现代电子技术2025，Vol.48Issue(18)：99-106,8.DOI:10.16652/j.issn.1004-373x.2025.18.016
基于新能源短路比约束的最大准入容量优化
Maximum allowable capacity optimization based on renewable energy SCR constraint
摘要
Abstract
In the context of large-scale integration of renewable energy into power systems,a maximum allowable capacity optimization method based on the renewable energy short circuit ratio(SCR)constraint is proposed to ensure stable system operation while maximizing the benefits of renewable energy grid connection.The discussion and analysis of the SCR suitable for renewable energy grid-connected system are conducted.In allusion to the shortcomings of existing SCR,a multiple renewable energy stations short circuit ratio(MRSCR)considering reactive power compensation capacity is proposed.The encoding of variables in the particle swarm optimization(PSO)algorithm is improved to achieve flexibility in the number of renewable energy access points.The capacity optimization is carried out based on the renewable energy SCR constraint and by means of the improved PSO algorithm.The IEEE 39-bus system is used as a case study for the simulation.The research results indicate that MRSCR can effectively reflect the influence of reactive power compensation capacity on the SCR value.The improved PSO algorithm has better optimization performance.关键词
最大准入容量/新能源并网系统/短路比/容量优化/无功补偿容量/粒子群优化算法/IEEE 39节点系统Key words
maximum allowable capacity/renewable energy grid-connected system/short circuit ratio/capacity optimization/reactive power compensation capacity/particle swarm optimization algorithm/IEEE 39-bus system分类
信息技术与安全科学引用本文复制引用
宋籽昂,王嘉梅,唐嘉宁,程三榜,李华鑫..基于新能源短路比约束的最大准入容量优化[J].现代电子技术,2025,48(18):99-106,8.基金项目
国家自然科学基金项目(61963038) （61963038）
