Title: Optimal power flow using biogeography based optimisation

Authors: Provas Kumar Roy, Sakti Prasad Ghoshal, Siddhartha Sankar Thakur

Addresses: Department of Electrical Engineering, National Institute of Technology, Durgapur, MG Road, Gandhi More, Durgapur-713209, West Bengal, India. ' Department of Electrical Engineering, National Institute of Technology, Durgapur, MG Road, Gandhi More, Durgapur-713209, West Bengal, India. ' Department of Electrical Engineering, National Institute of Technology, Durgapur, MG Road, Gandhi More, Durgapur-713209, West Bengal, India

Abstract: This paper presents a novel biogeography based optimisation (BBO) algorithm for solving constrained optimal power flow (OPF) problems in power system. In this paper, the feasibility of the proposed algorithm is demonstrated for IEEE 30-bus and IEEE 118-bus systems with three different objective functions and it is compared to other population based optimisation techniques. A comparison of simulation results reveals better solution quality and computation efficiency of the proposed algorithm over hybrid particle swarm optimisation with constriction factor approach (PSOCFA), hybrid particle swarm optimisation with inertia weight approach (PSOIWA), real coded genetic algorithm (RGA) and differential evolution (DE) for the global optimisation of constrained OPF problems.

Keywords: optimal power flow; OPF; biogeography based optimisation; BBO; particle swarm optimisation; PSO; genetic algorithms; GAs; evolutionary programming; constriction factors; inertia weight; mutation; migration; simulation; differential evolution.

DOI: 10.1504/IJPEC.2010.037630

International Journal of Power and Energy Conversion, 2010 Vol.2 No.3, pp.216 - 249

Published online: 20 Dec 2010 *

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