Solution of Optimal Power Flow with voltage stability enhancement using Grey Wolf Optimization

摘要

For the operation and planning of the power system optimal power flow is main tool. Optimal power flow is highly constrained and non-linear problem of the power system. So for the solution of OPF problem different techniques are reported in literature review. In this proposed paper we introduced a new nature inspired meta-heuristics Grey Wolf Optimization algorithm for the solution of OPF problem. Grey Wolf Optimizer was inspired by the hunting behavior of the grey wolves. In this proposed paper we are consider IEEE-30 bus test system for determining the effectiveness of proposed algorithm and we are considering total five different cases or five objectives. Then we compared proposed algorithm with some well-known algorithm which was reported in literature. From this analysis we realized that proposed GWO algorithm gave the best solution for all over the five cases with compared to some well-known evolutionary algorithm.