Operation scheduling method for new energy cluster and multi-shared energy storage system considering power satisfaction

Abstract

The application discloses a kind of new energy cluster and the operation scheduling method of multiple shared energy storage system considering power satisfaction, comprising: 1) propose power satisfaction index, establish multiple side bidding operation mode based on power satisfaction;2) establish wind farm group members eliminate deviation model by multiple shared energy storage;3) propose new energy cluster and the joint operation scheduling strategy of multiple shared energy storage system.The application is based on the concept of sharing, combined with existing energy storage operation mode, proposes the operation scheduling strategy of new energy cluster and multiple shared energy storage system considering power satisfaction, which can reduce new energy scheduling error, thereby reducing new energy scheduling deviation loss;Verify the feasibility of renting multiple shared energy storage, replacing a large-capacity energy storage power station with multiple small-capacity energy storage power stations may be more conducive to reducing grid deviation.

Description

Technical Field

[0001] This invention relates to shared energy storage, bidding operation mode and modeling technology, specifically to an operation scheduling method for new energy clusters and multiple shared energy storage systems that considers power satisfaction. Background Technology

[0002] The randomness and intermittency of renewable energy generation may lead to significant curtailment of wind and solar power, thus necessitating increased power system flexibility. Energy storage, as a controllable device, is a crucial resource for addressing this issue and has become a key technology and equipment supporting new power systems.

[0003] However, some issues have not yet been considered in current research. The impact of the number of shared energy storage units on system operation has not been thoroughly studied; therefore, research on the joint operation of multiple entities and multiple shared energy storage units is of great significance. Furthermore, the issue of energy trading and sharing within multiple new energy power plants has not been deeply investigated. Directly utilizing shared energy storage for trading with new energy power plants to mitigate the uncertainty of new energy output would lead to frequent charging and discharging of shared energy storage, resulting in rapid degradation of its cycle life, which is detrimental to the recycling and economic viability of shared energy storage. Therefore, research on energy trading and sharing within multiple new energy power plants is of great importance. Summary of the Invention

[0004] The present invention addresses the shortcomings of the existing technology by proposing an operation scheduling method for new energy clusters and multi-shared energy storage systems that considers power satisfaction. The aim is to enable resource sharing and mutual compensation within the new energy cluster, thereby saving on the lifespan of shared energy storage and reducing resource depletion in the new energy cluster.

[0005] To achieve the above objectives, the present invention adopts the following technical solution:

[0006] This invention provides an operation scheduling method for new energy clusters and multi-shared energy storage systems that considers power satisfaction, characterized by the following steps:

[0007] Step 1: Establish a multilateral bidding operation model based on power satisfaction.

[0008] Step 1.1: Establish a power satisfaction index model using equation (1):

[0009]

[0010] In equation (1), Sa represents the power satisfaction of the new energy group members, and its value ranges from 0 to 100%; P i The power demand for bidding by the i-th new energy group member; P i tra The power successfully eliminated by the i-th new energy group member, which is less than the bid power demand P. i;

[0011] Step 1.2: Establish a multilateral bidding operation model based on power satisfaction using equations (2), (3), and (4):

[0012]

[0013] In equations (2), (3), and (4), Sa i,j,ch Sa represents the power satisfaction of the i-th new energy group member at time t regarding the bidding for charging power demand; i,j,dch Sa represents the power satisfaction of the j-th new energy group member at time t regarding the bidding discharge power demand; mul This represents the total power satisfaction of all members of the new energy group; Let be the charging power demand bid by the i-th new energy group member at time t, and Less than 0; Let be the discharge power demand of the i-th new energy group member at time t, and Greater than 0; Let n be the magnitude of the power canceled out between the i-th and j-th new energy group members at time t; n represents the number of new energy group members, and T represents the total scheduling time.

[0014] Calculate the charging power requirement using equations (5) and (6) and discharge power requirements

[0015]

[0016] In equations (5) and (6), For the i-th new energy group member, predict the intraday power generation at time t. Let be the grid dispatch power of the i-th renewable energy group member at time t. Let be the scheduling deviation of the i-th new energy group member at time t;

[0017] Step 2: Establish a model for eliminating bias by combining multiple shared energy storage systems among members of the wind farm cluster;

[0018] Step 2.1: Establish a residual power demand calculation model using equations (7) and (8):

[0019]

[0020] In equations (7) and (8), Let represent the remaining charging power demand of the i-th new energy group member at time t; Let represent the remaining discharge power demand of the i-th renewable energy group member at time t;

[0021] Step 2.2: Establish a joint operation and scheduling model for the new energy cluster and multiple shared energy storage systems using equation (9):

[0022]

[0023] In formula (9), Represents the objective function of the entire scheduling system; This represents the grid connection objective function for new energy sources after eliminating dispatch deviations; This represents the objective function of the new energy group members after multilateral bidding operation and the elimination of bias through shared energy storage; The objective function representing the shared energy storage charging or discharging from the grid; The objective function representing the cycle life decay loss of shared energy storage;

[0024] Step 2.3: Establish charging and discharging constraints and energy storage capacity constraints for shared energy storage;

[0025] Step 2.4: Use a solver to solve the joint operation and scheduling model of the new energy cluster and multiple shared energy storage systems to obtain the operation and scheduling scheme of the new energy cluster and multiple shared energy storage systems, including: the offsetting power between members of the new energy cluster and the charging and discharging power of shared energy storage.

[0026] Step 3: Propose a joint operation and scheduling strategy for new energy clusters and multi-shared energy storage systems;

[0027] Step 3.1: The new energy group members use the day-ahead forecast power curve as the intraday dispatch power curve, and compare the intraday forecast power curve with the intraday dispatch power curve to obtain the dispatch deviation curve, which is the power demand bid by the new energy group members to the power platform.

[0028] Step 3.2: The power platform determines the bidding charging demand power or bidding discharging demand power of the new energy group members based on the positive or negative sign of their bidding power demand. Then, it cancels out the bidding charging demand power or bidding discharging demand power through a multilateral bidding operation model based on power satisfaction, thus obtaining the offsetting power among the new energy group members.

[0029] Step 3.3: Calculate the remaining bidding discharge power demand or bidding charging power demand of the new energy group members based on the offset power of the new energy group members; then, according to the joint operation and scheduling model of the new energy cluster and multiple shared energy storage, the remaining bidding discharge power demand or bidding charging power demand needs to be further offset in order to eliminate the power demand of the new energy group members.

[0030] The operation and scheduling method for new energy clusters and multi-shared energy storage systems considering power satisfaction, as described in this invention, is characterized in that step 2.2 includes the following steps:

[0031] Step 2.2.1: Use equations (10), (11), and (12) to establish the grid connection objective function for new energy sources after eliminating dispatch deviations.

[0032]

[0033] In equations (10), (11), and (12), Let C be the grid-connected power of the i-th renewable energy group member at time t; con The power coefficient for grid-connected new energy sources; Let be the final scheduling deviation of the i-th new energy group member at time t; The charging and discharging power of the k-th shared energy storage at time t is used to eliminate the deviation of the i-th new energy group member; M is the number of shared energy storage power stations; Δt is the scheduling time interval;

[0034] Step 2.2.2: Use equation (13) to establish the objective function of the new energy group members after multilateral bidding operation and shared energy storage to eliminate bias.

[0035]

[0036] In equation (13), C dev This represents the dispatch deviation loss coefficient for new energy sources.

[0037] Step 2.2.3: Use equation (14) to establish the objective function for charging or discharging shared energy storage from the grid.

[0038]

[0039] In formula (14), Let be the power discharged to the grid by the k-th shared energy storage at time t; Let be the power of the k-th shared energy storage unit charged from the grid at time t; The power factor for shared energy storage discharge to the grid; The power factor for charging shared energy storage from the grid;

[0040] Step 2.2.4: Establish the objective function for cycle life decay loss of shared energy storage using equations (15)-(20).

[0041]

[0042]

[0043] In equations (15)-(20), Let be the number of cycles for the k-th shared energy storage under a 100% depth of discharge condition; This represents the daily cumulative cycle count for the k-th shared energy storage, i.e., the equivalent cycle count. This represents the maximum installed capacity of the k-th shared energy storage unit. Let be the capacity parameter of the k-th shared energy storage; Let's consider the charging and discharging state of the k-th shared energy storage at time t. Indicates shared energy storage charging. Indicates shared energy storage discharge. The charging and discharging state of the k-th shared energy storage at time t-1; The charge-discharge conversion characteristics of the k-th shared energy storage at time t; For the k-th shared energy storage unit, the accumulated charging or discharging amount at time t, Accumulate the charging or discharging power of the k-th shared energy storage at time t-1; Let be the used capacity of the k-th shared energy storage at time t; Let be the used capacity of the k-th shared energy storage at time t-1. For the k-th shared energy storage at time t, with discharge depth The number of cycles required for one complete charge-discharge cycle; Number of loops The conversion factor for the equivalent number of cycles at 100% depth of discharge; Number of loops The conversion factor for the equivalent number of cycles at 100% depth of discharge; For the k-th shared energy storage at time t-1, with discharge depth The number of cycles required to complete one full charge-discharge cycle.

[0044] The present invention provides an electronic device, including a memory and a processor, characterized in that the memory is used to store a program supporting the processor in executing the method, and the processor is configured to execute the program stored in the memory.

[0045] The present invention provides a computer-readable storage medium storing a computer program, characterized in that the computer program is executed by a processor to perform the steps of the method.

[0046] Compared with existing technologies, the beneficial effects of this invention are reflected in:

[0047] 1. The power satisfaction model proposed in this invention can mobilize new energy power plants to participate in the multilateral bidding operation mode and can measure the satisfaction of new energy group members in participating in the bidding. The multilateral bidding transaction mode based on the satisfaction of the transaction power can eliminate the scheduling deviation of new energy group members in advance, save the life loss of leased shared energy storage, and help reduce the grid connection loss of new energy power plants.

[0048] 2. The new energy cluster and multi-shared energy storage system operation scheduling method considering power satisfaction proposed in this invention verifies the following conclusion: When new energy power stations utilize shared energy storage or establish energy storage to eliminate deviations, under the condition that the scheduling deviation of the new energy power station is positive or negative for a continuous period of time, replacing a large-capacity energy storage power station with multiple small-capacity energy storage power stations may be more conducive to reducing grid connection deviations. Attached Figure Description

[0049] Figure 1 The flowchart illustrates the operation and scheduling method for new energy clusters and multi-shared energy storage systems that considers power satisfaction, as presented in this invention.

[0050] Figure 2 This is a schematic diagram illustrating the relationship between power satisfaction and successful power cancellation in this invention. Detailed Implementation

[0051] In this embodiment, a method for scheduling the operation of a new energy cluster and a multi-shared energy storage system considering power satisfaction is as follows: First, the new energy cluster members submit their day-ahead predicted power, and this curve is used as the intraday scheduling power; they also submit their intraday predicted power and compare it with the intraday scheduling power to obtain the scheduling deviation. The power demand bid by the new energy cluster members to the power platform is the scheduling deviation; second, the power platform determines the bidding charging demand power or bidding discharging demand power of the new energy cluster members based on the positive or negative sign of their bid power demand, and then conducts transactions through a multilateral bidding operation mode based on power satisfaction to calculate the offsetting power among the new energy cluster members; finally, based on the offsetting power of the new energy cluster members, the remaining bidding discharging power demand or bidding charging power demand of the new energy cluster members is calculated; then, the power demand of the new energy cluster members is further eliminated according to the joint operation model of multiple shared energy storage systems. Figure 1 As shown, specifically, the method is carried out in the following steps:

[0052] Step 1: Establish a multilateral bidding operation model based on power satisfaction.

[0053] The satisfaction level of the transaction power is an indicator proposed in this chapter to consider the bidding intentions of new energy power stations and ensure their participation in the bidding process.

[0054] Step 1.1: Establish a power satisfaction index model using equation (1):

[0055]

[0056] In equation (1), Sa represents the power satisfaction of the new energy group members, and its value ranges from 0 to 100%, as follows: Figure 2 As shown; P iThe power demand for bidding by the i-th new energy group member; P i tra The power successfully eliminated by the i-th new energy group member, which is less than the bid power demand P. i ;

[0057] As in equation (1) and Figure 2 As shown, the maximum power satisfaction rate of a new energy group member in a single bid is 100%, which means that the power demand of the new energy power plant bid is fully met and the new energy group member is completely satisfied with the bid; the minimum value is 0%, which means that the power demand of the new energy group member bid is not offset and the new energy group member is not satisfied with the bid.

[0058] Step 1.2: Establish a multilateral bidding operation model based on power satisfaction using equations (2), (3), and (4):

[0059]

[0060] In equations (2), (3), and (4), Sa i,j,ch Sa represents the power satisfaction of the i-th new energy group member at time t regarding the bidding for charging power demand; i,j,dch Sa represents the power satisfaction of the j-th new energy group member at time t regarding the bidding discharge power demand; mul This represents the total power satisfaction of all members of the new energy group; Let be the charging power demand bid by the i-th new energy group member at time t, and Less than 0; Let be the discharge power demand of the i-th new energy group member at time t, and Greater than 0; Let n be the magnitude of the power canceled out by the i-th and j-th new energy group members at time t; n represents the number of new energy group members, and T represents the total scheduling time.

[0061] Calculate the charging power requirement using equations (5) and (6) and discharge power requirements

[0062]

[0063] In equations (5) and (6), For the i-th new energy group member, predict the intraday power generation at time t. Let be the grid dispatch power of the i-th renewable energy group member at time t. Let represent the scheduling deviation of the i-th new energy group member at time t.

[0064] Step 2: Establish a model for eliminating bias by combining multiple shared energy storage systems among members of the wind farm cluster;

[0065] Generally, the discharge power demand and charging power demand of new energy group members at time t are not equal. Therefore, the demanded power is surplus after being offset by the multilateral bidding operation model based on power satisfaction.

[0066] Step 2.1: Establish a residual power demand calculation model using equations (7) and (8):

[0067]

[0068] In equations (7) and (8), Let represent the remaining charging power demand of the i-th new energy group member at time t; Let represent the remaining discharge power demand of the i-th renewable energy group member at time t;

[0069] The remaining power demand of renewable energy cluster members is calculated using a residual power demand model. An agreement is then reached between the power platform and shared energy storage power stations to dispatch the shared energy storage, thereby eliminating the residual power demand of the renewable energy cluster members and further reducing renewable energy dispatch deviations. At any given time, the residual power demand of renewable energy cluster members consists only of charging power demand or discharging power demand.

[0070] Step 2.2: Considering the impact of the number of rented shared energy storage power stations on eliminating deviations, a joint operation and scheduling model of the new energy cluster and multiple shared energy storage stations is established using equation (9):

[0071]

[0072] In formula (9), Represents the objective function of the entire scheduling system; This represents the grid connection objective function for new energy sources after eliminating dispatch deviations; This represents the objective function of the new energy group members after multilateral bidding operation and the elimination of bias through shared energy storage; The objective function representing the shared energy storage charging or discharging from the grid; This represents the objective function for the cycle life decay loss of shared energy storage.

[0073] Step 2.3: Use equations (10), (11), and (12) to establish the grid connection objective function for new energy sources after eliminating dispatch deviations.

[0074]

[0075] In equations (10), (11), and (12), Let C be the grid-connected power of the i-th renewable energy group member at time t;con The power coefficient for grid-connected new energy sources; Let be the final scheduling deviation of the i-th new energy group member at time t; Δt represents the charging and discharging power of the k-th shared energy storage at time t to eliminate the deviation of the i-th new energy group member; M is the number of shared energy storage power stations; Δt is the scheduling time interval.

[0076] Step 2.4: Use equation (13) to establish the objective function of the new energy group members after multilateral bidding operation and shared energy storage to eliminate bias.

[0077]

[0078] In equation (13), C dev This represents the dispatch deviation loss coefficient for new energy sources.

[0079] Step 2.5: Use equation (14) to establish the objective function for charging or discharging shared energy storage from the grid.

[0080]

[0081] Let be the power discharged to the grid by the k-th shared energy storage at time t; Let be the power of the k-th shared energy storage unit charged from the grid at time t; The power factor for shared energy storage discharge to the grid; The power factor for charging shared energy storage from the grid.

[0082] Step 2.6: Establish the objective function for cycle life decay loss of shared energy storage using equations (15)-(20).

[0083]

[0084] In equations (15)-(20), Let be the number of cycles for the k-th shared energy storage under a 100% depth of discharge condition; This represents the daily cumulative cycle count for the k-th shared energy storage, i.e., the equivalent cycle count. This represents the maximum installed capacity of the k-th shared energy storage unit. Let be the capacity parameter of the k-th shared energy storage; Let's consider the charging and discharging state of the k-th shared energy storage at time t. Indicates shared energy storage charging. Indicates shared energy storage discharge. The charging and discharging state of the k-th shared energy storage at time t-1; The charge-discharge conversion characteristics of the k-th shared energy storage at time t; For the k-th shared energy storage unit, the accumulated charging or discharging amount at time t, Accumulate the charging or discharging power of the k-th shared energy storage at time t-1; Let be the used capacity of the k-th shared energy storage at time t; Let be the used capacity of the k-th shared energy storage at time t-1. For the k-th shared energy storage at time t, with discharge depth The number of cycles required for one complete charge-discharge cycle; Number of loops The conversion factor for the equivalent number of cycles at 100% depth of discharge; Number of loops The conversion factor for the equivalent number of cycles at 100% depth of discharge; For the k-th shared energy storage at time t-1, with discharge depth The number of cycles required to complete one full charge-discharge cycle.

[0085] Step 2.7: Establish charging and discharging constraints and energy storage capacity constraints for shared energy storage;

[0086] Step 2.8: Use a solver to solve the joint operation and scheduling model of the new energy cluster and multiple shared energy storage systems to obtain the operation and scheduling scheme of the new energy cluster and multiple shared energy storage systems, including the offsetting power between members of the new energy cluster and the charging and discharging power of shared energy storage.

[0087] Step 3: Propose a joint operation and scheduling strategy for new energy clusters and multi-shared energy storage systems;

[0088] New energy power stations form a new energy power cluster through agreements, with one new energy power station corresponding to one member of the new energy cluster.

[0089] Step 3.1: The new energy group members use the day-ahead forecast power curve as the intraday dispatch power curve, and compare the intraday forecast power curve with the intraday dispatch power curve to obtain the dispatch deviation curve, which is the power demand bid by the new energy group members to the power platform.

[0090] Step 3.2: The power platform determines the bidding charging demand power or bidding discharging demand power of the new energy group members based on the positive or negative sign of their bidding power demand. Then, it cancels out the bidding charging demand power or bidding discharging demand power through a multilateral bidding operation model based on power satisfaction, thus obtaining the offsetting power among the new energy group members.

[0091] Step 3.3: Calculate the remaining bidding discharge power demand or bidding charging power demand of the new energy group members based on the offset power of the new energy group members; then, according to the joint operation and scheduling model of the new energy cluster and multiple shared energy storage, the remaining bidding discharge power demand or bidding charging power demand needs to be further offset in order to eliminate the power demand of the new energy group members.

[0092] In this embodiment, an electronic device includes a memory and a processor. The memory stores a program that supports the processor in executing the methods described above, and the processor is configured to execute the program stored in the memory.

[0093] In this embodiment, a computer-readable storage medium stores a computer program, which is executed by a processor to perform the steps of the above method.

[0094] The final results show that:

[0095] 1) The power satisfaction model proposed in this invention can mobilize new energy power plants to participate in the multilateral bidding operation mode and can measure the satisfaction of new energy group members in participating in the bidding. The established multilateral bidding operation mode based on power satisfaction can eliminate the scheduling deviation of new energy group members in advance, save the life loss of leased shared energy storage, and help reduce the grid connection loss of new energy power plants.

[0096] 2) The new energy cluster and multiple shared energy storage joint operation scheduling model established by this invention can further reduce scheduling deviation and reduce the power loss of new energy cluster members.

[0097] 3) This invention verifies the feasibility of multiple shared energy storage to compensate for deviations and draws the following conclusions: When new energy power stations utilize shared energy storage or establish energy storage to eliminate deviations, under the condition that the dispatch deviation of the new energy power station is positive or negative for a continuous period of time, replacing a large-capacity energy storage power station with multiple small-capacity energy storage power stations may be more conducive to reducing grid connection deviations.

Claims

1. A method for operation scheduling of a new energy cluster and a multi-shared energy storage system considering power satisfaction, characterized in that, Includes the following steps: Step 1: Establish a multilateral bidding operation model based on power satisfaction. Step 1.1: Establish a power satisfaction index model using equation (1): In equation (1), Sa represents the power satisfaction of the new energy group members, and its value ranges from 0 to 100%; P i The power demand for bidding by the i-th member of the new energy group; The power successfully eliminated by the i-th new energy group member, which is less than the bid power demand P. i ; Step 1.2: Establish a multilateral bidding operation model based on power satisfaction using equations (2), (3), and (4): In equations (2), (3), and (4), Sa i,j,ch Sa represents the power satisfaction of the i-th new energy group member at time t regarding the bidding for charging power demand; i,j,dch Sa represents the power satisfaction of the j-th new energy group member at time t regarding the bidding discharge power demand; mul This represents the total power satisfaction of all members of the new energy group; Let be the charging power demand bid by the i-th new energy group member at time t, and Less than 0; Let be the discharge power demand of the i-th new energy group member at time t, and Greater than 0; Let n be the magnitude of the power canceled out between the i-th and j-th new energy group members at time t; n represents the number of new energy group members, and T represents the total scheduling time. The charging power demand is calculated using equation (5) and equation (6) and the discharging power demand In equations (5) and (6), For the i-th new energy group member, predict the intraday power generation at time t. Let be the grid dispatch power of the i-th renewable energy group member at time t. Let be the scheduling deviation of the i-th new energy group member at time t; Step 2: Establish a model for eliminating bias by combining multiple shared energy storage systems among members of the wind farm cluster; Step 2.1: Establish a residual power demand calculation model using equations (7) and (8): In equations (7) and (8), Let represent the remaining charging power demand of the i-th new energy group member at time t; Let represent the remaining discharge power demand of the i-th renewable energy group member at time t; Step 2.2: Establish a joint operation and scheduling model for the new energy cluster and multiple shared energy storage systems using equation (9): In formula (9), Represents the objective function of the entire scheduling system; This represents the grid connection objective function for new energy sources after eliminating dispatch deviations; This represents the objective function of the new energy group members after multilateral bidding operation and the elimination of bias through shared energy storage; The objective function representing the shared energy storage charging or discharging from the grid; The objective function representing the cycle life decay loss of shared energy storage; Step 2.3: Establish charging and discharging constraints and energy storage capacity constraints for shared energy storage; Step 2.4: Use a solver to solve the joint operation and scheduling model of the new energy cluster and multiple shared energy storage systems to obtain the operation and scheduling scheme of the new energy cluster and multiple shared energy storage systems, including: the offsetting power between members of the new energy cluster and the charging and discharging power of shared energy storage. Step 3: Propose a joint operation and scheduling strategy for new energy clusters and multi-shared energy storage systems; Step 3.1: The new energy group members use the day-ahead forecast power curve as the intraday dispatch power curve, and compare the intraday forecast power curve with the intraday dispatch power curve to obtain the dispatch deviation curve, which is the power demand bid by the new energy group members to the power platform. Step 3.2: The power platform determines the bidding charging demand power or bidding discharging demand power of the new energy group members based on the positive or negative sign of their bidding power demand. Then, it cancels out the bidding charging demand power or bidding discharging demand power through a multilateral bidding operation model based on power satisfaction, thus obtaining the offsetting power among the new energy group members. Step 3.3: Calculate the remaining bidding discharge power demand or bidding charging power demand of the new energy group members based on the offset power of the new energy group members; then, further offset the remaining bidding discharge power demand or bidding charging power demand according to the joint operation and scheduling model of the new energy cluster and multiple shared energy storage to eliminate the power demand of the new energy group members. 2.The method of claim 1, wherein, Step 2.2 includes the following steps: Step 2.2.1, establishing the grid-connected target function after the new energy elimination dispatch deviation with formula (10), formula (11) and formula (12) In equations (10), (11), and (12), Let C be the grid-connected power of the i-th renewable energy group member at time t; con The power coefficient for grid-connected new energy sources; Let be the final scheduling deviation of the i-th new energy group member at time t; The charging and discharging power of the k-th shared energy storage at time t is used to eliminate the deviation of the i-th new energy group member; M is the number of shared energy storage power stations; Δt is the scheduling time interval; Step 2.2.2: Use equation (13) to establish the objective function of the new energy group members after multilateral bidding operation and shared energy storage to eliminate bias. In formula (13), C dev is the scheduling deviation loss coefficient of new energy Step 2.2.3, establishing the objective function for shared energy storage charging or discharging from the grid using equation (14) In formula (14), Let be the power discharged to the grid by the k-th shared energy storage at time t; Let be the power of the k-th shared energy storage unit charged from the grid at time t; The power factor for shared energy storage discharge to the grid; The power factor for charging shared energy storage from the grid; Step 2.2.4: Establish the objective function for cycle life decay loss of shared energy storage using equations (15)-(20). In equations (15)-(20), Let be the number of cycles for the k-th shared energy storage under a 100% depth of discharge condition; This represents the daily cumulative cycle count for the k-th shared energy storage, i.e., the equivalent cycle count. This represents the maximum installed capacity of the k-th shared energy storage unit. Let be the capacity parameter of the k-th shared energy storage; Let's consider the charging and discharging state of the k-th shared energy storage at time t. Indicates shared energy storage charging. Indicates shared energy storage discharge. The charging and discharging state of the k-th shared energy storage at time t-1; The charge-discharge conversion characteristics of the k-th shared energy storage at time t; For the k-th shared energy storage unit, the accumulated charging or discharging amount at time t, Accumulate the charging or discharging power of the k-th shared energy storage at time t-1; Let be the used capacity of the k-th shared energy storage at time t; Let be the used capacity of the k-th shared energy storage at time t-1. For the k-th shared energy storage at time t, with discharge depth The number of cycles required for one complete charge-discharge cycle; Number of loops The conversion factor for the equivalent number of cycles at 100% depth of discharge; Number of loops The conversion factor for the equivalent number of cycles at 100% depth of discharge; For the k-th shared energy storage at time t-1, with discharge depth The number of cycles required to complete one full charge-discharge cycle.

3. An electronic device, comprising a memory and a processor, characterized in that, The memory is used to store programs that support the processor in executing the execution scheduling method of claim 1 or 2, wherein the processor is configured to execute the programs stored in the memory.

4. A computer-readable storage medium having stored thereon a computer program, characterized in that The computer program is executed by the processor to perform the steps of the execution scheduling method of claim 1 or 2.

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