Electrochemical energy storage operation mode optimization method and system

Abstract

The invention discloses an electrochemical energy storage operation mode optimization method and system, and the method comprises the steps: building a double-layer decision model which comprises an outer layer model and an inner layer model; the wind storage combined output power is obtained through long-time scale input; the inner-layer model calculates an emergency power support quantity; and the emergency power support quantity calculated by the inner-layer model is fed back to the outer-layer model, and the outer-layer model adjusts a long-term scheduling strategy according to the feedback of the inner-layer model. According to the method, an optimal configuration thought is provided for power distribution of the energy storage system in multi-active-power-demand and multi-scene application, technical support is provided for improving the frequency stability of a power system containing high-proportion new energy, and the safe and stable operation level of a power grid is improved.

Description

Technical Field

[0001] The present invention relates to the field of power system control technology, and in particular to an electrochemical energy storage operation mode optimization method and system. Background Art

[0002] As the penetration rate of new energy and the proportion of power electronic equipment in the power grid gradually increase, the power system's ability to resist serious faults gradually decreases, the power system's frequency regulation ability decreases, and the system's safe and stable operation faces huge risks. Energy storage systems with fast response capabilities have great potential in enhancing the power grid's regulation capabilities. By giving full play to their flexible four-quadrant output regulation capabilities, they can play an important role in many application scenarios. With the help of energy storage technology, the intermittent and random volatility problems of renewable energy generation can be solved, line congestion can be alleviated, and they can be applied to power system frequency regulation, emergency power support after faults, etc., effectively responding to power grid faults and improving power grid operation efficiency. With the increasing proportion of new energy in the future, from the perspective of active power regulation alone, it is necessary to solve the security and flexibility challenges faced by the power system on the full time scale from milliseconds to the medium and long term. The energy storage system can respond quickly to system regulation and play an important role on the full time scale, especially when there are a large number of volatile and random new energy generation in the power grid. The output power of the energy storage can be quickly controlled and converted to achieve real-time response to the power grid supply and demand balance requirements, and achieve precise control of frequency regulation to keep the system frequency within the standard range.

[0003] As a flexible control resource, the energy storage system has the functions of participating in system frequency regulation, smoothing new energy fluctuations, and emergency power support. At this stage, the cost of energy storage construction is still relatively high relative to the profit recovery period. Therefore, it is necessary to consider making full use of the same energy storage power station to undertake multi-scenario functions. For energy storage scenarios with multiple active power requirements, full use of the full-time scale regulation advantages of energy storage can be made, to achieve the compound utilization of energy storage, improve the overall utilization efficiency and operating benefits of the energy storage system, and improve the safety and stability characteristics of the power grid. Summary of the invention

[0004] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0005] In view of the above existing problems, the present invention is proposed.

[0006] Therefore, the present invention provides an electrochemical energy storage operation mode optimization method and system to solve the problem that the energy storage construction cost is still relatively high relative to the profit recovery period.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0008] In a first aspect, the present invention provides a method for optimizing an electrochemical energy storage operation mode, comprising:

[0009] Establish a two-layer decision-making model, including an outer model and an inner model;

[0010] Based on the outer model, the wind-storage combined output power is obtained through long-time scale input;

[0011] Based on the combined wind and energy storage output power and the current state of the energy storage system, the inner model calculates the emergency power support capacity;

[0012] The emergency power support amount calculated by the inner model is fed back to the outer model, and the outer model adjusts the long-term scheduling strategy according to the feedback from the inner model.

[0013] As a preferred solution of the electrochemical energy storage operation mode optimization method of the present invention, wherein:

[0014] The mathematical model of the outer layer model is expressed as:

[0015]

[0016] The mathematical model of the inner layer model is expressed as:

[0017]

[0018] Among them, (O) and (I) are the outer planning and inner planning respectively; F and f are the objective functions of the outer planning and inner planning respectively; x and y are the decision variables of the outer planning and inner planning respectively; G and g are the constraints of the outer planning and inner planning respectively.

[0019] As a preferred solution of the electrochemical energy storage operation mode optimization method of the present invention, wherein:

[0020] The outer layer model comprises the following steps:

[0021] The outer model objective function is established with the goal of smoothing out the fluctuation of renewable energy with long-term energy storage systems and generators on a typical day.

[0022] Comprehensively consider the output of new energy, conventional units and system constraints, formulate an energy storage allocation plan and decompose the output of each part;

[0023] Based on the energy storage allocation plan, the wind and energy storage combined output power after adjustment by the energy storage power station in a specific time period is calculated through time domain simulation calculation, and the energy storage allocation plan is used as a constraint condition of the inner model;

[0024] The wind-storage combined output power is transferred to the inner model as the input of the inner model;

[0025] Adjust the long-term scheduling strategy based on the feedback from the inner model.

[0026] As a preferred solution of the electrochemical energy storage operation mode optimization method of the present invention, wherein:

[0027] The outer model objective function is expressed as:

[0028]

[0029] in,

[0030] in, is the total amount of new energy fluctuation after stabilization, ΔP Rdy (t) is the corrected new energy fluctuation at the current time t, ΔP Gi and ΔP bn Respectively represent adjustable conventional units i and the flexible adjustment amount that the energy storage device n can provide, the coefficient h ij and m nj are the distribution coefficients of the two, which are deterministic variables that can be optimized, ranging from 0 to 1, N G is the number of adjustable conventional units, N b is the number of adjustable energy storage devices to be selected.

[0031] As a preferred solution of the electrochemical energy storage operation mode optimization method of the present invention, wherein:

[0032] The inner layer model comprises the following steps:

[0033] The objective function of the inner model is established with the goal of short-time-scale energy storage power station participating in emergency power support after an accident.

[0034] When a system failure occurs, calculate the current frequency deviation;

[0035] Based on the calculated frequency deviation, the wind-storage combined output power of the outer model and the current state of the energy storage system, calculate the emergency power support capacity of the energy storage system when a grid failure occurs;

[0036] The emergency power support amount calculated by the inner model is fed back to the outer model.

[0037] As a preferred solution of the electrochemical energy storage operation mode optimization method of the present invention, wherein:

[0038] The inner model objective function is expressed as:

[0039]

[0040] Where ΔP t is the power shortage of the system at time t; ΔP loss P is the system power shortage after the fault; bat,Acci The active power that the energy storage support system can provide after an accident; The rotational inertia power of the grid-connected unit after configuring the energy storage system; AP m is the number of measures that still need to be taken after configuring the energy storage system; n is the number of grid-connected generators.

[0041] As a preferred solution of the electrochemical energy storage operation mode optimization method of the present invention, wherein:

[0042] The calculation of the current frequency deviation is expressed as:

[0043]

[0044] Where Δf t is the frequency deviation of the system at time t; f N is the reference frequency; P L is the total active load of the system; ρ is the rotating reserve coefficient of the power grid; K G K is the frequency static characteristic coefficient of the generator set; L is the frequency static characteristic coefficient of the load.

[0045] In a second aspect, the present invention provides an electrochemical energy storage operation mode optimization system, comprising:

[0046] A two-layer decision model building module is used to build a two-layer decision model, including an outer model and an inner model;

[0047] The wind-storage combined output calculation module is used to obtain the wind-storage combined output power based on the outer model through long-time scale input;

[0048] The emergency power support calculation module is used to calculate the emergency power support amount based on the wind-storage combined output power and the current state of the energy storage system through the inner model;

[0049] The feedback and adjustment module is used to feed back the emergency power support amount calculated by the inner model to the outer model, and the outer model adjusts the long-term scheduling strategy according to the feedback of the inner model.

[0050] In a third aspect, the present invention provides a computing device, comprising:

[0051] Memory, used to store programs;

[0052] A processor is used to execute the computer executable instructions, which, when executed by the processor, implement the steps of the electrochemical energy storage operation mode optimization method.

[0053] In a fourth aspect, the present invention provides a computer-readable storage medium, comprising: when the program is executed by a processor, the steps of implementing the electrochemical energy storage operation mode optimization method are implemented.

[0054] The beneficial effects of the present invention are as follows: the present invention takes into account the different active power demands of the power grid for energy storage, takes into account factors such as energy storage charging and discharging power, charge state and power grid constraints, adopts a two-layer decision-making model, the inner model considers the optimal system stability, and the outer model considers the long-term smoothing effect, weighs the inner and outer models, and proposes a power configuration scheme and a feasible operation mode for energy storage power stations with multiple active power demands, which provides an optimal configuration idea for power allocation of energy storage systems in multiple active power demands and multi-scenario applications, provides technical support for improving the frequency stability of power systems with a high proportion of new energy, and improves the safe and stable operation level of the power grid, which is of great value. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0056] Figure 1 A schematic diagram of a basic flow chart of a method for optimizing an electrochemical energy storage operation mode provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0057] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0058] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0059] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0060] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0061] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0062] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0063] Example 1

[0064] Reference Figure 1 , as an embodiment of the present invention, provides an electrochemical energy storage operation mode optimization method, comprising:

[0065] S1: Establish a two-layer decision-making model, including an outer model and an inner model;

[0066] In the embodiment of the present application, a bi-level decision model is established. The bi-level decision model BLP (bi-level programming, BLP) is a type of mathematical model with a master-slave hierarchical relationship structure. The objective function and constraints of the outer problem are not only related to the outer decision variables, but also depend on the optimal solution of the inner problem, and the optimal solution of the inner problem is affected by the outer decision variables. The mathematical model of bi-level programming is described as:

[0067]

[0068] Where y is the solution to the following problem:

[0069]

[0070] Among them, (O) and (I) are the outer planning and inner planning respectively; F and f are the objective functions of the outer planning and inner planning respectively; x and y are the decision variables of the outer planning and inner planning respectively; G and g are the constraints of the outer planning and inner planning respectively.

[0071] In the embodiment of the present application, the coordinated optimization operation of the active power of the energy storage system in the power grid is achieved by constructing an inner and outer layer model of energy storage participating in active power regulation. The outer layer model aims to smooth out the fluctuation of new energy on a typical day with a long-term energy storage system and a generator set to meet the steady-state power or energy demand, comprehensively considers the output of new energy, the output of conventional units and system constraints, decomposes the output of new energy, thermal power and energy storage system, and passes the allocation plan to the inner layer objective function.

[0072] In the embodiment of the present application, the inner model aims to ensure that the short-time-scale energy storage power station participates in emergency power support after an accident to meet transient power or energy requirements. The objective function is to minimize the amplitude of the system frequency falling to the lowest point after the fault, so as to determine the output power of the energy storage power station after short-time-scale adjustment. It also needs to consider the upper and lower limits of the maximum power of the energy storage power station determined by the outer model. The inner and outer models have their own objective functions and constraints.

[0073] In the embodiment of the present application, an outer model objective function is constructed. The outer model objective function is that the fluctuation amplitude of the output of new energy is minimized within a period of time T when the energy storage, new energy and conventional units are coordinated. The specific mathematical model is:

[0074]

[0075] in,

[0076] in, is the total amount of new energy fluctuation after stabilization, ΔP Rdy (t) is the corrected new energy fluctuation at the current time t, ΔP Gi and ΔP bn They represent the flexible adjustment amount that the adjustable conventional unit i and the energy storage device n can provide, and the coefficient h ij and m nj are the distribution coefficients of the two, which are deterministic variables that can be optimized, ranging from 0 to 1, N G is the number of adjustable conventional units, N b is the number of adjustable energy storage devices to be selected.

[0077] In the embodiment of the present application, the outer model considers the output constraint of the conventional unit and is expressed as:

[0078]

[0079] Among them, P Gi Corresponding to the average output level of adjustable conventional unit i at new energy The output at time is a deterministic variable; Indicates the minimum and maximum output of adjustable conventional unit i; for grid-connected units, Generally, it is the rated capacity of the adjustable unit. It is determined according to the minimum technical output limit of the unit. up and R dw It is the equivalent climbing rate of conventional units.

[0080] In the embodiment of the present application, the outer model considers the energy storage system constraints and is expressed as:

[0081]

[0082] Among them, P bn (t) is the energy storage charging and discharging power at time t; when P bn When (t)>0, it is in charging state; P bn (t)<0, it is in the discharge state; P bmax The maximum charge and discharge power allowed is usually the rated power, C soc (t) is the remaining charge state of the energy storage station at the end of time period t, D bess It is its maximum ramp rate. When energy storage participates in smoothing the fluctuation of new energy, the ramp rate is generally not less than 10% rated power / 100ms. c and λ d It is the charge and discharge flag, which can only be 0 or 1. When both are 0, it means that the energy storage system is in floating charge state, and they cannot be 1 at the same time.

[0083] In the embodiment of the present application, an inner model objective function is constructed. The inner model objective function is that the energy storage power station participates in the transient or short-time scale active power support, with the goal of reducing the amplitude of the system frequency falling to the lowest point, which is reflected in the minimum power shortage. The specific mathematical model is:

[0084]

[0085] Where ΔP t is the power shortage of the system at time t; ΔP loss P is the system power shortage after the fault; bat,Acci The active power that the energy storage support system can provide after an accident; ΔP is the rotational inertia power of the grid-connected unit after configuring the energy storage system; mis the number of measures that still need to be taken after configuring the energy storage system; n is the number of grid-connected generators.

[0086] In the embodiment of the present application, in a receiving-end power grid with multiple DC feeds, when a permanent fault such as a unipolar or bipolar blocking of the DC causes active power imbalance, the frequency begins to decay due to power shortage. The characteristic relationship of the lowest frequency point of the system after the fault can be improved by configuring energy storage, which is expressed as follows:

[0087]

[0088] Where Δf t is the frequency deviation of the system at time t; f N is the reference frequency; P L is the total active load of the system; ρ is the rotating reserve coefficient of the power grid; K G K is the frequency static characteristic coefficient of the generator set; L is the frequency static characteristic coefficient of the load. When a large power shortage occurs in the system, the system sends a command to urgently control the energy storage power station to output power according to the maximum load in the current state.

[0089] Among them, the inner model considers the energy storage system constraints as follows:

[0090]

[0091] When energy storage participates in emergency power support, the ramp rate D′ bess Not less than 50% rated power / 100ms.

[0092] S2: Based on the outer model, the wind-storage combined output power is obtained through long-time scale input;

[0093] In the embodiment of the present application, the wind-storage combined output power after stabilization is calculated. Based on a certain power grid with a high proportion of new energy, a time domain simulation calculation is carried out, an energy storage power station is configured in the vicinity of new energy, a fixed time period is selected, and the system and energy storage constraints are considered. The wind-storage combined output power regulated by the energy storage power station at different sampling times is calculated. The energy storage allocation plan is used as a constraint condition in the inner model.

[0094] S3: Based on the combined wind and energy storage output power and the current state of the energy storage system, the inner model calculates the emergency power support capacity;

[0095] In the embodiment of the present application, the power value of the energy storage that can participate in the emergency power support is calculated. The highest priority is set for the energy storage to participate in the emergency power support after the grid has a fault such as a DC bipolar blocking fault. After the fault, the energy storage emergency support amount is calculated considering the constraints such as the charge state of the energy storage power station, and the power change is fed back to the outer model. Through steps S1-S2, the ability of energy storage to subsequently smooth out the fluctuations of new energy sources on a long time scale can be corrected.

[0096] S4: Feedback the emergency power support amount calculated by the inner model to the outer model, and the outer model adjusts the long-term scheduling strategy according to the feedback from the inner model.

[0097] This embodiment also provides an electrochemical energy storage operation mode optimization system, including:

[0098] A two-layer decision model building module is used to build a two-layer decision model, including an outer model and an inner model;

[0099] The wind-storage combined output calculation module is used to obtain the wind-storage combined output power based on the outer model through long-time scale input;

[0100] The emergency power support calculation module is used to calculate the emergency power support amount based on the wind-storage combined output power and the current state of the energy storage system through the inner model;

[0101] The feedback and adjustment module is used to feed back the emergency power support amount calculated by the inner model to the outer model, and the outer model adjusts the long-term scheduling strategy according to the feedback of the inner model.

[0102] Furthermore, it also includes:

[0103] Memory, used to store programs;

[0104] A processor is used to load the program to execute the electrochemical energy storage operation mode optimization method.

[0105] This embodiment also provides a computer-readable storage medium storing a program, which, when executed by a processor, implements the electrochemical energy storage operation mode optimization method.

[0106] The storage medium proposed in this embodiment and the electrochemical energy storage operation mode optimization method proposed in the above embodiment belong to the same inventive concept. The technical details not fully described in this embodiment can be referred to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0107] Through the above description of the implementation methods, the technicians in the relevant field can clearly understand that the present invention can be implemented by means of software and necessary general hardware, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ReadOnly, Memory, ROM), random access memory (RandomAccess Memory, RAM), flash memory (FLASH), hard disk or optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform the methods of various embodiments of the present invention.

[0108] Example 2

[0109] This is an embodiment of the present invention, which provides an electrochemical energy storage operation mode optimization system, including a two-layer decision model building module, a wind-storage combined output calculation module, an emergency power support calculation module and a feedback and adjustment module;

[0110] In the embodiment of the present application, the two-layer decision model construction module includes establishing a two-layer decision model, including an outer model and an inner model;

[0111] In an embodiment of the present application, the outer model includes a long-term energy storage system and a generator set that aims to smooth out new energy fluctuations on a typical day to meet steady-state power or energy requirements, comprehensively considers new energy output, conventional unit output and system constraints, decomposes new energy output, thermal power and energy storage system output, and passes the allocation plan to the inner objective function.

[0112] In the embodiment of the present application, the inner model includes the goal of taking the short-time-scale energy storage power station participate in emergency power support after an accident to meet transient power or energy requirements. The objective function is that the system frequency drops to the lowest point after the fault with the smallest amplitude, so as to determine the output power of the energy storage power station after short-time-scale adjustment. It also needs to consider the upper and lower limits of the maximum power of the energy storage power station determined by the outer model.

[0113] In the embodiment of the present application, the inner and outer models have their own objective functions and constraints. The objective function of the outer model is to minimize the fluctuation amplitude of new energy output within a period of time T when the energy storage, new energy and conventional units are coordinated to operate; the objective function of the inner model is that the energy storage power station participates in transient or short-time scale active power support, with the goal of reducing the amplitude of the system frequency dropping to the lowest point, which is reflected in the minimum power shortage.

[0114] In an embodiment of the present application, the inner model objective function also includes a receiving-end power grid with multiple DC feeds. When a permanent fault such as a unipolar or bipolar blocking of the DC causes an active power imbalance, the frequency begins to decay due to the power shortage. The characteristic relationship of the lowest frequency point of the system after the fault can be improved by configuring energy storage.

[0115] In the embodiment of the present application, the wind-storage combined output calculation module includes obtaining the wind-storage combined output power through long-time scale input based on the outer layer model;

[0116] In the embodiment of the present application, the calculation of the wind-storage combined output power after stabilization includes carrying out time domain simulation calculation based on a certain power grid with a high proportion of new energy, configuring energy storage power stations in the vicinity of new energy, selecting a fixed time period, considering the system and energy storage constraints, and calculating the wind-storage combined output power regulated by the energy storage power station at different sampling times. And the energy storage allocation plan is used as a constraint condition in the inner model.

[0117] In the embodiment of the present application, the emergency power support calculation module includes an inner model that calculates the emergency power support amount based on the wind-storage combined output power and the current state of the energy storage system;

[0118] In an embodiment of the present application, calculating the power value at which energy storage can participate in emergency power support includes setting the highest priority for energy storage to participate in emergency power support after a grid fault such as a DC bipolar lockout fault occurs, calculating the amount of energy storage emergency support after the fault considering constraints such as the charge state of the energy storage power station, and feeding back power changes to the outer model. By establishing a two-layer decision model, constructing the outer model objective function, and calculating the combined output power of wind and storage after smoothing and the energy storage allocation power, the ability of energy storage to subsequently smooth out new energy fluctuations over a long time scale can be corrected.

[0119] In an embodiment of the present application, the feedback and adjustment module includes feeding back the emergency power support amount calculated by the inner model to the outer model, and the outer model adjusts the long-term scheduling strategy according to the feedback of the inner model.

[0120] In the embodiments of the present application, through these modules, the two-layer decision-making model can more effectively smooth out fluctuations in renewable energy, provide emergency power support, and ensure the frequency stability and reliability of the power grid in the event of a fault.

[0121] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for optimizing an electrochemical energy storage operation mode, characterized in that: include: Establish a two-layer decision-making model, including an outer model and an inner model; Based on the outer model, the wind-storage combined output power is obtained through long-time scale input; Based on the combined wind and energy storage output power and the current state of the energy storage system, the inner model calculates the emergency power support capacity; The emergency power support amount calculated by the inner model is fed back to the outer model, and the outer model adjusts the long-term scheduling strategy according to the feedback from the inner model.

2. The electrochemical energy storage operation mode optimization method according to claim 1, characterized in that: The mathematical model of the outer layer model is expressed as: The mathematical model of the inner layer model is expressed as: Among them, (O) and (I) are the outer planning and inner planning respectively; F and f are the objective functions of the outer planning and inner planning respectively; x and y are the decision variables of the outer planning and inner planning respectively; G and g are the constraints of the outer planning and inner planning respectively.

3. The electrochemical energy storage operation mode optimization method according to claim 1 or 2, characterized in that: The outer layer model comprises the following steps: The outer model objective function is established with the goal of smoothing out the fluctuation of renewable energy with long-term energy storage systems and generators on a typical day. Comprehensively consider the output of new energy, conventional units and system constraints, formulate an energy storage allocation plan and decompose the output of each part; Based on the energy storage allocation plan, the wind and energy storage combined output power after adjustment by the energy storage power station in a specific time period is calculated through time domain simulation calculation, and the energy storage allocation plan is used as a constraint condition of the inner model; The wind-storage combined output power is transferred to the inner model as the input of the inner model; Adjust the long-term scheduling strategy based on the feedback from the inner model.

4. The electrochemical energy storage operation mode optimization method according to claim 3, characterized in that: The outer model objective function is expressed as: in, in, is the total amount of new energy fluctuation after stabilization, ΔP Rdy (t) is the corrected new energy fluctuation at the current time t, ΔP Gi and ΔP bn Respectively represent adjustable conventional units i and the flexible adjustment amount that the energy storage device n can provide, the coefficient h ij and m nj are the distribution coefficients of the two, which are deterministic variables that can be optimized, ranging from 0 to 1, N G is the number of adjustable conventional units, N b is the number of adjustable energy storage devices to be selected.

5. The electrochemical energy storage operation mode optimization method according to claim 4, characterized in that: The inner layer model comprises the following steps: The objective function of the inner model is established with the goal of short-time-scale energy storage power station participating in emergency power support after an accident. When a system failure occurs, calculate the current frequency deviation; Based on the calculated frequency deviation, the wind-storage combined output power of the outer model and the current state of the energy storage system, calculate the emergency power support capacity of the energy storage system when a grid failure occurs; The emergency power support amount calculated by the inner model is fed back to the outer model.

6. The electrochemical energy storage operation mode optimization method according to claim 5, characterized in that: The inner model objective function is expressed as: Among them, ΔP t is the power shortage of the system at time t; ΔP loss P is the system power shortage after the fault; bat,Acci The active power that the energy storage support system can provide after an accident; ΔP is the rotational inertia power of the grid-connected unit after configuring the energy storage system; m is the number of measures that still need to be taken after configuring the energy storage system; n is the number of grid-connected generators.

7. The electrochemical energy storage operation mode optimization method according to claim 6, characterized in that: The calculation of the current frequency deviation is expressed as: Where Δf t is the frequency deviation of the system at time t; f N is the reference frequency; P L is the total active load of the system; ρ is the rotating reserve coefficient of the power grid; K G K is the frequency static characteristic coefficient of the generator set; L is the frequency static characteristic coefficient of the load.

8. A system based on the electrochemical energy storage operation mode optimization method according to claim 1, characterized in that: A two-layer decision model building module is used to build a two-layer decision model, including an outer model and an inner model; The wind-storage combined output calculation module is used to obtain the wind-storage combined output power based on the outer model through long-time scale input; The emergency power support calculation module is used to calculate the emergency power support amount based on the wind-storage combined output power and the current state of the energy storage system through the inner model; The feedback and adjustment module is used to feed back the emergency power support amount calculated by the inner model to the outer model, and the outer model adjusts the long-term scheduling strategy according to the feedback of the inner model.

9. A computing device, characterized in that include: Memory, used to store programs; A processor, used to load the program to execute the steps of the electrochemical energy storage operation mode optimization method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a program, characterized in that: When the program is executed by a processor, the steps of the electrochemical energy storage operation mode optimization method as described in any one of claims 1 to 7 are implemented.

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