage power station energy management system for peak shaving and frequency regulation includes:

[0153] The acquisition module 401 is used to obtain the peak load regulation instruction and frequency regulation instruction of the power grid in each time period;

[0154] Peak-shaving zone frequency modulation module 402, for dynamically dividing the SOC of each battery energy storage unit in each time period into a peak-shaving zone and a frequency modulation zone, calculating the maximum power that can be generated in the peak-shaving zone based on the peak-shaving instruction, determining the number of battery energy storage units participating in peak-shaving, and then determining the maximum power that can be generated in the frequency modulation zone based on the remaining battery energy storage units and the frequency modulation instruction, and determining the number of battery energy storage units participating in frequency modulation;

[0155] Power calculation module 403 is configured to determine a peak-shaving zone objective function based on the number of battery energy storage units participating in peak shaving, determine a frequency modulation zone objective function based on the number of battery energy storage units participating in frequency modulation, and calculate power instructions for the battery energy storage units participating in peak shaving and frequency modulation based on the peak-shaving zone objective function and the frequency modulation zone objective function, respectively.

[0156] The present disclosure dynamically divides the energy storage units involved in peak shaving and frequency regulation, allowing energy storage power stations to participate in peak shaving and frequency regulation simultaneously, thereby improving the safety and stability of the power grid and increasing the utilization rate of energy storage power stations. Secondly, when participating in peak shaving, some battery energy storage units may have a SOC near the upper and lower limits, or the peak shaving power may be small, requiring only a small amount of battery energy storage unit output to meet the needs. These two situations will lead to the idleness of battery energy storage units. The present disclosure takes into account the SOC consistency of energy storage units and the operating limit constraints, so that as many energy storage units as possible can participate in peak shaving and frequency regulation, thereby improving the scheduling level of energy storage power stations.

[0157] As shown in Figure 5, the fourth purpose of the embodiment of the present disclosure is to provide an electronic device, which includes: a memory 501, a processor 502, and a computer program stored in the memory 501 and executable on the processor 502, wherein the processor 502 implements the energy management method for the energy storage power station for peak and frequency regulation when executing the computer program.

[0158] A fifth objective of the embodiments of the present disclosure is to provide a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the energy management method for energy storage power stations for peak and frequency regulation.

[0159] A sixth objective of the embodiments of the present disclosure is to provide a computer program product, including a computer program or instructions, which, when executed by a processor, implements the energy management method of the energy storage power station for peak and frequency regulation.

[0160] Those skilled in the art will appreciate that the embodiments of the present disclosure may be provided as methods, systems, or computer program products. Therefore, the present disclosure may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present disclosure may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0161] The present disclosure is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present disclosure. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device for implementing the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0162] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a product including an instruction device that implements the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0163] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0164] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present disclosure and not to limit them. Although the present disclosure has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present disclosure can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present disclosure should be included in the scope of protection of the claims of the present disclosure. Industrial Applicability

[0165] The embodiments of the present disclosure provide an energy management method, system, device, electronic device, storage medium, and product for an energy storage power station for peak shaving and frequency regulation, belonging to the field of energy storage technology, including: obtaining peak shaving instructions and frequency regulation instructions for the power grid in each time period; dynamically dividing the SOC of each battery energy storage unit in each time period into a peak shaving area and a frequency regulation area, calculating the maximum power that can be generated in the peak shaving area according to the peak shaving instruction, determining the number of battery energy storage units participating in peak shaving, and then determining the maximum power that can be generated in the frequency regulation area according to the remaining battery energy storage units and the frequency regulation instruction, and determining the number of battery energy storage units participating in frequency regulation; determining a peak shaving area target function according to the number of battery energy storage units participating in peak shaving, and determining a frequency regulation area target function according to the number of battery energy storage units participating in frequency regulation; and calculating power instructions for the battery energy storage units participating in peak shaving and frequency regulation according to the peak shaving area target function and the frequency regulation area target function, respectively. In this way, the energy management method for energy storage power stations for peak shaving and frequency regulation proposed in the present disclosure calculates the maximum power that can be generated and the number of battery energy storage units in the peak shaving area and the frequency regulation area respectively through dynamic partitioning, and obtains the corresponding battery energy storage unit power instructions; it realizes the active scheduling control of the energy storage power station that takes into account both peak shaving and frequency regulation functions, and by using the converter capacity used for peak shaving for frequency regulation when idle, it effectively enhances the frequency regulation capability of the energy storage power station without affecting the peak shaving capability, thereby improving the utilization efficiency of the battery energy storage power station. Furthermore, when the energy storage power station participates in peak shaving, some battery energy storage units may have SOCs near the upper and lower limits. If these units are not constrained, they are likely to enter the prohibited area; or the peak shaving power is small, so only a small amount of battery energy storage unit output is required to meet it. These two situations will lead to idle energy storage. The present disclosure has a good SOC consistency effect, so that the SOC of the battery energy storage unit is constrained in the peak shaving area, improving the scheduling level of the entire station.

Claims

1. An energy management method for a peaking and frequency regulation energy storage power station, comprising: Obtaining the peaking instruction and frequency regulation instruction of the power grid for each time period; Dynamically dividing the SOC of each battery energy storage unit into a peaking area and a frequency regulation area for each time period, calculating the maximum available power in the peaking area according to the peaking instruction, determining the number of battery energy storage units participating in peaking, and then determining the maximum available power in the frequency regulation area according to the remaining battery energy storage units and the frequency regulation instruction, and determining the number of battery energy storage units participating in frequency regulation; Determining the objective function of the peaking area according to the number of battery energy storage units participating in peaking, determining the objective function of the frequency regulation area according to the number of battery energy storage units participating in frequency regulation, and calculating the power instructions of the battery energy storage units participating in peaking and the power instructions of the battery energy storage units participating in frequency regulation according to the objective function of the peaking area and the objective function of the frequency regulation area respectively.

2. The energy management method for a peaking and frequency modulation-oriented energy storage power station according to claim 1, wherein, The peaking area is divided into a peak shaving area and a valley filling area.

3. The energy management method for a peaking and frequency regulation energy storage power station according to claim 2, wherein The peak clipping region is as follows: The valley filling area is as follows: Among them, SOC ip (t) is the SOC of the battery energy storage unit i that can participate in peak shaving at the beginning of time period t, P N is the rated power of a battery energy storage unit, S is the rated capacity of the battery energy storage unit, ΔT is the length of a time period, P max ip (t) is the maximum power of the battery energy storage unit i that can participate in peak shaving, SOC low is the lower limit of the peak shaving area, SOC high is the upper limit of the valley filling area.

4. The energy management method for a peaking and frequency regulation-oriented energy storage power station according to any one of claims 1 to 3, wherein, The maximum available power in the peak shaving area is: P max p (t) = ∑P max ip (t) If |P p (t)| > |P max p (t)|, P BESSp (t) = P max p (t); If |P p (t)| ≤ |P max p (t)|, P BESSp (t) = P p (t); Among them, P BESSp (t) is the peak shaving power of the energy storage power station in the t period, P max ip (t) is the maximum power of the battery energy storage unit i participating in peak shaving, P max p (t) is the maximum available power in the peak shaving area, P p (t) is the peak shaving instruction.

5. The energy management method for a peaking and frequency regulation-oriented energy storage power station according to any one of claims 1 to 3, wherein, The determining the number of battery energy storage units participating in peaking includes: When the BESS performs peak shaving, calculate ∑ i P max ip (t) for the battery energy storage units with SOC in the peak shaving area in descending order of SOC; when the BESS performs valley filling, calculate ∑ i P max ip (t) for the battery energy storage units with SOC in the valley filling area in ascending order of SOC until The number of units participating in peak shaving is N p (t); When the BESS performs peak shaving, select the battery energy storage units that need peaking actions in the peak shaving area in descending order of SOC, and when the BESS performs valley filling, select the battery energy storage units that need peaking actions in the valley filling area in ascending order of SOC; Among them, P max ip (t) is the maximum power of the battery energy storage unit i that can participate in peak shaving, P BESSp (t) is the peak shaving power of the energy storage power station at time t, N p (t) is the number of battery energy storage units that can participate in peak shaving.

6. The energy management method for a peaking and frequency regulation-oriented energy storage power station according to any one of claims 1 to 3, wherein The objective function of the peak shaving area is as follows: Among them, is the average SOC of the battery energy storage units participating in peak shaving, N p (t) is the number of battery energy storage units that can participate in peak shaving, SOC ip (t) is the SOC of battery energy storage unit i that can participate in peak shaving at the beginning of period t; The constraints of the objective function of the peaking area include: 1) Battery unit SOC constraint SOC min ≤SOC ip (t)≤SOC max Among them, SOC min and SOC max are the minimum and maximum limits of the SOC in the frequency regulation area of the battery energy storage unit, respectively; 2) Charge and discharge power constraint -|P max ip (t)|≤P ip (t)≤|P max ip (t)| Among them, P ip (t) is the charging / discharging power of the i-th battery energy storage unit in the peak shaving unit at time t, and P max ip (t) is the maximum power of the battery energy storage unit i that can participate in peak shaving; 3) SOC change constraint where SOC ip (t + 1) is the SOC of the battery energy storage unit i that can participate in peak shaving at the beginning of the (t + 1) period, ΔT is a time period, S is the capacity of the battery energy storage unit, the energy storage scheduling instruction power greater than 0 is the discharging mode, and less than 0 is the charging mode; 4) Charge-discharge power conservation constraint Among them, P BESSp (t) is the peak shaving power of the energy storage power station during the t period.

7. The energy management method for a peaking and frequency regulation-oriented energy storage power station according to any one of claims 1 to 3, wherein When determining the maximum available power for frequency regulation in the frequency regulation area based on the remaining battery energy storage units, first exclude the battery energy storage units that have participated in peak shaving; the frequency regulation units select the battery energy storage units between SOC min -SOC max as the battery energy storage units that can participate in frequency regulation; where SOC min and SOC max are the minimum and maximum boundaries of the SOC in the frequency regulation area of the battery energy storage unit respectively.

8. The energy management method for a peaking and frequency regulation-oriented energy storage power station according to any one of claims 1 to 3, wherein, When determining the maximum available power in the frequency regulation area: P f (t) < 0, the battery energy storage unit participating in frequency modulation is charged, P f (t) > 0, the battery energy storage unit participating in frequency modulation discharges, Among them, P f (t) is the frequency modulation command, and SOC if (t) is the SOC of the battery energy storage unit i that can participate in frequency modulation at the beginning of time period t. P N is the rated power of a battery energy storage unit, S is the rated capacity of the battery energy storage unit, ΔT is the length of a time period, and P max if (t) is the maximum power of the battery energy storage unit i that can participate in frequency modulation, and SOC min , SOC max are the minimum and maximum boundaries of the SOC in the frequency modulation area of the battery energy storage unit, respectively.

9. The energy management method for a peaking and frequency modulation oriented energy storage power station according to any one of claims 1 to 3, wherein, When determining the maximum available power in the frequency regulation area, all battery energy storage units in the frequency regulation area that do not participate in peak shaving operate, and the number of battery energy storage units participating in frequency regulation is N f N(t) = N(t) - N p (t), where N(t) is the number of all battery energy storage units, and N p (t) is the number of battery energy storage units in the peak shaving area. The maximum available power in the frequency regulation area is: P max f (t) = ∑P max if (t) If |P f (t)| ≥ |P max f (t)|, P BESSf (t) = P max f (t), and the power of the participating frequency modulation units is their maximum available power P max if (t); If |P f (t) |<| P max f (t) |, P BESSf (t) = P f (t); Wherein, P max if = ∑ min(P N , (SOC max - SOC if (t)) × S / ΔT, (SOC if (t) - SOC min )) × S / ΔT); Among them, P f (t) is the frequency modulation command, and P max if (t) is the maximum power of the battery energy storage unit i that can participate in frequency modulation, and P max f (t) is the maximum available power in the frequency modulation area, and P BESSf (t) is the frequency modulation power of the energy storage power station at time t, and P N is the rated power of a battery energy storage unit, S is the rated capacity of the battery energy storage unit, ΔT is the length of a time period, and SOC if (t) is the SOC of the battery energy storage unit i that can participate in frequency modulation at the beginning of time t, and SOC min and SOC max are respectively the minimum and maximum boundaries of the SOC in the frequency modulation area of the battery energy storage unit.

10. The energy management method for a peaking and frequency regulation-oriented energy storage power station according to any one of claims 1 to 3, wherein, When |P f (t) |<| P max f (t), it is necessary to determine the frequency regulation power of each battery energy storage unit. The objective function of the frequency regulation area is as follows: Among them, P f (t) is the frequency modulation command, and P max f (t) is the maximum available power in the frequency modulation area, is the average SOC of the battery energy storage units participating in frequency regulation, N f (t) is the number of battery energy storage units that can participate in frequency regulation, SOC if (t) is the SOC of battery energy storage unit i that can participate in frequency regulation at the beginning of period t, is the average SOC of the battery energy storage units participating in peaking; The constraints of the objective function of the frequency regulation area include: 1) Battery unit SOC constraint SOC min ≤SOC if (t)≤SOC max Among them, SOC min and SOC max are respectively the minimum and maximum limits of the SOC in the frequency regulation area of the battery energy storage unit; 2) Charge and discharge power constraint -|P max if (t)| ≤ P if (t) ≤ |P max if (t)| Among them, P if (t) is the charging / discharging power of the i-th battery energy storage unit in the frequency modulation unit at time t, and P max if (t) is the maximum power of the battery energy storage unit i that can participate in peak shaving; 3) SOC change constraint Among them, SOC if (t + 1) is the SOC of the battery energy storage unit i that can participate in frequency modulation at the start of the (t + 1) period. ΔT is a time period, S is the capacity of the battery energy storage unit. When the energy storage scheduling instruction power is greater than 0, it is the discharge mode, and when it is less than 0, it is the charging mode; 4) Charge and discharge power conservation constraint Among them, P BESSf (t) is the frequency regulation power of the energy storage power station during the t period.

11. An energy management system for a peaking and frequency regulation energy storage power station, comprising: An acquisition module for acquiring the peaking instruction and frequency regulation instruction of the power grid for each time period; A peaking and frequency regulation module for dynamically dividing the SOC of each battery energy storage unit into a peaking area and a frequency regulation area for each time period, calculating the maximum available power in the peaking area according to the peaking instruction, determining the number of battery energy storage units participating in peaking, and then determining the maximum available power in the frequency regulation area according to the remaining battery energy storage units and the frequency regulation instruction, and determining the number of battery energy storage units participating in frequency regulation; A power calculation module for determining the objective function of the peaking area according to the number of battery energy storage units participating in peaking, determining the objective function of the frequency regulation area according to the number of battery energy storage units participating in frequency regulation, and calculating the power instructions of the battery energy storage units participating in peaking and the power instructions of the battery energy storage units participating in frequency regulation according to the objective function of the peaking area and the objective function of the frequency regulation area respectively.

12. A power grid dispatching device for peaking and frequency regulation, comprising: A dynamic partitioning module for dynamically dividing the peaking area and the frequency regulation area according to the SOC of the battery energy storage unit; A peaking module for calculating the maximum available power in the peaking area and determining the number of battery energy storage units participating in peaking; A frequency regulation module for determining the maximum available power in the frequency regulation area according to the remaining battery energy storage units and determining the number of battery energy storage units participating in frequency regulation; A power distribution module for calculating the power instructions of each battery energy storage unit participating in peaking and frequency regulation according to the objective function respectively; A communication module, configured to connect to the power grid, collect the peak shaving and frequency modulation power commands of the power grid and the SOC of the battery energy storage unit, and send the power commands of each battery energy storage unit to the energy storage power station.

13. An electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the energy management method for a peak shaving and frequency modulation oriented energy storage power station according to any one of claims 1-10 is implemented.

14. A computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the energy management method for a peak shaving and frequency modulation oriented energy storage power station according to any one of claims 1-10 is implemented.

15. A computer program product, comprising a computer program or instruction, wherein when the computer program or instruction is executed by a processor, the energy management method for a peak shaving and frequency modulation oriented energy storage power station according to any one of claims 1 to 10 is implemented.

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