Optimal location of facts devices for solving multi-objective optimal power flow (OPF) using improved shuffled leaping frog algorithm

摘要

Renewable energy is the demand of the future and wind energy plays a very pivotal role in it but the main disadvantage with wind energy is that its efficiency is very low and the main reason for this is the demand for reactive power. If the power network is not able to satisfy the wind farm reactive power requirement, the overall energy losses in the distribution networks would be increased.Hence minimization of losses is proposed by using reactive power compensation withflexible alternating current transmission system(FACTS) devices used for compensation. This paper proposes an algorithm based on the shuffle frog leaping algorithm (SLFA) to solve the multi-objective OPF problem. Furthermore, this paper presents an improved shuffle frog leaping algorithm (ISLFA) which profits from a mutation in order to reduce the processing time and improve the quality of solutions, particularly to avoid being trapped in local optima. The IEEE 30-bus test system is presented to illustrate the application of the proposed problem.