摘要
粒子群算法是一种群体智能优化算法,具有简单易行、容易实现、收敛性好等优点。通过建立适当的优化模型,提出了基于二进制粒子群算法的辐射状配电网故障定位算法,并通过算例验证了该算法的可行性和有效性。结果表明该算法收敛速度快,能够对辐射状配电网中单点和多点故障进行准确定位,并在部分故障信息畸变的情况下,能得出正确结果,容错性能好。
PSO is an optimized algorithm with collective intelligence, which has advantages of simpleness, easy realization and good astringency. By building an appropriate optimized model, this paper puts forward method of fault sections location in radialized distribution networks based on binary particle swarm optimization algorithm, numerical examples demonstrate the feasibility and effectiveness of the proposed method. The results indicate the algorithm has fast convergent velocity and accurate fault location abilities in single fault or multiple faults situations. In addition, it also has good fault-tolerance when some fault information is aberrated.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2009年第7期35-39,共5页
Power System Protection and Control
基金
国家自然科学基金(No.50407009)
四川省杰出青年基金项目(No.06ZQ026-012)
教育部优秀新世纪人才支持计划项目(NCET-06-0799)
关键词
配电网
故障定位
优化模型
粒子群算法
容错性能
distribution network
fault location
optimized model
particle swarm optimization algorithm
fault-tolerance
