Scheduling method and device for energy storage system in energy storage power station

Abstract

The embodiment of the invention provides a scheduling method and device for energy storage systems in an energy storage power station, and the method is applied to a server side, and comprises the steps: obtaining the actual charging and discharging amount corresponding to each energy storage system, the SOC of a charging and discharging tail end, the SOC representative value of the charging and discharging tail end, the variation of the SOC, and the SOH of the energy storage system, according to the SOH of the energy storage system, the rated electric quantity and the SOC representative value of the charging and discharging tail end, the optimized total charging and discharging quantity and the optimized charging and discharging power corresponding to the energy storage system are obtained, the first charging and discharging duration and the second charging and discharging duration are determined, and an optimized planned scheduling curve is obtained; and the control equipment completes scheduling of the energy storage system in the energy storage power station based on the optimized plan scheduling curve. Based on the method provided by the embodiment, the inconsistency difference between the energy storage systems is effectively reduced, so that the performance of the energy storage systems is fully exerted, and the energy storage capability of the energy storage power station is improved.

Description

Technical Field

[0001] The present application relates to the field of energy storage technology, and in particular to a method and device for scheduling an energy storage system in an energy storage power station. Background Art

[0002] The energy storage power station includes multiple energy storage systems. Each energy storage system can be boosted through the integrated converter boosting equipment, and then connected to the grid through the 220KV boosting station to obtain the microgrid corresponding to the energy storage power station. In order to improve the economic benefits of the energy storage power station microgrid and ensure the efficient and stable operation of the energy storage power station power system, a whole station control strategy can be formulated. The whole station control strategy is implemented by formulating a scheduling plan curve. The control equipment uses the scheduling plan curve to dispatch the energy storage system to control the reasonable power consumption of the energy storage system.

[0003] In the prior art, the time and power for controlling the charging and discharging of the energy storage station are obtained based on the rated power and rated capacity of a single or all energy storage systems in the energy storage station, and a scheduling plan curve is formulated based on the obtained charging and discharging time and power.

[0004] However, as the operating years increase, the different battery states of charge (SOC) and health (SOH) in different energy storage systems, as well as the deterioration of battery consistency, will cause individual energy storage systems to exit the power response to the scheduling plan curve first, making it impossible to fully utilize the energy storage capacity of the energy storage power station, resulting in a waste of resources. Summary of the invention

[0005] The embodiments of the present application provide a method and device for scheduling an energy storage system in an energy storage power station, which can improve the energy storage capacity of the energy storage power station.

[0006] In a first aspect, an embodiment of the present application provides a method for scheduling an energy storage system in an energy storage power station, wherein the energy storage power station includes multiple energy storage systems. The method is applied to a server, including:

[0007] Obtaining an original planned scheduling curve, a rated power and operating data corresponding to each energy storage system, wherein the original planned scheduling curve includes an original charging and discharging power;

[0008] For each energy storage system, based on the operating data corresponding to the energy storage system, the actual charge and discharge amount, the SOC at the end of charge and discharge, the representative value of the SOC at the end of charge and discharge, and the change in SOC corresponding to the energy storage system are obtained;

[0009] For each energy storage system, based on the actual charge and discharge amount, rated capacity and SOC change of the energy storage system, the SOH of the energy storage system is obtained;

[0010] For each energy storage system, the remaining available power corresponding to the energy storage system is obtained according to the SOH, rated power and SOC representative value of the energy storage system at the end of charge and discharge;

[0011] Sum the actual charge and discharge capacity and the remaining available power corresponding to each energy storage system in the energy storage power station to obtain the optimized total charge and discharge capacity corresponding to the energy storage power station;

[0012] Determine the optimized charging and discharging power;

[0013] Determining a first charge and discharge duration and a second charge and discharge duration based on the SOC representative value, the original charge and discharge power, and the optimized charge and discharge power at the charge and discharge end;

[0014] The charge and discharge power is maintained at the original charge and discharge power for the first charge and discharge time and then reduced to the optimized charge and discharge power, and the charge and discharge power is maintained at the optimized charge and discharge power for the second charge and discharge time and then reduced to zero, so as to obtain an optimized planned scheduling curve;

[0015] The optimized planned dispatching curve is output to a control device, so that the control device completes the dispatching of the energy storage system in the energy storage power station based on the optimized planned dispatching curve.

[0016] In a possible implementation, for each energy storage system, obtaining the SOH of the energy storage system based on the actual charge and discharge amount, the rated capacity and the change in SOC of the energy storage system includes:

[0017] Obtaining a first product of the rated power and a change in SOC;

[0018] The actual charge and discharge amount of the energy storage system is compared with the first product to obtain the SOH of the energy storage system.

[0019] In a possible implementation manner, the remaining available power includes a remaining chargeable power and a remaining dischargeable power;

[0020] Accordingly, for each energy storage system, the remaining available power corresponding to the energy storage system is obtained according to the SOH, rated power and the SOC representative value at the end of charge and discharge of the energy storage system, including:

[0021] Obtaining a first difference between the SOC representative value at the end of charge and discharge and 1;

[0022] Determine the remaining chargeable capacity of the energy storage system by multiplying the SOH of the energy storage system by a second product of the rated capacity and the first difference;

[0023] The remaining dischargeable capacity corresponding to the energy storage system is determined as the third product of the SOH of the energy storage system, the rated capacity, and the SOC representative value at the end of the charge and discharge.

[0024] In a possible implementation manner, determining the optimized charging and discharging power includes:

[0025] Obtain the maximum SOC and minimum SOC at the end of charge and discharge corresponding to each energy storage system;

[0026] Based on the maximum SOC and the minimum SOC of the charging and discharging terminals corresponding to each energy storage system, determining the proportion of the SOC representative value that does not exceed the charging and discharging terminal;

[0027] A fourth product of the original charge and discharge power and the proportion is determined as the optimized charge and discharge power.

[0028] In a possible implementation manner, determining the first charge and discharge duration and the second charge and discharge duration based on the SOC representative value, the original charge and discharge power, and the optimized charge and discharge power at the charge and discharge terminal includes:

[0029] Determining the first charge and discharge duration and the first total charge and discharge amount based on the SOC representative value at the charge and discharge end and the original charge and discharge power;

[0030] Obtaining a second difference between the optimized total charge and discharge capacity and the first total charge and discharge capacity, and determining the second difference as a second total charge and discharge capacity;

[0031] The ratio between the second total charge and discharge amount and the optimized charge and discharge power is determined as the second charge and discharge duration.

[0032] In a possible implementation, it further includes:

[0033] For each energy storage system, obtaining a preset limit value corresponding to the SOC at the end of charge and discharge of the energy storage system;

[0034] Determining whether the actual SOC of the energy storage system reaches the preset limit value during the process of charging and discharging the energy storage system;

[0035] If the actual SOC of the energy storage system does not reach the preset limit, then keep charging and discharging the energy storage system;

[0036] If the actual SOC of the energy storage system has reached the preset limit, charging and discharging of the energy storage system is stopped.

[0037] In a second aspect, the present application provides a scheduling device for an energy storage system in an energy storage power station, wherein the energy storage power station includes a plurality of energy storage systems, and the device is applied to a service end, including:

[0038] An acquisition module is used to acquire an original planned scheduling curve, a rated power and operation data corresponding to each energy storage system, wherein the original planned scheduling curve includes an original charging and discharging power;

[0039] A processing module, for obtaining, for each energy storage system, the actual charge and discharge amount, the SOC at the charge and discharge end, the SOC representative value at the charge and discharge end, and the SOC change amount corresponding to the energy storage system based on the operation data corresponding to the energy storage system;

[0040] The processing module is further used to obtain the SOH of each energy storage system based on the actual charge and discharge amount, rated power and SOC change of the energy storage system;

[0041] The processing module is further used to obtain, for each energy storage system, the remaining available power corresponding to the energy storage system according to the SOH, rated power and SOC representative value of the energy storage system at the end of charge and discharge;

[0042] The processing module is further used to sum the actual charge and discharge capacity and the remaining available power corresponding to each energy storage system in the energy storage power station to obtain the optimized total charge and discharge capacity corresponding to the energy storage power station;

[0043] The processing module is also used to determine the optimized charging and discharging power;

[0044] The processing module is further used to determine the first charge and discharge duration and the second charge and discharge duration based on the SOC representative value at the charge and discharge end, the original charge and discharge power, and the optimized charge and discharge power;

[0045] The processing module is further used to reduce the charge and discharge power to the optimized charge and discharge power after maintaining the first charge and discharge time at the original charge and discharge power, and reduce the charge and discharge power to zero after maintaining the second charge and discharge time at the optimized charge and discharge power, so as to obtain an optimized planned scheduling curve;

[0046] The processing module is also used to output the optimized planned scheduling curve to the control device, so that the control device completes the scheduling of the energy storage system in the energy storage power station based on the optimized planned scheduling curve.

[0047] In a third aspect, the present application provides a computer device, including: a memory, a processor;

[0048] The memory stores computer-executable instructions;

[0049] The processor executes the computer-executable instructions stored in the memory, so that the processor performs the above-mentioned method.

[0050] In a third aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to implement the method as described above when executed by a processor.

[0051] In a fourth aspect, the present application provides a computer program product, including a computer program, which implements the method as described above when executed by a processor.

[0052] The method and device for scheduling an energy storage system in an energy storage power station provided in the embodiments of the present application effectively reduce the inconsistency differences between energy storage systems by optimizing the charge and discharge amount and charge and discharge power of the energy storage system. Based on the optimized planned scheduling curve, the electric energy in the energy storage system can be more reasonably scheduled, so that the performance of the energy storage system can be fully utilized to improve the energy storage capacity of the energy storage power station. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0054] Figure 1 Schematic diagram of the scenario provided for this application;

[0055] Figure 2 Schematic diagram of the process of scheduling the energy storage system in the energy storage power station provided by this application Figure 1 ;

[0056] Figure 3 The schematic diagram of the optimized scheduling curve for the example;

[0057] Figure 4 Schematic diagram of the process of scheduling the energy storage system in the energy storage power station provided by this application Figure 2 ;

[0058] Figure 5 Schematic diagram of the process of scheduling the energy storage system in the energy storage power station provided by this application Figure 3 ;

[0059] Figure 6 Schematic diagram of the process of scheduling the energy storage system in the energy storage power station provided by this application Figure 4 ;

[0060] Figure 7 Schematic diagram of the process of scheduling the energy storage system in the energy storage power station provided by this application Figure 5 ;

[0061] Figure 8 Schematic diagram of the process of scheduling the energy storage system in the energy storage power station provided by this application Figure 6 ;

[0062] Fig. 9 A schematic diagram of the structure of a dispatching device for an energy storage system in an energy storage power station provided by the present application;

[0063] Fig.10 A schematic diagram of the structure of the electronic device provided in this application.

[0064] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0065] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0066] First, the terms involved in this application are explained:

[0067] Ampere-hour integration method: The battery capacity change is calculated by measuring the battery's charge and discharge current and time, thereby estimating the battery's state of charge (SOC).

[0068] Figure 1 The scenario diagram provided for this application is as follows: Figure 1 As shown, the energy storage power station includes multiple energy storage systems. The energy storage systems can be dispatched by the service end ① based on the formulated dispatch plan curve to control the reasonable power consumption of the energy storage systems.

[0069] At present, the rated power and rated capacity of a single or all energy storage systems in the energy storage power station are mainly used as the basis to obtain the time and power of controlling the charging and discharging of the energy storage power station, and the scheduling plan curve is formulated based on the obtained charging and discharging time and power. However, with the increase in operating years, the SOC and SOH of different energy storage systems are different, and the battery consistency becomes worse, which will cause individual energy storage systems to exit the power response to the scheduling plan curve first, making it impossible to fully utilize the energy storage capacity of the energy storage power station, resulting in a waste of resources.

[0070] The method for scheduling an energy storage system in an energy storage power station provided in the embodiment of the present application is that the service end optimizes the charge and discharge capacity and charge and discharge power of each energy storage system to obtain the optimized total charge and discharge capacity and optimized charge and discharge power corresponding to the energy storage power station, and thereby obtains the optimized planned scheduling curve, and sends the optimized planned scheduling curve to the control device, so that the control device completes the scheduling of the energy storage system in the energy storage power station based on the optimized planned scheduling curve. The method for scheduling an energy storage system in an energy storage power station provided in the embodiment of the present application effectively reduces the inconsistency differences between energy storage systems, enables the performance of the energy storage system to be fully utilized, and improves the energy storage capacity of the energy storage power station.

[0071] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0072] Figure 2 Schematic diagram of the process of scheduling the energy storage system in the energy storage power station provided by this application Figure 1 , the method is applied to the server, such as Figure 2 As shown, including:

[0073] S201. Obtain an original planned scheduling curve, a rated power and operating data corresponding to each energy storage system, wherein the original planned scheduling curve includes an original charging and discharging power.

[0074] Combined with the scene example, combined with Figure 1 The energy storage power station includes multiple energy storage systems. The execution entity of this application is Figure 1 The server end in the example may be a computer or server that provides services.

[0075] The original planned dispatch curve is the planned dispatch curve before optimization, including the original charging and discharging power of the energy storage system. The operating data of the energy storage system includes the time, current, voltage and temperature during the charging and discharging process.

[0076] S202. For each energy storage system, based on the operating data corresponding to the energy storage system, obtain the actual charge and discharge amount, the SOC at the charge and discharge end, the SOC representative value at the charge and discharge end, and the SOC change amount corresponding to the energy storage system.

[0077] Combined with the scenario example, the actual charge and discharge amount is the actual charge amount or actual discharge amount of the energy storage system during the charge and discharge process, and the charge and discharge terminal SOC is the corresponding charge terminal SOC after charging is completed, or the corresponding discharge terminal SOC after discharging is completed. Regarding the determination of the SOC representative value of the charge and discharge terminal, the median or average of the charge and discharge terminal SOC corresponding to each energy storage system can be determined as the SOC representative value of the charge and discharge terminal according to actual conditions. The change in SOC is the difference between the highest charging SOC and the lowest discharging SOC corresponding to the energy storage system.

[0078] S203: For each energy storage system, based on the actual charge and discharge capacity, rated capacity and SOC change of the energy storage system, obtain the SOH of the energy storage system.

[0079] Combined with the scenario example, the SOH of the energy storage system represents the health status of the energy storage system. The SOHs of multiple energy storage systems included in the energy storage power station are different, so the SOH of each energy storage system is obtained based on the actual charge and discharge amount, rated power and SOC change of each energy storage system.

[0080] S204: For each energy storage system, obtain the remaining available power corresponding to the energy storage system according to the SOH, rated power and SOC representative value of the energy storage system at the end of charge and discharge.

[0081] Combined with the scenario example, the remaining available power corresponding to the energy storage system includes the remaining chargeable capacity and the remaining dischargeable capacity.

[0082] S205: summing up the actual charge and discharge capacity and the remaining available power capacity corresponding to each energy storage system in the energy storage power station to obtain an optimized total charge and discharge capacity corresponding to the energy storage power station.

[0083] Combined with the scenario example, the optimized total charge and discharge capacity includes the optimized total charge capacity and the optimized total discharge capacity. For the optimized total charge capacity, the first result of the remaining discharge capacity of each energy storage system in the SOC state before charging and the original charge and discharge power can be calculated. For each energy storage system, the corresponding first result obtained can be added to the corresponding remaining charge capacity and actual charge capacity obtained in the previous step to obtain the optimized charge capacity corresponding to each energy storage system. Finally, the optimized charge capacity corresponding to each energy storage system is added to obtain the optimized total charge capacity corresponding to the entire energy storage power station.

[0084] Similarly, for the optimized total discharge capacity, the second result of multiplying the remaining chargeable capacity of each energy storage system in the SOC state before discharge by the original charge and discharge power can be calculated. For each energy storage system, the corresponding second result obtained can be added to the corresponding remaining dischargeable capacity and actual discharge capacity obtained in the previous step to obtain the optimized discharge capacity corresponding to each energy storage system. Finally, the optimized discharge capacity corresponding to each energy storage system is added to obtain the optimized total discharge capacity corresponding to the entire energy storage power station.

[0085] S206: Determine the optimized charging and discharging power.

[0086] By optimizing the charging and discharging power in combination with scenario examples, when some energy storage systems are fully charged or discharged, the remaining energy storage systems can still charge and discharge normally, avoiding triggering control protection restrictions that may cause the entire station to stop operating or battery overcurrent, overload or overcharge and other safety issues. It can also achieve power leveling between the energy storage systems, reduce consistency differences, and maximize the performance of the energy storage power station.

[0087] S207: Determine a first charge and discharge duration and a second charge and discharge duration based on the SOC representative value of the charge and discharge terminal, the original charge and discharge power, and the optimized charge and discharge power.

[0088] Combined with the scenario example, the original charge and discharge power is the charge and discharge power before optimization, the first charge and discharge time is the time corresponding to the charge and discharge using the original charge and discharge power, and the second charge and discharge time is the time corresponding to the charge and discharge using the optimized charge and discharge power.

[0089] S208, maintaining the charge and discharge power at the original charge and discharge power for the first charge and discharge time and then reducing it to the optimized charge and discharge power, maintaining the charge and discharge power at the optimized charge and discharge power for the second charge and discharge time and then reducing it to zero, so as to obtain an optimized planned scheduling curve.

[0090] Combined with the scene example, Figure 3 The schematic diagram of the optimized scheduling curve is as follows: Figure 3As shown, V1 is the original charge and discharge power before optimization, V2 is the optimized charge and discharge power, t1 is the first charge and discharge time, and t2 is the second charge and discharge time. The power V1 is used to charge for a time of t1, so that the energy storage system with a higher SOC before charging is nearly fully charged, and then the power is reduced to V2 for charging, so that the remaining energy storage system maintains normal charging, and the power V2 is used to charge for a time of t2, and then the power is reduced to 0 to obtain the optimized charging curve. Similarly, the power V1 is used to discharge for a time of t1, so that the energy storage system with a lower SOC before discharge is nearly empty, and then the power is reduced to V2 for discharging, so that the remaining energy storage system maintains normal discharge, and the power V2 is used to discharge for a time of t2, and then the power is reduced to 0 to obtain the optimized discharge curve. Combined with Figure 3 , the optimized charging curve and discharging curve are determined as the optimized planning scheduling curve.

[0091] S209: Output the optimized planned dispatching curve to the control device, so that the control device completes the dispatching of the energy storage system in the energy storage power station based on the optimized planned dispatching curve.

[0092] Combined with the scenario example, the control device is responsible for scheduling the energy storage system in the energy storage power station. The control device schedules the charging and discharging of the energy storage system in the energy storage power station based on the obtained optimized planned scheduling curve. Based on the method provided in this example, by optimizing the charging and discharging amount and charging and discharging power of the energy storage system, the inconsistency between the energy storage systems is effectively reduced. Based on the optimized planned scheduling curve, the electric energy in the energy storage system can be more reasonably scheduled, so that the performance of the energy storage system is fully utilized, and the energy storage capacity of the energy storage power station is improved.

[0093] Optional, Figure 4 Schematic diagram of the process of scheduling the energy storage system in the energy storage power station provided by this application Figure 2 ,like Figure 4 As shown, S203 includes:

[0094] S401. Obtain a first product of the rated power and a change in SOC.

[0095] Combined with the scenario example, the method for determining the SOH of the energy storage system can be obtained by referring to the first formula below:

[0096] First formula:

[0097] Where ∆SOC is the change in SOC corresponding to the energy storage system, C 额 is the rated capacity corresponding to the energy storage system, and the first product of the rated capacity and the change in SOC is used as the numerator.

[0098] S402: Compare the actual charge and discharge amount of the energy storage system with the first product to obtain the SOH of the energy storage system.

[0099] Combined with the scenario example and the first formula above, where ∆C is the actual charge and discharge amount of the energy storage system during the charging and discharging process, the result of comparing the actual charge and discharge amount with the first product is determined as the health state SOH corresponding to the energy storage system. Based on the method provided in this example, the health state SOH corresponding to each energy storage system can be accurately obtained.

[0100] Optionally, the remaining available power includes a remaining chargeable power and a remaining dischargeable power;

[0101] Accordingly, Figure 5 Schematic diagram of the process of scheduling the energy storage system in the energy storage power station provided by this application Figure 3 ,like Figure 5 As shown, S204 includes:

[0102] S501. Obtain a first difference between the SOC representative value at the end of charge and discharge and 1.

[0103] Combined with the scenario example, the SOC representative value of the charging and discharging terminals includes the SOC representative value of the charging terminal and the SOC representative value of the discharging terminal. The median or average of the SOC of the charging terminal corresponding to each energy storage system can be determined as the SOC representative value of the charging terminal, and the median or average of the SOC of the discharging terminal corresponding to each energy storage system can be determined as the SOC representative value of the discharging terminal. The remaining chargeable capacity corresponding to the energy storage system can be determined by the following second formula:

[0104] Second formula:

[0105]

[0106] The difference between 1 and the SOC representative value of the charging terminal is determined as the first difference.

[0107] S502: Determine the remaining chargeable capacity of the energy storage system by multiplying the SOH of the energy storage system by a second product of the rated capacity and the first difference.

[0108] Combined with the scenario example and the second formula, the SOH and C of the energy storage system are 额 The second product of the first difference is determined as the remaining chargeable capacity corresponding to the energy storage system. Based on the above second formula, the remaining chargeable capacity corresponding to each energy storage system in the energy storage power station can be obtained.

[0109] S503: Determine the remaining dischargeable capacity of the energy storage system by multiplying the SOH of the energy storage system by the third product of the rated capacity and the SOC representative value at the end of the charge and discharge.

[0110] Combined with the scenario example, the remaining discharge capacity of the energy storage system can be determined by the following third formula:

[0111] The third formula:

[0112] The SOH and C of the energy storage system 额 The third product between the SOC representative value at the end of discharge is determined as the remaining dischargeable capacity corresponding to the energy storage system. Combined with the above third formula, the remaining dischargeable capacity corresponding to each energy storage system in the energy storage power station can be obtained. Based on the method provided in this example, the remaining chargeable capacity and the remaining dischargeable capacity corresponding to the energy storage system can be obtained according to the second formula and the third formula.

[0113] Optional, Figure 6 Schematic diagram of the process of scheduling the energy storage system in the energy storage power station provided by this application Figure 4 ,like Figure 6 As shown, S206 includes:

[0114] S601, obtaining the maximum SOC and the minimum SOC at the end of charge and discharge corresponding to each energy storage system.

[0115] Combined with the scenario example, the maximum SOC and the minimum SOC at the charging and discharging terminals include the maximum SOC at the charging terminal and the minimum SOC at the discharging terminal. Due to the consistency differences between the various energy storage systems, the maximum SOC at the charging terminal and the minimum SOC at the discharging terminal corresponding to each energy storage system can be obtained based on the original planned scheduling curve before optimization.

[0116] S602: Based on the maximum SOC and the minimum SOC of the charging and discharging terminals corresponding to each energy storage system, determine the proportion of the SOC representative value that does not exceed the charging and discharging terminal.

[0117] Combined with the scenario example, the SOC representative value of the charging and discharging terminals includes the charging terminal SOC representative value and the discharging terminal representative value. For each energy storage system, the size between the corresponding charging terminal maximum SOC and the charging terminal SOC representative value is determined, and the size between the corresponding discharging terminal minimum SOC and the discharging terminal SOC representative value is determined. The proportion of the SOC representative value of the charging and discharging terminals that does not exceed the above-mentioned charging and discharging terminal is the proportion of energy storage systems whose maximum SOC of the charging terminal is less than the charging terminal SOC representative value, and whose minimum SOC of the discharging terminal is greater than the discharging terminal SOC representative value to all energy storage systems in the energy storage power station.

[0118] S603: Determine a fourth product of the original charge and discharge power and the proportion as the optimized charge and discharge power.

[0119] Combined with the scenario example, the fourth product of the proportion obtained in the previous step and the original charge and discharge power before optimization is determined as the optimized charge and discharge power. Based on the method provided in this example, the charge and discharge power can be optimized, and the remaining energy storage systems can still charge and discharge normally when some energy storage systems are fully charged or discharged, avoiding triggering control protection restrictions that cause the entire station to stop operating or battery overcurrent, overload or overcharge and other safety issues. It can also achieve power leveling between energy storage systems, reduce consistency differences, and maximize the performance of the power station.

[0120] Optional, Figure 7 Schematic diagram of the process of scheduling the energy storage system in the energy storage power station provided by this application Figure 5 ,like Figure 7 As shown, S207 includes:

[0121] S701: Determine the first charge and discharge duration and the first total charge and discharge amount based on the SOC representative value at the charge and discharge terminal and the original charge and discharge power.

[0122] Combined with the scene example, combined with Figure 3 For the charging process, each energy storage system is charged with the original charging power until the energy storage system reaches the SOC representative value at the charging end, and the current first total charge amount is obtained. The ratio between the first total charge amount and the original charging power is determined as the first charging time t1 corresponding to charging with the original charging power. For the discharging process, each energy storage system is discharged with the original discharge power until the energy storage system reaches the SOC representative value at the discharge end, and the current first total discharge amount is obtained. The ratio between the first total discharge amount and the original discharge power is determined as the first discharge time t1 corresponding to discharging with the original discharge power.

[0123] S702: Obtain a second difference between the optimized total charge and discharge capacity and the first total charge and discharge capacity, and determine the second difference as a second total charge and discharge capacity.

[0124] In combination with the scenario example, the second difference between the optimized total charge capacity and the first total charge capacity is determined as the second total charge capacity, and the second difference between the optimized total discharge capacity and the first total discharge capacity is determined as the second total discharge capacity.

[0125] S703: Determine a ratio between the second total charge and discharge amount and the optimized charge and discharge power as the second charge and discharge duration.

[0126] Combined with the scenario example, for the charging process, after comparing the second total charge amount with the optimized charging power, the second charging time t2 corresponding to charging with the optimized charging power can be obtained. For the discharging process, after comparing the second total discharge amount with the optimized discharge power, the second discharge time t2 corresponding to discharging with the optimized discharge power can be obtained. Based on the method provided in this example, an optimized planning scheduling curve can be obtained.

[0127] Optional, Figure 8 Schematic diagram of the process of scheduling the energy storage system in the energy storage power station provided by this application Figure 6 ,like Figure 8 As shown, it also includes:

[0128] S801. For each energy storage system, obtain a preset limit value corresponding to the SOC at the charging and discharging end of the energy storage system.

[0129] Combined with the scenario example, the upper and lower limits of the SOC of the energy storage system can be calculated based on the data results obtained by charging and discharging the energy storage system using the optimized scheduling curve, and the upper limit of the SOC obtained is determined as the preset limit corresponding to the SOC at the charging end, and the lower limit of the SOC obtained is determined as the preset limit corresponding to the SOC at the discharging end. Then, the strategy is optimized from the levels of the battery management system (BMS), power conversion system (PCS), and energy management system (EMS), that is, the SOC interval restrictions are relaxed and the available charging and discharging interval range of the energy storage system is released. At the same time, due to the changes in the charging and discharging intervals, it is also necessary to optimize the relevant alarm thresholds such as the pressure difference, temperature difference, and power limit at the charging and discharging ends to avoid touching the corresponding restrictions and affecting the operation of the power station.

[0130] S802: Determine whether the actual SOC of the energy storage system reaches the preset limit value during the process of charging and discharging the energy storage system.

[0131] Combined with the scenario example, during the charging process, it can be judged in real time whether the actual SOC of the energy storage system reaches the preset limit corresponding to the charging terminal SOC. During the discharging process, it can be judged in real time whether the actual SOC of the energy storage system reaches the preset limit corresponding to the discharging terminal SOC.

[0132] S803: If the actual SOC of the energy storage system does not reach the preset limit, keep charging and discharging the energy storage system.

[0133] Combined with the scenario example, during the charging process, if the actual SOC of the energy storage system does not reach the preset limit corresponding to the charging terminal SOC, the energy storage system can be kept charged. During the discharging process, if the actual SOC of the energy storage system does not reach the preset limit corresponding to the discharging terminal SOC, the energy storage system can be kept discharged.

[0134] S804: If the actual SOC of the energy storage system has reached the preset limit, stop charging and discharging the energy storage system.

[0135] Combined with the scenario example, during the charging process, if the actual SOC of the energy storage system has reached the preset limit corresponding to the charging terminal SOC, the charging of the energy storage system can be terminated. During the discharging process, if the actual SOC of the energy storage system has reached the preset limit corresponding to the discharging terminal SOC, the discharging of the energy storage system can be terminated. Based on the method provided in this example, the maximum performance of the energy storage power station can be achieved with the dual support of working condition design and strategy optimization.

[0136] This embodiment effectively reduces the inconsistency between energy storage systems by optimizing the charge and discharge capacity and charge and discharge power of the energy storage system. Based on the optimized planned scheduling curve, the electric energy in the energy storage system can be more reasonably scheduled, so that the performance of the energy storage system can be fully utilized, and the energy storage capacity of the energy storage power station is improved.

[0137] Fig. 9 The schematic diagram of the structure of the dispatching device for the energy storage system in the energy storage power station provided by the present application is as follows: Fig. 9 As shown, the device is applied to the server, including:

[0138] An acquisition module 91 is used to acquire an original planned scheduling curve, a rated power and operation data corresponding to each energy storage system, wherein the original planned scheduling curve includes an original charging and discharging power;

[0139] A processing module 92 is used to obtain, for each energy storage system, the actual charge and discharge amount, the charge and discharge terminal SOC, the SOC representative value at the charge and discharge terminal, and the SOC change amount corresponding to the energy storage system based on the operation data corresponding to the energy storage system;

[0140] The processing module 92 is further used to obtain the SOH of each energy storage system based on the actual charge and discharge amount, rated power and SOC change of the energy storage system;

[0141] The processing module 92 is further used to obtain, for each energy storage system, the remaining available power corresponding to the energy storage system according to the SOH, rated power and the SOC representative value at the end of the charge and discharge of the energy storage system;

[0142] The processing module 92 is further used to sum the actual charge and discharge capacity and the remaining available power corresponding to each energy storage system in the energy storage power station to obtain the optimized total charge and discharge capacity corresponding to the energy storage power station;

[0143] The processing module 92 is also used to determine the optimized charging and discharging power;

[0144] The processing module 92 is further used to determine the first charge and discharge duration and the second charge and discharge duration based on the SOC representative value at the charge and discharge end, the original charge and discharge power, and the optimized charge and discharge power;

[0145] The processing module 92 is further configured to reduce the charge and discharge power to the optimized charge and discharge power after maintaining the first charge and discharge time at the original charge and discharge power, and reduce the charge and discharge power to zero after maintaining the second charge and discharge time at the optimized charge and discharge power, so as to obtain an optimized planned scheduling curve;

[0146] The processing module 92 is further used to output the optimized planned dispatching curve to the control device, so that the control device completes the dispatching of the energy storage system in the energy storage power station based on the optimized planned dispatching curve.

[0147] Optionally, the processing module 92 is specifically configured to obtain a first product of the rated power and the change in SOC;

[0148] The processing module 92 is further specifically configured to compare the actual charge and discharge amount of the energy storage system with the first product to obtain the SOH of the energy storage system.

[0149] Optionally, the remaining available power includes a remaining chargeable power and a remaining dischargeable power;

[0150] Accordingly, the processing module 92 is further configured to obtain a first difference between the SOC representative value at the end of charge and discharge and 1;

[0151] The processing module 92 is further configured to determine the remaining chargeable capacity of the energy storage system by multiplying the SOH of the energy storage system by a second product between the rated capacity and the first difference;

[0152] The processing module 92 is further specifically configured to determine the remaining dischargeable capacity of the energy storage system by multiplying the SOH of the energy storage system by the third product of the rated power and the SOC representative value at the end of the charge and discharge.

[0153] Optionally, the processing module 92 is further configured to obtain the maximum SOC and the minimum SOC at the end of charge and discharge corresponding to each energy storage system;

[0154] The processing module 92 is further specifically used to determine the proportion of the SOC representative value that does not exceed the charge and discharge terminal based on the maximum SOC and the minimum SOC of the charge and discharge terminal corresponding to each energy storage system;

[0155] The processing module 92 is further specifically configured to determine a fourth product of the original charge and discharge power and the proportion as the optimized charge and discharge power.

[0156] Optionally, the processing module 92 is further configured to determine the first charge and discharge duration and the first total charge and discharge amount based on the SOC representative value at the charge and discharge end and the original charge and discharge power;

[0157] The processing module 92 is further configured to obtain a second difference between the optimized total charge and discharge amount and the first total charge and discharge amount, and determine the second difference as a second total charge and discharge amount;

[0158] The processing module 92 is further specifically configured to determine the ratio between the second total charge and discharge amount and the optimized charge and discharge power as the second charge and discharge duration.

[0159] Optionally, the processing module 92 is further configured to obtain, for each energy storage system, a preset limit value corresponding to the SOC at the end of charge and discharge of the energy storage system;

[0160] The processing module 92 is further used to determine whether the actual SOC of the energy storage system reaches the preset limit value during the process of charging and discharging the energy storage system;

[0161] The processing module 92 is further configured to keep charging and discharging the energy storage system if the actual SOC of the energy storage system does not reach the preset limit value;

[0162] The processing module 92 is further configured to stop charging and discharging the energy storage system if the actual SOC of the energy storage system has reached the preset limit.

[0163] The scheduling device for the energy storage system in the energy storage power station provided in this embodiment can execute the method provided in the above method embodiment, and its implementation principle and technical effect are similar, which will not be described in detail in this embodiment.

[0164] Fig.10 This is a schematic diagram of the structure of the electronic device provided in this application. Fig.10 As shown, the electronic device 50 provided in this embodiment includes: at least one processor 501 and a memory 502. Optionally, the device 50 also includes a communication component 503. The processor 501, the memory 502 and the communication component 503 are connected via a bus 504.

[0165] In a specific implementation process, at least one processor 501 executes the computer-executable instructions stored in the memory 502, so that at least one processor 501 executes the above method.

[0166] The specific implementation process of the processor 501 can be found in the above method embodiment, and its implementation principle and technical effect are similar, so this embodiment will not be repeated here.

[0167] In the above embodiments, it should be understood that the processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. A general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in the invention can be directly implemented as a hardware processor, or can be implemented by a combination of hardware and software modules in the processor.

[0168] The memory may include a high-speed memory (Random Access Memory, RAM), and may also include a non-volatile memory (NVM), such as at least one disk storage.

[0169] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the bus in the drawings of this application is not limited to only one bus or one type of bus.

[0170] The present application also provides a computer program product, including a computer program, which implements the above method when executed by a processor.

[0171] The present application also provides a computer-readable storage medium, in which computer-executable instructions are stored. When a processor executes the computer-executable instructions, the above method is implemented.

[0172] The above-mentioned readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The readable storage medium can be any available medium that can be accessed by a general or special-purpose computer.

[0173] An exemplary readable storage medium is coupled to a processor so that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can be located in an application specific integrated circuit (Application Specific Integrated Circuits, referred to as: ASIC). Of course, the processor and the readable storage medium can also exist in the device as discrete components.

[0174] The division of units is only a logical function division, and there may be other divisions in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.

[0175] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0176] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0177] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0178] Those skilled in the art can understand that all or part of the steps of implementing the above-mentioned method embodiments can be completed by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the aforementioned storage medium includes: ROM, RAM, disk or optical disk and other media that can store program codes.

[0179] Finally, it should be noted that those skilled in the art will readily conceive of other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. The present invention is intended to cover any variations, uses or adaptations of the present invention, which follow the general principles of the present invention and include common knowledge or customary technical means in the art not disclosed by the present invention, are not limited to the precise structure described above and shown in the drawings, and may be modified and changed in various ways without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A method for dispatching an energy storage system in an energy storage power station, characterized in that: The energy storage power station includes multiple energy storage systems. The method is applied to the service end and includes: Obtaining an original planned scheduling curve, a rated power and operating data corresponding to each energy storage system, wherein the original planned scheduling curve includes an original charging and discharging power; For each energy storage system, based on the operating data corresponding to the energy storage system, the actual charge and discharge amount, the SOC at the end of charge and discharge, the representative value of the SOC at the end of charge and discharge, and the change in SOC corresponding to the energy storage system are obtained; For each energy storage system, based on the actual charge and discharge amount, rated capacity and SOC change of the energy storage system, the SOH of the energy storage system is obtained; For each energy storage system, the remaining available power corresponding to the energy storage system is obtained according to the SOH, rated power and SOC representative value of the energy storage system at the end of charge and discharge; The actual charge and discharge capacity and the remaining available power of each energy storage system in the energy storage power station are summed to obtain the optimized total charge and discharge capacity of the energy storage power station; Determine the optimized charging and discharging power; Determining a first charge and discharge duration and a second charge and discharge duration based on the SOC representative value, the original charge and discharge power, and the optimized charge and discharge power at the charge and discharge end; The charge and discharge power is maintained at the original charge and discharge power for the first charge and discharge time and then reduced to the optimized charge and discharge power, and the charge and discharge power is maintained at the optimized charge and discharge power for the second charge and discharge time and then reduced to zero, so as to obtain an optimized planned scheduling curve; The optimized planned dispatching curve is output to a control device, so that the control device completes the dispatching of the energy storage system in the energy storage power station based on the optimized planned dispatching curve.

2. The method according to claim 1, characterized in that For each energy storage system, the SOH of the energy storage system is obtained based on the actual charge and discharge amount, rated power and SOC change of the energy storage system, including: Obtaining a first product of the rated power and a change in SOC; The actual charge and discharge amount of the energy storage system is compared with the first product to obtain the SOH of the energy storage system.

3. The method according to claim 1, characterized in that The remaining available power includes the remaining chargeable power and the remaining dischargeable power; Accordingly, for each energy storage system, the remaining available power corresponding to the energy storage system is obtained according to the SOH, rated power and the SOC representative value at the end of charge and discharge of the energy storage system, including: Obtaining a first difference between the SOC representative value at the end of charge and discharge and 1; Determine the remaining chargeable capacity of the energy storage system by multiplying the SOH of the energy storage system by a second product of the rated capacity and the first difference; The remaining dischargeable capacity corresponding to the energy storage system is determined as the third product of the SOH of the energy storage system, the rated capacity, and the SOC representative value at the end of the charge and discharge.

4. The method according to claim 1, characterized in that: The step of determining the optimized charging and discharging power comprises: Obtain the maximum SOC and minimum SOC at the end of charge and discharge corresponding to each energy storage system; Based on the maximum SOC and the minimum SOC of the charging and discharging terminals corresponding to each energy storage system, determining the proportion of the SOC representative value that does not exceed the charging and discharging terminal; A fourth product of the original charge and discharge power and the proportion is determined as the optimized charge and discharge power.

5. The method according to claim 1, characterized in that The determining of the first charge and discharge duration and the second charge and discharge duration based on the SOC representative value, the original charge and discharge power, and the optimized charge and discharge power at the charge and discharge terminal includes: Determining the first charge and discharge duration and the first total charge and discharge amount based on the SOC representative value at the charge and discharge end and the original charge and discharge power; Obtaining a second difference between the optimized total charge and discharge capacity and the first total charge and discharge capacity, and determining the second difference as a second total charge and discharge capacity; The ratio between the second total charge and discharge amount and the optimized charge and discharge power is determined as the second charge and discharge duration.

6. The method according to any one of claims 1 to 5, characterized in that: Also includes: For each energy storage system, obtaining a preset limit value corresponding to the SOC at the end of charge and discharge of the energy storage system; Determining whether the actual SOC of the energy storage system reaches the preset limit value during the process of charging and discharging the energy storage system; If the actual SOC of the energy storage system does not reach the preset limit, then keep charging and discharging the energy storage system; If the actual SOC of the energy storage system has reached the preset limit, charging and discharging of the energy storage system is stopped.

7. A dispatching device for an energy storage system in an energy storage power station, characterized in that: The energy storage power station includes multiple energy storage systems. The device is applied to the service end and includes: An acquisition module is used to acquire an original planned scheduling curve, a rated power and operation data corresponding to each energy storage system, wherein the original planned scheduling curve includes an original charging and discharging power; A processing module, for obtaining, for each energy storage system, the actual charge and discharge amount, the SOC at the charge and discharge end, the SOC representative value at the charge and discharge end, and the SOC change amount corresponding to the energy storage system based on the operation data corresponding to the energy storage system; The processing module is further used to obtain the SOH of each energy storage system based on the actual charge and discharge amount, rated power and SOC change of the energy storage system; The processing module is further used to obtain, for each energy storage system, the remaining available power corresponding to the energy storage system according to the SOH, rated power and SOC representative value of the energy storage system at the end of charge and discharge; The processing module is further used to sum the actual charge and discharge capacity and the remaining available power corresponding to each energy storage system in the energy storage power station to obtain the optimized total charge and discharge capacity corresponding to the energy storage power station; The processing module is also used to determine the optimized charging and discharging power; The processing module is further used to determine the first charge and discharge duration and the second charge and discharge duration based on the SOC representative value at the charge and discharge end, the original charge and discharge power, and the optimized charge and discharge power; The processing module is further used to reduce the charge and discharge power to the optimized charge and discharge power after maintaining the first charge and discharge time at the original charge and discharge power, and reduce the charge and discharge power to zero after maintaining the second charge and discharge time at the optimized charge and discharge power, so as to obtain an optimized planned scheduling curve; The processing module is also used to output the optimized planned scheduling curve to the control device, so that the control device completes the scheduling of the energy storage system in the energy storage power station based on the optimized planned scheduling curve.

8. A computer device, characterized in that: include: Memory, processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory, so that the processor performs the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 6 when executed by a processor.

10. A computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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