Method and apparatus for accessing energy storage system, and device and medium

Abstract

The present application relates to the technical field of energy storage systems. Disclosed are a method and apparatus for accessing an energy storage system, and a device and a medium. The method comprises: for each load node, by using a candidate operation power of a target energy storage system at each unit time as a parameter and on the basis of a voltage value of the load node at each unit time and the admittance between adjacent load nodes, calculating a voltage fluctuation value of a power grid, in the state where connection to the load node is simulated, within a target time period; by using the candidate operation power of the target energy storage system at each unit time as a parameter, calculating a power fluctuation value of the power grid within the target time period; and on the basis of the voltage fluctuation value and the power fluctuation value that correspond to each load node, determining a target access node from among the load nodes, and determining a target operation power at each unit time, such that the target energy storage system is connected to the target access node and operates at each target operation power. The present application improves the operation stability of a power grid after an energy storage system is connected.

Description

Method, device, equipment and medium for accessing energy storage system

[0001] The present application claims priority to the Chinese patent application No. 202410676964.1, filed on May 29, 2025, the whole content of which is incorporated herein by reference. TECHNICAL FIELD

[0002] The present application relates to the technical field of energy storage system, in particular to a method, device, equipment and medium for accessing energy storage system. BACKGROUND

[0003] Nowadays, energy storage systems applied in power grids and their application modes are constantly innovated, and the application of energy storage systems is gradually increasing. The ability of energy flow in both directions and the high efficiency of charging and discharging make the energy storage system can well suppress the influence of photovoltaic power generation system on the power grid.

[0004] The related technology mainly starts from the perspective of reducing cost to determine the access node and operating power of the energy storage system when the economic cost is the lowest, so as to reduce the economic cost of accessing the energy storage system. This method has the defect that the running stability of the power grid is poor after the energy storage system is accessed. SUMMARY

[0005] The present application provides a method, device, equipment and medium for accessing energy storage system to improve the running stability of the power grid after accessing the energy storage system.

[0006] In a first aspect, the present application provides a method for accessing energy storage system, comprising:

[0007] obtaining at least one load node in the power grid, and voltage values of each load node at each unit time in a target time period;

[0008] for each load node, taking candidate operating power of the target energy storage system at each unit time as a parameter, calculating voltage fluctuation values of the power grid in the target time period in a state of simulating accessing the load node according to the voltage values of each load node at each unit time and admittance between adjacent load nodes;

[0009] taking the candidate operating power of the target energy storage system at each unit time as a parameter, calculating power fluctuation values of the power grid in the target time period;

[0010] determining a target access node from the load nodes and determining target operating power at each unit time according to the voltage fluctuation values and the power fluctuation values corresponding to each load node, so that the target energy storage system accesses the target access node and operates at each target operating power.

[0011] In a second aspect, the application further provides an access device of an energy storage system, comprising:

[0012] a voltage value acquisition module configured to acquire at least one load node in a power grid and voltage values of each load node at each unit time in a target time period;

[0013] a voltage fluctuation value calculation module configured to, for each load node, calculate, with candidate operating powers of the target energy storage system at each unit time as parameters, voltage fluctuation values of the power grid in the target time period in a state of simulating access to the load node, according to the voltage values of each load node at each unit time and admittance between adjacent load nodes;

[0014] a power fluctuation value calculation module configured to calculate, with the candidate operating powers of the target energy storage system at each unit time as parameters, power fluctuation values of the power grid in the target time period;

[0015] an access node determination module configured to determine, according to the voltage fluctuation values and the power fluctuation values of each load node, a target access node from the load nodes and target operating powers at each unit time, so that the target energy storage system accesses the target access node and operates at each target operating power.

[0016] In a third aspect, the application further provides an electronic device, comprising:

[0017] at least one processor; and

[0018] a memory connected to the at least one processor in communication; wherein

[0019] the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the access method of the energy storage system provided in any of the embodiments of the application.

[0020] In a fourth aspect, the application further provides a computer readable storage medium, which stores computer instructions for enabling a processor to implement the access method of the energy storage system provided in any of the embodiments of the application when the processor executes the computer instructions.

[0021] The embodiment of the present application obtains at least one load node in the power grid and voltage values of each load node at each unit time in a target time period; for each load node, candidate operating power of the target energy storage system at each unit time is taken as a parameter, voltage fluctuation values of the power grid in the target time period in a state of simulating access to the load node are calculated according to the voltage values of each load node at each unit time and admittance between adjacent load nodes; candidate operating power of the target energy storage system at each unit time is taken as a parameter, power fluctuation values of the power grid in the target time period are calculated; the target access node is determined from each load node according to the voltage fluctuation values and the power fluctuation values corresponding to each load node, and target operating power at each unit time is determined, so that the target energy storage system accesses the target access node and operates at each target operating power. The embodiment of the present application determines the target access node and the operating power of the energy storage system through the voltage fluctuation values and the power fluctuation values of the power grid, can improve the suppression effect of the voltage fluctuation values and the power fluctuation values of the power grid after the energy storage system accesses the power grid, and thus improves the stability of the power grid operation.

[0022] It should be understood that the content described in this part is not intended to identify key or important features of the embodiments of the present application, nor is it used to limit the scope of the present application. Other features of the present application will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0024] Fig. 1 is a flowchart of a method for accessing an energy storage system according to an embodiment of the present application;

[0025] Fig. 2 is a flowchart of a method for accessing an energy storage system according to an embodiment of the present application;

[0026] Fig. 3 is a flowchart of a method for accessing an energy storage system according to an embodiment of the present application;

[0027] Fig. 4 is a flowchart of a method for accessing an energy storage system according to an embodiment of the present application;

[0028] Fig. 5 is a structural schematic diagram of an access device of an energy storage system according to an embodiment of the present application;

[0029] Fig. 6 is a structural schematic diagram of an electronic device implementing the method for accessing an energy storage system according to an embodiment of the present application. DETAILED DESCRIPTION

[0030] In order to better understand the technical scheme of the present application, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work should fall within the scope of protection of the present application.

[0031] It should be noted that the terms "first" and "second" and the like in the specification and claims of the present application and the above-described drawings are used to distinguish similar objects, and do not necessarily have to describe a specific order or a chronological order. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device that includes a series of steps or units does not have to be limited to those steps or units clearly listed, but can include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0032] In the technical scheme of the embodiments of the present application, the acquisition, storage and application of the voltage values of the load nodes and the like are in line with the relevant legal regulations and do not violate public order and good customs.

[0033] Embodiment one

[0034] FIG. 1 is a flowchart of an access method of an energy storage system according to an embodiment of the present application. The embodiment can be applied to determine the access node and operation power of the energy storage system. The method can be executed by an energy storage system access device. The energy storage system access device can be implemented in the form of hardware and / or software, and is specifically configured in an electronic device, such as a server.

[0035] Referring to the access method of the energy storage system shown in FIG. 1, the method comprises the following steps.

[0036] S101, acquiring at least one load node in a power grid, and voltage values of each load node at each unit time in a target time period.

[0037] In this embodiment, the power grid can be a distribution network. The load node can be a node in the power grid that can be accessed by the energy storage system, for example, the load node can be a switching device, user equipment, power supply equipment, and the like, and the application does not limit the type of load node. The target time period can be a time period in which the energy storage system accesses the power grid. It should be noted that the start time, end time and unit time of the target time period can be set by the technician according to the actual demand and practical experience, and the application does not limit this.

[0038] S102, for each load node, taking the candidate operating power of the target energy storage system at each unit time as a parameter, calculating the voltage fluctuation value of the power grid in the target time period in the state of simulating the access of the load node according to the voltage value of each load node at each unit time and the admittance between adjacent load nodes.

[0039] In this embodiment, the power grid in the state of simulating the access of the load node can refer to the power grid in the state of simulating the access of the energy storage system to the load node. The voltage fluctuation value can refer to the voltage variation amplitude of the power grid in the target time period. The target energy storage system can be an energy storage system to be accessed to the power grid. The candidate operating power can be at least one power at which the target energy storage system can normally operate.

[0040] Specifically, a certain algorithm can be used to calculate the voltage fluctuation value of the power grid in the target time period in the state of simulating the access of the load node according to the voltage value of each load node at each unit time and the admittance between adjacent load nodes, taking the candidate operating power of the target energy storage system at each unit time as a parameter.

[0041] S103, taking the candidate operating power of the target energy storage system at each unit time as a parameter, calculating the power fluctuation value of the power grid in the target time period.

[0042] In this embodiment, the power fluctuation value can refer to the power variation amplitude of the power grid in the target time period. Specifically, a certain algorithm can be used to calculate the power fluctuation value of the power grid in the target time period, taking the candidate operating power of the target energy storage system at each unit time as a parameter.

[0043] Optionally, taking the candidate operating power of the target energy storage system at each unit time as a parameter, calculating the power fluctuation value of the power grid in the target time period, includes: taking the candidate operating power of the target energy storage system at each unit time as a parameter, calculating the power average value between the candidate operating power at each unit time; determining the power fluctuation value of the power grid in the target time period according to the candidate operating power at each unit time and the power average value.

[0044] Specifically, the average value between the candidate operation powers of the target energy storage system at each unit time is calculated; for each unit time of the candidate operation power, the absolute value of the difference between the candidate operation power at the unit time and the power average value is determined; the sum of each absolute value is determined as the power fluctuation value of the target energy storage system, and the power fluctuation value of the target energy storage system is determined as the power fluctuation value of the power grid in the target time period.

[0045] It can be understood that, by using the above technical solution, the power fluctuation value of the power grid in the target time period is determined according to the candidate operation power of each unit time and the power average value, thereby improving the accuracy of the power fluctuation value.

[0046] S104, according to the voltage fluctuation value and the power fluctuation value corresponding to each load node, determining a target access node from each load node, and determining a target operation power at each unit time, so that the target energy storage system accesses the target access node and operates at each target operation power.

[0047] In this embodiment, the target access node can be the load node to which the target energy storage system is finally accessed. The target operation power can be the operation power of the target energy storage system after accessing the power grid. Specifically, a certain algorithm is used to determine the target access node from each load node and determine the target operation power at each unit time according to the voltage fluctuation value and the power fluctuation value corresponding to each load node.

[0048] The embodiment of the present application obtains at least one load node in the power grid and the voltage value of each load node at each unit time in the target time period; for each load node, taking the candidate operation power of the target energy storage system at each unit time as a parameter, the voltage fluctuation value of the power grid in the target time period in the state of simulating access to the load node is calculated according to the voltage value of each load node at each unit time and the admittance between adjacent load nodes; taking the candidate operation power of the target energy storage system at each unit time as a parameter, the power fluctuation value of the power grid in the target time period is calculated; according to the voltage fluctuation value and the power fluctuation value corresponding to each load node, a target access node is determined from each load node, and a target operation power at each unit time is determined, so that the target energy storage system accesses the target access node and operates at each target operation power. The voltage fluctuation value and the power fluctuation value of the power grid are used to determine the target access node and the operation power of the energy storage system in the embodiment of the present application, which can improve the suppression effect of the voltage fluctuation value and the power fluctuation value of the power grid after the energy storage system accesses the power grid, thereby improving the stability of the power grid operation.

[0049] Embodiment two

[0050] Fig. 2 is a flow chart of the access method of the energy storage system according to Embodiment Two of the present application. Embodiment Two of the present application optimizes and improves the calculation of the voltage fluctuation value data on the basis of the technical solutions of the aforementioned embodiments.

[0051] Further, the step of "calculating the voltage fluctuation value of the power grid in the target time period in the state of simulating the access of the load node, according to the voltage value of each load node at each unit time and the admittance between adjacent load nodes, with the candidate operating power of the target energy storage system at each unit time as the parameter" is further specified as "calculating the predicted voltage value of each load node at each unit time in the power grid in the state of simulating the access of the load node, according to the voltage value of each load node at each unit time and the admittance between adjacent load nodes, with the candidate operating power of the target energy storage system at each unit time as the parameter; determining the predicted voltage average value between the predicted voltage values of each unit time of the load node for each load node; determining the voltage fluctuation value of the load node in the target time period according to the predicted voltage average value of the load node and the predicted voltage value of the load node at each unit time; and calculating the voltage fluctuation value of the power grid in the target time period in the state of simulating the access of the load node according to the voltage fluctuation values of the load nodes", so as to improve the calculation of the voltage fluctuation value data.

[0052] It should be noted that the parts not described in detail in the embodiments of the present application can be referred to the descriptions of the aforementioned embodiments.

[0053] Referring to the access method of the energy storage system shown in Fig. 2, the method comprises the following steps.

[0054] S201, acquiring at least one load node in the power grid and the voltage value of each load node at each unit time in the target time period.

[0055] S202, for each load node, calculating the predicted voltage value of each load node at each unit time in the power grid in the state of simulating the access of the load node, according to the voltage value of each load node at each unit time and the admittance between adjacent load nodes, with the candidate operating power of the target energy storage system at each unit time as the parameter.

[0056] In the embodiment, the predicted voltage value can be the predicted voltage value of the load node at each unit time in the target time period. Specifically, for each load node, a certain algorithm can be used to calculate the predicted voltage value of each load node at each unit time in the power grid in the state of simulating the access of the load node, according to the voltage value of each load node at each unit time and the admittance between adjacent load nodes, with the candidate operating power of the target energy storage system at each unit time as the parameter.

[0057] Optionally, the predicted voltage value of each load node at each unit time in the power grid in the state of simulating the access of the load node is calculated according to the voltage value of each load node at each unit time and the admittance between adjacent load nodes, with the candidate operating power of the target energy storage system at each unit time as a parameter, including: for each unit time, the predicted voltage value of the load node simulating the access at the unit time is determined according to the voltage value of the first adjacent node adjacent to the load node simulating the access at the unit time and the admittance between the load node simulating the access and each first adjacent node, with the candidate operating power of the target energy storage system at the unit time as a parameter; for each load node except the load node simulating the access, the predicted voltage value of the load node at the unit time is determined according to the voltage value of the second adjacent node adjacent to the load node at the unit time and the admittance between the load node and the second adjacent node.

[0058] Specifically, for each unit time, the predicted voltage value of the load node simulating the access at the unit time is taken as a parameter to be solved, with the candidate operating power of the target energy storage system at the unit time as a parameter; for each first adjacent node, a first product between the voltage difference value between the predicted voltage value and the first adjacent node and the admittance between the load node simulating the access and the first adjacent node is determined, and a second product between the first product and the predicted voltage value is determined; the sum of the second products corresponding to each first adjacent node is equal to the candidate operating power at the unit time, and the predicted voltage value is solved to obtain a solving result of the predicted voltage value.

[0059] For each load node except the load node simulating the access, the predicted voltage value of the load node at the unit time is taken as a parameter to be solved; for each second adjacent node, a third product between the voltage difference value between the predicted voltage value and the second adjacent node and the admittance between the load node and the second adjacent node is determined, and a fourth product between the third product and the predicted voltage value is determined; the sum of the fourth products corresponding to each second adjacent node is equal to the candidate operating power at the unit time, and the predicted voltage value of the load node is solved to obtain a solving result of the predicted voltage value.

[0060] It can be understood that, by using the above technical solution, for each unit time, the candidate operating power of the target energy storage system at the unit time is taken as a parameter, the predicted voltage value of the simulated access load node at the unit time is determined according to the voltage value of the first adjacent node adjacent to the simulated access load node at the unit time and the admittance between the simulated access load node and each first adjacent node; for each load node except the simulated access load node, the predicted voltage value of the load node at the unit time is determined according to the voltage value of the second adjacent node adjacent to the load node at the unit time and the admittance between the load node and the second adjacent node, thereby improving the accuracy of the predicted voltage value of each load node.

[0061] S203, for each load node, determining the predicted voltage mean value between the predicted voltage values of each unit time of the load node.

[0062] S204, determining the voltage fluctuation value of the load node in the target time period according to the predicted voltage mean value of the load node and the predicted voltage value of the load node at each unit time.

[0063] Specifically, for each unit time of the load node, the absolute value of the difference between the predicted voltage value at the unit time and the predicted voltage mean value is determined; the sum of the absolute values of the differences of each unit time of the load node is determined as the voltage fluctuation value of the load node in the target time period.

[0064] S205, calculating the voltage fluctuation value of the power grid in the target time period in the simulated access load node state according to the voltage fluctuation value of each load node.

[0065] Specifically, the sum of the voltage fluctuation values of each load node is determined as the voltage fluctuation value of the power grid in the target time period in the simulated access load node state.

[0066] S206, taking the candidate operating power of the target energy storage system at each unit time as a parameter, calculating the power fluctuation value of the power grid in the target time period.

[0067] S207, determining the target access node from each load node and determining the target operating power at each unit time according to the voltage fluctuation value and the power fluctuation value corresponding to each load node, so that the target energy storage system accesses the target access node and operates at each target operating power.

[0068] The embodiment of the application takes the candidate operation power of the target energy storage system at each unit time as a parameter, calculates the predicted voltage value of each load node at each unit time in the power grid in the simulated access load node state according to the voltage value of each load node at each unit time and the admittance between adjacent load nodes, determines the predicted voltage average value between the predicted voltage values of each unit time of the load node for each load node, determines the voltage fluctuation value of the load node in the target time period according to the predicted voltage average value of the load node and the predicted voltage value of the load node at each unit time, and calculates the voltage fluctuation value of the power grid in the target time period in the simulated access load node state according to the voltage fluctuation value of each load node, thereby improving the accuracy of the voltage fluctuation value.

[0069] Embodiment three

[0070] FIG. 3 is a flowchart of an energy storage system access method provided by the embodiment three of the application. The embodiment of the application further optimizes the technical solutions of the above-mentioned embodiments.

[0071] Further, before the "at least one load node in the power grid", the "obtaining at least one power node in the power grid, and the initial voltage fluctuation value and the initial power fluctuation value of the power grid when no energy storage system is accessed; for each power node, obtaining the auxiliary voltage fluctuation value and the auxiliary power fluctuation value in the power grid after the auxiliary energy storage system is accessed to the power node, and the energy storage capacity of the auxiliary energy storage system; determining the fluctuation suppression ratio of the power node according to the initial voltage fluctuation value, the initial power fluctuation value and the energy storage capacity, and the auxiliary voltage fluctuation value and the auxiliary power fluctuation value corresponding to the power node; determining the power node with the fluctuation suppression ratio greater than the preset ratio threshold as the load node" is added to perfect the determination operation of the load node.

[0072] It should be noted that the parts not described in detail in the embodiments of the application can be referred to the descriptions of the foregoing embodiments.

[0073] Referring to the energy storage system access method shown in FIG. 3, the method comprises the following steps.

[0074] S301, obtaining at least one power node in the power grid, and the initial voltage fluctuation value and the initial power fluctuation value of the power grid when no energy storage system is accessed.

[0075] In the embodiment, the power node can be a node in the power grid, such as a power supply node, a user equipment node and a switching equipment node, etc. The initial voltage fluctuation value is the voltage fluctuation value of the power grid when no energy storage system is accessed; and the initial power fluctuation value is the power fluctuation value of the power grid when no energy storage system is accessed.

[0076] S302, for each power node, obtaining an auxiliary voltage fluctuation value and an auxiliary power fluctuation value in the power grid after the auxiliary energy storage system accesses the power node, and an energy storage capacity of the auxiliary energy storage system.

[0077] In this embodiment, the auxiliary energy storage system can be an energy storage system for determining the fluctuation suppression ratio in advance; the energy storage capacity of the auxiliary energy storage system can be set by a technician according to actual demand or practical experience, which is not limited in the present application. The auxiliary voltage fluctuation value can be the voltage fluctuation value in the power grid after the auxiliary energy storage system accesses the power node; the auxiliary power fluctuation value can be the auxiliary power fluctuation value in the power grid after the auxiliary energy storage system accesses the power node.

[0078] S303, determining the fluctuation suppression ratio of the power node according to the initial voltage fluctuation value, the initial power fluctuation value and the energy storage capacity, and the auxiliary voltage fluctuation value and the auxiliary power fluctuation value corresponding to the power node.

[0079] In this embodiment, the fluctuation suppression ratio can be the ratio of the power node capable of reducing the power fluctuation value of the power grid. Specifically, a certain algorithm is used to determine the fluctuation suppression ratio of the power node according to the initial voltage fluctuation value, the initial power fluctuation value and the energy storage capacity, and the auxiliary voltage fluctuation value and the auxiliary power fluctuation value corresponding to the power node.

[0080] Optionally, determining the fluctuation suppression ratio of the power node according to the initial voltage fluctuation value, the initial power fluctuation value and the energy storage capacity, and the auxiliary voltage fluctuation value and the auxiliary power fluctuation value corresponding to the power node includes: determining a voltage fluctuation value difference between the initial voltage fluctuation value and the auxiliary voltage fluctuation value; determining a power fluctuation difference between the initial power fluctuation value and the auxiliary power fluctuation value; determining a first ratio between the voltage fluctuation value difference and the energy storage capacity; determining a second ratio between the power fluctuation difference and the energy storage capacity; and determining the fluctuation suppression ratio of the power node according to the first ratio and the second ratio.

[0081] Specifically, the sum of the first ratio and the second ratio is determined as the fluctuation suppression ratio of the power node. It can be understood that by using the above technical solution, the first ratio between the voltage fluctuation value difference and the energy storage capacity and the second ratio between the power fluctuation difference and the energy storage capacity are determined to determine the fluctuation suppression ratio of the power node, which improves the accuracy of the fluctuation suppression ratio.

[0082] S304, determining the power node with the fluctuation suppression ratio greater than a preset ratio threshold as a load node.

[0083] It should be noted that the preset ratio threshold can be set by a technician according to actual demand or practical experience, which is not limited in the present application.

[0084] S305, acquire at least one load node in the power grid, and voltage values of each load node at each unit time in the target time period.

[0085] S306, for each load node, calculate voltage fluctuation values of the power grid in the target time period in a state of simulating access to the load node, according to the voltage values of each load node at each unit time and admittance between adjacent load nodes, with candidate operating powers of the target energy storage system at each unit time as parameters.

[0086] S307, calculate power fluctuation values of the power grid in the target time period, with the candidate operating powers of the target energy storage system at each unit time as parameters.

[0087] S308, determine the target access node from the load nodes and determine the target operating power at each unit time, according to the voltage fluctuation values and the power fluctuation values corresponding to each load node, so that the target energy storage system accesses the target access node and operates at each target operating power.

[0088] The embodiment of the present application acquires at least one power node in the power grid and initial voltage fluctuation values and initial power fluctuation values of the power grid when no energy storage system is accessed; for each power node, acquires auxiliary voltage fluctuation values and auxiliary power fluctuation values in the power grid and an energy storage capacity of an auxiliary energy storage system after the auxiliary energy storage system accesses the power node; determines a fluctuation suppression ratio of the power node according to the initial voltage fluctuation values, the initial power fluctuation values and the energy storage capacity, and the auxiliary voltage fluctuation values and the auxiliary power fluctuation values corresponding to the power node; determines the power node with a fluctuation suppression ratio greater than a preset ratio threshold as a load node, can determine nodes with better fluctuation suppression effect in advance, and determines these nodes as load nodes, thereby improving the operation stability of the power grid after the energy storage system accesses the load nodes; and reduces the calculation amount in the process of determining the target access node, and improves the efficiency of determining the target access node.

[0089] Embodiment Four

[0090] FIG. 4 is a flowchart of an access method of an energy storage system provided by Embodiment Four of the present application, and the embodiment of the present application optimizes and improves the determination of the target access node and the target operating power on the basis of the technical solutions of the above-mentioned embodiments.

[0091] Furthermore, the process of "determining the target access node and the target operating power at each unit time based on the voltage fluctuation value and power fluctuation value corresponding to each load node" is refined to "for each load node, the voltage fluctuation value and power fluctuation value corresponding to the load node are fused to obtain the grid power fluctuation value corresponding to the load node; the candidate operating power at each unit time is adjusted until the grid power fluctuation value corresponding to the load node is minimized to obtain the reference power fluctuation value of the load node; the load node corresponding to the minimum reference power fluctuation value is determined as the target access node, and the candidate operating power at each unit time corresponding to the minimum reference power fluctuation value is respectively used as the target operating power at each unit time," to improve the determination operation of the target access node and the target operating power.

[0092] It should be noted that for any parts not described in detail in the embodiments of this application, please refer to the descriptions in the foregoing embodiments.

[0093] The connection method for the energy storage system shown in Figure 4 includes:

[0094] S401. Obtain at least one load node in the power grid, and the voltage value of each load node at each unit time in the target time period.

[0095] S402. For each load node, using the candidate operating power of the target energy storage system at each unit time as a parameter, and based on the voltage value of each load node at each unit time and the admittance between adjacent load nodes, calculate the voltage fluctuation value of the power grid in the simulated load node state during the target time period.

[0096] S403. Using the candidate operating power of the target energy storage system at each unit time as a parameter, calculate the power fluctuation value of the power grid in the target time period.

[0097] S404. For each load node, the voltage fluctuation value and power fluctuation value corresponding to the load node are fused to obtain the power grid fluctuation value corresponding to the load node.

[0098] In this embodiment, the power grid fluctuation value can refer to the magnitude of power grid changes, including but not limited to voltage fluctuation value and power change value.

[0099] Specifically, the voltage fluctuation weight and power fluctuation weight are obtained. For each load node, the voltage fluctuation weight is multiplied by the power fluctuation value of that load node to obtain the first fluctuation value of that load node. The power fluctuation weight is multiplied by the power fluctuation value of that load node to obtain the second fluctuation value of that load node. The first fluctuation value and the second fluctuation value of that node are added together to obtain the grid power fluctuation value of that load node. Here, the voltage fluctuation weight can refer to the importance of the voltage fluctuation value to the grid power fluctuation value; the power fluctuation weight can refer to the importance of the power fluctuation value to the grid power fluctuation value.

[0100] Optionally, the voltage fluctuation weight and power fluctuation weight can be determined as follows: For each load node, the first duration during which the voltage fluctuation value of the load node is greater than a preset voltage fluctuation threshold and the second duration during which the power fluctuation value of the load node is greater than a preset power fluctuation threshold are statistically analyzed over a historical time period. The preset voltage fluctuation threshold and preset power fluctuation threshold can be set independently by technical personnel based on actual needs or practical experience. The first duration of each load node is summed to obtain a third duration, and the second duration of each load node is summed to obtain a fourth duration. The ratio between the third duration and the fourth duration is determined as the first importance index value of the voltage fluctuation value relative to the power fluctuation value. The ratio between the fourth duration and the third duration is determined as the second importance index value of the power fluctuation value relative to the voltage fluctuation value. For example, a larger first importance index value indicates that the voltage fluctuation value is more important than the power fluctuation value; a smaller first importance index value indicates that the voltage fluctuation value is less important than the power fluctuation value. The historical time period can be a time period prior to the target time period.

[0101] Construct an importance matrix by using the first importance index value as the element in the first row and first column of the matrix, and the element in the second row and second column of the matrix, and by using the second importance index value as the element in the first row and second column of the matrix, and the element in the second row and first column of the matrix; determine the largest eigenvalue of the importance matrix and the eigenvector corresponding to the largest eigenvalue; determine the first multiplication result between the importance matrix and the eigenvector; using the weight matrix as a parameter, determine the second multiplication result between the weight matrix and the largest eigenvalue; set the first multiplication result equal to the second multiplication result to solve for the weight matrix; use the element in the first row and first column of the weight matrix as the reference voltage fluctuation weight, and use the element in the second row and second column of the weight matrix as the reference power fluctuation weight.

[0102] The system acquires the voltage and power fluctuation values ​​of the power grid at at least one sampling time within a historical time period. The sampling time and the number of sampling times can be set by technicians based on actual needs or event experience. For each sampling time, if the voltage fluctuation value is greater than a preset voltage fluctuation threshold, the sum of the voltage fluctuation values ​​at each sampling time is calculated, and the ratio between the voltage fluctuation value at that sampling time and the sum of the voltage fluctuation values ​​is determined. This ratio is then used to determine the standard value of the voltage fluctuation value. If the ratio of the voltage fluctuation value at that sampling time is less than the preset voltage fluctuation threshold, the sum of the reciprocals of the power fluctuation values ​​at each sampling time is calculated. The ratio between the reciprocal of the voltage fluctuation value and the sum of the reciprocals of the power fluctuation values ​​is determined, and this ratio is then used as the standard value of the voltage fluctuation value. A similar method is used to determine the standard value of each power fluctuation value in the fluctuation value matrix.

[0103] For each sampling time, determine the logarithm of the standard value of the voltage fluctuation value at that sampling time, and determine the product of the logarithm and the standard value of the voltage fluctuation value; accumulate the products of each unit time to obtain the accumulated result; determine the logarithm of the number of sampling times, and subtract one from the logarithm of the number of sampling times to obtain the calculation result; multiply the calculation result and the accumulated result to determine the entropy value of the voltage fluctuation value; determine the entropy value of the power fluctuation value using a similar method to determine the entropy value of the voltage fluctuation value; determine the sum of the entropy values ​​of the voltage fluctuation value and the power fluctuation value; determine the first entropy difference between 1 and the entropy value of the voltage fluctuation value, and the second entropy difference between the number of fluctuation value types (i.e., 2) and the sum of the entropy values; determine the ratio between the first entropy difference and the second entropy difference as the entropy weight of the voltage fluctuation value; determine the entropy weight of the power fluctuation value using a similar method to determine the entropy weight of the voltage fluctuation value; add the entropy weight of the voltage fluctuation value to the reference voltage fluctuation weight to obtain the voltage fluctuation weight; add the entropy weight of the power fluctuation value to the reference power fluctuation value to obtain the power fluctuation weight.

[0104] S405. Adjust the candidate operating power at each unit time until the power fluctuation value of the power grid corresponding to the load node is minimized, and obtain the reference power fluctuation value of the load node.

[0105] In this embodiment, the reference power fluctuation value can be the minimum grid power fluctuation value of the load node.

[0106] Optionally, the following constraints must be met during the adjustment of the candidate operating power at each unit time: for each load node, the voltage value of the load node is greater than or equal to the first voltage threshold of the load node and less than or equal to the second voltage threshold of the load node; wherein, the first voltage threshold and the second voltage threshold of each load node can be set independently by technicians according to actual needs or practical experience, as long as the first voltage threshold is greater than the second voltage threshold.

[0107] S406. The load node corresponding to the minimum reference power fluctuation value is determined as the target access node, and the candidate operating power of each unit time corresponding to the minimum reference power fluctuation value is taken as the target operating power of each unit time, so that the target energy storage system can be connected to the target access node and operate at each target operating power.

[0108] This application embodiment determines the load node corresponding to the minimum reference power fluctuation value as the target access node by adjusting the candidate operating power at each unit time, and uses the candidate operating power corresponding to the minimum reference power fluctuation value at each unit time as the target operating power at each unit time. This enables the power fluctuation value of the power grid to be minimized after the target energy storage system is connected to the target access node, and also reduces the voltage fluctuation value and power fluctuation value of the power grid, thereby improving the operational stability of the power grid.

[0109] Example 5

[0110] Figure 5 is a schematic diagram of the structure of an energy storage system access device provided in Embodiment 6 of this application. This embodiment is applicable to situations where the access node and operating power of the energy storage system are determined. The device can execute the energy storage system access method. The energy storage system access device can be implemented in hardware and / or software, and can be configured in electronic devices, such as servers.

[0111] Referring to the access device of the energy storage system shown in Figure 5, it includes a voltage value acquisition module 501, a voltage fluctuation value calculation module 502, a power fluctuation value calculation module 503, and an access node determination module 504, wherein,

[0112] The voltage value acquisition module 501 is used to acquire at least one load node in the power grid, and the voltage value of each load node at each unit time in the target time period.

[0113] The voltage fluctuation value calculation module 502 is used to calculate the voltage fluctuation value of the power grid in the target time period for each load node, taking the candidate operating power of the target energy storage system at each unit time as a parameter, and based on the voltage value of each load node at each unit time and the admittance between adjacent load nodes.

[0114] The power fluctuation value calculation module 503 is used to calculate the power fluctuation value of the power grid in the target time period using the candidate operating power of the target energy storage system at each unit time as a parameter.

[0115] The access node determination module 504 is used to determine the target access node from each load node based on the voltage fluctuation value and power fluctuation value corresponding to each load node, and to determine the target operating power at each unit time, so that the target energy storage system can access the target access node and operate at the target operating power.

[0116] This application embodiment uses a voltage value acquisition module to acquire at least one load node in the power grid, and the voltage value of each load node at each unit time within a target time period. A voltage fluctuation value calculation module, for each load node, uses the candidate operating power of the target energy storage system at each unit time as a parameter, and calculates the voltage fluctuation value of the power grid in the simulated load node state within the target time period based on the voltage value of each load node at each unit time and the admittance between adjacent load nodes. A power fluctuation value calculation module, using the candidate operating power of the target energy storage system at each unit time as a parameter, calculates the power fluctuation value of the power grid within the target time period. An access node determination module, based on the voltage and power fluctuation values ​​corresponding to each load node, determines the target access node from among the load nodes, and determines the target operating power at each unit time, so that the target energy storage system can access the target access node and operate at the target operating power. This application embodiment, by determining the operating power of the target access node and the energy storage system through the voltage and power fluctuation values ​​of the power grid, can improve the suppression effect of the energy storage system on the voltage and power fluctuation values ​​of the power grid after access, thereby improving the stability of power grid operation.

[0117] Optionally, the voltage value acquisition module 501 includes:

[0118] The predicted voltage calculation unit is used to calculate the predicted voltage value of each load node in the grid under the simulated load node state, based on the candidate operating power of the target energy storage system at each unit time, the voltage value of each load node at each unit time, and the admittance between adjacent load nodes, using the candidate operating power of the target energy storage system at each unit time as a parameter.

[0119] The voltage mean determination unit is used to determine the predicted voltage mean between the predicted voltage values ​​of each load node at each unit time for each load node.

[0120] The first voltage fluctuation value determination unit is used to determine the voltage fluctuation value of the load node within the target time period based on the predicted average voltage value of the load node and the predicted voltage value of the load node at each unit time.

[0121] The second voltage fluctuation value determination unit is used to calculate the voltage fluctuation value of the power grid in the target time period when it is in the state of simulating connected load nodes, based on the voltage fluctuation value of each load node.

[0122] Optionally, the predicted voltage value calculation unit includes:

[0123] The first voltage value determination subunit is used to determine the predicted voltage value of the simulated load node at each unit time, using the candidate operating power of the target energy storage system at the unit time as a parameter, based on the voltage value of the first adjacent node adjacent to the simulated load node at the unit time, and the admittance between the simulated load node and each first adjacent node.

[0124] The second voltage value determination subunit is used to determine the predicted voltage value of the load node at a unit time for each load node other than the simulated load node, based on the voltage value of the second adjacent node adjacent to the load node at a unit time and the admittance between the load node and the second adjacent node.

[0125] Optionally, the power fluctuation value calculation module 503 includes:

[0126] The power average calculation unit is used to calculate the power average between the candidate operating powers of the target energy storage system at each unit time, using the candidate operating power of the target energy storage system at each unit time as a parameter.

[0127] The power fluctuation value calculation unit is used to determine the power fluctuation value of the power grid within the target time period based on the candidate operating power and the average power at each unit time.

[0128] Optionally, the access node determination module 504 includes:

[0129] The power fluctuation value determination unit is used to fuse the voltage fluctuation value and power fluctuation value corresponding to each load node to obtain the power grid fluctuation value corresponding to the load node.

[0130] The operating power adjustment unit is used to adjust the candidate operating power at each unit time until the power fluctuation value of the power grid corresponding to the load node is minimized, and to obtain the reference power fluctuation value of the load node.

[0131] The access node determination unit is used to determine the load node corresponding to the minimum reference power fluctuation value as the target access node, and to take the candidate operating power corresponding to the minimum reference power fluctuation value at each unit time as the target operating power at each unit time.

[0132] Optionally, the device may also include:

[0133] The power node acquisition module is used to acquire at least one power node in the power grid, as well as the initial voltage fluctuation value and initial power fluctuation value of the power grid when no energy storage system is connected.

[0134] The auxiliary fluctuation value acquisition module is used to acquire, for each power node, the auxiliary voltage fluctuation value and auxiliary power fluctuation value in the power grid after the auxiliary energy storage system is connected to the power node, as well as the energy storage capacity of the auxiliary energy storage system.

[0135] The fluctuation suppression ratio determination module is used to determine the fluctuation suppression ratio of the power node based on the initial voltage fluctuation value, the initial power fluctuation value, the energy storage capacity, and the auxiliary voltage fluctuation value and auxiliary power fluctuation value corresponding to the power node.

[0136] The load node determination module is used to identify power nodes whose fluctuation suppression ratio is greater than a preset ratio threshold as load nodes.

[0137] Optional, the fluctuation suppression ratio determination module includes:

[0138] The first difference determination unit is used to determine the voltage fluctuation difference between the initial voltage fluctuation value and the auxiliary voltage fluctuation value;

[0139] The second difference determination unit is used to determine the power fluctuation difference between the initial power fluctuation value and the auxiliary power fluctuation value;

[0140] The first ratio determination unit is used to determine the first ratio between the voltage fluctuation value difference and the energy storage capacity.

[0141] The second ratio determination unit is used to determine the second ratio between the power fluctuation difference and the energy storage capacity;

[0142] The fluctuation suppression ratio determination unit is used to determine the fluctuation suppression ratio of the power node based on the first ratio and the second ratio.

[0143] The energy storage system access device provided in this application embodiment can execute the energy storage system access method provided in any embodiment of this application, and has the corresponding functional modules and beneficial effects for executing the energy storage system access method.

[0144] Example 6

[0145] Figure 6 illustrates a schematic diagram of an electronic device 600 that can be used to implement embodiments of this application. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the application described and / or claimed herein.

[0146] As shown in Figure 6, the electronic device 600 includes at least one processor 601 and a memory, such as a read-only memory (ROM) 602 or a random access memory (RAM) 603, communicatively connected to the processor 601. The memory stores computer programs executable by the processor. The processor 601 can perform various appropriate actions and processes based on the computer program stored in the ROM 602 or loaded into the RAM 603 from storage unit 608. The RAM 603 can also store various programs and data required for the operation of the electronic device 600. The processor 601, ROM 602, and RAM 603 are interconnected via a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0147] Multiple components in electronic device 600 are connected to I / O interface 605, including: input unit 606, such as keyboard, mouse, etc.; output unit 607, such as various types of displays, speakers, etc.; storage unit 608, such as disk, optical disk, etc.; and communication unit 609, such as network card, modem, wireless transceiver, etc. Communication unit 609 allows electronic device 600 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0148] Processor 601 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 601 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 601 performs the various methods and processes described above, such as access methods for energy storage systems.

[0149] In some embodiments, the energy storage system access method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 608. In some embodiments, part or all of the computer program may be loaded into and / or installed on electronic device 600 via ROM 602 and / or communication unit 609. When the computer program is loaded into RAM 603 and executed by processor 601, one or more steps of the energy storage system access method described above may be performed. Alternatively, in other embodiments, processor 601 may be configured to perform the energy storage system access method by any other suitable means (e.g., by means of firmware).

[0150] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0151] Computer programs used to implement the methods of this application may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other access device for a programmable energy storage system, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0152] In the context of this application, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium can be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0153] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0154] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0155] A computing system can include clients and servers. Clients and servers are generally geographically separated and typically interact via communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system. It addresses the shortcomings of traditional physical hosts and VPS (Virtual Private Server) services, such as high management difficulty and weak business scalability.

[0156] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this application can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this application can be achieved, and this is not limited herein.

[0157] The specific embodiments described above do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. An access method of an energy storage system, comprising: obtaining at least one load node in a power grid, and voltage values of each of the load nodes at each unit time in a target time period; for each load node, calculating voltage fluctuation values of the power grid in the target time period in a state of simulating access of the load node, according to voltage values of each of the load nodes at each unit time and admittance between adjacent load nodes, with candidate operating powers of the target energy storage system at each unit time as parameters; calculating power fluctuation values of the power grid in the target time period, with the candidate operating powers of the target energy storage system at each unit time as parameters; determining a target access node from each of the load nodes and target operating powers of each unit time, according to corresponding voltage fluctuation values and power fluctuation values of each of the load nodes, so that the target energy storage system accesses the target access node and operates at each of the target operating powers.

2. The method of claim 1, wherein, The calculating voltage fluctuation values of the power grid in the target time period in a state of simulating access of the load node, according to voltage values of each of the load nodes at each unit time and admittance between adjacent load nodes, with candidate operating powers of the target energy storage system at each unit time as parameters, comprises: calculating predicted voltage values of each of the load nodes at each unit time in the power grid in the state of simulating access of the load node, according to voltage values of each of the load nodes at each unit time and admittance between adjacent load nodes, with the candidate operating powers of the target energy storage system at each unit time as parameters; for each of the load nodes, determining a predicted voltage mean value between predicted voltage values of each of the load nodes at each unit time; determining voltage fluctuation values of the load node in the target time period, according to the predicted voltage mean value of the load node and predicted voltage values of the load node at each unit time; calculating voltage fluctuation values of the power grid in the target time period in the state of simulating access of the load node, according to voltage fluctuation values of each of the load nodes.

3. The method of claim 2, wherein, The calculating predicted voltage values of each of the load nodes at each unit time in the power grid in the state of simulating access of the load node, according to voltage values of each of the load nodes at each unit time and admittance between adjacent load nodes, with the candidate operating powers of the target energy storage system at each unit time as parameters, comprises: for each unit time, determining predicted voltage values of the simulating-access load node at the unit time, according to voltage values of first adjacent nodes adjacent to the simulating-access load node at the unit time and admittance between the simulating-access load node and each of the first adjacent nodes, with the candidate operating power of the target energy storage system at the unit time as a parameter; For each load node except the load node connected to the analog access, a predicted voltage value of the load node at the unit time is determined according to a voltage value of a second adjacent node adjacent to the load node at the unit time and an admittance between the load node and the second adjacent node.

4. The method of claim 1, wherein, The power fluctuation value of the power grid in the target time period is calculated by taking the candidate operating power of the target energy storage system at each unit time as a parameter, including: The power average value between the candidate operating power at each unit time is calculated by taking the candidate operating power of the target energy storage system at each unit time as a parameter. The power fluctuation value of the power grid in the target time period is determined according to the candidate operating power at each unit time and the power average value.

5. The method of claim 1, wherein, The target access node is determined from each load node according to the voltage fluctuation value and the power fluctuation value corresponding to each load node, and the target operating power at each unit time is determined, including: For each load node, the voltage fluctuation value and the power fluctuation value corresponding to the load node are fused to obtain the power grid power fluctuation value corresponding to the load node. The candidate operating power at each unit time is adjusted until the power grid power fluctuation value corresponding to the load node is minimized to obtain the reference power fluctuation value of the load node. The load node corresponding to the minimum reference power fluctuation value is determined as the target access node, and the candidate operating power at each unit time corresponding to the minimum reference power fluctuation value is taken as the target operating power at each unit time.

6. The method according to claim 1, wherein, Before obtaining at least one load node in the power grid, further comprising: At least one power node in the power grid and the initial voltage fluctuation value and the initial power fluctuation value of the power grid when no energy storage system is connected are obtained. For each power node, the auxiliary voltage fluctuation value and the auxiliary power fluctuation value in the power grid after an auxiliary energy storage system is connected to the power node, and the energy storage capacity of the auxiliary energy storage system are obtained. The fluctuation suppression ratio of the power node is determined according to the initial voltage fluctuation value, the initial power fluctuation value and the energy storage capacity, and the auxiliary voltage fluctuation value and the auxiliary power fluctuation value corresponding to the power node. The power node whose fluctuation suppression ratio is greater than a preset ratio threshold is determined as a load node.

7. The method of claim 6, wherein, The fluctuation suppression ratio of the power node is determined according to the initial voltage fluctuation value, the initial power fluctuation value and the energy storage capacity, and the auxiliary voltage fluctuation value and the auxiliary power fluctuation value corresponding to the power node, including: The voltage fluctuation value difference between the initial voltage fluctuation value and the auxiliary voltage fluctuation value is determined. The power fluctuation difference between the initial power fluctuation value and the auxiliary power fluctuation value is determined. The first ratio between the voltage fluctuation value difference and the energy storage capacity is determined. The second ratio between the power fluctuation difference and the energy storage capacity is determined. The fluctuation suppression ratio of the power node is determined according to the first ratio and the second ratio.

8. An energy storage system access device, comprising: a voltage value acquisition module, configured to acquire at least one load node in a power grid, and voltage values of each of the load nodes at each unit time in a target time period; a voltage fluctuation value calculation module, configured to, for each load node, take candidate operating powers of a target energy storage system at each unit time as parameters, and calculate voltage fluctuation values of the power grid in the target time period in a state of simulating access to the load node according to the voltage values of each load node at each unit time and admittance between adjacent load nodes; a power fluctuation value calculation module, configured to take the candidate operating powers of the target energy storage system at each unit time as parameters, and calculate power fluctuation values of the power grid in the target time period; an access node determination module, configured to determine a target access node from each of the load nodes according to corresponding voltage fluctuation values and power fluctuation values of each of the load nodes, and determine target operating powers at each unit time, so that the target energy storage system accesses the target access node and operates at each of the target operating powers. 9.An electronic device, comprising: at least one processor; and a memory connected with the at least one processor in communication; wherein, the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the energy storage system access method of any one of claims 1-7. 10.A computer readable storage medium storing computer instructions for enabling a processor to implement the energy storage system access method of any one of claims 1-7 when executed.

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