Optimal Location of Surge Arresters on an Overhead Distribution Network by Using Binary Particle Swarm Optimization

摘要

It is well-known that indirect strokes cause induced voltages, which can be reduced effectively by installing surge arresters. From the perspective of economics, it is too rough if a surge arrester is installed in each pole. How to design the number of surge arresters and their locations in an overhead distribution network according to some economic and technical criteria is a challenging issue in the field of smart grid. This paper formulates this issue firstly as a typical discrete optimization problem by maximizing an economic performance index. Then, an adaptive binary particle swarm optimization algorithm is utilized to search for an optimal location strategy of surge arresters. The superiority of the proposed method to binary genetic algorithm-based, binary differential evolution-based method is tested for a typical overhead distribution network in terms of the global best fitness, the optimized number of surge arresters, and the number of flashovers.