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Keywords

electric vehicles; removable energy storage; parking generation rate; optimal scheduling of distribution network; improved particle swarm optimization algorithm

Abstract

The access of large-scale distributed resources makes the regulation and control of the distribution grid more difficult, and how to reasonably and effectively utilize diversified resources to reduce the operating cost of the distribution grid has become a key technical problem to be solved. Considering the complementary characteristics of removable energy storage systems and electric vehicles, a day-ahead optimal scheduling strategy for distribution grids with the support of temporal and spatial flexibility of multiple types of energy storage systems is proposed to improve the operating economy of the distribution grid system. Firstly, the scheduling models of electric vehicles and removable energy storage systems are established and the electric vehicle parking generation rate model is built, which simplifies the complexity of the model and improves the solution efficiency. Secondly, the ensemble-based improved particle swarm algorithm is introduced and adapted to be suitable for the optimal scheduling of distribution grids, which improves the solution efficiency of its optimization search in discrete space. Lastly, simulation analysis conducted on the IEEE 33-bus distribution system verifies the effectiveness of the proposed coordinated optimization scheduling strategy.

DOI

10.19781/j.issn.1673-9140.2024.03.012

First Page

104

Last Page

115

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