Hybridization of Self Adaptive Differential Evolution Algorithm with Biogeography-Based Algorithm for Solving Reactive Power Problem

Abstract

In this paper, Self-adaptive Differential Evolution Algorithm (SaDE) Hybridized with Biogeography-Based Algorithm (BBO) to solve reactive power problem. In this proposed algorithm Iteration-level hybridization is done, in which Self-adaptive Differential Evolution Algorithm and Biogeography-Based Algorithm (DEBA) is executed in sequence. Self-adaptive Differential Evolution Algorithm acts independently and then exchanges information from Biogeography-Based algorithm. The proposed DEBA has been tested in IEEE 30,118 bus test systems and simulation results show clearly the better performance of the proposed algorithm in reducing the real power loss.

Keywords: Evolutionary computation, Self-Adaptive Differential Evolution Algorithm, Biogeography-Based optimization, optimal reactive power, Transmission loss.