Title: Oppositional biogeography-based optimisation for optimal power flow

Authors: Provas Kumar Roy; Dharmadas Mandal

Addresses: Department of Electrical Engineering, Dr. B.C. Roy Engineering College, Durgapur, Fuljhore, Jemua Road, Durgapur-713206, West Bengal, India ' Department of Electrical Engineering, Birbhum Institute of Engineering and Technology, Suri Birbhum-731101, West Bengal, India

Abstract: This paper describes optimal power flow based on oppositional biogeography-based optimisation (OBBO) in which fuel cost, voltage deviation and power transmission loss functions are individually used as the problem objectives. The feasibility of the proposed method is exhibited for standard IEEE 30-bus and IEEE 118-bus systems and the results obtained by using the proposed approach are compared with other optimisation methods. The proposed OBBO provides results better than other heuristic techniques. The results also show that OBBO has the effectiveness and potential to solve both small and large scale OPF problems.

Keywords: opposition-based learning; OBL; genetic algorithms; particle swarm optimisation; PSO; optimal power flow; biogeography based optimisation; BBO; evolutionary algorithms; fuel cost; voltage deviation; power transmission loss; IEEE 30-bus; IEEE 118-bus.

DOI: 10.1504/IJPEC.2014.059983

International Journal of Power and Energy Conversion, 2014 Vol.5 No.1, pp.47 - 69

Accepted: 06 Aug 2012
Published online: 13 May 2014 *

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