A power grid side shared energy storage configuration method and system considering partition backup

Abstract

The application discloses a power grid side shared energy storage configuration method and system considering partition backup. The technical scheme adopted by the application is as follows: regional characteristics are extracted through a load curve and a new energy output curve of a power grid region; a partition backup coefficient is defined through a magnitude and fluctuation of the regional characteristics, so as to quantize demands of different power grid regions on backup capacity; and shared energy storage configuration of all power grid regions in the whole network is completed under the premise of meeting safe and reliable operation of a power system and demands of different regions on backup capacity. According to the regional characteristics, the partition backup capacity coefficient is adjusted, backup resource capacity in the power grid region is optimized, shared energy storage configuration of all power grid regions is completed under the premise of ensuring that backup capacity of each power grid region is reasonably reserved, and the safety and reliability of power system operation are improved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of shared energy storage power station planning in power systems, and particularly relates to a power grid side shared energy storage configuration method and system considering regional backup. BACKGROUND

[0002] The energy storage system has the characteristics of bidirectional regulation and fast response, which helps to eliminate various operating bottlenecks that may occur in the development process of the power grid and improve the power guarantee capability. By establishing shared energy storage, the demand and requirements of the new power system for flexible regulation resources can be met, and the utilization efficiency of new energy can be improved. By configuring energy storage in the region dominated by clean energy such as wind power and photovoltaic power and establishing a shared energy storage mode, the problems of lack of linkage between wind power and photovoltaic power and multi-energy complementation can be solved, and high-quality power output on the power supply side can be realized.

[0003] In terms of new energy station, a large shared energy storage system can provide auxiliary services for the system as an independent entity while meeting the demand of the new energy station. In terms of users, due to the time complementarity of energy consumption between different users, shared use of a single energy storage unit is a promising business model in the near future.

[0004] At present, the research on sharing economy lacks a systematic theoretical system, and there is an economic problem in the planning of shared energy storage compared with the independent construction of new energy storage. Therefore, the research on the demand calculation of shared energy storage in the new power system with high proportion of new energy access is an important content to promote the safe and stable operation of the power grid. SUMMARY

[0005] The purpose of the present application is to solve the problems in the prior art and provide a power grid side shared energy storage configuration method and system considering regional backup.

[0006] In order to achieve the above-mentioned purpose of the application, the following technical solutions are specifically adopted in the present application:

[0007] In the first aspect, the present application provides a power grid side shared energy storage configuration method considering regional backup, which comprises the following steps:

[0008] S1: Extracting the net load level and the net load fluctuation degree of the power grid region through the typical scene load curve and the new energy output curve of the power grid region;

[0009] S2: Taking the net load level and the net load fluctuation degree of the whole network as the benchmark, normalizing the net load level and the net load fluctuation degree of the power grid region to obtain the load partition backup coefficient and the new energy partition backup coefficient of the power grid region;

[0010] S3: adjusting the reserve capacity of each power grid region based on the load partition reserve coefficient of the power grid region and the new energy partition reserve coefficient of the power grid region, solving a target function of minimizing the total cost of the power system under the premise of meeting the operation constraints of the power grid, and taking the obtained solution as the capacity and position of the shared energy storage configuration to complete the shared energy storage configuration of each power grid region.

[0011] Based on the above scheme, each step can be implemented in the following preferred specific manner.

[0012] Preferably, in step S1, the function form of the net load magnitude level of the power grid region and the net load fluctuation degree is as follows:

[0013]

[0014] In the formula: is the net load magnitude level of the power grid region u; is the net load fluctuation degree of the power grid region u; is the load of node i at time t in scenario k; represents the load of node i at all times in scenario k; is the actual output of the wind turbine located at node i at time t in scenario k; represents the actual output of the wind turbine located at node i at all times in scenario k; is the actual output of the photovoltaic located at node i at time t in scenario k; represents the actual output of the photovoltaic located at node i at all times in scenario k; k is the probability of scenario k; |*| represents the absolute value of data *; δ(*) represents the variance of data * in a period; is the number of nodes in the power grid region u; K is the scenario set; T is the period of a scenario.

[0015] Preferably, in step S2, the function form of the total net load magnitude level and the total net load fluctuation degree is as follows:

[0016]

[0017] In the formula: are the total net load magnitude level and the total net load fluctuation degree, respectively; N d is the number of nodes in the power grid region u; K is the scenario set; T is the period of a scenario.

[0018] Preferably, in step S2, the function form of the load partition reserve coefficient of the power grid region and the new energy partition reserve coefficient of the power grid region is as follows:

[0019]

[0020] In the formula: respectively, are the load of the grid area u, the partition reserve coefficient of new energy; σ 20 , σ 30 respectively, are the load, the reserve coefficient base value of new energy.

[0021] Preferably, in step S3, the grid operation constraint condition is composed of power system node power balance constraint, energy storage constraint and partition reserve capacity constraint; the total cost f of the power system is composed of wind power abandonment cost f wind , light abandonment cost f solar , load shedding cost f ds , conventional unit operation cost f g and energy storage construction and operation cost f ess .

[0022] Preferably, in step S3, the function form of the objective function is as follows:

[0023] Min f = (f wind +f solar +f ds +f g +f ess )

[0024]

[0025] f ess = f cs +f op

[0026]

[0027] In the formula, is the maximum output of the wind turbine located at node i in scenario k at time t; C W is the wind power grid price; is the maximum output of the photovoltaic located at node i in scenario k at time t; C S is the photovoltaic grid price; is the load shedding power of node i in scenario k at time t; C D is the unit load shedding cost; P k,i (t) is the output of the conventional unit located at node i in scenario k at time t; is the conventional unit operation cost coefficient; f cs represents the energy storage construction cost; f op represents the energy storage operation and maintenance cost; C fixed is the energy storage fixed cost; C P is the energy storage unit power cost; C E is the energy storage unit capacity cost; 0-1 variable for whether to build energy storage, represents not building energy storage, represents building energy storage; respectively represent the rated power and rated capacity of the energy storage; T life represents the service life of the energy storage; r represents the discount rate; k op represents the energy storage operation and maintenance cost coefficient.

[0028] As a preferred, in step S3, the function form of the power system node power and energy balance constraint is as follows:

[0029]

[0030] In the formula, respectively represent the charging and discharging power of the energy storage located at node i in scenario k at time t; represents the line transmission power from node i to line j at time t; is the correlation coefficient of node i and line j, if the power of line j flows into node i, then takes 1, if the power of line j flows out of node i, then takes -1, if line j has no correlation with node i, then takes 0; σ is the maximum load shedding ratio.

[0031] As a preferred, in step S3, the function form of the partition reserve capacity constraint is as follows:

[0032]

[0033] In the formula, respectively represent the maximum and minimum output of the conventional unit located at node i; respectively represent the frequency up and frequency down power of the energy storage located at node i in scenario k at time t; u k,i (t) is the start-stop 0-1 variable of the conventional unit located at node i in scenario k, u k,i (t) = 0 indicates that the unit is in the off state, u k,i (t) = 1 indicates that the unit is in the on state; P k,i (t) represents the actual output of the conventional unit located at node i at time t.

[0034] As a preferred, in step S3, the function form of the energy storage constraint is as follows:

[0035]

[0036]

[0037] S k,i (0) = Sk,i (T)

[0038] S min ≤S k,i (t)≤S max

[0039] wherein, is a 0-1 variable representing the state of energy storage charging operation; is a 0-1 variable representing the state of energy storage discharging operation; S max , S min are the upper and lower limits of the state of charge of energy storage, respectively; η ch is the charging efficiency of energy storage; η dch is the discharging efficiency of energy storage; S k,i (t), S k,i (t-1) are the state of charge of energy storage at time t, t-1, respectively; S k,i (0) is the initial state of charge of energy storage; S k,i (T) is the state of charge of energy storage at time T.

[0040] In a second aspect, the present application provides a power grid side shared energy storage configuration system considering regional backup, which comprises:

[0041] a feature extraction module, configured to extract the magnitude level and fluctuation degree of net load of the power grid region through the typical scenario load curve and new energy output curve of the power grid region;

[0042] a regional backup coefficient acquisition module, configured to normalize the magnitude level and fluctuation degree of net load of the power grid region based on the magnitude level and fluctuation degree of net load of the whole grid, to obtain the load regional backup coefficient and new energy regional backup coefficient of the power grid region;

[0043] a shared energy storage configuration module, configured to adjust the backup capacity of each power grid region through the load regional backup coefficient of the power grid region and the new energy regional backup coefficient of the power grid region, to obtain the capacity and position of shared energy storage configuration as a solution result of solving a target function of minimizing the total cost of the power system under the premise of meeting the operation constraints of the power grid, to complete the shared energy storage configuration of each power grid region.

[0044] Compared with the prior art, the present application has the following beneficial effects:

[0045] Compared with the prior art, the present application provides a power grid side shared energy storage configuration method and system considering regional backup, which completes the shared energy storage configuration of each power grid region under the premise of ensuring reasonable backup capacity of each power grid region, and improves the safety and reliability of power system operation. BRIEF DESCRIPTION OF DRAWINGS

[0046] Figure 1 A flow chart of the steps of the method of the present application;

[0047] Figure 2 A partition topology diagram of a 500kV and above power transmission network in a certain coastal province of the present application;

[0048] Figure 3 A system block diagram of the present application. DETAILED DESCRIPTION

[0049] In order to make the above objectives, characteristics and advantages of the present application more obvious and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the drawings. In the following description, a large number of specific details are set forth in order to facilitate a thorough understanding of the present application. However, the present application can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without departing from the concept of the present application, so the present application is not limited to the specific embodiments disclosed below. The technical features in each embodiment of the present application can be combined accordingly without conflict.

[0050] As shown in Figure 1 in a preferred implementation of the present application, the above-mentioned power grid side shared energy storage configuration method considering partition backup includes the following S1-S3 steps. The specific implementation process will be described below.

[0051] S1: Extract the magnitude level and fluctuation degree of the net load of the power grid area through the typical scenario load curve and new energy output curve of the power grid area.

[0052] It should be noted that in step S1 of the present application, the regional characteristics of the power grid area are extracted through the typical scenario load curve and new energy output curve of the power grid area, specifically the magnitude level of the net load of the power grid area and the fluctuation degree of the net load of the power grid area. In this embodiment, the net load variance of the power grid area is used to represent the fluctuation degree of the net load in the power grid area, which reflects the demand for backup capacity in the power grid area. The greater the net load variance, the greater the demand for backup capacity; the net load base of the power grid area is used to represent the magnitude level of the net load in the power grid area. The greater the net load base of the power grid area, the greater the demand for backup capacity under the same prediction error.

[0053] In this embodiment, the function form of the magnitude level of the net load of the power grid area and the fluctuation degree of the net load of the power grid area is as follows:

[0054]

[0055] In the formula: is the magnitude level of the net load of the power grid area u; the net load fluctuation degree of the power grid region u; the load of node i in scenario k at time t; the load of node i in scenario k at all times; the actual output of the wind turbine located at node i in scenario k at time t; the actual output of the wind turbine located at node i in scenario k at all times; the actual output of the photovoltaic located at node i in scenario k at time t; the actual output of the photovoltaic located at node i in scenario k at all times; k the probability of scenario k; |*| represents the absolute value of data *; δ(*) represents the variance of data * in a period; N is the number of nodes in the power grid region u; K is the set of scenarios; and T is the period of a scenario.

[0056] S2: Taking the magnitude level of the net load of the whole grid and the fluctuation degree of the net load of the whole grid as the benchmark, the magnitude level of the net load of the power grid region and the fluctuation degree of the net load of the power grid region are standardized to obtain the load partition reserve coefficient of the power grid region and the new energy partition reserve coefficient of the power grid region.

[0057] It should be noted that in step S2 of the present application, the two partition reserve coefficients are defined by the magnitude and fluctuation of the region characteristics of the power grid region, so as to quantify the demand of different power grid regions for reserve capacity.

[0058] In the present embodiment, the function forms of the magnitude level of the net load of the whole grid and the fluctuation degree of the net load of the whole grid are as follows:

[0059]

[0060] In the formula: respectively, the magnitude level of the net load of the whole grid and the fluctuation degree of the net load of the whole grid, both of which are used to represent the average level of the power system characteristics at the node, and are a kind of node characteristics; N d is the number of nodes of the power system.

[0061] The function forms of the load partition reserve coefficient of the power grid region and the new energy partition reserve coefficient of the power grid region are as follows:

[0062]

[0063] In the formula: respectively, the partition reserve coefficients of the load and new energy of the power grid region u; σ 20 , σ 30 respectively, the base values of the load and new energy reserve coefficients.

[0064] S3: adjusting the reserve capacity of each power grid region based on the load partition reserve coefficient of the power grid region and the new energy partition reserve coefficient of the power grid region, solving a target function with the lowest total cost of the power system as the objective function under the premise of meeting the power grid operation constraint condition, and taking the obtained solving result as the capacity and position of the shared energy storage configuration to complete the shared energy storage configuration of each power grid region.

[0065] It should be noted that in step S3 of the present application, the power grid operation constraint condition is composed of power system node power and energy balance constraint, energy storage constraint and partition reserve capacity constraint. The power system node power and energy balance constraint is obtained by traversing the power system node set S, so that all nodes of the power system meet the power and energy balance constraint. The partition reserve capacity constraint is obtained by traversing the power grid region set U, so that the partition reserve capacity constraint is met in each power grid region.

[0066] It should be noted that in step S3 of the present application, the total cost f of the power system is composed of the wind power abandonment cost f wind , the light power abandonment cost f solar , the load shedding cost f ds , the conventional unit operation cost f g and the energy storage construction and operation cost f ess .

[0067] In this embodiment, the function form of the target function is as follows:

[0068] Min f=(f wind +f solar +f ds +f g +f ess )

[0069]

[0070] f ess =f cs +f op

[0071]

[0072] In the formula, is the maximum output of the wind turbine located at node i in scenario k at time t; C W is the wind power grid access price; is the maximum output of the photovoltaic located at node i in scenario k at time t; C S is the photovoltaic grid access price; is the load shedding power of node i in scenario k at time t; C D is the unit load shedding cost; P k,i(t) is the output of the conventional unit located at node i in scenario k at time t; is the operation cost coefficient of the conventional unit; f cs represents the construction cost of the energy storage; f op represents the operation and maintenance cost of the energy storage; C fixed is the fixed cost of the energy storage; C P is the unit power cost of the energy storage; C E is the unit capacity cost of the energy storage; is a 0-1 variable of whether to build the energy storage, represents not building the energy storage, represents building the energy storage; are the rated power and rated capacity of the energy storage, respectively; T life is the service life of the energy storage; r is the discount rate; k op is the operation and maintenance cost coefficient of the energy storage.

[0073] In the embodiment, the function form of the power system node power and energy balance constraint is as follows:

[0074]

[0075] In the formula, are the charging and discharging power of the energy storage located at node i in scenario k at time t, respectively; represents the line transmission power from node i to line j at time t; is the association coefficient of node i and line j, if the power of line j flows into node i, then takes 1, if the power of line j flows out of node i, then takes -1, if line j has no association with node i, then takes 0; σ is the maximum load shedding ratio.

[0076] In the embodiment, the function form of the partition reserve capacity constraint is as follows:

[0077]

[0078] In the formula, are the maximum and minimum output of the conventional unit located at node i, respectively; are the up-regulation and down-regulation power of the energy storage located at node i in scenario k at time t, respectively; u k,i (t) is the start-stop 0-1 variable of the conventional unit located at node i in scenario k, u k,i (t) = 0 indicates that the unit is in the shutdown state, u k,i (t) = 1 indicates that the unit is in the start state; P k,i (t) represents the actual output of the conventional unit located at node i at time t.

[0079] In this embodiment, the functional form of the energy storage constraint is as follows:

[0080]

[0081] S k,i (0)=S k,i (T) (7)

[0082] S min ≤S k,i (t)≤S max (8)

[0083] In the formula, A 0-1 variable representing the working state of energy storage charging; S represents a 0-1 variable indicating the operating state of energy storage discharge. max S min These are the upper and lower limits of the energy storage state of charge, respectively; η ch For energy storage charging efficiency; η dch For energy storage discharge efficiency; S k,i (t), S k,i (t-1) represent the energy storage state of charge at times t and t-1, respectively; S k,i (0) represents the initial energy storage state of charge; S k,i (T) represents the state of charge of the stored energy at time T.

[0084] Furthermore, in this embodiment, equations (1) and (2) are upper and lower limits of energy storage power constraints, equation (3) is an energy storage operating state constraint to ensure that the energy storage cannot charge and discharge simultaneously; equation (4) is an energy storage frequency regulation power constraint to ensure that the energy storage has sufficient power to provide frequency regulation services; equation (5) uses the 0-1 variables of the energy storage site. Limit the energy storage power to achieve energy storage location at the whole network node level; Equations (6)-(8) are the energy storage capacity constraints and state of charge constraints.

[0085] The present invention will now demonstrate the application effect of the grid-side shared energy storage configuration method considering partitioned backup described in S1 to S3 of the above embodiments on a specific dataset through a specific example, so as to facilitate understanding of the essence of the present invention.

[0086] Example

[0087] The specific implementation process of the grid-side shared energy storage configuration method considering partitioned backup adopted in this embodiment is as described above and will not be repeated here.

[0088] This embodiment uses MATLAB software to write the method of the present invention, calls Gurobi for solving, and demonstrates the implementation effect for example data.

[0089] Operating environment:

[0090] Intel Core i5-4200H CPU 2.80GHz, 8GB memory, Microsoft Windows 10X64

[0091] Gurobi 9.5.2

[0092] MATLAB 2021B

[0093] Implementation results:

[0094] This embodiment is based on the network structure and regional division of a coastal province in eastern China in 2022, as well as the actual operation data of conventional units, wind farms, photovoltaic farms and already-operated pumped storage power stations, to predict the relevant data of the province in 2025, and to take it as the input of production simulation and shared energy storage optimization configuration for example analysis. The network structure in 2022 is shown in Figure 2 Figure 2 There are 65 nodes and 81 lines in the Communist Party of China, and the load, new energy reserve coefficient base is 5% (load reserve 3%, accident reserve 2%) and 10% respectively; the maximum allowable load rate of the line is 0.9; the maximum wind and light rejection rate is 5%; the maximum load shedding ratio is 5%; the already-operated pumped storage power station participates in the grid operation in the form of energy storage.

[0095] Table 1 is the adjustment value of the reserve coefficient of each region in the embodiment of the present application. Under the adjustment of the partition reserve coefficient, although the reserve coefficients of region one, region five and region eight increase significantly, the number of nodes in the region is small, the overall load and new energy level in the region is low, and the reserve capacity base is small; on the contrary, the number of nodes in region three, region six and region seven is large, and the reserve capacity base is large, but the reserve coefficient of the region decreases.

[0096] Table 1. Adjustment value of reserve coefficient of each region in the embodiment of the present application

[0097]

[0098] Table 2. Shared energy storage configuration results in the embodiment of the present application

[0099]

[0100]

[0101] ​Table 2 is the sharing energy storage configuration result in the application example of the present application. As shown in Table 2, not all areas need to be configured with energy storage, although the partition backup coefficient adjustment value of area eight is large, but due to the small load base value in the area, and there is a pumped storage power station to provide backup resources, so there is no need to configure new energy storage; on the contrary, the backup coefficient adjustment value of area seven is small, but the internal new energy penetration rate of the area is high, the load base value is large, and the flexible adjustment resource is relatively scarce, so it is necessary to configure new energy storage to provide flexible support.

[0102] In addition, it should be noted that the power grid side shared energy storage configuration method considering partition backup in the above embodiment can be essentially executed by a computer program or module. Therefore, based on the same inventive concept, another preferred embodiment of the present application also provides a power grid side shared energy storage configuration system corresponding to the power grid side shared energy storage configuration method considering partition backup provided by the above embodiment, as shown in Figure 3 , which comprises:

[0103] The feature extraction module is configured to extract the net load magnitude level and the net load fluctuation degree of the power grid area through the typical scenario load curve and the new energy output curve of the power grid area.

[0104] The partition backup coefficient acquisition module is configured to normalize the net load magnitude level and the net load fluctuation degree of the power grid area based on the total net load magnitude level and the total net load fluctuation degree of the power grid area, to obtain the load partition backup coefficient and the new energy partition backup coefficient of the power grid area.

[0105] The shared energy storage configuration module is configured to adjust the backup capacity of each power grid area by the load partition backup coefficient of the power grid area and the new energy partition backup coefficient of the power grid area, to solve the target function of minimizing the total cost of the power system under the premise of meeting the power grid operation constraints, and to obtain the solving result as the capacity and position of the shared energy storage configuration, to complete the shared energy storage configuration of each power grid area.

[0106] In addition, it should be noted that those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the system described above can refer to the corresponding process in the foregoing method embodiments, which will not be described here. In each embodiment provided in the present application, the division of steps or modules in the system and method is only a logical functional division, and another division mode can be used in actual implementation, for example, multiple modules or steps can be combined or integrated together, or a module or step can be split.

[0107] The above-described embodiments are only the preferred ones of the present application, and are not intended to limit the present application. Those skilled in the art can make various changes and modifications without departing from the spirit and scope of the present application. Therefore, any technical solutions obtained by equivalent replacement or equivalent transformation shall fall within the protection scope of the present application.

Claims

1. A grid-side shared energy storage configuration method considering zoned backup, characterized in that, The method comprises the following steps: S1: extracting the magnitude level and fluctuation degree of the net load of the power grid region through the typical scenario load curve and the new energy output curve of the power grid region; S2: taking the magnitude level and fluctuation degree of the net load of the whole grid as the benchmark, standardizing the magnitude level and fluctuation degree of the net load of the power grid region to obtain the load partition reserve coefficient and the new energy partition reserve coefficient of the power grid region; S3: adjusting the reserve capacity of each power grid region based on the load partition reserve coefficient and the new energy partition reserve coefficient of the power grid region, taking the minimum total cost of the power system as the objective function under the premise of meeting the operation constraints of the power grid, solving the objective function, and taking the obtained solution as the capacity and position of the shared energy storage configuration to complete the shared energy storage configuration of each power grid region; In step S1, the function form of the magnitude level and fluctuation degree of the net load of the power grid region is as follows: ； ； In the formula: is the grid area net load magnitude level; is the grid area net load fluctuation degree; is the scenario node at time load; represents the scenario node at all times load; is the scenario located at node at time actual output of the wind turbine; represents the scenario located at node at all times actual output of the wind turbine; is the scenario located at node at time actual output of the photovoltaic; represents the scenario located at node at all times actual output of the photovoltaic; is the probability of the scenario ; represents the absolute value of the data ; represents the variance of the data in a period; is the number of nodes in the grid area ; is the scenario set; is the period of a scenario; In step S2, the function form of the magnitude level and fluctuation degree of the net load of the whole grid is as follows: ； ； In the formula, respectively, are the magnitude level and fluctuation degree of the total network net load; is the number of nodes of the power system.

2. The grid-side shared energy storage configuration method considering partitioned backup of claim 1, wherein, In step S2, the function form of the load partition reserve coefficient of the power grid region and the new energy partition reserve coefficient of the power grid region is as follows: ； ； In the formula: , are respectively the partition reserve coefficient of the power grid area load and new energy; , are respectively the base value of the load and new energy reserve coefficient.

3. The grid-side shared energy storage configuration method considering zoned backup of claim 2, wherein, In step S3, the grid operation constraints are composed of power flow and energy balance constraints of power system nodes, energy storage constraints, and partitioned reserve capacity constraints; the total cost of the power system is composed of wind curtailment cost , light curtailment cost , load shedding cost , conventional unit operation cost , and energy storage construction and operation cost . ​ 4. The grid-side shared energy storage configuration method considering partitioned backup of claim 3, wherein, In step S3, the function form of the objective function is as follows: ； ； ； ； ； ； ； ； wherein, is the maximum output of the wind turbine located at node in scenario at time ; is the wind power on-grid price; is the maximum output of the photovoltaic located at node in scenario at time ; is the photovoltaic on-grid price; is the shed load power of node in scenario at time ; is the unit shed load cost; is the output of the conventional unit located at node in scenario at time ; is the conventional unit operation cost coefficient; represents the construction cost of the energy storage; represents the operation and maintenance cost of the energy storage; is the fixed cost of the energy storage; is the unit power cost of the energy storage; is the unit capacity cost of the energy storage; is the 0-1 variable of whether to construct the energy storage, represents not constructing the energy storage, represents constructing the energy storage; , are the rated power and rated capacity of the energy storage, respectively; is the service life of the energy storage; is the discount rate; is the operation and maintenance cost coefficient of the energy storage.

5. The grid-side shared energy storage configuration method considering zoned backup of claim 4, wherein, In step S3, the function form of the power system node power balance constraint is as follows: ； ； In the formula, , Scenes Located in the node Energy storage at time The charging and discharging power; Indicates at time From node To the line The line transmission power; For nodes With the line The correlation coefficient, if the line Power flows into the node ,but Take 1, if the line Power outflow node ,but Take -1, if the line With nodes If there is no correlation, then Set to 0; This represents the maximum load shedding ratio.

6. The grid-side shared energy storage configuration method considering zoned backup of claim 5, wherein, In step S3, the function form of the partition reserve capacity constraint is as follows: ； ； In the formula, , are the maximum and minimum power of the conventional generating units at the node , respectively; , are the up-regulation and down-regulation power of the energy storage at the node at the time in the scenario , respectively; is the 0-1 variable of the start-stop of the conventional generating unit at the node in the scenario , indicates that the unit is in the shutdown state, indicates that the unit is in the start state; indicates the actual power of the conventional generating unit at the node at the time .

7. The grid-side shared energy storage configuration method considering zoned backup of claim 6, wherein, In step S3, the function form of the energy storage constraint is as follows: ； ； ； ； ； ； ； ； wherein, is a 0-1 variable representing the energy storage charging operating state; is a 0-1 variable representing the energy storage discharging operating state; are the upper and lower limits of the energy storage state of charge, respectively; is the energy storage charging efficiency; is the energy storage discharging efficiency; are the energy storage state of charge at time , , respectively; is the initial energy storage state of charge; is the energy storage state of charge at time .

8. A grid side shared energy storage configuration system considering zoned backup, characterized in that, A power grid side shared energy storage configuration method considering partition reserve is implemented.

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