电力需求侧管理2025，Vol.27Issue(2)：75-81,7.DOI:10.3969/j.issn.1009-1831.2025.02.012
基于长鼻浣熊算法的分布式光伏选址定容多目标规划
Distributed photovoltaic location and capacity planning based on multi-target coati algorithm
摘要
Abstract
Under the background of the transformation of distribution network to low-carbon,the high proportion of green energy and elec-tric vehicles powered by electric energy are developing continuously,and the operation and planning of distribution network are facing new challenges and opportunities.Based on this,an optimal planning model of distribution network including electric vehicle charging load and distributed photovoltaic is proposed.First,the electric vehicle charging load and distributed photovoltaic timing characteristics are modeled.Second,considering the economy,low carbon and stability of the distribution network,a multi-objective planning model is con-structed with the annual comprehensive benefit,carbon emission and load variance of the distribution company as the objective function,and the multi-objective coati algorithm is used to solve the above model,and the global Pareto optimal solution set is retained based on the Pareto dominant principle.The equilibrium decision function is introduced to evaluate the distribution equilibrium of the optimal solution.Finally,the feasibility of the proposed model and method is verified by an example analysis on IEEE-33 node power distribution system.关键词
分布式光伏/多目标长鼻浣熊算法/帕累托/电动汽车/配电网规划Key words
distributed photovoltaic/multi-target coati algorithm/pareto/electric vehicle/distribution network planning分类
信息技术与安全科学引用本文复制引用
慕佳敏,韩兴臣,张智晟..基于长鼻浣熊算法的分布式光伏选址定容多目标规划[J].电力需求侧管理,2025,27(2):75-81,7.基金项目
国网山东省电力公司科技项目(520602220004) （520602220004）
