基于蝙蝠算法的配电网故障区间定位  

Fault sections location of distribution network based on bat algorithm

作　　者：付家才[1] 陆青松[1] 

机构地区：[1]黑龙江科技大学研究生学院,黑龙江哈尔滨150022

出　　处：《电力系统保护与控制》2015年第16期100-105,共6页Power System Protection and Control

摘　　要：蝙蝠算法是受自然界中的微蝙蝠回声定位行为启发而演变出的一种新颖的智能优化算法。在分析基本算法的仿生原理和配电网结构特点的基础上,提出将蝙蝠算法应用到解决配电网故障定位的问题上。利用元胞自动机原理,按照定义的邻居规则在元胞周围产生可能的解,进一步提高该算法的局部寻优能力。通过建立合适的仿真模型,模拟简单配电网和复杂配电网发生单点和多点故障,从上传的故障信息无畸变和畸变两方面分别验证该算法进行定位的可行性。最后将蝙蝠算法与其他算法比较,表明其具有较好的收敛性。Inspired by the behavior of microbats＇ echolocation in nature, bat algorithm is a novel optimization algorithm. Based on the analysis of bionic principles of the algorithm and the structure of the distribution networks, it is proposed that the algorithm is applied to solve the fault location problem. In order to improve the global searching ability of the algorithm, the cellular automata theory is used. A fault section location model of distribution network is built to simulate distribution networks with single fault or multiple faults. Then the feasibility of the algorithm is verified with and without distortion of the uploaded fault information respectively. Finally compared the bat algorithm with other algorithms, it indicates that the bat algorithm has better convergence.

关 键 词：配电网 故障定位 蝙蝠算法 元胞自动机 馈线终端装置 

分 类 号：TM727[电气工程—电力系统及自动化]