南方电网技术2026，Vol.20Issue(7)：90-100,11.DOI:10.13648/j.cnki.issn1674-0629.2026.07.009
基于小世界理论及改进蜣螂算法的分布式电源规划方法
Distributed Power Generation Planning Method Based on Small World Theory and Improved Dung Beetle Algorithm
摘要
Abstract
Aiming at the problem of high-dimensional solving and coexisting discrete and continuous variables in the site selection and capacity planning of distributed power generation,a method is proposed to first determine candidate locations and then a heuristic algorithm is used to optimize the capacity and location.Firstly,the nodes are screened according to the three indicators:active loss improvement rate,betweenness centrality and closeness centrality,and adjacent nodes are merged according to the node power load conditions to form a set of candidate nodes.Subsequently,an optimization model with the goal of minimizing total active loss,maximizing voltage stability,and minimizing total capacity of distributed power generation is constructed.In order to effectively solve the model,dung beetle algorithm is improved based on chaotic mapping,adaptive weights and Levy flight strategy to optimize the locations and capacities of distributed generation in the candidate nodes.Finally,simulation verifications on IEEE-33 and IEEE-69 node systems show that the proposed method performs well in reducing total active power loss and node voltage deviation.关键词
分布式电源/选址定容/改进蜣螂算法/多目标优化Key words
distributed power generation/site selection and capacity planning/improved dung beetle algorithm/multi-objective optimization分类
信息技术与安全科学引用本文复制引用
张雨,王德辉,蔡文洋,邹时容,王嘉延,谭海东..基于小世界理论及改进蜣螂算法的分布式电源规划方法[J].南方电网技术,2026,20(7):90-100,11.基金项目
国家自然科学基金资助项目(62473133) （62473133）
中国南方电网有限责任公司科技项目(GZKJXM20222387). Supported by the National Natural Science Foundation of China(62473133) （GZKJXM20222387）
the Science and Technology Project of China Southern Power Grid Co.,Ltd.(GZKJXM20222387). （GZKJXM20222387）
