摘要
为了解决分布式电源广泛接入配电网后传统故障定位方法不再适用的问题,提出一种基于层级模型和改进灰狼优化算法的故障定位方法。构造能够适应多分布式电源接入的开关函数;根据故障电流信息的特点,建立配电网的层级模型,有效降低了问题的运算维度;结合故障定位模型,在灰狼优化算法的位置更新公式中引入交叉和变异操作,提高了算法的收敛速度和寻优精度;将建立的层级模型和改进后的灰狼优化算法应用于故障区段定位。MATLAB仿真结果表明,层级模型和改进的灰狼算法能够快速、准确地实现配电网故障区段定位。
In order to solve the problem that traditional fault location method is no longer applicable after distributed power is widely connected to distribution network,a fault location method based on hierarchical model and improved grey wolf optimizer is proposed.The switch function which can adapt to multi-distributed power access was constructed.Then,based on the characteristics of fault current information,the hierarchical model of distribution network was established,which effectively reduced the operational dimension of the problem.Combined with the fault location model,crossover and mutation operations were introduced into the position updating formula of grey wolf optimizer,which improved the convergence speed and optimization accuracy of the algorithm.Finally,the hierarchical model and the improved grey wolf algorithm were applied to fault segment location.The MATLAB simulation results show that the proposed hierarchical model and the improved grey wolf optimizer can quickly and accurately complete fault location in the distribution network.
作者
甄永琦
蒋伟
Zhen Yongqi;Jiang Wei(College of Electronics and Information Engineering,Shanghai University of Electric Power,Shanghai 200090,China)
出处
《计算机应用与软件》
北大核心
2020年第11期200-205,共6页
Computer Applications and Software
基金
国家自然科学基金项目(61202369,61401269,61572311)
上海市科技创新行动计划地方院校能力建设项目(17020500900)。
关键词
分布式电源
配电网
故障定位
层级模型
灰狼优化算法
Distributed power
Distribution network
Fault location
Hierarchical model
Grey wolf optimizer
