Energy storage power station scheduling optimization method and system, equipment and medium

Abstract

The invention relates to the technical field of energy storage power stations, in particular to an energy storage power station dispatching optimization method and system, equipment and a medium, and the scheme provided by the invention mainly comprises the steps of judging the fault risk of an energy storage system, sending a control signal for closing a first energy storage system, and sending a control signal for closing the second energy storage system. Based on the first power distribution model and the total output power, initial compensation power needing to be increased by each second energy storage system is output, basic parameters of the second energy storage systems which do not exceed the load rate limit value and the power capable of being increased which does not exceed the load rate limit value are obtained, and an evaluation model is established; and based on the basic parameters and the increased power, calculating through an evaluation model to obtain an evaluation value, and performing scheduling allocation based on the evaluation value. By means of the method, unreasonable distribution caused by the fact that scheduling is adjusted according to the load rate conventionally is avoided, the scheme is combined with the parameter condition of the energy storage system, analysis and processing are carried out, and reasonable distribution and scheduling signals are given.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage power stations, and in particular to a method, system, equipment, and medium for optimizing energy storage power station scheduling. Background Art

[0002] Currently, there are diverse energy storage types. In addition to traditional energy storage technologies such as pumped hydro, new energy storage technologies are developing rapidly. Based on their operating principles, energy storage can be divided into three types: physical energy storage, electromagnetic energy storage, and electrochemical energy storage. Physical energy storage includes flywheel energy storage and compressed air energy storage; electromagnetic energy storage includes supercapacitors; and electrochemical energy storage includes sodium-sulfur batteries, lithium-ion batteries, lead-acid batteries, and flow batteries. With the development of technology, more new energy storage technologies will emerge.

[0003] Therefore, when supplying power to the power grid, the types of energy storage systems used are diverse. When a certain energy storage system needs to be shut down, other energy storage systems need to compensate within a short period of time. However, the current existing technology simply compensates based on the current system load without considering the impact of the energy storage system's own factors, resulting in unreasonable final scheduling and allocation. Summary of the Invention

[0004] The purpose of the present invention is to provide a method and system, equipment and medium for optimizing the scheduling of an energy storage power station to solve the problems in the prior art.

[0005] The present invention is achieved through the following technical solutions:

[0006] In a first aspect, the present invention provides a method for optimizing energy storage power station scheduling, comprising:

[0007] Obtaining operating parameters of several energy storage systems of the energy storage power station, and obtaining a failure risk index of the current energy storage system based on the operating parameters; setting a risk index threshold, and obtaining a first energy storage system whose failure risk index is greater than the risk index threshold and a second energy storage system whose failure risk index is not greater than the risk index threshold;

[0008] Sending a control signal to shut down the first energy storage system, obtaining the total output power of all first energy storage systems, establishing a first power distribution model, and outputting the initial compensation power required to be increased for each second energy storage system based on the first power distribution model and the total output power;

[0009] Setting a load rate limit value, determining whether the load rate limit value is exceeded after the initial compensation power is increased for the plurality of second energy storage systems, and issuing a first dispatch signal if no second energy storage system exceeds the load rate limit value;

[0010] If a second energy storage system that exceeds the load rate limit value appears, the initial compensation power of the second energy storage system that exceeds the load rate limit value is corrected to the first corrected compensation power when the second energy storage system does not exceed the load rate limit value, and the total difference compensation power between the initial compensation power and the first corrected compensation power of the plurality of second energy storage systems is obtained;

[0011] Obtaining basic parameters of the second energy storage system that does not exceed the load rate limit and the power that can be increased to meet the load rate limit, establishing an evaluation model, and calculating an evaluation value based on the basic parameters and the power that can be increased through the evaluation model;

[0012] The second energy storage systems are sorted by evaluation value, the total difference compensation power is added to the initial compensation power of the second energy storage systems according to the order to obtain a second corrected compensation power, and a second scheduling signal is sent.

[0013] Preferably, the first dispatching signal is to control the second energy storage system to increase the output power equal to the initial compensation power;

[0014] The second dispatching signal is used to control the second energy storage system that exceeds the load rate limit value to increase the output power equal to the first corrected compensation power. If the sum of the first corrected compensation power, the second corrected compensation power and the current output power is greater than the output power of the second energy storage system at the load rate limit value, then only the second energy storage system that does not exceed the load rate limit value is controlled to increase the output power equal to the first corrected compensation power. If the first corrected compensation power, the second corrected compensation power and the current output power are not greater than the output power at the load rate limit value, then the second energy storage system that does not exceed the load rate limit value is controlled to increase the output power equal to the sum of the first corrected compensation power and the second corrected compensation power.

[0015] Preferably, obtaining the failure risk index of the current energy storage system based on the operating parameters includes:

[0016] Obtain historical operating data of the energy storage system, establish a risk index model, and output the current energy storage system's fault risk index based on the historical operating data and the risk index model;

[0017] The risk index model includes:

[0018]

[0019] Where S d is the fault risk index, m is the total number of parameters of the current energy storage system, K i,j,t is the data collected at time t on day j for parameter i, K i,j,0 is the first data collected at the initial moment of the jth day for the i-th parameter, K i,j,max is the maximum data value of the i-th parameter in the j-th day, Ki,j,min is the minimum data value of the i-th parameter in the j-th day, and l is the total number of moments.

[0020] Preferably, the step of establishing a first power distribution model and outputting the additional initial compensation power required for each second energy storage system based on the first power distribution model and the total output power includes:

[0021] Obtaining a failure risk index of the second energy storage system, and sorting the second energy storage systems from largest to smallest based on the failure risk index to obtain a sequence number of the second energy storage system;

[0022] The establishing of the first power distribution model includes:

[0023]

[0024] Where, P f,o is the initial compensation power of the oth second energy storage system, where o ranges from 1 to u, S d,u-o+1 is the failure risk index of the u-o+1th second energy storage system, S d,z The sum of the failure risk indices of all second energy storage systems, P z is the total output power of the first energy storage system.

[0025] Preferably, the determining whether the load rate limit value is exceeded after the initial compensation power of the plurality of second energy storage systems is increased includes:

[0026] Obtaining the maximum output power and current output power of the second energy storage system, and calculating the current load rate based on the maximum output power, the current output power, and the initial compensation power;

[0027] The calculation of the load rate includes:

[0028]

[0029] Where η is the load rate, P e is the current output power, P b is the initial compensation power, P max is the maximum output power.

[0030] Preferably, the step of obtaining the basic parameters of the second energy storage system that does not exceed the load rate limit and the power that can be increased to meet the requirement of not exceeding the load rate limit, and establishing the evaluation model includes:

[0031]

[0032] Where, E z is the evaluation value, P s is the value that can increase power, G h It is the value of the cost increase for each increase in Rkw output power, and R is a constant.

[0033] Preferably, the step of adding the total difference compensation power to the initial compensation powers of the plurality of second energy storage systems according to the sequence to obtain the second corrected compensation power includes:

[0034] A second power distribution model is established, including:

[0035]

[0036] Where, P l,q is the second corrected compensation power of the qth second energy storage system that does not exceed the load rate limit value when the second energy storage system exceeds the load rate limit value, E z,q is the evaluation value of the second energy storage system that does not exceed the load rate limit, E z,z is the sum of all evaluation values, P u Compensate the power for the total shortfall.

[0037] In a second aspect, the present invention provides an energy storage power station scheduling optimization system, comprising:

[0038] The judgment module is configured to obtain operating parameters of several energy storage systems of the energy storage power station, and obtain a failure risk index of the current energy storage system based on the operating parameters; set a risk index threshold, and obtain a first energy storage system whose failure risk index is greater than the risk index threshold and a second energy storage system whose failure risk index is not greater than the risk index threshold;

[0039] The compensation module is configured to issue a control signal to shut down the first energy storage system, obtain the total output power of all first energy storage systems, establish a first power allocation model, and output the initial compensation power required to be added to each second energy storage system based on the first power allocation model and the total output power; set a load rate limit value, determine whether the initial compensation power added to multiple second energy storage systems exceeds the load rate limit value, and issue a first scheduling signal if no second energy storage system exceeds the load rate limit value.

[0040] The correction module is configured to, if a second energy storage system that exceeds the load rate limit value appears, correct the initial compensation power of the second energy storage system that exceeds the load rate limit value to a first corrected compensation power when the second energy storage system does not exceed the load rate limit value, thereby obtaining a total difference compensation power between the initial compensation power of the plurality of second energy storage systems and the first corrected compensation power; obtain basic parameters of the second energy storage system that does not exceed the load rate limit value and an increaseable power that satisfies the load rate limit value, establish an evaluation model, and calculate an evaluation value based on the basic parameters and the increaseable power through the evaluation model; sort the second energy storage systems according to the evaluation value, add the total difference compensation power to the initial compensation power of the plurality of second energy storage systems according to the order, thereby obtaining a second corrected compensation power, and send a second scheduling signal;

[0041] A main control device is connected to the judgment module, the compensation module and the correction module, and is used to execute the above-mentioned energy storage power station scheduling optimization method.

[0042] In a third aspect, the present invention further provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned energy storage power station scheduling optimization method when executing the computer program.

[0043] In a fourth aspect, the present invention further provides a computer-readable storage medium storing a computer program, which implements the above-mentioned energy storage power station scheduling optimization method when executed by a processor.

[0044] The technical solution of the present invention has at least the following advantages and beneficial effects:

[0045] The solution provided by the present invention mainly includes determining the failure risk of the energy storage system, issuing a control signal to shut down the first energy storage system, outputting the initial compensation power required for each second energy storage system based on the first power allocation model and the total output power, obtaining the basic parameters of the second energy storage system that does not exceed the load rate limit and the power that can be increased to meet the load rate limit, establishing an evaluation model, calculating an evaluation value based on the basic parameters and the power that can be increased through the evaluation model, and performing scheduling and allocation based on the evaluation value. The above method avoids the unreasonable allocation caused by the conventional adjustment and scheduling based on the load rate alone. This solution combines the energy storage system's own parameters, analyzes and processes them, and provides more reasonable allocation and scheduling signals. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without paying any creative work.

[0047] Figure 1 is a control flow chart of the present invention;

[0048] Figure 2 Schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION

[0049] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings herein can be arranged and designed in various different configurations.

[0050] The terms "first," "second," and so on, in the specification and claims of this application and the accompanying drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. The naming or numbering of steps in this application does not necessarily imply that the steps in the method flow must be executed in the chronological or logical order indicated by the naming or numbering. Named or numbered process steps may be executed in a different order based on the desired technical objectives, as long as the same or similar technical effects are achieved.

[0051] Please refer to Figure 1-Figure 2 , a method for optimizing energy storage power station scheduling, comprising:

[0052] S101: Obtain operating parameters of several energy storage systems of the energy storage power station, and obtain a failure risk index of the current energy storage system based on the operating parameters; set a risk index threshold, and obtain a first energy storage system whose failure risk index is greater than the risk index threshold and a second energy storage system whose failure risk index is not greater than the risk index threshold;

[0053] The fault risk index in this embodiment is mainly used to reflect data fluctuations. The magnitude of the data fluctuations is used to preliminarily determine whether there are hidden faults in the current energy storage system, and then the first energy storage system with a fault index greater than the risk index threshold is shut down for maintenance.

[0054] S102: issuing a control signal to shut down the first energy storage system, obtaining the total output power of all first energy storage systems, establishing a first power distribution model, and outputting the initial compensation power required for each second energy storage system based on the first power distribution model and the total output power;

[0055] After the first energy storage system is shut down, a gap in the original output power of the first energy storage system is left, and the second energy storage system is needed to compensate for it in a short period of time.

[0056] S103: Setting a load rate limit value, determining whether the load rate limit value is exceeded after the initial compensation power is increased for a plurality of second energy storage systems, and issuing a first dispatch signal if no second energy storage system exceeds the load rate limit value;

[0057] The first dispatching signal is used to control the second energy storage system to increase its output power by an amount equal to the initial compensation power;

[0058] Regarding the load rate, the maximum output power and the current output power of the second energy storage system are obtained, and the current load rate is calculated based on the maximum output power, the current output power, and the initial compensation power;

[0059] Calculating the load factor includes:

[0060]

[0061] Where η is the load rate, P e is the current output power, P b is the initial compensation power, P max is the maximum output power.

[0062] S104: If a second energy storage system exceeds the load rate limit, correct the initial compensation power of the second energy storage system that exceeds the load rate limit to a first corrected compensation power when the second energy storage system does not exceed the load rate limit, thereby obtaining a total difference compensation power between the initial compensation power and the first corrected compensation power of the plurality of second energy storage systems.

[0063] The first corrected compensation power is the output power when the load rate of the second energy storage system is equal to the load rate limit value minus the current output power, and the difference compensation power is the difference between the initial compensation power and the first corrected compensation power.

[0064] S105: Obtain basic parameters of the second energy storage system that does not exceed the load rate limit and the power that can be increased to meet the load rate limit, establish an evaluation model, and calculate an evaluation value based on the basic parameters and the power that can be increased through the evaluation model;

[0065] The increaseable power refers to the output power of the second energy storage system that can be increased to the load rate limit value after receiving the initial compensation power without exceeding the load rate limit value. That is, the output power of the second energy storage system at the load rate limit value minus the current output power minus the initial compensation power is the increaseable power.

[0066] S106: The second energy storage systems are sorted by evaluation value, the total difference compensation power is added to the initial compensation power of the second energy storage systems according to the order to obtain a second corrected compensation power, and a second scheduling signal is sent.

[0067] The second dispatching signal is used to control the second energy storage system that exceeds the load rate limit to increase the output power equal to the first corrected compensation power.

[0068] If the sum of the first corrected compensation power, the second corrected compensation power, and the current output power is greater than the output power of the second energy storage system at the load rate limit, only the second energy storage system, which does not exceed the load rate limit, is controlled to increase the output power by an amount equal to the first corrected compensation power. Since the power is not compensated enough to match the total output power of the first energy storage system, an alarm signal needs to be sent externally.

[0069] If the first corrected compensation power, the second corrected compensation power and the current output power are not greater than the output power of the load rate limit value, the second energy storage system that does not exceed the load rate limit value is controlled to increase the output power equal to the sum of the first corrected compensation power and the second corrected compensation power. In this embodiment, the load rate limit value can be set to 90%.

[0070] The solution provided by the present invention mainly includes judging the failure risk of the energy storage system, issuing a control signal to shut down the first energy storage system, outputting the initial compensation power required for each second energy storage system based on the first power distribution model and the total output power, and obtaining the basic parameters of the second energy storage system that does not exceed the load rate limit and the power that can be increased that does not exceed the load rate limit, establishing an evaluation model, and calculating the evaluation value based on the basic parameters and the increaseable power through the evaluation model, and performing scheduling and allocation based on the evaluation value. The above method avoids the unreasonable allocation caused by the conventional adjustment and scheduling based on the load rate alone. This solution combines the parameters of the energy storage system itself, analyzes and processes them, and provides more reasonable allocation and scheduling signals.

[0071] In an exemplary embodiment of the present invention, obtaining a failure risk index of the current energy storage system based on operating parameters includes:

[0072] Obtain historical operating data of the energy storage system, establish a risk index model, and output the current energy storage system's fault risk index based on the historical operating data and the risk index model;

[0073] The risk index model includes:

[0074]

[0075] Where S d is the fault risk index, m is the total number of parameters of the current energy storage system, K i,j,t is the data collected at time t on day j for parameter i, K i,j,0 is the first data collected at the initial moment of the jth day for the i-th parameter, K i,j,max is the maximum data value of the i-th parameter in the j-th day, K i,j,min is the minimum data value of the i-th parameter in the j-th day, and l is the total number of moments.

[0076] In this embodiment, the gap between each type of data at different times on different days is combined to reflect the degree of data fluctuation, and thus reflect the current situation of the energy storage system. In this embodiment, the time can be hours, l is 24, and t is the number of hours.

[0077] In an exemplary embodiment of the present invention, establishing a first power distribution model and outputting the additional initial compensation power required for each second energy storage system based on the first power distribution model and the total output power includes:

[0078] Obtaining a failure risk index of the second energy storage system, and sorting the second energy storage systems from largest to smallest based on the failure risk index to obtain a sequence number of the second energy storage system;

[0079] The establishing of the first power distribution model includes:

[0080]

[0081] Where, P f,o is the initial compensation power of the oth second energy storage system, where o ranges from 1 to u, S d,u-o+1 is the failure risk index of the u-o+1th second energy storage system, S d,z The sum of the failure risk indices of all second energy storage systems, P z is the total output power of the first energy storage system.

[0082] In this embodiment, allocation is performed based on the principle that the higher the fault risk index, the smaller the output power to be allocated and scheduled. That is, the weight coefficient of the second energy storage system with the largest fault risk index should refer to the fault risk index of the second energy storage system to obtain a reasonable weight coefficient.

[0083] In an exemplary embodiment of the present invention, obtaining basic parameters of the second energy storage system that does not exceed the load rate limit and the power that can be increased so as to meet the requirement of not exceeding the load rate limit, and establishing an evaluation model include:

[0084]

[0085] Where, E z is the evaluation value, P s is the value that can increase power, G h It is the value of the cost increase for each increase in Rkw output power, and R is a constant.

[0086] In this embodiment, the increase in cost caused by the increase in output power is taken into consideration, rather than simply increasing the output power. Therefore, cost considerations are added to comprehensively evaluate how much compensation power each second energy storage system needs to be allocated, and a balanced calculation is performed.

[0087] In an exemplary embodiment of the present invention, the step of adding the total difference compensation power to the initial compensation powers of the plurality of second energy storage systems according to the sequence to obtain the second modified compensation power includes:

[0088] A second power distribution model is established, including:

[0089]

[0090] Where, P l,q is the second corrected compensation power of the qth second energy storage system that does not exceed the load rate limit value when the second energy storage system exceeds the load rate limit value, E z,q is the evaluation value of the second energy storage system that does not exceed the load rate limit, E z,z is the sum of all evaluation values, P u Compensate the power for the total shortfall.

[0091] In the present invention, a higher evaluation value indicates that the second energy storage system is more suitable for increasing the output power to compensate for the output power vacancy of the first energy storage system due to shutdown. Therefore, the total difference compensation power is allocated according to the proportion of the evaluation value to the total evaluation value of the second energy storage system that does not exceed the load rate limit.

[0092] In a second aspect, the present invention provides an energy storage power station scheduling optimization system, comprising:

[0093] The judgment module is configured to obtain operating parameters of several energy storage systems of the energy storage power station, and obtain a failure risk index of the current energy storage system based on the operating parameters; set a risk index threshold, and obtain a first energy storage system whose failure risk index is greater than the risk index threshold and a second energy storage system whose failure risk index is not greater than the risk index threshold;

[0094] The compensation module is configured to issue a control signal to shut down the first energy storage system, obtain the total output power of all first energy storage systems, establish a first power allocation model, and output the initial compensation power required to be added to each second energy storage system based on the first power allocation model and the total output power; set a load rate limit value, determine whether the initial compensation power added to multiple second energy storage systems exceeds the load rate limit value, and issue a first scheduling signal if no second energy storage system exceeds the load rate limit value.

[0095] The correction module is configured to, if a second energy storage system that exceeds the load rate limit value appears, correct the initial compensation power of the second energy storage system that exceeds the load rate limit value to a first corrected compensation power when the second energy storage system does not exceed the load rate limit value, thereby obtaining a total difference compensation power between the initial compensation power of the plurality of second energy storage systems and the first corrected compensation power; obtain basic parameters of the second energy storage system that does not exceed the load rate limit value and an increaseable power that satisfies the load rate limit value, establish an evaluation model, and calculate an evaluation value based on the basic parameters and the increaseable power through the evaluation model; sort the second energy storage systems according to the evaluation value, add the total difference compensation power to the initial compensation power of the plurality of second energy storage systems according to the order, thereby obtaining a second corrected compensation power, and send a second scheduling signal;

[0096] A main control device is connected to the judgment module, the compensation module and the correction module, and is used to execute the above-mentioned energy storage power station scheduling optimization method.

[0097] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0098] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer software product is stored in a storage medium and includes a number of instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the various embodiments of the present invention. The aforementioned storage medium includes: USB flash drives, mobile hard drives, read-only memories (ROMs), random access memories (RAMs), magnetic disks, optical disks, and other media that can store program code.

[0099] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Those skilled in the art will readily appreciate that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A method for optimizing energy storage power station scheduling, characterized in that: include: Obtaining operating parameters of several energy storage systems in the energy storage power station, and obtaining a failure risk index of the current energy storage system based on the operating parameters; Setting a risk index threshold to obtain a first energy storage system whose failure risk index is greater than the risk index threshold and a second energy storage system whose failure risk index is not greater than the risk index threshold; Sending a control signal to shut down the first energy storage system, obtaining the total output power of all first energy storage systems, establishing a first power distribution model, and outputting the initial compensation power required to be increased for each second energy storage system based on the first power distribution model and the total output power; Setting a load rate limit value, determining whether the load rate limit value is exceeded after the initial compensation power is increased for the plurality of second energy storage systems, and issuing a first dispatch signal if no second energy storage system exceeds the load rate limit value; If a second energy storage system that exceeds the load rate limit value appears, the initial compensation power of the second energy storage system that exceeds the load rate limit value is corrected to a first corrected compensation power when the second energy storage system does not exceed the load rate limit value, obtaining the total difference compensation power between the initial compensation power and the first corrected compensation power of the plurality of second energy storage systems, obtaining basic parameters of the second energy storage system that does not exceed the load rate limit value and the increaseable power that satisfies the load rate limit value, establishing an evaluation model, and calculating an evaluation value through the evaluation model based on the basic parameters and the increaseable power; The second energy storage systems are sorted by evaluation value, the total difference compensation power is added to the initial compensation power of the second energy storage systems according to the order to obtain a second corrected compensation power, and a second scheduling signal is sent.

2. The method for optimizing energy storage power station scheduling according to claim 1, characterized in that: The first dispatching signal is used to control the second energy storage system to increase the output power equal to the initial compensation power; The second dispatching signal is used to control the second energy storage system that exceeds the load rate limit value to increase the output power equal to the first corrected compensation power. If the sum of the first corrected compensation power, the second corrected compensation power and the current output power is greater than the output power of the second energy storage system at the load rate limit value, then only the second energy storage system that does not exceed the load rate limit value is controlled to increase the output power equal to the first corrected compensation power. If the first corrected compensation power, the second corrected compensation power and the current output power are not greater than the output power at the load rate limit value, then the second energy storage system that does not exceed the load rate limit value is controlled to increase the output power equal to the sum of the first corrected compensation power and the second corrected compensation power.

3. The method for optimizing energy storage power station scheduling according to claim 1, characterized in that: Obtaining the failure risk index of the current energy storage system based on the operating parameters includes: Obtain historical operating data of the energy storage system, establish a risk index model, and output the current energy storage system's fault risk index based on the historical operating data and the risk index model; The risk index model includes: Where S d is the fault risk index, m is the total number of parameters of the current energy storage system, K i,j,t is the data collected at time t on day j for parameter i, K i,j,0 is the first data collected at the initial moment of the jth day for the i-th parameter, K i,j,max is the maximum data value of the i-th parameter in the j-th day, K i,j,min is the minimum data value of the i-th parameter in the j-th day, and l is the total number of moments.

4. The energy storage power station scheduling optimization method according to claim 3, characterized in that: The step of establishing a first power distribution model and outputting the additional initial compensation power required for each second energy storage system based on the first power distribution model and the total output power includes: Obtaining a failure risk index of the second energy storage system, and sorting the second energy storage systems from largest to smallest based on the failure risk index to obtain a sequence number of the second energy storage system; The establishing of the first power distribution model includes: Where, P f,o is the initial compensation power of the oth second energy storage system, where o ranges from 1 to u, S d,u-o+1 is the failure risk index of the u-o+1th second energy storage system, S d,z The sum of the failure risk indices of all second energy storage systems, P z is the total output power of the first energy storage system.

5. The method for optimizing energy storage power station scheduling according to claim 4, characterized in that: The determining whether the load rate limit value is exceeded after the initial compensation power is increased by the plurality of second energy storage systems includes: Obtaining the maximum output power and current output power of the second energy storage system, and calculating the current load rate based on the maximum output power, the current output power, and the initial compensation power; The calculation of the load rate includes: Where η is the load rate, P e is the current output power, P b is the initial compensation power, P max is the maximum output power.

6. The method for optimizing energy storage power station scheduling according to claim 5, characterized in that: The obtaining of the basic parameters of the second energy storage system that does not exceed the load rate limit and the power that can be increased to meet the requirement of not exceeding the load rate limit, and establishing the evaluation model include: Where, E z is the evaluation value, P s is the value that can increase power, G h It is the value of the cost increase for each increase in Rkw output power, and R is a constant.

7. The method for optimizing energy storage power station scheduling according to claim 6, characterized in that: The step of adding the total difference compensation power to the initial compensation powers of the plurality of second energy storage systems according to the sequence to obtain the second corrected compensation power includes: A second power distribution model is established, including: Where, P l,q is the second corrected compensation power of the qth second energy storage system that does not exceed the load rate limit value when the second energy storage system exceeds the load rate limit value, e z,q is the evaluation value of the second energy storage system that does not exceed the load rate limit, E z,z is the sum of all evaluation values, P u Compensate the power for the total shortfall.

8. A system for optimizing energy storage power station scheduling, characterized in that: include: a judgment module configured to obtain operating parameters of several energy storage systems of the energy storage power station and obtain a failure risk index of the current energy storage system based on the operating parameters; Setting a risk index threshold to obtain a first energy storage system whose failure risk index is greater than the risk index threshold and a second energy storage system whose failure risk index is not greater than the risk index threshold; The compensation module is configured to issue a control signal to shut down the first energy storage system, obtain the total output power of all first energy storage systems, establish a first power allocation model, and output the initial compensation power required to be added to each second energy storage system based on the first power allocation model and the total output power; set a load rate limit value, determine whether the initial compensation power added to multiple second energy storage systems exceeds the load rate limit value, and issue a first scheduling signal if no second energy storage system exceeds the load rate limit value. The correction module is configured to, if a second energy storage system that exceeds the load rate limit value appears, correct the initial compensation power of the second energy storage system that exceeds the load rate limit value to a first corrected compensation power when the second energy storage system does not exceed the load rate limit value, thereby obtaining a total difference compensation power between the initial compensation power of the plurality of second energy storage systems and the first corrected compensation power; obtain basic parameters of the second energy storage system that does not exceed the load rate limit value and an increaseable power that satisfies the load rate limit value, establish an evaluation model, and calculate an evaluation value based on the basic parameters and the increaseable power through the evaluation model; sort the second energy storage systems according to the evaluation value, add the total difference compensation power to the initial compensation power of the plurality of second energy storage systems according to the order, thereby obtaining a second corrected compensation power, and send a second scheduling signal; A main control device, the main control device is connected to the judgment module, the compensation module and the correction module, and is used to execute the energy storage power station scheduling optimization method according to any one of claims 1 to 7.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the method for optimizing energy storage power station scheduling according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for optimizing energy storage power station scheduling is implemented as described in any one of claims 1 to 7.

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