K-means clustering-based distributed energy storage economy regulation and control method in power market

Abstract

The invention discloses a K-means clustering-based distributed energy storage economy regulation and control method in a power market. The method comprises the following steps of 1, collecting power grid data, load data and distributed energy storage data; 2, establishing a distributed energy storage economic model, and analyzing the operation cost and the benefits of the distributed energy storage economic model; 3, inputting parameters of distributed energy storage, and determining an initial clustering center in a follow-up manner; 4, clustering and grouping the distributed energy storage by using a K-means clustering algorithm; 5, optimizing the charging and discharging power of the distributed energy storage by taking the improvement of the economy of the distributed energy storage and the maximum preservation of the adjustable potential of the distributed energy storage as an objective function, and taking each clustered group as a control unit; 6, issuing a charging and discharging instruction of the distributed energy storage. According to the method, the difference of life loss between distributed energy storage individuals in the operation process can be balanced. The total operation cost is reduced, and the overall regulation and control potential of the distributed energy storage in the operation process is improved.

Description

technical field [0001] The invention belongs to the technical field of energy storage and relates to distributed energy storage, in particular to a K-means clustering-based economic control method for distributed energy storage in an electric power market. Background technique [0002] Over the past few years, the grid has become more vulnerable with the steady increase in peak load demand and the large-scale use of intermittent renewable energy resources. Distributed energy storage can convert electrical energy into a more stable form, store it in the device, and release it when needed. This feature enables distributed energy storage to simultaneously assume the role of "source" and "load" in the power grid, which can effectively alleviate the problems caused by the access of distributed power sources and the rapid growth of loads to the power system. [0003] An important reason affecting the promotion of distributed energy storage is its high operating cost. The literat...

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Problems solved by technology

The paper [Ledwich G. Estimating benefits of energy storage for aggregate storage applications in electricity distribution networks in Queensland] published by the researchers at the conference Decision and Control proposed a new type of distributed algorithm for optimizing energy sharing networks including energy storage. By maximizing the cooperation between consumers and resource sharing, the dispatchable potential is improved. However, this algorithm simply regards the distributed energy storage as a whole, does not consider the internal optimization of distributed energy storage, and cannot make full use of it. The dispatchable potential of distributed energy storage

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