Solving OPF Problems using Biogeography Based and Grey Wolf Optimization Techniques

Kingsuk Majumdar, Puja Das, Provas Kumar Roy and Subrata Banerjee
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Kingsuk Majumdar: Dr. B. C. Roy Engineering College, Durgapur, India
Puja Das: Department of Electrical Engineering, Dr. B. C. Roy Engineering College, Durgapur, India
Provas Kumar Roy: Kalyani Government Engineering College, Kalyani, India
Subrata Banerjee: Department of Electrical Engineering, National Institute of Technology, Durgapur, India

International Journal of Energy Optimization and Engineering (IJEOE), 2017, vol. 6, issue 3, 55-77

Abstract: This paper presents biogeography-based optimization (BBO) and grey wolf Optimization(GWO) for solving the multi-constrained optimal power flow (OPF) problems in the power system. In this paper, the proposed algorithms have been tested in 9-bus system under various conditions along with IEEE 30 bus test system. A comparison of simulation results reveals optimization efficacy of the proposed scheme over evolutionary programming (EP), genetic algorithm (GA), mixed-integer particle swarm optimization (MIPSO) for the global optimization of multi-constraint OPF problems. It is observed that GWO is far better in comparison to other listed optimization techniques and can be used for aforesaid problems with high efficiency.

Date: 2017
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