CN-122026452-A - Distributed energy storage collaborative group adjustment group control method and system for time-of-use electricity price

CN122026452ACN 122026452 ACN122026452 ACN 122026452ACN-122026452-A

Abstract

The application provides a distributed energy storage collaborative group dispatching group control method and system for time-of-use electricity prices, which comprise the steps of clustering based on current attenuation degree indexes, SOC adjustment speed indexes, communication delay indexes and electrical distances between the distributed energy storage units and other nodes in a platform region to obtain a plurality of virtual energy storage clusters, calculating performance indexes of the virtual energy storage clusters based on performance parameters of the energy storage units in the virtual energy storage clusters respectively, inputting the performance indexes of the virtual energy storage clusters into an economic dispatching model to obtain dispatching instructions of the virtual energy storage clusters, decomposing the dispatching instructions of the virtual energy storage clusters into the energy storage units respectively and executing the dispatching instructions, wherein the economic dispatching model is constructed by taking the minimum total electricity purchasing cost of the platform region as a target.

Inventors

PAN BO
TIAN YUN
XIE SHIYIN
TANG XING
SHAO ZHONGHUA
XU MINGZE

Assignees

嘉兴国电通新能源科技有限公司
北京国电通网络技术有限公司
国网信息通信产业集团有限公司

Dates

Publication Date: 20260512
Application Date: 20251202

Claims (10)

1. A distributed energy storage cooperative group regulation group control method for time-of-use electricity prices is characterized by comprising the following steps: Clustering based on the current attenuation degree index, the SOC adjustment rate index, the communication delay index and the electrical distances between the distributed energy storage units and other nodes in the transformer area to obtain a plurality of virtual energy storage clusters; Calculating performance indexes of the virtual energy storage clusters based on performance parameters of energy storage units in the virtual energy storage clusters respectively; Inputting the performance index of each virtual energy storage cluster into an economical dispatching model to obtain dispatching instructions of each virtual energy storage cluster; decomposing and executing the scheduling instruction of each virtual energy storage cluster to each energy storage unit; the economic dispatch model is constructed by taking the total electricity purchasing cost of the minimum station area as a target.
2. The distributed energy storage collaborative group adjustment group control method for time-of-use electricity price according to claim 1, wherein the clustering is performed based on current attenuation degree index, SOC adjustment rate index, communication delay index and electrical distance from other nodes of each distributed energy storage unit in a platform region to obtain a plurality of virtual energy storage clusters, and the method comprises the following steps: weighting and fusing based on the current attenuation degree index, the SOC adjustment rate index and the communication delay index of each distributed energy storage unit in the platform region to obtain the comprehensive characteristic value of each energy storage unit; and clustering the comprehensive characteristic values of the energy storage units to obtain a plurality of virtual energy storage clusters.
3. The distributed energy storage collaborative group modulation group control method for time-of-use electricity price according to claim 2, wherein the calculation formula of the comprehensive characteristic value is as follows: In the formula, Representing the integrated characteristic value of the ith energy storage cell, An indicator of the degree of decay of the i-th energy storage unit, Representing the SOC regulation rate of the i-th energy storage unit, Indicating the communication delay of the ith energy storage unit, Represents the electrical distance from the ith energy storage unit to the jth energy storage unit, N is the total number of the energy storage units, As a weight of the measure of the degree of attenuation, For the weights of the SOC adjustment rate, As a weight for the communication delay, Is a weight of the electrical distance.
4. The method for distributed energy storage collaborative cluster modulation and group control for time-of-use electricity price according to claim 1, wherein the performance index of the virtual energy storage cluster comprises one or more of total available capacity, maximum charge/discharge power, equivalent SOC, communication reliability factor or cluster call priority weight; the total available capacity is calculated as follows: the maximum charge/discharge power is calculated as follows: the calculation formula of the equivalent SOC is as follows: the calculation formula of the communication reliability factor is as follows: In the formula, For the total available capacity of the kth virtual energy storage cluster, For the capacity of the i-th energy storage unit, Is an attenuation degree index of the ith energy storage unit, Indicating that the ith energy storage unit belongs to the kth virtual energy storage cluster, For the maximum charge/discharge power of the kth virtual energy storage cluster, Is the maximum charge/discharge power of the ith energy storage cell, The equivalent SOC of the kth virtual energy storage cluster, For the SOC of the i-th energy storage unit, For the communication reliability factor of the kth virtual energy storage cluster, The average delay of the kth virtual energy storage cluster is calculated, and alpha is a delay coefficient; the calculation formula of the cluster calling priority weight is as follows: In the formula, For the priority weight of the kth virtual energy storage cluster at time t, As a weight of the lifetime of the device, The attenuation degree index of the kth virtual energy storage cluster, For the charge-discharge weight, The equivalent maximum charge rate for the kth virtual energy storage cluster, Equivalent maximum discharge rate for the kth virtual energy storage cluster, As the electrical distance weight is given, Is the average electrical distance of the main load center of the kth virtual energy storage cluster.
5. The distributed energy storage collaborative group dispatching group control method for time-of-use electricity prices according to claim 1, wherein the construction process of the economic dispatch model comprises the following steps: Establishing an objective function with the minimum total electricity purchasing cost of the station area as a target; virtual energy storage power constraint, SOC dynamic constraint, power balance constraint, voltage safety constraint and calling priority constraint are taken as constraint conditions to form an economical dispatching model.
6. The distributed energy storage collaborative group modulation group control method for time-of-use electricity prices according to claim 5, wherein the objective function has a calculation formula as follows: in the formula, G represents an objective function, The time-sharing electricity price at the time T is represented, the time T is represented by the scheduling period duration, Representing the zone at time t and purchasing electricity from the power grid.
7. The utility model provides a distributed energy storage cooperation group modulation group control system towards timesharing price of electricity which characterized in that includes: The cluster dividing module is used for clustering based on the current attenuation degree index, the SOC adjustment rate index, the communication delay index and the electrical distances between the distributed energy storage units and other nodes in the transformer area to obtain a plurality of virtual energy storage clusters; The performance index module is used for calculating the performance index of each virtual energy storage cluster based on the performance parameters of the energy storage units in each virtual energy storage cluster; The instruction calculation module is used for inputting the performance index of each virtual energy storage cluster into the economic dispatch model to obtain the dispatch instruction of each virtual energy storage cluster; the instruction decomposition module is used for decomposing the scheduling instructions of each virtual energy storage cluster to each energy storage unit and executing the scheduling instructions; the economic dispatch model is constructed by taking the total electricity purchasing cost of the minimum station area as a target.
8. The distributed energy storage collaborative group control system for time-of-use electricity prices according to claim 7, wherein the group dividing module is specifically configured to: weighting and fusing based on the current attenuation degree index, the SOC adjustment rate index and the communication delay index of each distributed energy storage unit in the platform region to obtain the comprehensive characteristic value of each energy storage unit; and clustering the comprehensive characteristic values of the energy storage units to obtain a plurality of virtual energy storage clusters.
9. The distributed energy storage collaborative group control system for time-of-use electricity prices according to claim 8, wherein the calculation formula of the comprehensive eigenvalue in the group dividing module is as follows: In the formula, Representing the integrated characteristic value of the ith energy storage cell, An indicator of the degree of decay of the i-th energy storage unit, Representing the SOC regulation rate of the i-th energy storage unit, Indicating the communication delay of the ith energy storage unit, Represents the electrical distance from the ith energy storage unit to the jth energy storage unit, N is the total number of the energy storage units, As a weight of the measure of the degree of attenuation, For the weights of the SOC adjustment rate, As a weight for the communication delay, Is a weight of the electrical distance.
10. The distributed energy storage collaborative group control system facing to time-of-use electricity price as set forth in claim 7, wherein the performance index of the virtual energy storage cluster in the performance index module comprises one or more of total available capacity, maximum charge/discharge power, equivalent SOC, communication reliability factor or cluster call priority weight; the total available capacity is calculated as follows: the maximum charge/discharge power is calculated as follows: the calculation formula of the equivalent SOC is as follows: the calculation formula of the communication reliability factor is as follows: In the formula, For the total available capacity of the kth virtual energy storage cluster, For the capacity of the i-th energy storage unit, Is an attenuation degree index of the ith energy storage unit, Indicating that the ith energy storage unit belongs to the kth virtual energy storage cluster, For the maximum charge/discharge power of the kth virtual energy storage cluster, Is the maximum charge/discharge power of the ith energy storage cell, The equivalent SOC of the kth virtual energy storage cluster, For the SOC of the i-th energy storage unit, For the communication reliability factor of the kth virtual energy storage cluster, The average delay of the kth virtual energy storage cluster is calculated, and alpha is a delay coefficient; the calculation formula of the cluster calling priority weight is as follows: In the formula, For the priority weight of the kth virtual energy storage cluster at time t, As a weight of the lifetime of the device, The attenuation degree index of the kth virtual energy storage cluster, For the charge-discharge weight, The equivalent maximum charge rate for the kth virtual energy storage cluster, Equivalent maximum discharge rate for the kth virtual energy storage cluster, As the electrical distance weight is given, Is the average electrical distance of the main load center of the kth virtual energy storage cluster.

Description

Distributed energy storage collaborative group adjustment group control method and system for time-of-use electricity price Technical Field The invention relates to the field of electric power operation regulation and control, in particular to a distributed energy storage cooperative group regulation and group control method and system for time-of-use electricity price. Background Under the background of accelerating construction of a novel power system and deep promotion of power market innovation, the distributed energy storage not only bears the adjusting function of a technical layer, but also becomes an important carrier for participating in demand response and realizing electricity cost optimization at a user side. By implementing cooperative group regulation and group control on the energy storage resources dispersed in the area, the system can flexibly respond to the power grid dispatching instruction or the electricity price signal on the premise of ensuring the power supply reliability, realizes peak clipping and valley filling operation of off-peak charging and peak discharging, reduces the electricity expense of users, relieves the peak regulation pressure of the main network, and has remarkable economic and social benefits. However, the existing distributed energy storage group control strategy is generally focused on technical targets such as voltage support, line loss reduction or new energy consumption, and is less deeply coupled with a time-of-use electricity price mechanism. Even if part of the system introduces electricity price information, all energy storage is always regarded as uniform scheduling of homogeneous resources, and the economic value difference of different performance units in the period of high electricity price is ignored. For example, a highly attenuated battery discharge during peak hours may replace high electricity, but may accelerate life loss, and the actual net benefit may be negative. The control mode of lack of value evaluation and differentiated calling is difficult to realize maximization of economic benefits of a user side, and is not beneficial to guiding the user to enhance the stability of the power grid through peak clipping and valley filling. Disclosure of Invention In order to solve the problem that the economic value difference of different performance units in a high electricity price period is ignored in the prior art, the invention provides a distributed energy storage cooperative group adjustment group control method for time-of-use electricity price, which comprises the following steps: Clustering based on the current attenuation degree index, the SOC adjustment rate index, the communication delay index and the electrical distances between the distributed energy storage units and other nodes in the transformer area to obtain a plurality of virtual energy storage clusters; Calculating performance indexes of the virtual energy storage clusters based on performance parameters of energy storage units in the virtual energy storage clusters respectively; Inputting the performance index of each virtual energy storage cluster into an economical dispatching model to obtain dispatching instructions of each virtual energy storage cluster; decomposing and executing the scheduling instruction of each virtual energy storage cluster to each energy storage unit; the economic dispatch model is constructed by taking the total electricity purchasing cost of the minimum station area as a target. Preferably, the clustering is performed based on a current attenuation degree index, an SOC adjustment rate index, a communication delay index and an electrical distance between the current attenuation degree index, the SOC adjustment rate index and other nodes of each distributed energy storage unit in the platform region to obtain a plurality of virtual energy storage clusters, including: weighting and fusing based on the current attenuation degree index, the SOC adjustment rate index and the communication delay index of each distributed energy storage unit in the platform region to obtain the comprehensive characteristic value of each energy storage unit; and clustering the comprehensive characteristic values of the energy storage units to obtain a plurality of virtual energy storage clusters. Preferably, the calculation formula of the integrated characteristic value is as follows: In the formula, Representing the integrated characteristic value of the ith energy storage cell,An indicator of the degree of decay of the i-th energy storage unit,Representing the SOC regulation rate of the i-th energy storage unit,Indicating the communication delay of the ith energy storage unit,Represents the electrical distance from the ith energy storage unit to the jth energy storage unit, N is the total number of the energy storage units,As a weight of the measure of the degree of attenuation,For the weights of the SOC adjustment rate,As a weight for the communication delay,Is a weight o