Shared energy storage power station energy management method and system considering cluster division

Abstract

Disclosed in the present invention are a shared energy storage power station energy management method and system considering cluster division, which belongs to the technical field of energy storage. The method comprises: according to requirements, dividing a shared energy storage power station into a plurality of clusters, each cluster comprising a plurality of battery energy storage units; on the basis of parameters of the shared energy storage power station in a time period t and electricity prices in cluster-involved markets, generating a battery energy storage unit parameter table; acquiring a power demanded by a power grid for shared energy storage in a time period T; and allocating the power of each battery energy storage unit in the power station in the time period T. The present invention uses a battery energy storage unit cluster division method considering a sharing mechanism, and can increase the total income of the shared energy storage power station while considering SOC conditions of the battery energy storage units. The present method considers both economic efficiency and SOC consistency, thereby satisfying dispatchability requirements while ensuring the system economic efficiency.

Description

Energy management method and system for shared energy storage power station considering cluster division

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] The present invention claims priority to a Chinese patent application filed with the Patent Office of China on September 19, 2023, with application number 202311208968.9 and title “Energy management method and system for a shared energy storage power station considering cluster partitioning,” the entire contents of which are incorporated herein by reference. Technical Field

[0003] The present invention relates to the field of energy storage technology, and provides an energy management method and system for a shared energy storage power station taking cluster division into consideration. Background Art

[0004] Battery energy storage systems are a type of electrical energy storage technology. These systems use several batteries to store electricity. The batteries are charged and then released as needed. Battery storage is an increasingly popular option for renewable energy producers. In fact, many forward-thinking companies have already adopted battery energy storage systems. Despite the large-scale development of battery energy storage systems, many remain idle for extended periods, resulting in low utilization efficiency and poor economic performance.

[0005] The patent application with publication number CN115733189A provides a shared energy storage scheduling method and system based on energy frequency regulation and load demand, including: establishing an objective function for the shared energy storage system to participate in the coordinated scheduling of energy frequency regulation and load demand; inputting relevant parameters of the grid side, user side and shared energy storage system into the objective function; solving the objective function based on the switching cost of the objective function constraints and the load importance, combined with a mixed integer linear programming algorithm, to obtain a shared energy storage configuration scheme; configuring the shared energy storage system according to the shared energy storage configuration scheme, and controlling the shared energy storage system to participate in the energy coordinated scheduling of the grid side and the user side according to the shared energy storage system hierarchical control strategy. The present invention allows the shared energy storage system to participate in the coordinated optimization scheduling of the grid side and the user side at the same time, and improves the service life of the shared energy storage system through a hierarchical control strategy, which reflects the application value of the shared energy storage system and improves the utilization efficiency of the shared energy storage system.

[0006] The application utilizes two energy storage systems of equal capacity, without considering the actual power plant topology or the smallest battery storage unit, resulting in ambiguous control. It only applies threshold constraints to the state of charge (SOC) of the two energy storage systems, without considering the SOC of the battery storage units. In actual operation, the SOC of one battery storage unit may reach the threshold, preventing charging or discharging, which would reduce the system's dispatchability.

[0007] Summary of the Invention

[0008] In order to solve the problems existing in the prior art, the present invention provides an energy management method and system for a shared energy storage power station taking into account cluster division. The allocation method of the present invention takes into account both economy and SOC consistency, and satisfies schedulability while ensuring system economy.

[0009] The purpose of the present invention is achieved at least through the following technical solutions:

[0010] A first aspect of the present invention provides an energy management method for a shared energy storage power station considering cluster division, comprising:

[0011] Divide the shared energy storage power station into several clusters, each cluster containing several battery energy storage units;

[0012] Generate a battery energy storage unit parameter table based on the shared energy storage power station parameters during period t and the cluster's market electricity price;

[0013] Obtain the power demand of the grid for shared energy storage during period T;

[0014] The power of each battery energy storage unit in the power station is allocated during time period T. Based on the battery energy storage unit parameter table, the required charging or discharging state of the shared energy storage station is determined according to the required power. Then, several clusters are sorted according to market electricity prices to determine the cluster's charging and discharging priority. The battery energy storage units are sorted according to the cluster's charging and discharging priority, taking into account the relationship between the required power and the rated power of the battery energy storage units in the cluster. The battery energy storage units that need to be charged or discharged are selected based on the sorting, and the power of each battery energy storage unit is allocated.

[0015] As a further improvement of the present invention, the shared energy storage power station is divided into several clusters, including:

[0016] Based on the different markets they participate in, shared energy storage power stations are divided into clusters participating in the spot market and clusters participating in the ancillary service market.

[0017] As a further improvement of the present invention, the shared energy storage power station parameters include status parameters of the battery energy storage units.

[0018] As a further improvement of the present invention, the battery energy storage unit parameter table includes:

[0019] The state of charge SOC of each battery energy storage unit i in each cluster during period t i (t);

[0020] The electricity price in the spot market or ancillary services market in which each cluster participates;

[0021] The power of the cluster in period t;

[0022] Rated power of the cluster.

[0023] As a further improvement of the present invention, the step of determining whether the shared energy storage power station needs to be charged or discharged according to the required power includes:

[0024] When the required power P BESS When (t)>0, the shared energy storage power station needs to discharge;

[0025] When the required power P BESS (t)<0, the shared energy storage power station needs to be charged;

[0026] When the required power P BESS (t) = 0, the shared energy storage power station does not need to charge or discharge.

[0027] As a further improvement of the present invention, the method of sorting the plurality of clusters according to the market electricity price to determine the charging and discharging priorities of the clusters includes:

[0028] The electricity prices of several clusters in the spot market or ancillary service market are sorted, and the charging and discharging priority of the cluster is determined according to the priority from large to small.

[0029] As a further improvement of the present invention, the step of sorting the battery energy storage units includes:

[0030] When discharging, the battery storage units in the cluster are sorted from largest to smallest according to their SOC;

[0031] When charging, the battery energy storage units in the cluster are sorted from smallest to largest according to their SOC.

[0032] As a further improvement of the present invention, the power distribution of each battery energy storage unit in the power station within the time period T includes:

[0033] When the power grid's demand for shared energy storage power P BESS When (t)>0, the shared energy storage power station needs to discharge, and the number of battery energy storage units that need to be discharged is N dis (t);

[0034] The two clusters are sorted according to the electricity price during period t, which can be divided into two cases:

[0035] 1) When cluster a participates in the spot market or ancillary service market, the electricity price COST a (t) The electricity price COST of cluster b in the spot market or ancillary service market b (t)Satisfy: COST a (t)>COST b (t), cluster a discharges first, which can be divided into two cases:

[0036] When the rated power of cluster a is P Na Satisfied: PNa ≥|P BESS (t)|, only cluster a discharges, the power of cluster a in time period t is P a (t) Satisfy: P a (t) = P BESS (t), and sort the battery energy storage units in cluster a from large to small according to their SOC; select the top N dis (t) battery energy storage units are discharged; the first N dis (t)-The power of one battery energy storage unit is P N , and the Nth dis The discharge power of (t) battery energy storage units is P last (t);

[0037] When the rated power of cluster a is P Na Satisfied: P Na <|P BESS At (t)|, cluster a and cluster b discharge simultaneously; cluster a discharges first, cluster a discharges according to rated power, and cluster b discharges according to residual power, P a (t) = P Na , m battery energy storage units in cluster a are based on power P N Discharge; The battery energy storage units in cluster b are sorted from large to small according to their SOC; The first N dis (t)-m-1 battery energy storage unit power is P N , Nth dis (t)-The power of m battery energy storage units is P last (t);

[0038] 2) When COST a (t) <COST b (t), cluster b discharges first, which can be divided into two cases:

[0039] When the rated power of cluster b is P Nb Satisfied: P Nb ≥|P BESS (t)|, only cluster b discharges, then the power of cluster b in time period t is P b (t) Satisfy: P b (t) = P BESS (t), and sort the battery energy storage units in cluster b from large to small according to their SOC; select the top N dis (t) battery energy storage units are discharged; the first N dis (t)-The power of one battery energy storage unit is P N , Nth dis The discharge power of (t) battery energy storage units is P last (t);

[0040] When the rated power of cluster b is P Nb Satisfy P Nb <|P BESS At (t)|, cluster b discharges at rated power first, and cluster a discharges according to the remaining power: the n battery energy storage units in cluster b are all discharged at power P N Discharge; the battery energy storage units in cluster a are sorted from large to small according to their SOC, and the first N in cluster a dis (t)-The power of n-battery energy storage units is P N , Nth dis (t)-The power of n battery energy storage units is P last (t).

[0041] As a further improvement of the present invention, the power distribution of each battery energy storage unit in the power station within the time period T includes:

[0042] When the power grid's demand for shared energy storage power P BESS (t)<0, the shared energy storage power station needs to be charged, and the number of battery energy storage units that need to be charged is N char (t); According to the cluster electricity price, it is divided into two cases:

[0043] 1) When cluster a participates in the spot market or ancillary service market, the electricity price COST a (t) The electricity price COST of cluster b in the spot market or ancillary service market b (t)Satisfy: COST a (t) <COST b (t), cluster a is charged first, which can be divided into two cases:

[0044] When the rated power of cluster a is P Na Satisfied: P Na ≥|P BESS (t)|, only cluster a is charging; the power of cluster a in time period t is P a (t) Satisfy: P a (t) = P BESS (t), sort the SOC of the battery energy storage units in cluster a from small to large; select the top N char (t) battery energy storage units are charged; the first N char (t)-1 battery energy storage unit power is -P N , Nth char (t) The power of the battery energy storage unit is P last (t);

[0045] When the rated power of cluster a is P Na Satisfied: P Na <|P BESSAt (t)|, all battery energy storage units in cluster a are powered by rated power P N Charging; sort the SOC of the battery energy storage units in cluster b from small to large; the top N in cluster b char (t)-The power of m-1 battery energy storage units is -P N , Nth char (t)-The power of m battery energy storage units is P last (t);

[0046] 2) When COST a (t)>COST b At (t), cluster b is charged first, which can be divided into two cases:

[0047] When the rated power of cluster b is P Nb Satisfied: P Nb ≥|P BESS (t)|, only cluster b is charged; sort the SOC of the battery energy storage units in cluster b from small to large; select the top N char (t) battery energy storage units are charged; the first N char (t)-1 battery energy storage unit power is -P N , Nth char (t) The power of the battery energy storage unit is P last (t);

[0048] When the rated power of cluster b is P Nb Satisfy P Nb <|P BESS At (t)|, the n battery energy storage units in cluster b are powered by the rated power - P N Charging; The SOC of the battery energy storage units in cluster a is sorted from small to large; The top N in cluster a char (t)-n-1 battery energy storage unit power is-P N , Nth char (t)-The power of n battery energy storage units is P last (t).

[0049] As a further improvement of the present invention, after allocating the power of each battery energy storage unit in the power station within the T period, the method further includes:

[0050] If t<T, a battery energy storage unit parameter table is generated based on the shared energy storage power station parameters during the t+1 period and the cluster's market electricity price, and power allocation is performed cyclically until t≥T, at which point power allocation ends.

[0051] A second aspect of the present invention provides a shared energy storage power station energy management system considering cluster division, comprising:

[0052] The cluster division module is used to divide the shared energy storage power station into several clusters according to demand, each cluster contains several battery energy storage units;

[0053] A parameter table generation module is used to generate a battery energy storage unit parameter table based on the shared energy storage power station parameters during period t and the cluster's market electricity price;

[0054] The power demand acquisition module is used to obtain the power demanded by the grid for the shared energy storage during the T period;

[0055] The power allocation module is used to allocate power to each battery energy storage unit in the power station during time period T. Based on the battery energy storage unit parameter table, the module determines whether the shared energy storage station needs to be charged or discharged according to the required power. The module then sorts several clusters according to market electricity prices to determine the cluster's charging and discharging priority. The module then sorts the battery energy storage units according to the cluster's charging and discharging priority, taking into account the relationship between the required power and the rated power of the battery energy storage units in the cluster. The module then selects the battery energy storage unit that needs to be charged or discharged based on the sorting and allocates power to each battery energy storage unit.

[0056] A third aspect of the present invention provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the energy management method for a shared energy storage power station taking cluster division into consideration when executing the computer program.

[0057] A fourth aspect of the present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the energy management method for a shared energy storage power station considering cluster division.

[0058] Compared with the prior art, the present invention has the following beneficial effects:

[0059] To address the economic challenges of large-scale energy storage power stations, this paper proposes a shared energy storage power station energy management method that considers clustering. The shared energy storage power station is divided into several clusters based on demand, each participating in different markets. Each cluster contains several battery energy storage units. A battery energy storage unit parameter table is generated based on the shared energy storage station parameters and the electricity price in the cluster's participating market. The battery energy storage units are then ranked. The corresponding battery energy storage units are selected for power allocation based on the ranking in the battery energy storage unit parameter table. The power of all selected battery energy storage units is calculated and allocated to the corresponding battery energy storage units. This battery energy storage unit clustering method, which considers a sharing mechanism, improves the overall revenue of the shared energy storage power station while also considering the battery energy storage unit SOC. First, the shared energy storage power station is divided into different clusters, each participating in different markets. Second, a real-time battery energy storage unit parameter table is established, which includes the electricity price of the cluster's participating electricity market and the battery energy storage unit SOC. The battery energy storage units are ranked, and finally, power is rationally allocated to maximize efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following introduction is made to the drawings of the embodiments of the present invention or the related technical solutions in the prior art. It should be understood that the drawings introduced below are only for the convenience of clearly describing some embodiments of the technical solutions of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative work.

[0061] FIG1 is a flow chart of an energy management method for a shared energy storage power station considering cluster division according to an embodiment of the present invention;

[0062] FIG2 is a flow chart of a method for energy management of a shared energy storage power station considering cluster division according to an embodiment;

[0063] FIG3 is a schematic diagram of a topological structure of a shared energy storage power station divided into clusters according to an embodiment;

[0064] Figure 4 is a graph showing the power demand curve of a shared energy storage power station from the power grid;

[0065] Figure 5 shows the electricity price curves for the spot market and ancillary service market;

[0066] Figure 6(a) shows the power curve of cluster a; Figure 6(b) shows the power curve of cluster b;

[0067] Figure 7 is a SOC curve diagram of the cluster in the shared energy storage power station;

[0068] Figure 8 is a SOC curve diagram of each battery energy storage unit in a shared energy storage power station (method one);

[0069] Figure 9 is a comparison of the SOC curves of each battery energy storage unit in the shared energy storage power station (method 2);

[0070] Figure 10 is a comparison of the SOC curves of cluster a and cluster b (method 2);

[0071] Figure 11(a) Output power curve of cluster a (method 2); Figure 11(b) Output power curve of cluster b (method 2);

[0072] Figure 12 is a SOC curve diagram of each battery energy storage unit in a shared energy storage power station (method three);

[0073] Figure 13 shows the SOC curves of cluster a and cluster b (method three);

[0074] Figure 14(a) Output power curve of cluster a (method three), Figure 14(b) Output power curve of cluster b (method three);

[0075] FIG15 is a diagram of a shared energy storage power station energy management system considering cluster division provided by the present invention;

[0076] FIG16 is a schematic diagram of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0077] The embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention and are not to be construed as limiting the present invention. The step numbers in the following embodiments are provided for ease of explanation only and do not limit the order of the steps. The order of execution of the steps in the embodiments can be adaptively adjusted according to the understanding of those skilled in the art.

[0078] In the description of the present invention, "several" means one or more, "many" means more than two, "greater than," "less than," and "exceed" are understood to exclude the number itself, while "above," "below," and "within" are understood to include the number itself. The use of "first" and "second" in the description is solely for the purpose of distinguishing technical features and should not be construed as indicating or implying relative importance, implicitly specifying the number of the indicated technical features, or implicitly specifying the order of the indicated technical features.

[0079] Battery energy storage systems are developing on a large scale, but most of them remain idle for a long time, resulting in low utilization efficiency and poor economic efficiency. When two or more independent energy storage systems work together, the use of a shared energy storage system can fully utilize the advantages of different energy storage systems, improve work efficiency, and reduce system construction costs. Based on this, the present invention proposes a shared energy storage power station energy management method and system that considers cluster division. This method can be applied to practical application scenarios such as energy storage participating in the spot market, peak shaving, and frequency regulation.

[0080] As shown in FIG1 , the first object of the present invention is to provide an energy management method for a shared energy storage power station taking into account cluster division, including:

[0081] S1, divide the shared energy storage power station into several clusters according to demand, each cluster contains several battery energy storage units;

[0082] S2, generating a battery energy storage unit parameter table based on the shared energy storage power station parameters and the cluster's market electricity price during period t;

[0083] S3, obtain the power demand of the grid for shared energy storage during the T period;

[0084] S4, allocating the power of each battery energy storage unit in the power station during time period T: Based on the battery energy storage unit parameter table, determine the required charging or discharging state of the shared energy storage power station according to the required power, then sort several clusters according to market electricity prices to determine the cluster's charging and discharging priority; combine the relationship between the required power and the rated power of the battery energy storage units in the cluster, and sort the battery energy storage units according to the cluster's charging and discharging priority; select the battery energy storage unit that needs to be charged or discharged based on the sorting, and allocate power to each battery energy storage unit.

[0085] The present invention considers a method for dividing energy storage power station clusters, where each cluster contains several battery energy storage units, and different clusters participate in different markets. This method simultaneously considers the contributions of economy and SOC consistency to implement a power allocation method for energy storage power stations, ensuring system economy and a certain degree of dispatchability.

[0086] In addition, the present invention adopts a battery energy storage unit cluster division method that takes into account the sharing mechanism. Each cluster contains several battery energy storage units, and different clusters participate in different markets. The shared energy storage power station power allocation method adopted takes into account the battery energy storage unit SOC and maximum profit.

[0087] As an optional solution of the above embodiment, in S1, the shared energy storage power station is divided into several clusters according to demand, including: a cluster participating in the spot market and a cluster participating in the ancillary service market. Of course, multiple clusters can be appropriately divided according to market conditions.

[0088] As an optional solution of the above embodiment, in S2, the shared energy storage power station parameters include the state parameters of the battery energy storage unit, and the battery energy storage unit parameter table includes: the SOC of each battery energy storage unit i in each cluster in time period t; i (t), the electricity price in the spot market or ancillary service market that each cluster participates in, the power of the cluster in period t, and the rated power of the cluster.

[0089] As an optional solution of the above embodiment, in S4, judging whether the shared energy storage power station needs to be charged or discharged according to the required power includes:

[0090] When the required power P BESS When (t)>0, the shared energy storage power station needs to discharge;

[0091] When the required power P BESS (t)<0, the shared energy storage power station needs to be charged;

[0092] When the required power P BESS (t) = 0, the shared energy storage power station does not need to charge or discharge.

[0093] The step of sorting the clusters according to the market electricity prices to determine the charging and discharging priorities of the clusters includes sorting the clusters according to the electricity prices in the spot market or ancillary service market, and determining the charging and discharging priorities of the clusters according to the priorities in descending order.

[0094] More specifically, the step of sorting the battery energy storage units includes:

[0095] When discharging, the battery storage units in the cluster are sorted from largest to smallest according to their SOC;

[0096] When charging, the battery energy storage units in the cluster are sorted from smallest to largest according to their SOC.

[0097] The present invention adopts an iterative cycle algorithm, and after the power allocation in time period t is completed, it also includes:

[0098] If t<T, a battery energy storage unit parameter table is generated based on the shared energy storage power station parameters during the t+1 period and the cluster's market electricity price, and power allocation is performed cyclically until t≥T, at which point power allocation ends.

[0099] This solution proposes dividing the shared energy storage power station into several clusters to participate in different markets. This is illustrated by taking two clusters participating in the spot market and the ancillary service market respectively as an example. Combined with Figure 2, the present invention proposes a flow chart of the energy management method for a shared energy storage power station considering cluster division.

[0100] The specific implementation process is as follows:

[0101] Step 1: Divide the shared energy storage power station into several clusters;

[0102] Taking a shared energy storage power station consisting of two clusters as an example, the shared energy storage power station is divided into cluster a and cluster b. Cluster a contains m battery energy storage units and participates in the spot market. Cluster b contains n battery energy storage units and participates in the ancillary services market. The shared energy storage power station proposed in this invention is shown in Figure 3. The shared energy storage power station comprises several clusters, each of which contains several battery energy storage units.

[0103] Step 2: Create a battery energy storage unit parameter table based on the status parameters of each cluster and battery energy storage unit during time period t.

[0104] Table 1 is a table of battery energy storage unit parameters generated based on the status of each cluster and battery energy storage unit of the shared energy storage power station during period t. i (t) is the state of charge SOC of battery energy storage unit i in period t; COST a (t), COST b (t) represents the electricity price in the spot market or ancillary service market participated by cluster a and cluster b, respectively, in period t, P a (t), P b (t) are the power of cluster a and cluster b in time period t, P Na , P Nb are the rated power of cluster a and cluster b respectively, P N is the rated power of a battery energy storage unit.

[0105] Table 1 Battery energy storage unit parameters

[0106] Step 3: Obtain the power P required by the grid for shared energy storage during period t BESS (t);

[0107] Step 4: Allocate the power of each battery energy storage unit in the power station during the T period:

[0108] 1. When the required power P BESS When (t)>0, the shared energy storage power station needs to discharge, and the number of battery energy storage units that need to be discharged is N dis (t), as shown in formula (1). Where [x] represents the rounding up of x.

[0109] The two clusters are sorted according to the electricity price during period t, which can be divided into two cases:

[0110] (1) When COST a (t)>COST b(t), in order to maximize the benefits, cluster a is discharged first. There are two cases:

[0111] When the rated power of cluster a is P Na Satisfied: P Na ≥|P BESS (t) | At this time, only cluster a is discharging, so the rated power of cluster a is P Na Equal to the power demand of the grid for shared energy storage, that is, P a (t) = P BESS (t), and sort the battery energy storage units in cluster a from large to small according to their SOC. Select the top N dis (t) battery energy storage units are discharged. dis (t)-The power of one battery energy storage unit is P N , and the Nth dis The discharge power of (t) battery energy storage units is P last (t).

[0112] The final allocated battery energy storage unit power is: P last (t) = P BESS (t)-(N dis (t)-1)P N (2)

[0113] When the rated power of cluster a is P Na Satisfied: P Na <|P BESS At (t)|, cluster a and cluster b discharge simultaneously. Since cluster a discharges first, cluster a discharges according to the rated power, and cluster b discharges according to the residual power, so P a (t) = P Na , all m battery energy storage units in cluster a are rated at power P N Discharge. For cluster b, sort the battery energy storage units in group b from large to small according to their SOC. dis (t)-m-1 battery energy storage unit power is P N , Nth dis (t)-The power of m battery energy storage units is P last (t).

[0114] (2) When COST a (t) <COST b (t), cluster b discharges first, and there are two cases:

[0115] When the rated power of cluster b is P Nb Satisfied: P Nb ≥|P BESS(t)|, at this time, only cluster b discharges, so the power of cluster b is equal to the power demanded by the grid for shared energy storage, that is, P b (t) = P BESS (t), and sort the battery energy storage units in cluster b from largest to smallest according to their SOC. Select the top N dis (t) battery energy storage units are discharged. dis (t)-The power of one battery energy storage unit is P N , and the Nth dis The discharge power of (t) battery energy storage units is P last (t).

[0116] When the rated power of cluster b is P Nb Satisfy P Nb <|P BESS At (t)|, cluster a and cluster b discharge simultaneously. Since cluster b discharges first, cluster b discharges according to the rated power, and cluster a discharges according to the residual power, so P b (t) = P Nb , all n battery energy storage units in cluster b are discharged at rated power P. For cluster a, sort the battery energy storage units in group a from largest to smallest according to their SOC. dis (t)-n-1 battery energy storage unit power is P N , Nth dis (t)-The power of n battery energy storage units is P last (t).

[0117] 2. When P BESS (t)<0, the shared energy storage power station needs to be charged, and the number of battery energy storage units that need to be charged is N char (t), satisfying:

[0118] Similarly, there are two cases based on cluster electricity prices:

[0119] (1) When COST a (t) <COST b (t), in order to maximize the benefits, cluster a is given priority to charge, which is divided into two cases:

[0120] When the rated power of cluster a is P Na Satisfied: P Na ≥|P BESS (t)|, the power of cluster a is equal to the power demanded by the grid for shared energy storage, i.e., P a (t) = P BESS (t), only cluster a is charging. Sort the SOC of the battery energy storage units in cluster a from small to large. Select the top N char(t) battery energy storage units are charged. char (t)-1 battery energy storage unit power is -P N , Nth char (t) The power of the battery energy storage unit is P last (t).

[0121] When the rated power of cluster a is P Na Satisfied: P Na <|P BESS (t)|, P a (t) = P Na , all battery energy storage units in cluster a are rated at P N For cluster b, sort the SOC of the battery energy storage units in cluster b from small to large. At this time, the first N char (t)-The power of m-1 battery energy storage units is -P N , Nth char (t)-The power of m battery energy storage units is P last (t).

[0122] (2) When COST a (t)>COST b At (t), cluster b is charged first, which can be divided into two cases:

[0123] When the rated power of cluster b is P Nb Satisfied: P Nb ≥|P BESS (t)|, the power of cluster b is equal to the power demanded by the grid for shared energy storage, that is, P b (t)=|P BESS (t)|, only cluster b is charging. Sort the SOC of the battery energy storage units in cluster b from small to large. Select the top N char (t) battery energy storage units are charged. char (t)-1 battery energy storage unit power is -P N , Nth char (t) The power of the battery energy storage unit is P last (t).

[0124] When the rated power of cluster b is P Nb Satisfy P Nb <|P BESS (t)|, P a (t) = P Na , all battery energy storage units in cluster b are rated at P N For cluster a, sort the SOC of the battery energy storage units in cluster a from small to large. At this time, the first N char(t)-n-1 battery energy storage unit power is-P N , Nth char (t)-The power of n battery energy storage units is P last (t).

[0125] If a shared energy storage power station is divided into three or more clusters participating in different markets, the principles and methods are the same. Obviously, those skilled in the art can make various modifications and variations to the present invention without departing from the spirit and scope of the present invention. Thus, if such modifications and variations fall within the scope of the present claims and their equivalents, the present invention is intended to include such modifications and variations.

[0126] The shared energy storage plant used in this simulation example has a capacity of 50 MW / 100 MW / h. The shared energy storage plant includes a total of 100 battery energy storage units, each with a different initial SOC. Each unit has a rated power of 0.5 MW and a capacity of 1 MW / h.

[0127] This paper simulates a scenario where a shared energy storage power station participates in transactions in the spot market or ancillary services market. The shared energy storage devices used are divided into two clusters (cluster a and cluster b), each containing 50 battery energy storage units. Each time period lasts 3 minutes, for a total of T = 1440 minutes. The power demand from the grid is shown in Figure 4, and Figure 5 shows the spot market and ancillary services market electricity prices. The two methods are used to compare and analyze the daily revenue L, which satisfies:

[0128] In order to better demonstrate the superiority of the energy management method for a shared energy storage power station taking into account economy and cluster division provided by the present invention (denoted as method 1), the following three methods are compared and analyzed.

[0129] Method 2: Smoothing control of photovoltaic and wind power generation fluctuations based on BESS [J], Li Xiangjun et al., IEEE Journal of Sustainable Energy, 2013.4(2): 464-473. A SOC feedback control method and real-time power allocation method are proposed. When the shared energy storage station discharges, the discharge power of the battery energy storage unit i satisfies:

[0130] When the shared energy storage station is charging, the charging power of battery energy storage unit i satisfies:

[0131] Calculate the battery energy storage unit power according to equations (4) and (5). When the limit is exceeded, the battery energy storage unit power is equal to the rated power. The remaining power is distributed to the remaining battery energy storage units according to the above two equations, that is:

[0132] ●

[0133] ●

[0134] Method 3: Real-time power allocation method based on SOC feedback control considering price coefficient. Since the second method does not consider the price factor, the present invention proposes SOC feedback control considering price coefficient, and defines price coefficient λ a ,λ b satisfy:

[0135] (1) When the shared energy storage power station discharges, the discharge power of the battery energy storage unit i belonging to cluster a satisfies:

[0136] When the battery energy storage unit i belongs to cluster b, the discharge power satisfies:

[0137] (2) When the shared energy storage station is charging, the charging power when the battery energy storage unit i belongs to cluster a satisfies:

[0138] ● When battery energy storage unit i belongs to cluster b, the charging power satisfies:

[0139] ●

[0140] When using method 1, as shown in Figures 6(a), 6(b), and 7, before T = 840 minutes, the spot market electricity price is low, and cluster a takes priority for charging, while the ancillary service market price is high, and cluster b takes priority for discharging. During this period, cluster a's SOC increases, while cluster b's SOC decreases. After T = 840 minutes, the ancillary service market price is high, and cluster a takes priority for discharging, while cluster b takes priority for charging. During this period, cluster a's SOC decreases, while cluster b's SOC increases. It can be seen that the maximum power of each cluster is 25 MW. When the power demand of the shared energy storage power station exceeds 25 MW, the higher-priority cluster will charge and discharge at rated power, while the lower-priority cluster will supplement the remaining demand of the grid. The specific data is shown in Table 2, where positive power values ​​indicate discharge and negative power values ​​indicate storage.

[0141] Table 2 Power of each cluster

[0142] As shown in Figure 8, the SOC curves of multiple battery energy storage units were simulated using Method 1. As time went on, the SOCs of the battery energy storage units in different clusters began to differ. Before T = 840 minutes, cluster a was mainly charging, and the SOC gradually increased; cluster b was mainly discharging, and the SOC gradually decreased. After T = 840 minutes, cluster a was mainly discharging, and the SOC gradually decreased; cluster b was mainly charging, and the SOC gradually increased. The method proposed in this invention maximizes the benefits while ensuring the consistency of the SOC of each battery energy storage unit.

[0143] Using Method 2: As shown in Figure 9, using Method 2, simulations generate SOC curves for multiple battery energy storage units. The SOC of each battery energy storage unit in the shared energy storage power station gradually equalizes. As shown in Figures 10, 11(a), and 11(b), without considering market electricity prices, the SOC trends of clusters a and b are similar, and their power levels are also relatively close.

[0144] Using Method 3: As shown in Figure 12, the SOC curves of multiple battery energy storage units simulated using Method 3 ultimately achieve good consistency between the SOCs of clusters a and b. As shown in Figure 13, at t = 1100 minutes, the SOCs of clusters a and b become different due to the price factor.

[0145] As shown in Figure 14(a) and Figure 14(b), it can be seen that the price coefficient significantly affects the power of cluster a and cluster b. When the spot market price is low, cluster a is given priority to charge and cluster b is given priority to discharge. When the spot market price is high, cluster a is given priority to discharge and cluster b is given priority to charge. Table 3 shows the benefits obtained by calculating the three methods using formula (8). Among them, the energy management method of the shared energy storage power station proposed by the present invention considering economic efficiency has the highest benefit, the SOC feedback control method that does not consider economic efficiency has the lowest benefit, and the SOC feedback control real-time power allocation method considering the price coefficient has a benefit between the two.

[0146] Table 3 Daily income of shared energy storage power station under three methods

[0147] In summary, the method of the present invention considers the division of battery energy storage unit clusters into sharing mechanisms and their participation in different markets. It is a power allocation method based on demand power, battery energy storage unit SOC, and cluster participation market electricity prices, and has the following advantages:

[0148] 1) A battery energy storage unit clustering method that considers a sharing mechanism is provided. This method can combine battery energy storage units in shared energy storage into clusters to participate in different electricity markets, thereby improving the efficiency of shared energy storage power stations.

[0149] 2) Establish a power market transaction price that includes cluster participation, a real-time battery energy storage unit parameter table of the battery energy storage unit SOC, and perform real-time power allocation for each battery energy storage unit to ensure economy and SOC consistency.

[0150] As shown in FIG15 , a second objective of an embodiment of the present invention is to provide an energy management system for a shared energy storage power station that considers cluster division, including:

[0151] The cluster division module is used to divide the shared energy storage power station into several clusters according to demand, each cluster contains several battery energy storage units;

[0152] A parameter table generation module is used to generate a battery energy storage unit parameter table based on the shared energy storage power station parameters during period t and the cluster's market electricity price;

[0153] The power demand acquisition module is used to obtain the power demanded by the grid for the shared energy storage during the T period;

[0154] The power allocation module is used to allocate power to each battery energy storage unit in the power station during time period T. Based on the battery energy storage unit parameter table, the module determines whether the shared energy storage station needs to be charged or discharged according to the required power. The module then sorts several clusters according to market electricity prices to determine the cluster's charging and discharging priority. The module then sorts the battery energy storage units according to the cluster's charging and discharging priority, taking into account the relationship between the required power and the rated power of the battery energy storage units in the cluster. The module then selects the battery energy storage unit that needs to be charged or discharged based on the sorting and allocates power to each battery energy storage unit.

[0155] The content of the energy management system of a shared energy storage power station considering cluster division of the present invention is consistent with the energy management method of a shared energy storage power station considering cluster division.

[0156] As shown in Figure 16, the third purpose of an embodiment of the present invention is to provide an electronic device, including a memory, a processor, and a computer program stored in the memory and run on the processor, wherein when the processor executes the computer program, it implements the energy management method of the shared energy storage power station considering cluster division.

[0157] A fourth object of an embodiment of the present invention is to provide a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the energy management method for a shared energy storage power station considering cluster division.

[0158] The above-mentioned energy management method for a shared energy storage power station considering cluster division includes:

[0159] S1, divide the shared energy storage power station into several clusters according to demand, each cluster contains several battery energy storage units;

[0160] S2, generating a battery energy storage unit parameter table based on the shared energy storage power station parameters and the cluster's market electricity price during period t;

[0161] S3, obtain the power demand of the grid for shared energy storage during the T period;

[0162] S4, allocating the power of each battery energy storage unit in the power station during time period T: Based on the battery energy storage unit parameter table, determine the required charging or discharging state of the shared energy storage power station according to the required power, then sort several clusters according to market electricity prices to determine the cluster's charging and discharging priority; combine the relationship between the required power and the rated power of the battery energy storage units in the cluster, and sort the battery energy storage units according to the cluster's charging and discharging priority; select the battery energy storage unit that needs to be charged or discharged based on the sorting, and allocate power to each battery energy storage unit.

[0163] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that the specific embodiments of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be included within the scope of protection of the claims of the present invention. Those skilled in the art should understand that the embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment that combines software and hardware. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0164] The present invention is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device for implementing the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0165] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a product including an instruction device that implements the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0166] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram. Industrial Applicability

[0167] The present application provides an energy management method for a shared energy storage power station taking cluster division into consideration, adopting a battery energy storage unit cluster division method taking into consideration a sharing mechanism, while also taking into consideration the SOC of the battery energy storage unit, to improve the total revenue of the shared energy storage power station. First, the shared energy storage power station is divided into different clusters to participate in different markets. Secondly, by establishing a real-time battery energy storage unit parameter table including the electricity price of the cluster participating in the electricity market and the SOC of the battery energy storage unit, and sorting each battery energy storage unit, finally achieving a reasonable distribution of power to maximize benefits.

Claims

1. A method for energy management of a shared energy storage power station considering cluster division, comprising: Divide the shared energy storage power station into a number of clusters, each cluster containing a number of battery energy storage units; Generate a battery energy storage unit parameter table based on the shared energy storage power station parameters during period t and the market electricity price of the cluster; Obtain the power demand of the power grid for shared energy storage during the T period; The power of each battery energy storage unit in the power station is allocated within the T period: based on the battery energy storage unit parameter table, the shared energy storage power station is judged to be in a charging or discharging state according to the required power, and then a number of clusters are sorted according to the market electricity price to determine the charging and discharging priority of the cluster; based on the relationship between the required power and the rated power of the battery energy storage unit in the cluster, the battery energy storage units are sorted according to the charging and discharging priority of the cluster; the battery energy storage units that need to be charged or discharged are selected according to the sorting, and the power of each battery energy storage unit is allocated.

2. The energy management method of a shared energy storage power station considering cluster division according to claim 1, wherein: The shared energy storage power station is divided into several clusters, including: Based on their participation in different markets, shared energy storage power stations are divided into clusters participating in the spot market and clusters participating in the ancillary service market.

3. The energy management method of a shared energy storage power station considering cluster division according to claim 1, wherein: The shared energy storage power station parameters include status parameters of the battery energy storage units.

4. The energy management method of a shared energy storage power station considering cluster division according to claim 1, wherein: The battery energy storage unit parameter table includes: The state of charge SOC of each battery energy storage unit i in each cluster at time t i (t); The electricity prices in the spot market or ancillary services market that each cluster participates in; The power of the cluster in period t; The rated power of the cluster.

5. The energy management method of a shared energy storage power station considering cluster division according to claim 1, wherein: The step of determining the charging or discharging state of the shared energy storage power station according to the required power includes: When the required power P BESS When (t)>0, the shared energy storage power station needs to discharge; When the required power P BESS (t)<0, the shared energy storage power station needs to be charged; When the required power P BESS (t) = 0, the shared energy storage power station does not need to be charged or discharged.

6. The energy management method of a shared energy storage power station considering cluster division according to claim 1, wherein: The plurality of clusters are then sorted according to the market electricity price to determine the charging and discharging priorities of the clusters, including: The electricity prices of several clusters in the spot market or ancillary service market are sorted, and the charging and discharging priority of the cluster is determined according to the priority from large to small.

7. The energy management method of a shared energy storage power station considering cluster division according to claim 1, wherein: The step of sorting the battery energy storage units comprises: When discharging, the battery storage units in the cluster are sorted from largest to smallest according to their SOC; When charging, the battery storage units in the cluster are sorted from smallest to largest according to their SOC.

8. The energy management method for a shared energy storage power station considering cluster division according to any one of claims 1 to 7, wherein: The power distribution of each battery energy storage unit in the power station during the T period includes: When the power grid's demand for shared energy storage is P BESS When (t)>0, the shared energy storage power station needs to discharge, and the number of battery energy storage units that need to be discharged is N dis (t); The two clusters are sorted according to the electricity price during period t, which can be divided into two cases: 1) When the electricity price COST of the spot market or ancillary service market in which cluster a participates a (t) The electricity price COST of the spot market or ancillary service market in which cluster b participates b (t)Satisfy: COST a (t)>COST b (t), cluster a discharges first, which can be divided into two cases: When the rated power of cluster a is P Na Satisfaction: P Na ≥|P BESS (t)|, only cluster a discharges, the power of cluster a in time period t is P a (t)Satisfy: P a (t) = P BESS (t), and sort the battery energy storage units in cluster a from large to small according to their SOC; select the first N dis (t) battery energy storage units are discharged; the first N dis (t)-The power of each battery energy storage unit is P N , and the Nth dis The discharge power of (t) battery energy storage units is P last (t); When the rated power of cluster a is P Na Satisfaction: P Na <|P BESS (t)|, cluster a and cluster b discharge simultaneously; cluster a discharges first, cluster a discharges according to rated power, and cluster b discharges according to residual power, P a (t) = P Na , m battery energy storage units in cluster a are based on power P N Discharge; The battery energy storage units in cluster b are sorted from large to small according to their SOC; The first N in cluster b dis (t)-The power of m-1 battery energy storage units is P N , Nth dis (t)-The power of m battery storage units is P last (t); 2) When COST a (t) <COST b (t), cluster b discharges first, which can be divided into two cases: When the rated power of cluster b is P Nb Satisfaction: P Nb ≥|P BESS (t)|, only cluster b discharges, then the power of cluster b in period t is P b (t)Satisfy: P b (t) = P BESS (t), and sort the battery energy storage units in cluster b according to their SOC from large to small; select the first N dis (t) battery energy storage units are discharged; the first N dis (t)-The power of each battery energy storage unit is P N , Nth dis The discharge power of (t) battery energy storage units is P last (t); When the rated power of cluster b is P Nb Satisfy P Nb <|P BESS At (t)|, cluster b discharges at rated power first, and cluster a discharges at residual power: the n battery energy storage units in cluster b discharge at power P N Discharge; the battery energy storage units in cluster a are sorted from large to small according to their SOC, and the first N in cluster a dis (t)-n-1 The power of the battery energy storage unit is P N , Nth dis (t)-The power of n battery storage units is P last (t).

9. The energy management method for a shared energy storage power station considering cluster division according to any one of claims 1 to 8, wherein: The power distribution of each battery energy storage unit in the power station during the T period includes: When the power grid's demand for shared energy storage is P BESS (t)<0, the shared energy storage power station needs to be charged, and the number of battery energy storage units that need to be charged is N char (t); divided into two types according to cluster electricity price Situation: 1) When the electricity price COST of the spot market or ancillary service market in which cluster a participates a (t) The electricity price COST of the spot market or ancillary service market in which cluster b participates b (t)Satisfy: COST a (t) <COST b (t), cluster a is charged first, which can be divided into two cases: When the rated power of cluster a is P Na Satisfaction: P Na ≥|P BESS (t)|, only cluster a is charging; the power of cluster a in time period t is P a (t)Satisfy: P a (t) = P BESS (t), sort the SOC of the battery energy storage units in cluster a from small to large; select the first N char (t) battery energy storage units are charged; the first N char (t)-1 battery energy storage unit power is-P N , Nth char (t) The power of the battery energy storage unit is P last (t); When the rated power of cluster a is P Na Satisfaction: P Na <|P BESS At (t)|, all battery energy storage units in cluster a are powered at rated power P N Charging; Sort the SOC of the battery energy storage units in cluster b from small to large; The first N in cluster b char (t)-The power of m-1 battery energy storage units is -P N , Nth char (t)-The power of m battery storage units is P last (t); 2) When COST a (t)>COST b At (t), cluster b is charged first, which can be divided into two cases: When the rated power of cluster b is P Nb Satisfaction: P Nb ≥|P BESS (t)|, only cluster b is charged; sort the SOC of the battery energy storage units in cluster b from small to large; select the first N char (t) battery energy storage units are charged; the first N char (t)-1 battery energy storage unit power is-P N , Nth char (t) The power of the battery energy storage unit is P last (t); When the rated power of cluster b is P Nb Satisfy P Nb <|P BESS At (t)|, the n battery energy storage units in cluster b are powered at rated power -P N Charging; The SOC of the battery energy storage units in cluster a is sorted from small to large; The first N in cluster a char (t)-The power of n-1 battery energy storage units is -P N , Nth char (t)-The power of n battery storage units is P last (t).

10. The energy management method for a shared energy storage power station considering cluster division according to any one of claims 1 to 9, wherein: After allocating the power of each battery energy storage unit in the power station within the T period, the method further includes: If it is judged that t<T, the battery energy storage unit parameter table is generated according to the shared energy storage power station parameters in the t+1 period and the cluster participating in the market electricity price, and the power allocation is cyclically performed; until t≥T, the power allocation ends.

11. A shared energy storage power station energy management system considering cluster division, comprising: A cluster division module is used to divide the shared energy storage power station into several clusters according to demand, each cluster contains several battery energy storage units; A parameter table generation module is used to generate a battery energy storage unit parameter table according to the shared energy storage power station parameters during period t and the market electricity price of the cluster; The demand power acquisition module is used to obtain the power demand of the power grid for the shared energy storage during the T period; The power allocation module is used to allocate the power of each battery energy storage unit in the power station during the T period: based on the battery energy storage unit parameter table, the shared energy storage power station needs to be charged or discharged according to the required power, and then several clusters are sorted according to the market electricity price to determine the charging and discharging priority of the cluster; combined with the relationship between the required power and the rated power of the battery energy storage unit in the cluster, According to the charging and discharging priority of the cluster, the battery energy storage units are sorted; the battery energy storage units that need to be charged or discharged are selected according to the sorting, and the power of each battery energy storage unit is allocated.

12. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the energy management method for a shared energy storage power station taking into account cluster division as described in any one of claims 1 to 10 when executing the computer program.

13. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the energy management method for a shared energy storage power station taking into account cluster division as described in any one of claims 1 to 10.

Images