Energy storage control method, device and system, storage medium and program product

Abstract

The invention relates to an energy storage control method, device and system, a storage medium and a program product. The method is applied to a control system in a power management system, and comprises the following steps: determining an operation power instruction of an energy storage system according to power demands of the energy storage system in a power demand scene and an energy demand scene; and controlling the output of the energy storage system based on the operation power instruction of the energy storage system according to the operation constraint strategy. According to the invention, the energy storage system can meet the performance requirements of operation in a power demand scene and an energy demand scene at the same time, and the utilization efficiency of the energy storage system is improved.

Description

Technical Field

[0001] The present application relates to the technical field of power systems, and in particular to an energy storage control method, device, system, storage medium and program product. Background Art

[0002] With the development of new energy power system technology, energy storage systems are widely used in new energy consumption due to their flexible configuration and rapid response.

[0003] However, traditional energy storage control methods can only enable the energy storage system to meet single demand scenarios such as fluctuation smoothing. When the output of new energy stations is relatively stable, the energy storage system is often idle, resulting in reduced utilization efficiency of the energy storage system. Summary of the invention

[0004] Based on this, it is necessary to provide an energy storage control method, device, system, storage medium and program product that can improve the utilization efficiency of the energy storage system in response to the above technical problems.

[0005] In a first aspect, in one embodiment, the present application provides an energy storage control method, which is applied to a control system in a power management system; the power management system also includes an energy storage system, a grid-connected bus, and a power system; the energy storage system is connected to the grid-connected bus, and the grid-connected bus is connected to the power system; the method includes:

[0006] Determine the operating power command of the energy storage system according to the power demand of the energy storage system in the power demand scenario and energy demand scenario; the power demand scenario indicates that the energy storage system has the target power response capability; the energy demand scenario indicates that the energy storage system has the target capacity of energy storage;

[0007] According to the operation constraint strategy, based on the operation power instruction of the energy storage system, the output of the energy storage system is controlled; the operation constraint strategy is determined based on the energy state of the energy storage system and the control cycle of the energy storage system.

[0008] In one embodiment, the power management system further includes a new energy station, which is connected to a grid-connected bus; and according to the power demand of the energy storage system in a power demand scenario and an energy demand scenario, determining an operating power instruction of the energy storage system includes:

[0009] Based on the output of the new energy station, and according to the power demand of the energy storage system in the power demand scenario, a first power instruction is determined;

[0010] Based on the operation of the power system, determining a second power instruction according to the power demand of the energy storage system in the energy demand scenario;

[0011] An operating power instruction of the energy storage system is determined according to the first power instruction and the second power instruction.

[0012] In one embodiment, based on the output of the new energy station and according to the power demand of the energy storage system in the power demand scenario, determining the first power instruction includes:

[0013] The first power instruction is determined according to the total output of the new energy station and the output of the new energy station after power fluctuations are smoothed.

[0014] In one embodiment, the operation status of the power system includes the load status of the power system; the load status includes the planned load and the actual load of the power system; based on the operation status of the power system and according to the power demand of the energy storage system in the energy demand scenario, determining the second power instruction includes:

[0015] A second power instruction is determined according to the planned load and the actual load of the power system.

[0016] In one embodiment, according to the operation constraint strategy, based on the operation power instruction of the energy storage system, the output of the energy storage system is controlled, including:

[0017] Based on the operating power command, the rated power of the energy storage system and the energy state of the energy storage system, the actual output of the energy storage system is controlled by using the preset constraint relationship; the preset constraint relationship is as follows:

[0018]

[0019] in, is the actual output of the energy storage system after constraints at time t, is the rated power of the energy storage system, for The energy state of the energy storage system at all times, is the upper bound of the energy constraint of the energy storage system, is the lower bound of the energy constraint of the energy storage system, is the control period of the energy storage system, It is the operating power instruction.

[0020] In a second aspect, in one embodiment, the present application provides an energy storage control device, which is applied to a control system in a power management system; the power management system also includes an energy storage system, a grid-connected bus, and a power system; the energy storage system is connected to the grid-connected bus, and the grid-connected bus is connected to the power system; the device includes:

[0021] The power instruction determination module is used to determine the operating power instruction of the energy storage system according to the power demand of the energy storage system in the power demand scenario and the energy demand scenario; the power demand scenario indicates that the energy storage system has the target power response capability; the energy demand scenario indicates that the energy storage system has the target capacity of energy storage;

[0022] The output control module is used to control the output of the energy storage system based on the operating power instruction of the energy storage system according to the operating constraint strategy; the operating constraint strategy is determined based on the energy state of the energy storage system and the control cycle of the energy storage system.

[0023] In a third aspect, in one embodiment, the present application provides a control system including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps in each method embodiment of the above-mentioned first aspect when executing the computer program.

[0024] In a fourth aspect, in one embodiment, the present application provides a power management system, including the control system as described in the above system embodiment, wherein the power management system further includes an energy storage system, a grid-connected bus, a power system, and a new energy station;

[0025] The energy storage system and new energy stations are connected to the grid-connected bus; the grid-connected bus is connected to the power system;

[0026] The control system is connected to the energy storage system, power system and new energy station respectively.

[0027] In a fifth aspect, in one embodiment, the present application provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps in each method embodiment of the above-mentioned first aspect are implemented.

[0028] In a sixth aspect, in one embodiment, the present application provides a computer program product, including a computer program, which implements the steps in the method embodiments of the above-mentioned first aspect when the computer program is executed by a processor.

[0029] The above energy storage control method, device, system, storage medium and program product can determine the operating power instruction of the energy storage system according to the power demand of the energy storage system in the power demand scenario and the energy demand scenario, and then control the output of the energy storage system based on the operating power instruction of the energy storage system according to the operation constraint strategy. Through the above method, the present application can enable the energy storage system to meet the performance requirements of operating in both the power demand scenario and the energy demand scenario, thereby improving the utilization efficiency of the energy storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0031] Figure 1 An application environment diagram of an energy storage control method in an embodiment;

[0032] Figure 2 A schematic diagram of a flow chart of an energy storage method in one embodiment;

[0033] Figure 3 A schematic diagram of the structure of a power management system in one embodiment;

[0034] Figure 4 A schematic diagram of a process for determining an operating power instruction in one embodiment;

[0035] Figure 5 A schematic diagram of an energy state curve of a constrained energy storage system in one embodiment;

[0036] Figure 6 is a structural block diagram of an energy storage control device in one embodiment;

[0037] Figure 7 is an internal structure diagram of a control system in one embodiment;

[0038] Figure 8 This is a diagram of the internal structure of a power management system in another embodiment. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0040] It should be noted that when a unit module is considered to be "connected" to another unit module, it can be directly connected to another unit module, or connected to another unit module through an intermediate element. In addition, the "connection" in the following embodiments should be understood as "electrical connection", "communication connection", etc. if there is transmission of electrical signals or data between the connected objects.

[0041] Due to the intermittent, random and volatile characteristics of renewable energy output, it is difficult to effectively absorb it, which brings many challenges to the operation of the power system. In recent years, energy storage systems have been widely used in the field of renewable energy consumption due to their flexible configuration and rapid response. The capacity of the energy storage system supporting the grid-connected renewable energy station is generally 10% to 20% of the installed capacity of the station, and the continuous energy storage time of the energy storage facility is generally not less than 2 hours.

[0042] Although the supporting construction of energy storage systems provides effective technical support for the consumption of new energy, traditional energy storage control methods can only apply energy storage systems to single scenarios such as smoothing new energy fluctuations, tracking new energy output, or assisting new energy in frequency regulation in different time periods, which fails to fully exert the effectiveness of energy storage systems.

[0043] The energy storage control method provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. Among them, the power management system 110 includes a control system 108, an energy storage system 102, a grid-connected bus 106 and a power system 104; the energy storage system 102 is connected to the grid-connected bus 106, and the grid-connected bus 106 is connected to the power system 104; the control system 108 is respectively connected to the energy storage system 102 and the power system 104. Furthermore, the control system 108 can be configured on a server, and the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services. It should be noted that the solid lines connecting the modules in the figure represent power transmission lines, while the dotted lines represent the transmission of power and / or energy state of charge (SOC) signals.

[0044] In one embodiment, Figure 2 As shown, the present application provides an energy storage control method, which is applied to a control system in a power management system; the method includes the following steps S202 to S204. Among them:

[0045] Step S202: determining an operating power instruction of the energy storage system according to the power demand of the energy storage system in a power demand scenario and an energy demand scenario.

[0046] Among them, the power demand scenario can indicate that the energy storage system has the target power response capability; the energy demand scenario can indicate that the energy storage system has the target capacity of energy storage.

[0047] It should be noted that the energy storage system can be charged using the power generated by the new energy station and adjust its actual operating power based on the received operating power command. Optionally, the new energy station for charging the energy storage system may include a new energy power plant such as a wind farm and a hydropower plant, which is not specifically limited in the embodiments of the present application.

[0048] Specifically, the control system can obtain the power demand of the energy storage system in the power demand scenario and the power demand in the energy demand scenario respectively, and determine the operating power instructions that need to be sent to the energy storage system based on the power demand scenario and the energy demand scenario.

[0049] For example, in a power demand scenario, the energy storage system is required to have a fast power response capability, that is, the target power response capability of the energy storage system needs to reach a preset performance threshold to meet the performance requirements of the energy storage system to perform power regulation tasks such as new energy fluctuation smoothing, interconnection line power fluctuation smoothing or grid frequency regulation.

[0050] Furthermore, energy demand scenarios refer to scenarios that require energy storage systems to have a large power capacity, such as peak shaving and valley filling, peak-valley arbitrage, and other application scenarios. It can be understood that in energy demand scenarios, the target capacity of the energy storage system needs to meet the preset capacity threshold, and the output of the energy storage system is stable, and the operating power will not change significantly.

[0051] Step S204: controlling the output of the energy storage system according to the operation constraint strategy and based on the operation power instruction of the energy storage system.

[0052] Among them, the operation constraint strategy can be determined based on the energy state of the energy storage system and the control cycle of the energy storage system. Exemplarily, the operation constraint strategy can be a preset constraint condition constructed according to the energy state of the energy storage system and the control cycle of the energy storage system. In practical applications, from the perspective of energy management and control, the energy variation range of the power demand scenario is not too large, and the control cycle of the energy storage system can be based on the energy demand scenario.

[0053] Specifically, the control system can control the output of the energy storage system based on the operating power instructions of the energy storage system according to the operating constraint strategy, so that the energy storage system can meet the performance requirements of operating in both power demand scenarios and energy demand scenarios, thereby effectively improving the utilization efficiency of the energy storage system.

[0054] The above energy storage control method can determine the operating power instructions that need to be sent to the energy storage system according to the power demand of the energy storage system in power demand scenarios and energy demand scenarios, and then control the output of the energy storage system based on the operating power instructions of the energy storage system according to the operating constraint strategy, so that the energy storage system meets the performance requirements of operating in both power demand scenarios and energy demand scenarios, effectively improving the utilization efficiency of the energy storage system.

[0055] In one embodiment, if Figure 3 As shown, the power management system 100 further includes a new energy station 110, which is connected to the grid-connected bus 106. Figure 4 As shown, according to the power demand of the energy storage system 102 in the power demand scenario and the energy demand scenario, determining the operating power instruction of the energy storage system 102 includes the following steps S402 to S406. Among them:

[0056] Step S402: Based on the output of the new energy station and the power demand of the energy storage system in the power demand scenario, a first power instruction is determined.

[0057] The first power instruction may refer to a power instruction for the energy storage system to independently meet the performance requirements of operating under a power demand scenario.

[0058] Exemplarily, the new energy station may include a new energy power plant such as a wind farm, a hydropower plant, etc. that can charge the energy storage system. Further, the output of the new energy station may be determined based on the planned output of the new energy station and the actual output of the new energy station.

[0059] Specifically, the control system can determine the current output of the new energy station based on the planned output of the new energy station and the actual output of the new energy station, and then further determine the first power instruction of the energy storage system based on the output of the new energy station and the power demand of the energy storage system under the power demand scenario.

[0060] Step S404: determining a second power instruction based on the operation status of the power system and the power demand of the energy storage system in an energy demand scenario.

[0061] The second power instruction may refer to a power instruction for the energy storage system to independently meet the performance requirements of operating under the energy demand scenario.

[0062] Exemplarily, the power system can be used to transmit the electric energy of the new energy station and the energy storage system through the transmission line, and finally transmit the electric energy to the load terminal of the power user. It can be understood that the operation of the power system can include the load condition and electricity price condition of the power system, etc., which is not limited in the embodiments of the present application.

[0063] For example, energy demand scenarios may include energy scenarios such as peak shaving and valley filling scenarios and peak-valley arbitrage scenarios. For example, in the peak shaving and valley filling scenario, the control system may determine the second power instruction based on the power system load, power output, or load peak-valley characteristics; in the peak-valley arbitrage scenario, the control system may determine the second power instruction based on the peak-valley situation of electricity prices.

[0064] Specifically, the control system can further determine the second power instruction of the energy storage system based on the operating conditions of the power system, such as the load conditions and electricity price conditions, and according to the power demand of the energy storage system in the energy demand scenario.

[0065] Step S406: Determine an operating power instruction of the energy storage system according to the first power instruction and the second power instruction.

[0066] The operating power instruction may refer to a power instruction actually sent by the control system to the energy storage system to control the energy storage system to adjust its actual operating power.

[0067] Specifically, the control system can calculate the power instruction that actually needs to be sent to the energy storage system based on the obtained first power instruction and the second power instruction.

[0068] Exemplarily, based on the first power instruction and the second power instruction, the operating power instruction of the energy storage system may be determined according to the following formula 1:

[0069] (Formula 1)

[0070] Among them, the power flow to the grid-connected bus is the positive direction, Indicates the power instruction of the energy storage system, Indicates the first power instruction (also called the power demand scenario power instruction), Represents the second power instruction (also called energy demand scenario power instruction).

[0071] In one embodiment, based on the output of the new energy station and according to the power demand of the energy storage system in the power demand scenario, determining the first power instruction includes the following steps:

[0072] The first power instruction is determined according to the total output of the new energy station and the output of the new energy station after power fluctuations are smoothed.

[0073] Among them, the total output of the new energy station can be determined by the total output of the generator sets in the station. It can be understood that due to the intermittent, random and volatile characteristics of current new energy power generation, the total output of the new energy station will actually have power fluctuations. In the power demand scenario, the first power instruction can be issued to the energy storage system to smooth the power fluctuations of the new energy station.

[0074] Specifically, the control system may determine a first power instruction for satisfying a power demand scenario based on the total output of the new energy station and the output of the new energy station after power fluctuations are smoothed.

[0075] For example, according to the following formula 2, the output of the power management system can be obtained:

[0076] (Formula 2)

[0077] in, Indicates the operating power instruction of the energy storage system (corresponding to the output of the energy storage system when charging or discharging). is the total output of the generator set of the new energy station, In order to smooth the output of new energy stations after power fluctuations, It is a power command issued to the energy storage system in energy demand scenarios (such as peak shaving and valley filling, peak-valley arbitrage, etc.).

[0078] Furthermore, the above formula 2 can be transformed into the following formula 3:

[0079] (Formula 3)

[0080] in, The power command issued by the control system to the energy storage system in the scenario of smoothing the fluctuation of new energy, that is, the first power command corresponding to the energy storage system in the power demand scenario .

[0081] In one embodiment, the operation status of the power system includes the load status of the power system; the load status includes the planned load and the actual load of the power system; based on the operation status of the power system and according to the power demand of the energy storage system in the energy demand scenario, determining the second power instruction includes the following steps:

[0082] A second power instruction is determined according to the planned load and the actual load of the power system.

[0083] The planned load and actual load of the power system can be obtained according to the planned load curve and actual load curve of the power system monitored and collected by the control system.

[0084] Specifically, in the peak shaving and valley filling scenario, the control system can determine the planned load and actual load of the current power system based on the planned load curve and actual load curve of the monitored and collected power system, and thus can determine the second power instruction that needs to be issued to the energy storage system to meet the energy demand scenario based on the planned load and actual load of the current power system.

[0085] For example, based on the planned load and actual load of the power system, the second power instruction of the energy storage system can be calculated according to the following formula 4:

[0086] (Formula 4)

[0087] in, is the second power instruction, is the planned load of the power system, is the actual load of the power system.

[0088] In one embodiment, according to the operation constraint strategy, based on the operation power instruction of the energy storage system, the output of the energy storage system is controlled, including:

[0089] Based on the operating power instruction, the rated power of the energy storage system and the energy state of the energy storage system, the actual output of the energy storage system is controlled using the preset constraint relationship.

[0090] In some examples, the preset constraint relationship is shown in the following formula 5:

[0091] (Formula 5)

[0092] in, is the actual output of the energy storage system after constraints at time t, is the rated power of the energy storage system, for The energy state of the energy storage system at all times, is the upper bound of the energy constraint of the energy storage system, is the lower bound of the energy constraint of the energy storage system, is the control period of the energy storage system, It is the operating power instruction.

[0093] Exemplarily, the energy constraint upper bound and the energy constraint lower bound of the energy storage system may be determined according to the control requirements for the energy state of the energy storage system in a composite scenario of an energy demand scenario and a power demand scenario.

[0094] Specifically, the control system can constrain the actual output of the energy storage system based on preset constraint relationships according to the rated power of the energy storage system, the current energy state of the energy storage system, the upper limit of the energy constraint of the energy storage system, the lower limit of the energy constraint of the energy storage system, the operating power instructions of the energy storage system, and the control cycle of the energy storage system.

[0095] In order to make the purpose, technical solutions and advantages of the embodiments of the present application more clear, the following Figure 5 And embodiments, the present application is further described in detail.

[0096] In one possible implementation, Figure 5 As shown, Figure 5 Schematic diagram of the energy state of the energy storage system. Figure 5 It contains two parts of line graphs. The upper part of the line graph is used to represent the operation of the power system under the energy demand scenario, such as the load or electricity price of the power system in different time periods; the lower part of the line graph is used to represent the energy state of the energy storage system in different time periods. Among them, the green curve represents the energy state of the energy storage system at the corresponding moment; the orange area reflects the energy constraint range of the preset constraint relationship, which can be called the coupling scenario energy control area; the blue-gray area is the buffer area that only needs to meet the power demand scenario, which can be called the power demand scenario buffer.

[0097] It can be understood that the green curve is essentially the initial energy state of the energy storage system minus Integrating over time, the slope of the green curve corresponds to the actual output of the energy storage system after the constraint. The upper and lower boundaries of the orange area correspond to the upper bounds of the energy constraints of the energy storage system under the control of the composite scenario. And the energy constraint lower bound Among them, the upper bound of energy constraint is and energy constraint lower bound It can be determined based on the control requirements for the energy state of the energy storage system in a composite scenario of energy demand scenario and power demand scenario.

[0098] Furthermore, energy demand scenarios may include peak shaving and valley filling scenarios and peak-valley arbitrage scenarios. Among them, in the peak shaving and valley filling scenario, the time period from t0 to t2 corresponds to the load valley of the power system, the time period from t2 to t3 is the state transition period of the power system, and t3 to t5 is the load peak of the power system; in the peak-valley arbitrage scenario, the time period from t0 to t2 corresponds to the electricity price valley of the power system, the time period from t2 to t3 is the state transition period of the power system, and t3 to t5 is the electricity price peak of the power system. It can be understood that the energy storage system as a whole is in a charging state during the load valley or the electricity price valley, and the energy storage system as a whole is in a discharging state during the load peak or the electricity price peak.

[0099] It should be noted that in actual applications, load valley and electricity price valley may not belong to the same period, and load peak and electricity price peak may not belong to the same period. Figure 5 The time period division of the power system operation conditions shown is only an exemplary division method for easy understanding and does not constitute a limitation to the embodiments of the present application.

[0100] Specifically, when the energy state curve (green curve) of the energy storage system is within the coupled scenario energy control area (orange area), the energy storage system can participate in both the power demand scenario and the energy demand scenario, and the energy storage system also meets the constraints of the rated power. It can be understood that in the coupled scenario energy control area, the constrained energy storage system can achieve sufficient discharge and charging capacity at the initial moment of valley filling and peak shaving of the power system, and can also perform power regulation tasks such as power fluctuation smoothing, interconnection line power fluctuation smoothing or grid frequency regulation, thereby achieving the performance requirements of the energy storage system for both the energy demand scenario and the power demand scenario.

[0101] Furthermore, the power demand scenario buffer has a smaller range and can be used as a backup area to meet power demand scenarios. Figure 5In the time periods [t0, t1], [t0, t1] and [t4, t5] shown, the energy storage system is usually in a higher energy state or a lower energy state, but the energy state of the energy storage system has not yet reached the upper or lower limit of the energy state. It can be understood that the energy storage system in the power demand scenario during these time periods usually has frequent charging and discharging characteristics, and the overall energy state variation range is small. At this time, the control system can instruct the energy storage system to reserve part of the capacity to meet the performance requirements of the energy storage system for the power demand scenario, that is, a power demand scenario buffer with a certain energy storage capacity is set to meet the needs of the power demand scenario. It should be noted that the width setting range of the power demand scenario buffer can be flexibly set according to the actual application situation, and this application does not impose specific restrictions on it.

[0102] Optionally, a safety control area (i.e. Figure 5 The area within the green dashed line in the figure), there is redundant space between the boundary of the safety control area and the boundary of the coupling scenario energy control area, and the redundant space can be flexibly set according to the application requirements of the energy storage system. It can be understood that when the energy storage system is operating normally, the energy state of the energy storage system is restricted to the safety control area (within the green dashed box) based on the preset constraint relationship. Since there is a certain redundant range between the boundary of the safety control area and the boundary of the coupling scenario energy control area, the robustness of the energy storage system operation can be effectively improved.

[0103] It can be understood that, for any given application scenario, the present application can realize energy control and output coordination of the energy storage system in multiple scenarios under the premise of satisfying the operation constraints of the energy storage system (i.e., the preset constraint relationship).

[0104] In addition, this application is constrained from the perspective of energy storage system operation and proposed from the perspective of energy management in multiple scenarios, which is universal. For different composite application scenarios, coupling can be achieved by setting energy management targets (i.e., preset constraint relationships).

[0105] Furthermore, the present application is also applicable to the control of distributed energy storage systems in coupling scenarios. The preset constraint relationships corresponding to each energy storage system can be set according to actual demand conditions, and energy coordination control strategies can be adaptively added between the energy storage systems, thereby alleviating the operating pressure when one of the energy storage systems approaches the boundary of the energy management area of ​​the coupling scenario.

[0106] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0107] Based on the same inventive concept, the embodiment of the present application also provides an energy storage control device for implementing the energy storage control method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more energy storage control device embodiments provided below can refer to the limitations of the energy storage control method above, and will not be repeated here.

[0108] In an exemplary embodiment, Figure 6 As shown, an energy storage control device 600 is provided, which is applied to a control system in a power management system; the power management system also includes an energy storage system, a grid-connected bus and a power system; the energy storage system is connected to the grid-connected bus, and the grid-connected bus is connected to the power system; the device 600 includes:

[0109] The power instruction determination module 602 is used to determine the operating power instruction of the energy storage system according to the power demand of the energy storage system under the power demand scenario and the energy demand scenario; the power demand scenario indicates that the energy storage system has the target power response capability; the energy demand scenario indicates that the energy storage system has the target capacity of energy storage;

[0110] The output control module 604 is used to control the output of the energy storage system according to the operation constraint strategy and based on the operation power instruction of the energy storage system; the operation constraint strategy is determined based on the energy state of the energy storage system and the control cycle of the energy storage system.

[0111] In one embodiment, the power management system further includes a new energy station, which is connected to the grid-connected bus; the power instruction determination module 602 is further used to:

[0112] Based on the output of the new energy station, and according to the power demand of the energy storage system in the power demand scenario, a first power instruction is determined;

[0113] Based on the operation of the power system, determining a second power instruction according to the power demand of the energy storage system in the energy demand scenario;

[0114] An operating power instruction of the energy storage system is determined according to the first power instruction and the second power instruction.

[0115] In one embodiment, the power instruction determination module 602 is further configured to:

[0116] The first power instruction is determined according to the total output of the new energy station and the output of the new energy station after power fluctuations are smoothed.

[0117] In one embodiment, the operation status of the power system includes the load status of the power system; the load status includes the planned load and the actual load of the power system; the power instruction determination module 602 is further used to:

[0118] A second power instruction is determined according to the planned load and the actual load of the power system.

[0119] In one embodiment, the output control module 604 is further configured to:

[0120] Based on the operating power command, the rated power of the energy storage system and the energy state of the energy storage system, the actual output of the energy storage system is controlled by using the preset constraint relationship; the preset constraint relationship is as follows:

[0121]

[0122] in, is the actual output of the energy storage system after constraints at time t, is the rated power of the energy storage system, for The energy state of the energy storage system at all times, is the upper bound of the energy constraint of the energy storage system, is the lower bound of the energy constraint of the energy storage system, It is the operating power instruction.

[0123] Each module in the above energy storage control device can be implemented in whole or in part by software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each module.

[0124] In an exemplary embodiment, a control system is provided, which may include a server, and its internal structure diagram may be as follows: Figure 7As shown. The control system includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the control system is used to provide computing and control capabilities. The memory of the control system includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the control system is used to store energy status data of the energy storage system, output data of the new energy station or load data of the power system. The input / output interface of the control system is used to exchange information between the processor and the external device. The communication interface of the control system is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for energy storage control is implemented.

[0125] Those skilled in the art will understand that Figure 7 The structure shown in the figure is only a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the control system to which the scheme of the present application is applied. The specific control system may include more or fewer unit modules than shown in the figure, or combine certain unit modules, or have a different unit module arrangement.

[0126] In one embodiment, a control system is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0127] In one embodiment, Figure 8 As shown, the present application provides a power management system 100, including a control system 108 as described in the above system embodiment, and the power management system 100 also includes an energy storage system 102, a grid-connected bus 106, a power system 104 and a new energy station 110;

[0128] The energy storage system 102 and the new energy station 110 are connected to the grid-connected bus 106 ; the grid-connected bus 106 is connected to the power system 104 ;

[0129] The control system 108 is connected to the energy storage system 102 , the power system 104 and the new energy station 110 respectively.

[0130] Exemplarily, the energy storage system 102 and the new energy station 110 can be connected to the grid-connected bus 106 through the energy storage converter 112 (Power Conversion System, PCS). The energy storage converter 112 is composed of components such as a DC / AC bidirectional converter and a control unit, and can be used for AC / DC conversion and the process of regulating the charging or discharging of the system, and can also directly supply power to the system's AC load in the absence of a power grid. Furthermore, the control unit of the energy storage converter 112 obtains control instructions through a communication connection, and can control the converter to charge or discharge the battery of the energy storage system 102 according to the power instruction, thereby realizing the regulation of the active power and reactive power of the power grid.

[0131] Specifically, new energy stations generally operate in the maximum power point tracking mode (Maximum Power Point Tracking, MPPT). The energy storage inverter between the new energy station and the grid-connected bus can be used to transmit the power information on the new energy station side, and the energy storage inverter between the energy storage system and the grid-connected bus can be used to execute the operation constraint strategy to manage the energy of the energy storage system, so that the energy storage system can meet the performance requirements of operating in both power demand scenarios and energy demand scenarios, effectively improving the utilization efficiency of the energy storage system.

[0132] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0133] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0134] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0135] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0136] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for controlling energy storage, characterized in that: A control system applied to a power management system; the power management system further comprises an energy storage system, a grid-connected bus and a power system; the energy storage system is connected to the grid-connected bus, and the grid-connected bus is connected to the power system; The control system is connected to the energy storage system and the power system respectively; the method comprises: Determine the operating power instruction of the energy storage system according to the power demand of the energy storage system in the power demand scenario and the energy demand scenario; the power demand scenario indicates that the energy storage system has the target power response capability; the energy demand scenario indicates that the energy storage system has the target capacity energy storage capability; According to an operation constraint strategy, based on the operation power instruction of the energy storage system, the output of the energy storage system is controlled; the operation constraint strategy is determined based on the energy state of the energy storage system and the control period of the energy storage system.

2. The method according to claim 1, characterized in that: The power management system further includes a new energy station, which is connected to the grid-connected bus; Determining an operating power instruction of the energy storage system according to the power demand of the energy storage system in a power demand scenario and an energy demand scenario includes: Based on the output of the new energy station and the power demand of the energy storage system in the power demand scenario, determining a first power instruction; Based on the operation of the power system, determining a second power instruction according to the power demand of the energy storage system in the energy demand scenario; An operating power instruction of the energy storage system is determined according to the first power instruction and the second power instruction.

3. The method according to claim 2, characterized in that Based on the output of the new energy station and according to the power demand of the energy storage system in the power demand scenario, determining a first power instruction includes: The first power instruction is determined according to the total output of the new energy station and the output of the new energy station after power fluctuation is smoothed.

4. The method according to claim 2, characterized in that: The operation status of the power system includes the load status of the power system; the load status includes the planned load and actual load of the power system; Based on the operation of the power system and according to the power demand of the energy storage system in the energy demand scenario, determining a second power instruction includes: The second power instruction is determined according to the planned load and the actual load of the power system.

5. The method according to claim 2, characterized in that: According to the operation constraint strategy, based on the operation power instruction of the energy storage system, the output of the energy storage system is controlled, including: Based on the operating power instruction, the rated power of the energy storage system and the energy state of the energy storage system, the actual output of the energy storage system is controlled by using a preset constraint relationship; the preset constraint relationship is as follows: in, is the actual output of the energy storage system after the constraint at time t, is the rated power of the energy storage system, for The energy state of the energy storage system at the moment, is the upper bound of the energy constraint of the energy storage system, is the lower bound of the energy constraint of the energy storage system, is the control period of the energy storage system, is the operating power instruction.

6. An energy storage control device, characterized in that: A control system applied to a power management system; the power management system further comprises an energy storage system, a grid-connected bus and a power system; the energy storage system is connected to the grid-connected bus, and the grid-connected bus is connected to the power system; The control system is connected to the energy storage system and the power system respectively; the device comprises: A power instruction determination module is used to determine the operating power instruction of the energy storage system according to the power demand of the energy storage system in a power demand scenario and an energy demand scenario; the power demand scenario indicates that the energy storage system has a target power response capability; the energy demand scenario indicates that the energy storage system has a target capacity of energy storage; The output control module is used to control the output of the energy storage system based on the operating power instruction of the energy storage system according to the operating constraint strategy; the operating constraint strategy is determined based on the energy state of the energy storage system and the control period of the energy storage system.

7. A control system comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 5 are implemented.

8. A power management system, characterized in that: Including the control system as claimed in claim 7, the power management system also includes an energy storage system, a grid-connected bus, a power system and a new energy station; The energy storage system and the new energy station are connected to the grid-connected bus; The grid-connected busbar is connected to the power system; The control system is respectively connected to the energy storage system, the power system and the new energy station.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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