Energy storage power station system and control method, equipment, storage medium and program product

Abstract

The embodiment of the present application provides an energy storage power station system and control method, device, storage medium and program product, the method comprising: obtaining a preset relationship expression corresponding to an error parameter, and iteratively updating the preset relationship expression to obtain an optimal error parameter as a target error parameter of the energy storage power station system, the target error parameter is used to indicate the error between the actual power parameter and the theoretical power parameter of the energy storage power station system; obtaining the theoretical power parameter of the energy storage power station system, and determining the actual power parameter of the energy storage power station system according to the target error parameter and the theoretical power parameter; determining the target multiple value of the energy storage power station system according to the actual power parameter and the energy storage capacity of the energy storage power station system; charging or discharging the energy storage power station system according to the target multiple value. In the present application, the control accuracy of the energy storage power station system is ensured to be high.

Description

Technical Field

[0001] The present application relates to the field of image processing technology, and in particular to an energy storage power station system and control method, equipment, storage medium and program product. Background Art

[0002] The energy storage power station system can adjust the power generation frequency of its own energy storage unit so that the power generation frequency of the energy storage unit can be maintained within the set range.

[0003] In the exemplary technology, the parameters of the energy storage power station system are adjusted manually. When the technician is not experienced enough or the technician makes calculation errors, it will cause large errors in the discharge or charging of the energy storage power station system, that is, there is a problem of low control accuracy of the energy storage power station system. Summary of the invention

[0004] The embodiments of the present application provide an energy storage power station system and a control method, device, storage medium and program product to solve the problem of low control accuracy of the energy storage power station system.

[0005] In a first aspect, an embodiment of the present application provides a control method for an energy storage power station system, including:

[0006] Obtaining a preset relational expression corresponding to the error parameter, and iteratively updating the preset relational expression to obtain an optimal error parameter as a target error parameter of the energy storage power station system, wherein the target error parameter is used to indicate an error between an actual power parameter and a theoretical power parameter of the energy storage power station system;

[0007] Obtaining theoretical power parameters of the energy storage power station system, and determining actual power parameters of the energy storage power station system according to the target error parameters and the theoretical power parameters;

[0008] Determining a target multiplier value of the energy storage power station system according to the actual power parameter and the energy storage capacity of the energy storage power station system;

[0009] The energy storage power station system is charged or discharged according to the target rate value.

[0010] In this embodiment, the actual power parameters of the energy storage power station system are determined by the target error parameters and the theoretical power parameters of the energy storage power station system, and then the target multiple value of the energy storage power station system is determined based on the actual power parameters and the energy storage capacity of the energy storage power station system, so that the energy storage power station system is charged or discharged based on the target multiple value, so that the energy storage power station system is charged or discharged within a given error, ensuring that the control accuracy of the energy storage power station system is high.

[0011] In some embodiments, obtaining the theoretical power parameters of the energy storage power station system includes:

[0012] Obtaining a first energy parameter corresponding to the power output by the energy storage power station system per unit time, and obtaining a target efficiency parameter of the energy storage power station system, wherein the target efficiency parameter is used to indicate a charging efficiency parameter or a discharging efficiency parameter of the energy storage power station system;

[0013] Determining a second energy parameter of the energy storage power station system according to the first energy parameter and the target efficiency parameter, wherein the second energy parameter is used to indicate a charging energy parameter or a discharging energy parameter of the energy storage power station system;

[0014] The theoretical power parameter of the energy storage power station system is determined according to the second energy parameter and the unit time.

[0015] In this embodiment, the charging efficiency, discharging efficiency and energy parameters of the energy storage power station system are used to accurately determine the theoretical power parameters of the energy storage power station system, thereby ensuring that the energy storage power station system is charged or discharged within a given error.

[0016] In some embodiments, charging or discharging the energy storage power station system according to the target rate value includes:

[0017] Obtaining the current remaining power of the energy storage power station system;

[0018] Determining a third energy parameter of the power output by the energy storage power station system at the current time according to the target multiple value and the power station capacity of the energy storage power station system;

[0019] When the current remaining power is within the remaining power range, the target rate value is within the rate value range, and the third energy parameter is within the energy parameter range, the energy storage power station system is charged or discharged according to the target rate value.

[0020] In this embodiment, when the current remaining power, target rate value and energy parameters of the energy storage power station system are within the corresponding range, the energy storage power station system can be charged or discharged according to the target rate value, that is, the energy storage power station system is ensured to be charged or discharged under the constraint conditions to avoid damage to the energy storage power station system.

[0021] In some embodiments, after determining the third energy parameter of the power output by the energy storage power station system at the current time according to the target multiple value and the power station capacity of the energy storage power station system, the method further includes:

[0022] When the current remaining power exceeds the remaining power range, the target rate value exceeds the rate value range and / or the third energy parameter exceeds the energy parameter range, an alarm prompt message is output.

[0023] In this embodiment, if the current remaining power, target multiple value and energy parameter of the energy storage power station system exceed the corresponding range, an alarm prompt message is output, thereby prompting maintenance personnel to perform maintenance on the energy storage power station system in a timely manner.

[0024] In some embodiments, determining the target multiple value of the energy storage power station system according to the actual power parameter and the energy storage capacity of the energy storage power station system includes:

[0025] Determine an initial multiple value of the energy storage power station system according to the actual power parameter, the energy storage capacity of the energy storage power station system and a preset mapping relationship, wherein the preset mapping relationship is used to indicate the relationship between the actual power parameter, the energy storage capacity and the multiple value;

[0026] Obtaining a first economic parameter determined last time for the energy storage power station system;

[0027] The initial multiplier value is corrected according to the first economic parameter to obtain the target multiplier value.

[0028] In this embodiment, the initial rate value is optimized to obtain the target rate value through the economic parameters obtained by the last discharge or charge of the energy storage power station system. Under the premise of ensuring the control accuracy of the energy storage power station system, the economy of the energy storage power station system in this frequency modulation is also ensured to be better.

[0029] In some embodiments, after charging or discharging the energy storage power station system according to the target rate value, the method further includes:

[0030] Obtaining operating parameters of the energy storage power station system after charging or discharging, and obtaining cost attribute parameters of the energy storage power station system;

[0031] Determining a current second economic parameter of the energy storage power station system according to the operating parameter and the cost attribute parameter;

[0032] The second economic parameter is stored and outputted.

[0033] In this embodiment, the economic parameters obtained after the energy storage power station system is adjusted are stored and displayed, so that the energy storage power station system can perform the next frequency adjustment based on the economic parameters, and the operation and maintenance personnel can perform targeted maintenance on the energy storage power station system with reference to the economic parameters.

[0034] In a second aspect, an embodiment of the present application further provides an energy storage power station system, including:

[0035] An acquisition module is used to acquire a preset relational expression corresponding to an error parameter, and iteratively update the preset relational expression to obtain an optimal error parameter as a target error parameter of the energy storage power station system, wherein the target error parameter is used to indicate an error between an actual power parameter and a theoretical power parameter of the energy storage power station system;

[0036] A first determination module is used to obtain a theoretical power parameter of the energy storage power station system, and determine an actual power parameter of the energy storage power station system according to the target error parameter and the theoretical power parameter;

[0037] A second determination module is used to determine a target multiple value of the energy storage power station system according to the actual power parameter and the energy storage capacity of the energy storage power station system;

[0038] A processing module is used to charge or discharge the energy storage power station system according to the target rate value.

[0039] In this embodiment, the actual power parameters of the energy storage power station system are determined by the target error parameters and the theoretical power parameters of the energy storage power station system, and then the target multiple value of the energy storage power station system is determined based on the actual power parameters and the energy storage capacity of the energy storage power station system, so that the energy storage power station system is charged or discharged based on the target multiple value, so that the energy storage power station system is charged or discharged within a given error, ensuring that the control accuracy of the energy storage power station system is high.

[0040] In some embodiments, the acquisition module includes:

[0041] Obtaining a first energy parameter corresponding to the power output by the energy storage power station system per unit time, and obtaining a target efficiency parameter of the energy storage power station system, wherein the target efficiency parameter is used to indicate a charging efficiency parameter or a discharging efficiency parameter of the energy storage power station system;

[0042] Determining a second energy parameter of the energy storage power station system according to the first energy parameter and the target efficiency parameter, wherein the second energy parameter is used to indicate a charging energy parameter or a discharging energy parameter of the energy storage power station system;

[0043] The theoretical power parameter of the energy storage power station system is determined according to the second energy parameter and the unit time.

[0044] In this embodiment, the charging efficiency, discharging efficiency and energy parameters of the energy storage power station system are used to accurately determine the theoretical power parameters of the energy storage power station system, thereby ensuring that the energy storage power station system is charged or discharged within a given error.

[0045] In some embodiments, the acquisition module includes:

[0046] Obtaining a preset relational expression corresponding to the target error parameter;

[0047] The preset relationship expression is iteratively updated to obtain an optimal error parameter as a target error parameter.

[0048] In this embodiment, the preset relational expression of the error parameter is iteratively updated to obtain the optimal error parameter of the energy storage power station system, so that the energy storage power station system can achieve charging or discharging with higher control accuracy based on the optimal error parameter.

[0049] In some embodiments, the processing module comprises:

[0050] Obtaining the current remaining power of the energy storage power station system;

[0051] Determining a third energy parameter of the power output by the energy storage power station system at the current time according to the target multiple value and the power station capacity of the energy storage power station system;

[0052] When the current remaining power is within the remaining power range, the target rate value is within the rate value range, and the third energy parameter is within the energy parameter range, the energy storage power station system is charged or discharged according to the target rate value.

[0053] In this embodiment, when the current remaining power, target rate value and energy parameters of the energy storage power station system are within the corresponding range, the energy storage power station system can be charged or discharged according to the target rate value, that is, the energy storage power station system is ensured to be charged or discharged under the constraint conditions to avoid damage to the energy storage power station system.

[0054] In some embodiments, the energy storage power station system further includes:

[0055] When the current remaining power exceeds the remaining power range, the target rate value exceeds the rate value range and / or the third energy parameter exceeds the energy parameter range, an alarm prompt message is output.

[0056] In this embodiment, if the current remaining power, target multiple value and energy parameter of the energy storage power station system exceed the corresponding range, an alarm prompt message is output, thereby prompting maintenance personnel to perform maintenance on the energy storage power station system in a timely manner.

[0057] In some embodiments, the second determining module includes:

[0058] Determine an initial multiple value of the energy storage power station system according to the actual power parameter, the energy storage capacity of the energy storage power station system and a preset mapping relationship, wherein the preset mapping relationship is used to indicate the relationship between the actual power parameter, the energy storage capacity and the multiple value;

[0059] Obtaining a first economic parameter determined last time for the energy storage power station system;

[0060] The initial multiplier value is corrected according to the first economic parameter to obtain the target multiplier value.

[0061] In this embodiment, the initial rate value is optimized to obtain the target rate value through the economic parameters obtained by the last discharge or charge of the energy storage power station system. Under the premise of ensuring the control accuracy of the energy storage power station system, the economy of the energy storage power station system in this frequency modulation is also ensured to be better.

[0062] In some embodiments, the second determining module further includes:

[0063] Obtaining operating parameters of the energy storage power station system after charging or discharging, and obtaining cost attribute parameters of the energy storage power station system;

[0064] Determining a current second economic parameter of the energy storage power station system according to the operating parameter and the cost attribute parameter;

[0065] The second economic parameter is stored and outputted.

[0066] In this embodiment, the economic parameters obtained after the energy storage power station system is adjusted are stored and displayed, so that the energy storage power station system can perform the next frequency adjustment based on the economic parameters, and the operation and maintenance personnel can perform targeted maintenance on the energy storage power station system with reference to the economic parameters.

[0067] In a third aspect, an embodiment of the present application provides an electronic device, comprising: a processor and a memory storing program instructions; when the processor executes the program instructions, the method of the first aspect is implemented.

[0068] In a fourth aspect, an embodiment of the present application provides a machine-readable storage medium having program instructions stored thereon, and the method of the first aspect is implemented when the program instructions are executed by a processor.

[0069] In a fifth aspect, an embodiment of the present application provides a computer program product. When instructions in the computer program product are executed by a processor of an electronic device, the electronic device executes the method of the first aspect.

[0070] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application 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 drawings can be obtained based on the drawings without paying creative work.

[0072] Figure 1 A schematic diagram of the framework of the energy storage power station system provided in the embodiment of the present application;

[0073] Figure 2 One of the flow charts of the control method of the energy storage power station system provided in the embodiment of the present application;

[0074] Figure 3 A second flow chart of a control method for an energy storage power station system provided in an embodiment of the present application;

[0075] Figure 4 A third flowchart of a control method for an energy storage power station system provided in an embodiment of the present application;

[0076] Figure 5 A fourth flowchart of a control method for an energy storage power station system provided in an embodiment of the present application;

[0077] Figure 6 A fifth flowchart of a control method for an energy storage power station system provided in an embodiment of the present application;

[0078] Figure 7 A schematic diagram of the structure of the energy storage power station system provided in the embodiment of the present application;

[0079] Figure 8 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0080] The following detailed description and drawings of the embodiments of the present application are used to illustrate the principles of the present application, but cannot be used to limit the scope of the present application, that is, the present application is not limited to the described embodiments.

[0081] In the description of the present application, it should be noted that, unless otherwise specified, "multiple" means more than two; the terms "upper", "lower", "left", "right", "inside", "outside", etc., indicating the orientation or positional relationship, are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present application. In addition, the terms "first", "second", "third", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. "Vertical" is not strictly vertical, but is within the allowable error range. "Parallel" is not strictly parallel, but is within the allowable error range.

[0082] Reference to "embodiments" in this application means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described in this application may be combined with other embodiments.

[0083] The energy storage power station system can adjust the power generation frequency of its own energy storage unit so that the power generation frequency of the energy storage unit can be maintained within the set range.

[0084] The inventors of the present application have discovered that in the exemplary technology, the parameters of the energy storage power station system are adjusted manually. When the technicians are not experienced enough or the technicians make calculation errors, it will lead to large errors in the discharge or charging of the energy storage power station system, that is, there is a problem of low control accuracy of the energy storage power station system.

[0085] The inventor of the present application therefore conceived of determining the actual power parameters of the energy storage power station system through the target error parameters and the theoretical power parameters of the energy storage power station system, and then determining the target multiple value of the energy storage power station system based on the actual power parameters and the energy storage capacity of the energy storage power station system, thereby charging or discharging the energy storage power station system based on the target multiple value, so that the energy storage power station system is charged or discharged within a given error, thereby ensuring that the energy storage power station system has high control accuracy.

[0086] The embodiment of the present application provides an energy storage power station system and control method, device, storage medium and program product to solve the above technical problems. The following first introduces the system framework diagram of the energy storage power station system provided by the embodiment of the present application.

[0087] like Figure 1As shown, the energy storage power station system includes multiple energy storage units 110 and a control unit 120, and the control unit 120 is connected to each energy storage unit 110. Each energy storage unit 110 can be charged and discharged, and the energy storage power station system controls each energy storage unit to discharge and charge through the control unit 120.

[0088] The control unit 120 determines the actual power parameter of the energy storage power station system based on the target error parameter and the theoretical power parameter. The control unit 120 determines the target rate value of the energy storage power station system based on the actual power parameter and the energy storage capacity of the energy storage power station system, and the control unit 120 controls each energy storage unit 110 to charge or discharge according to the target rate value.

[0089] In conjunction with 1, the control method of the energy storage power station system provided in the embodiment of the present application is described in detail below.

[0090] Please refer to Figure 2 , Figure 2 A control method for an energy storage power station system provided in an embodiment of the present application includes:

[0091] Step S201, obtain a preset relationship expression corresponding to the error parameter, and iteratively update the preset relationship expression to obtain the optimal error parameter as the target error parameter of the energy storage power station system. The target error parameter is used to indicate the error between the actual power parameter and the theoretical power parameter of the energy storage power station system.

[0092] In this embodiment, the execution subject is an energy storage power station system. For the convenience of description, the system is used below to refer to the energy storage power station system.

[0093] The system obtains a target error parameter. In one example, the target error parameter may be an error parameter set in the system, and the system obtains the stored set error parameter as the target error parameter. The target error parameter is the error between the actual power parameter and the theoretical power parameter of the system.

[0094] In another example, there is a corresponding relational expression for the error parameter, and the relational expression is defined as a preset relational expression.

[0095] Exemplarily, the preset expression may be a formula for the error parameter H of a genetic algorithm, or may be a formula for the error parameter H of a particle swarm algorithm. The parameters in the formula for the error parameter H may be composed of the parameters of each unit in the system. After obtaining the preset expression, the preset expression is iteratively updated, that is, H in the preset expression is solved to obtain the optimal error parameter as the target error parameter. The optimal error parameter may be the minimized H in the preset relationship expression.

[0096] In this embodiment, the preset relational expression of the error parameter is iteratively updated to obtain the optimal error parameter of the energy storage power station system, so that the energy storage power station system can achieve charging or discharging with higher control accuracy based on the optimal error parameter.

[0097] Step S202, obtaining theoretical power parameters of the energy storage power station system, and determining actual power parameters of the energy storage power station system according to the target error parameters and the theoretical power parameters.

[0098] Furthermore, the system obtains theoretical power parameters. The theoretical power parameters are load forecast output (power) functions. Load forecast refers to the estimation of the amount of electricity required by the user, which is an estimated value.

[0099] For example, the theoretical power parameters can be predicted based on a load forecasting algorithm, which includes a product output method and an elasticity coefficient method. For example, the product output method estimates the power consumption by predicting the product output, while the elasticity coefficient method predicts the theoretical power parameters by analyzing historical data to find the elastic relationship between power demand and economic growth.

[0100] After the system obtains the target error parameter and the theoretical power parameter, the actual power parameter of the system can be determined based on the target error parameter and the theoretical power parameter. In one example, the target error parameter H = theoretical power parameter f - actual power parameter g.

[0101] In another example, the target error parameter H = (fg) 2 , where f is the theoretical power parameter, g is the actual power parameter, and f is also the load forecast output (power) function. Load forecast refers to the estimation of the amount of electricity required by the user, which is an estimated value.

[0102] Step S203, determining a target multiple value of the energy storage power station system according to the actual power parameter and the energy storage capacity of the energy storage power station system.

[0103] After obtaining the actual power parameters, the system determines the target rate value of the system based on the actual power parameters and the energy storage capacity of the system. The target rate value refers to the charge and discharge rate of the system. The charge and discharge rate is the ratio between the amount of electricity released per unit time and the capacity of the system.

[0104] For example, the actual power parameter g= ,in, is the rate value of the i-th energy storage unit, is the energy storage capacity of the i-th energy storage unit. The multiplier values ​​of each energy storage unit can be the same, so the product of the total energy storage capacity of the system and the multiplier value is the actual power parameter, that is, the system calculates the multiplier value based on the actual power parameter and the energy storage capacity of the system as the target multiplier value.

[0105] Step S204: charging or discharging the energy storage power station system according to the target rate value.

[0106] After obtaining the target rate value, the system charges or discharges according to the target rate value. For example, if the current state of the system is a discharge state, each energy storage unit is controlled to discharge according to the target rate value; if the current state of the system is a charge state, each energy storage unit is controlled to charge according to the target rate value.

[0107] In this embodiment, the actual power parameters of the energy storage power station system are determined by the target error parameters and the theoretical power parameters of the energy storage power station system, and then the target multiple value of the energy storage power station system is determined based on the actual power parameters and the energy storage capacity of the energy storage power station system, so that the energy storage power station system is charged or discharged based on the target multiple value, so that the energy storage power station system is charged or discharged within a given error, ensuring that the control accuracy of the energy storage power station system is high.

[0108] Reference Figure 3 , Figure 3 A second flow chart of a control method for an energy storage power station system provided in an embodiment of the present application is based on Figure 2 In the illustrated embodiment, step S202 includes:

[0109] Step S301, obtaining a first energy parameter corresponding to the power output by the energy storage power station system per unit time, and obtaining a target efficiency parameter of the energy storage power station system, the target efficiency parameter being used to indicate a charging efficiency parameter or a discharging efficiency parameter of the energy storage power station system.

[0110] In this embodiment, the system obtains the energy parameter corresponding to the power output by itself in a unit time, and the energy parameter is defined as the first energy parameter. The first energy parameter is the energy output by the system in a unit time, and the first energy parameter can be the energy converted from the power output by the system in a unit time, and the energy can be a set value, and the energy is obtained by converting the current power of the detection system.

[0111] After obtaining the first energy parameter, the system obtains the target efficiency parameter. The target efficiency parameter is a charging efficiency parameter or a discharging efficiency parameter, and the target efficiency parameter is determined based on the current state of the system. If the current state of the system is a charging state, the charging efficiency parameter is the target efficiency parameter; if the current state of the system is a discharging state, the discharging state is the target efficiency parameter. Charging efficiency parameter And the discharge efficiency parameters All are stored in the system, and the system obtains the stored discharge efficiency parameter or charging efficiency parameter as the target efficiency parameter based on the current state.

[0112] Step S302: determining a second energy parameter of the energy storage power station system according to the first energy parameter and the target efficiency parameter, where the second energy parameter is used to indicate a charging energy parameter or a discharging energy parameter of the energy storage power station system.

[0113] After obtaining the target efficiency parameter and the first energy parameter, the system determines a second energy parameter of the system based on the first energy parameter and the target efficiency parameter, where the second energy parameter refers to a charging energy parameter or a discharging energy parameter of the system.

[0114] For example, when the current state of the system is a charging state, the second energy parameter is a charging energy parameter. , E is the first energy parameter, is the charging efficiency parameter; when the current state of the system is the discharging state, the second energy parameter is the discharging energy parameter, and the discharging energy parameter , E is the first energy parameter, is the discharge efficiency parameter.

[0115] Step S303: determining a theoretical power parameter of the energy storage power station system according to the second energy parameter and the unit time.

[0116] After determining the second energy parameter, the system can determine the theoretical power parameter based on the second energy parameter and the unit time.

[0117] For example, when the current state of the system is the discharge state, the theoretical power parameter , is the discharge energy parameter, is the unit duration;

[0118] When the current state of the system is charging, the theoretical power parameter , is the charging energy parameter, The unit duration.

[0119] In this embodiment, the charging efficiency, discharging efficiency and energy parameters of the energy storage power station system are used to accurately determine the theoretical power parameters of the energy storage power station system, thereby ensuring that the energy storage power station system is charged or discharged within a given error.

[0120] Refer to 4, Figure 4 A flow chart of a control method for an energy storage power station system provided in an embodiment of the present application is provided as follows: Figure 2 or Figure 3In the illustrated embodiment, step S204 includes:

[0121] Step S401, obtaining the current remaining power of the energy storage power station system.

[0122] In this embodiment, before the system performs charging and discharging based on the target rate value, it is necessary to determine whether the constraint condition is satisfied.

[0123] Exemplarily, the system obtains the remaining power determined last time , and obtain the system's energy storage capacity Q and the system's current I, then the current remaining power .

[0124] Step S402: determining a third energy parameter of the power output by the energy storage power station system at the current time according to the target multiple value and the power station capacity of the energy storage power station system.

[0125] After obtaining the current remaining power, the system determines an energy parameter of the power output by the system at the current time based on the target multiple value and the power station capacity of the system. The energy parameter is defined as a third energy parameter.

[0126] Exemplarily, the third energy parameter , C is the power station capacity, is the target magnification value.

[0127] Step S403, when the current remaining power is within the remaining power range, the target rate value is within the rate value range, and the third energy parameter is within the energy parameter range, the energy storage power station system is charged or discharged according to the target rate value.

[0128] After obtaining the target rate value, the current remaining power and the third energy parameter, it is determined whether the constraint condition is satisfied based on the target rate value, the current remaining power and the third energy parameter.

[0129] When the current remaining power is within the remaining power range, the target rate value is within the rate value range, and the third energy parameter is within the energy parameter range, the energy storage power station system is charged or discharged according to the target rate value.

[0130] For example, if the current state of the system is the charging state, the following conditions are met: ;

[0131] ;

[0132] ;

[0133] If the current state of the system is the discharge state, the following conditions are met: ;

[0134] ;

[0135] .

[0136] Further, when the current remaining power exceeds the remaining power range, the target multiple value exceeds the multiple value range and / or the third energy parameter exceeds the energy parameter range, an alarm prompt message is output. In this embodiment, when the current remaining power, target multiple value and energy parameter of the energy storage power station system exceed the corresponding range, an alarm prompt message is output, thereby prompting maintenance personnel to perform maintenance on the energy storage power station system in a timely manner.

[0137] In this embodiment, when the current remaining power, target rate value and energy parameters of the energy storage power station system are within the corresponding range, the energy storage power station system can be charged or discharged according to the target rate value, that is, the energy storage power station system is ensured to be charged or discharged under the constraint conditions to avoid damage to the energy storage power station system.

[0138] Refer to 5, Figure 5 A fourth flow chart of a control method for an energy storage power station system provided in an embodiment of the present application, based on Figures 2 to 4 In any of the embodiments shown in , step S203 includes:

[0139] Step S501, determining an initial multiple value of the energy storage power station system according to the actual power parameter, the energy storage capacity of the energy storage power station system and a preset mapping relationship, wherein the preset mapping relationship is used to indicate the relationship between the actual power parameter, the energy storage capacity and the multiple value.

[0140] In this embodiment, the system optimizes the multiplier value based on the economic parameters to obtain the optimal multiplier value as the target multiplier value.

[0141] Exemplarily, the system first determines the system multiplier value as the initial multiplier value based on the actual power parameter, energy storage capacity and preset mapping relationship. Actual power parameter g = , This is the initial magnification value. g= That is the preset mapping relationship, which is the relationship between the actual power parameter, energy storage capacity and the ratio value.

[0142] Step S502: obtaining the first economic parameter determined last time by the energy storage power station system.

[0143] The system obtains the economic parameter obtained last time, and the economic parameter is defined as the first economic parameter.

[0144] The first economic parameter includes monthly charging volume, monthly discharging volume, monthly income, profit margin, I investment payback period IPP, energy storage cost per kilowatt-hour LCOS and internal rate of return IRR.

[0145] IRR refers to the internal rate of return, which is a key indicator used to calculate the economic efficiency of energy storage power station systems. It is calculated by weighting the capital income and cost expenditure of the energy storage power station system in each period, as well as the time cost, and can be classified and calculated on a monthly, quarterly, and annual basis. It is a direct manifestation of the economic efficiency of the energy storage power station system. The larger the IRR value, the better the economic efficiency of the energy storage power station system.

[0146] , where a and b are discount rates, a>b, NPVa is the net present value calculated when the discount rate is a, which must be a positive number, and NPVb is the net present value calculated when the discount rate is b, which must be a negative number.

[0147] Profit Margin LCOS , where ESP refers to the total profit of the energy storage power station system, and ESE refers to the total expenditure of the energy storage power station system.

[0148] IPP formula for payback period: , where T refers to the year when the cumulative net cash flow of each year is positive or zero for the first time, IN is the cash inflow, OUT is the cash outflow, and IPP is the investment payback period. The smaller the investment payback period, the faster the system investment recovery and the stronger the risk resistance.

[0149] Cost per kilowatt-hour Among them, ESC refers to the cost of the energy storage power station system, CC refers to the construction cost of the energy storage power station system, OC refers to the operating cost of the energy storage power station system, RVR is the residual value of the energy storage power station system, CBL refers to the configuration power of the energy storage power station system, DOD refers to the discharge depth of the energy storage power station system, RTE refers to the round-trip efficiency of the energy storage power station system, SOH refers to the battery health, and LIFE refers to the year.

[0150] Step S503: correcting the initial multiplier value according to the first economic parameter to obtain a target multiplier value.

[0151] After obtaining the first economic parameter, the initial rate value is corrected based on the first economic parameter to obtain the target rate value. Exemplarily, the current income of the system is determined based on the first economic parameter, and the difference between the current income and the optimal income is calculated, that is, the optimal income minus the current income to obtain the difference. The rate value refers to the charge and discharge rate of the system. The charge and discharge rate is the ratio between the amount of electricity released per unit time by the system and the capacity of the system. If the initial rate value is large, the amount of electricity released per unit time by the system is large, and the loss of the system is large. In this regard, when the difference is large, the initial rate value is reduced to obtain the target rate value; when the difference is small, the initial rate value is used as the target rate value.

[0152] In this embodiment, the initial rate value is optimized to obtain the target rate value through the economic parameters obtained by the last discharge or charge of the energy storage power station system. Under the premise of ensuring the control accuracy of the energy storage power station system, the economy of the energy storage power station system in this frequency modulation is also ensured to be better.

[0153] Refer to 6, Figure 6 A flow chart of a control method for an energy storage power station system provided in an embodiment of the present application is shown in FIG5 , based on Figures 2 to 5 In any of the embodiments shown in the figure, after step S204, the method further includes:

[0154] Step S601, obtaining operating parameters of the energy storage power station system after charging or discharging, and obtaining cost attribute parameters of the energy storage power station system.

[0155] In this embodiment, after the system is charged or discharged, the operating parameters are obtained. The operating parameters include the frequency modulation power of the system per period, frequency modulation mileage, chargeable power, chargeable capacity, dischargeable power, dischargeable capacity, discharge depth, round-trip efficiency, battery health, etc. The system can display the operating hyperparameters so that the user can view them as a reference for optimizing the operation of the system.

[0156] Furthermore, the system obtains cost attribute parameters, which include discount rate, total profit of the system, total expenditure, cash inflow, cash outflow, construction cost of the system, operation cost, residual value, etc.

[0157] Step S602: Determine the current second economic parameter of the energy storage power station system according to the operating parameters and the cost attribute parameters.

[0158] After obtaining the operating parameters and cost attribute parameters, the system can determine the current economic parameters of the system based on the operating parameters and cost attribute parameters, and the economic parameters are defined as the second economic parameters. The second economic parameters include monthly charging amount, monthly discharging amount, monthly income, profit rate, IPP, LCOS, and IRR.

[0159] Step S603: store and output the second economic parameter.

[0160] After the second economic parameter is obtained, the second economic parameter is stored for use in the next round of frequency regulation of the system.

[0161] In this embodiment, the economic parameters obtained after the energy storage power station system is adjusted are stored and displayed, so that the energy storage power station system can perform the next frequency adjustment based on the economic parameters, and the operation and maintenance personnel can perform targeted maintenance on the energy storage power station system with reference to the economic parameters.

[0162] Based on the control method of the energy storage power station system provided in the above embodiment, the present application also provides an embodiment of an energy storage power station system.

[0163] Figure 7 A schematic structural diagram of an energy storage power station system provided in another embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0164] Reference Figure 7 , the energy storage power station system 700 may include:

[0165] An acquisition module 710 is used to acquire a preset relational expression corresponding to an error parameter, and iteratively update the preset relational expression to obtain an optimal error parameter as a target error parameter of the energy storage power station system. The target error parameter is used to indicate the error between an actual power parameter and a theoretical power parameter of the energy storage power station system.

[0166] The first determination module 720 is used to obtain the theoretical power parameters of the energy storage power station system, and determine the actual power parameters of the energy storage power station system according to the target error parameters and the theoretical power parameters;

[0167] A second determination module 730 is used to determine a target multiple value of the energy storage power station system according to the actual power parameter and the energy storage capacity of the energy storage power station system;

[0168] The processing module 740 is used to charge or discharge the energy storage power station system according to the target rate value.

[0169] The energy storage power station system is charged or discharged according to the target rate value.

[0170] In this embodiment, the actual power parameters of the energy storage power station system are determined by the target error parameters and the theoretical power parameters of the energy storage power station system, and then the target multiple value of the energy storage power station system is determined based on the actual power parameters and the energy storage capacity of the energy storage power station system, so that the energy storage power station system is charged or discharged based on the target multiple value, so that the energy storage power station system is charged or discharged within a given error, ensuring that the control accuracy of the energy storage power station system is high.

[0171] In some embodiments, the acquisition module 720 includes:

[0172] Obtaining a first energy parameter corresponding to the power output by the energy storage power station system per unit time, and obtaining a target efficiency parameter of the energy storage power station system, where the target efficiency parameter is used to indicate a charging efficiency parameter or a discharging efficiency parameter of the energy storage power station system;

[0173] Determine a second energy parameter of the energy storage power station system according to the first energy parameter and the target efficiency parameter, where the second energy parameter is used to indicate a charging energy parameter or a discharging energy parameter of the energy storage power station system;

[0174] The theoretical power parameter of the energy storage power station system is determined according to the second energy parameter and the unit time.

[0175] In this embodiment, the charging efficiency, discharging efficiency and energy parameters of the energy storage power station system are used to accurately determine the theoretical power parameters of the energy storage power station system, thereby ensuring that the energy storage power station system is charged or discharged within a given error.

[0176] In some embodiments, the processing module 740 includes:

[0177] Obtain the current remaining power of the energy storage power station system;

[0178] Determine a third energy parameter of the power output by the energy storage power station system at the current time according to the target multiple value and the power station capacity of the energy storage power station system;

[0179] When the current remaining power is within the remaining power range, the target rate value is within the rate value range, and the third energy parameter is within the energy parameter range, the energy storage power station system is charged or discharged according to the target rate value.

[0180] In this embodiment, when the current remaining power, target rate value and energy parameters of the energy storage power station system are within the corresponding range, the energy storage power station system can be charged or discharged according to the target rate value, that is, the energy storage power station system is ensured to be charged or discharged under the constraint conditions to avoid damage to the energy storage power station system.

[0181] In some embodiments, the energy storage power station system 700 further includes:

[0182] When the current remaining power exceeds the remaining power range, the target rate value exceeds the rate value range and / or the third energy parameter exceeds the energy parameter range, an alarm prompt message is output.

[0183] In this embodiment, if the current remaining power, target multiple value and energy parameter of the energy storage power station system exceed the corresponding range, an alarm prompt message is output, thereby prompting maintenance personnel to perform maintenance on the energy storage power station system in a timely manner.

[0184] In some embodiments, the second determination module 730 includes:

[0185] Determine the initial multiple value of the energy storage power station system according to the actual power parameter, the energy storage capacity of the energy storage power station system and a preset mapping relationship, wherein the preset mapping relationship is used to indicate the relationship between the actual power parameter, the energy storage capacity and the multiple value;

[0186] Obtaining the first economic parameter determined last time by the energy storage power station system;

[0187] According to the first economic parameter, the initial ratio value is corrected to obtain the target ratio value.

[0188] In this embodiment, the initial rate value is optimized to obtain the target rate value through the economic parameters obtained by the last discharge or charge of the energy storage power station system. Under the premise of ensuring the control accuracy of the energy storage power station system, the economy of the energy storage power station system in this frequency modulation is also ensured to be better.

[0189] In some embodiments, the second determining module 730 further includes:

[0190] Obtaining operating parameters of the energy storage power station system after charging or discharging, and obtaining cost attribute parameters of the energy storage power station system;

[0191] Determine the current second economic parameter of the energy storage power station system according to the operating parameters and the cost attribute parameters;

[0192] The second economic parameter is stored and outputted.

[0193] In this embodiment, the economic parameters obtained after the energy storage power station system is adjusted are stored and displayed, so that the energy storage power station system can perform the next frequency adjustment based on the economic parameters, and the operation and maintenance personnel can perform targeted maintenance on the energy storage power station system with reference to the economic parameters.

[0194] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiment of the present application, and are devices corresponding to the control method of the above-mentioned energy storage power station system. All implementation methods in the above-mentioned method embodiment are applicable to the embodiment of the device. Its specific functions and technical effects can be found in the method embodiment part, which will not be repeated here.

[0195] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0196] Figure 8 A schematic diagram of the hardware structure of an electronic device provided in yet another embodiment of the present application is shown.

[0197] The electronic device 800 may include a processor 801 and a memory 802 storing programs or instructions. When the processor 801 executes the program, the steps in any of the above method embodiments are implemented.

[0198] Exemplarily, the program may be divided into one or more modules / units, one or more modules / units are stored in the memory 802 and executed by the processor 801 to complete the present application. One or more modules / units may be a series of program instruction segments capable of completing a specific function, and the instruction segments are used to describe the execution process of the program in the device.

[0199] Specifically, the processor 801 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

[0200] The memory 802 may include a large capacity memory for data or instructions. By way of example and not limitation, the memory 802 may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive or a combination of two or more of these. In appropriate cases, the memory 802 may include a removable or non-removable (or fixed) medium. In appropriate cases, the memory 802 may be inside or outside the integrated gateway disaster recovery device. In a specific embodiment, the memory 802 is a non-volatile solid-state memory.

[0201] The memory may include read-only memory (ROM), random access memory (RAM), magnetic disk storage media devices, optical storage media devices, flash memory devices, electrical, optical or other physical / tangible memory storage devices. Thus, typically, the memory includes one or more tangible (non-transitory) readable storage media (e.g., memory devices) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors), it is operable to perform the operations described with reference to the method according to an aspect of the present disclosure.

[0202] The processor 801 implements any one of the methods in the above embodiments by reading and executing the program or instruction stored in the memory 802 .

[0203] In one example, the electronic device may further include a communication interface 803 and a bus 804. The processor 801, the memory 802, and the communication interface 803 are connected via the bus 804 and communicate with each other.

[0204] The communication interface 803 is mainly used to implement communication between various modules, devices, units and / or equipment in the embodiments of the present application.

[0205] Bus 804 includes hardware, software or both, and the components of online data traffic billing equipment are coupled to each other. For example, but not limitation, the bus may include accelerated graphics port (AGP) or other graphics bus, enhanced industrial standard architecture (EISA) bus, front-side bus (FSB), hypertransport (HT) interconnection, industrial standard architecture (ISA) bus, infinite bandwidth interconnection, low pin count (LPC) bus, memory bus, micro channel architecture (MCA) bus, peripheral component interconnection (PCI) bus, PCI-Express (PCI-X) bus, serial advanced technology attachment (SATA) bus, video electronics standard association local (VLB) bus or other suitable bus or two or more of these combinations. In appropriate cases, bus 804 may include one or more buses. Although the present application embodiment describes and shows a specific bus, the present application considers any suitable bus or interconnection.

[0206] In addition, in combination with the method in the above embodiment, the embodiment of the present application may provide a machine-readable storage medium for implementation. The machine-readable storage medium stores a program or instruction; when the program or instruction is executed by a processor, any one of the methods in the above embodiment is implemented. The machine-readable storage medium can be read by a machine such as a computer.

[0207] An embodiment of the present application further provides a chip, which includes a processor and a communication interface, wherein the communication interface and the processor are coupled, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0208] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0209] An embodiment of the present application provides a computer program product, which is stored in a machine-readable storage medium. The program product is executed by at least one processor to implement the various processes of the above-mentioned method embodiment and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0210] It should be clear that the present application is not limited to the specific configuration and processing described above and shown in the figures. For the sake of simplicity, a detailed description of the known method is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present application is not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between the steps after understanding the spirit of the present application.

[0211] The functional modules shown in the above block diagram can be implemented as hardware, software, firmware or a combination thereof. When implemented in hardware, it can be, for example, an electronic circuit, an application-specific integrated circuit (ASIC), appropriate firmware, a plug-in, a function card, etc. When implemented in software, the elements of the present application are programs or code segments used to perform the required tasks. The program or code segment can be stored in a machine-readable medium, or transmitted on a transmission medium or a communication link by a data signal carried in a carrier. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROMs, flash memories, erasable ROMs (EROMs), floppy disks, CD-ROMs, optical disks, hard disks, optical fiber media, radio frequency (RF) links, etc. The code segment can be downloaded via a computer grid such as the Internet, an intranet, etc.

[0212] It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, this application is not limited to the order of the above steps, that is, the steps can be performed in the order mentioned in the embodiment, or in a different order from the embodiment, or several steps can be performed simultaneously.

[0213] Aspects of the present disclosure are described above with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and program products according to the embodiments of the present disclosure. It should be understood that each box in the flowchart and / or block diagram and the combination of each box in the flowchart and / or block diagram can be implemented by a computer program or instruction. These programs or instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device to produce a machine so that these instructions executed by the processor of the computer or other programmable data processing device enable the implementation of the functions / actions specified in one or more boxes of the flowchart and / or block diagram. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field programmable logic circuit. It can also be understood that each box in the block diagram and / or flowchart and the combination of boxes in the block diagram and / or flowchart can also be implemented by dedicated hardware that performs the specified function or action, or can be implemented by a combination of dedicated hardware and computer instructions.

[0214] Although the present application has been described with reference to preferred embodiments, various modifications may be made thereto and parts thereof may be replaced with equivalents without departing from the scope of the present application. In particular, the various technical features mentioned in the various embodiments may be combined in any manner as long as there is no structural conflict. The present application is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.

Claims

1. A control method for an energy storage power station system, characterized in that: include: Obtaining a preset relational expression corresponding to the error parameter, and iteratively updating the preset relational expression to obtain an optimal error parameter as a target error parameter of the energy storage power station system, wherein the target error parameter is used to indicate an error between an actual power parameter and a theoretical power parameter of the energy storage power station system; Obtaining theoretical power parameters of the energy storage power station system, and determining actual power parameters of the energy storage power station system according to the target error parameters and the theoretical power parameters; According to the actual power parameter and the energy storage capacity of the energy storage power station system, according to the actual power parameter, the energy storage capacity of the energy storage power station system and a preset mapping relationship, determine the initial multiplier value of the energy storage power station system, obtain the first economic parameter determined last time for the energy storage power station system, and according to the first economic parameter, correct the initial multiplier value to obtain a target multiplier value, wherein the preset mapping relationship is used to indicate the relationship between the actual power parameter, the energy storage capacity and the multiplier value; Charging or discharging the energy storage power station system according to the target rate value; Obtaining operating parameters of the energy storage power station system after charging or discharging, and obtaining cost attribute parameters of the energy storage power station system; Determining a current second economic parameter of the energy storage power station system according to the operating parameter and the cost attribute parameter; The second economic parameter is stored and outputted.

2. The method according to claim 1, characterized in that The obtaining of theoretical power parameters of the energy storage power station system includes: Obtaining a first energy parameter corresponding to the power output by the energy storage power station system per unit time, and obtaining a target efficiency parameter of the energy storage power station system, wherein the target efficiency parameter is used to indicate a charging efficiency parameter or a discharging efficiency parameter of the energy storage power station system; Determining a second energy parameter of the energy storage power station system according to the first energy parameter and the target efficiency parameter, wherein the second energy parameter is used to indicate a charging energy parameter or a discharging energy parameter of the energy storage power station system; The theoretical power parameter of the energy storage power station system is determined according to the second energy parameter and the unit time.

3. The method according to claim 1, characterized in that The charging or discharging of the energy storage power station system according to the target rate value includes: Obtaining the current remaining power of the energy storage power station system; Determining a third energy parameter of the power output by the energy storage power station system at the current time according to the target multiple value and the power station capacity of the energy storage power station system; When the current remaining power is within the remaining power range, the target rate value is within the rate value range, and the third energy parameter is within the energy parameter range, the energy storage power station system is charged or discharged according to the target rate value.

4. The method according to claim 3, characterized in that After determining the third energy parameter of the power output by the energy storage power station system at the current time according to the target multiple value and the power station capacity of the energy storage power station system, the method further includes: When the current remaining power exceeds the remaining power range, the target rate value exceeds the rate value range and / or the third energy parameter exceeds the energy parameter range, an alarm prompt message is output.

5. An energy storage power station system, characterized in that: include: An acquisition module is used to acquire a preset relational expression corresponding to an error parameter, and iteratively update the preset relational expression to obtain an optimal error parameter as a target error parameter of the energy storage power station system, wherein the target error parameter is used to indicate an error between an actual power parameter and a theoretical power parameter of the energy storage power station system; A first determination module is used to obtain a theoretical power parameter of the energy storage power station system, and determine an actual power parameter of the energy storage power station system according to the target error parameter and the theoretical power parameter; a second determination module, configured to determine an initial multiple value of the energy storage power station system according to the actual power parameter and the energy storage capacity of the energy storage power station system, according to the actual power parameter, the energy storage capacity of the energy storage power station system and a preset mapping relationship, obtain a first economic parameter determined last time for the energy storage power station system, and correct the initial multiple value according to the first economic parameter to obtain a target multiple value, wherein the preset mapping relationship is used to indicate a relationship between the actual power parameter, the energy storage capacity and the multiple value; a processing module for charging or discharging the energy storage power station system according to the target rate value, obtaining operating parameters of the energy storage power station system after charging or discharging, and obtaining cost attribute parameters of the energy storage power station system; determining a current second economic parameter of the energy storage power station system according to the operating parameters and the cost attribute parameters, and storing and outputting the second economic parameter.

6. An electronic device, characterized in that: The device comprises: a processor and a memory storing programs or instructions; When the processor executes the program or instruction, the method according to any one of claims 1 to 4 is implemented.

7. A machine-readable storage medium, characterized in that: The machine-readable storage medium stores a program or instruction, and when the program or instruction is executed by a processor, the method according to any one of claims 1 to 4 is implemented.

8. A computer program product, characterized in that When the instructions in the computer program product are executed by a processor of an electronic device, the electronic device executes the method according to any one of claims 1 to 4.

Images