摘要
为适应含分布式电源(DG)智能配网的建设和发展对其故障区段定位高效性和准确性的要求,构建了可自适应多DG投切的开关函数模型,并结合网络分区处理解决方案,提出一种基于改进二进制量子粒子群算法(IBQPSO)的含DG配电网故障区段定位方法,有效克服了二进制粒子群算法(BPSO)固有的全局和局部搜索能力不平衡问题。通过含DG的IEEE33节点系统仿真分析,验证了该方法的容错性、快速性和准确性。
To meet the requirements of the efficiency and accuracy for fault section location introduced by the construction and development of smart distribution network containing DG,a switch function model with adaptive multi-DG switching is constructed.Combined with the solution of network partition processing a fault section location for distribution network containing DG based on improved binary quantum particle swarm optimization (IBQPSO),which can effectively overcome the problem of global and local search capability imbalance in binary particle swarm optimization (BPSO) is proposed.The fault tolerance,rapidity and accuracy of this method are verified by simulation analysis of IEEE33 node system containing DG.
作者
赵敏
田书
ZHAO Min;TIAN Shu(Department of Electronic Engineering,Hebi Automotive Engineering Professional College,Hebi 458030,China;School of Electrical Engineering and Automation,Henan Polytechnic University,Jiaozuo 454000,China)
出处
《电工电气》
2020年第5期12-16,23,共6页
Electrotechnics Electric
基金
国家自然科学基金项目(61403127)
河南省高等学校重点科研项目(19B470005)。
关键词
含DG配电网
故障区段定位
开关函数
分区处理
改进二进制量子粒子群算法(IBQPSO)
distribution network containing DG
fault section location
switching function
regional processing
improved binary quantum particle swarm optimization(IBQPSO)
