Title: Hybridisation of backtracking search optimisation algorithm with differential evolution algorithm for solving reactive power problem

Authors: K. Lenin; B. Ravindhranathreddy; M. Suryakalavathi

Addresses: Jawaharlal Nehru Technological University, Kukatpally, Hyderabad 500 085, India ' Jawaharlal Nehru Technological University, Kukatpally, Hyderabad 500 085, India ' Jawaharlal Nehru Technological University, Kukatpally, Hyderabad 500 085, India

Abstract: Backtracking search optimisation (BSA) algorithm is a new-fangled methodology which takes into account the previous experiences to guide the process to reach the global optimum. But BSA converges slowly and exploitation character is also below par the level. In order to improve the performance of the BSA algorithm, hybridisation has been done with differential evolution (DE) algorithm in iteration level. DE algorithm has fast convergence speed and good in exploit the solution. In this paper, we propose a new methodology-hybridisation of backtracking search optimisation algorithm with differential evolution, called as HBSDE for solving reactive power problem. In HBSDE, at each iteration process, DE-exploitive strategy is used to accelerate the speed of convergence. The proposed HBSDE has been tested in standard IEEE 30 bus test system and simulation results show clearly about the better performance of the proposed algorithm in reducing the real power loss with control variables within the limits.

Keywords: backtracking search optimisation; BSA; differential evolution; optimal reactive power; transmission loss; IEEE 30 bus test system; simulation.

DOI: 10.1504/IJAIP.2016.077518

International Journal of Advanced Intelligence Paradigms, 2016 Vol.8 No.3, pp.355 - 364

Received: 30 Sep 2015
Accepted: 11 Nov 2015
Published online: 04 Jul 2016 *

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