电池2025，Vol.55Issue(6)：1299-1306,8.DOI:10.19535/j.1001-1579.2025.06.012
基于多场景典型日的配电网光储选址定容
Location and capacity determination for photovoltaic storage in distribution networks based on multi scenario typical days
摘要
Abstract
In response to the problem of optimal configuration of distributed energy in distribution networks,a distribution network photovoltaic-energy storage siting and sizing planning method based on multi-scenario typical days is presented.Firstly,the Fréchet distance and Euclidean distance are integrated into the K-means++algorithm to construct a composite distance measure,thereby establishing a typical day selection model.A comprehensive evaluation index system for typical day selection is constructed by taking into account three aspects:typicality,effectiveness and extreme typical scenarios.Secondly,considering the characteristics of the distribution network,a two-layer collaborative planning model is established from the perspectives of economy and reliability to decouple problems at different time scales.An improved particle swarm optimization algorithm that combines multi-population search and interactive learning mechanisms is adopted to solve the model.Through the simulation of the institute of electrical and electronics engineers(IEEE)-33 node system,the results demonstrate that the typical day clustering results obtained by the proposed clustering algorithm based on the composite distance are more representative and diverse.While reducing engineering computation,the accuracy and practicality of the planning scheme are enhanced.关键词
典型日/分布式电源/双层配置优化/多种群粒子群Key words
typical day/distributed power generation/double layer configuration optimization/multi group particle swarm分类
信息技术与安全科学引用本文复制引用
王振中,汤赐,周诗卉..基于多场景典型日的配电网光储选址定容[J].电池,2025,55(6):1299-1306,8.基金项目
国家自然科学基金项目(51307009),湖南省自然科学基金项目(2024JJ9182) （51307009）
