A Comparative Study of Metaheuristic Methods for Transmission Network Expansion Planning

Ashu R. Verma, P. K. Bijwe and B. Panigrahi
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Ashu R. Verma: TERI University, India
P. K. Bijwe: IIT, India
B. Panigrahi: IIT, India

International Journal of Applied Evolutionary Computation (IJAEC), 2010, vol. 1, issue 4, 71-91

Abstract: Transmission network expansion planning is a very complex and computationally demanding problem due to the discrete nature of the optimization variables. This complexity has increased even more in a restructured deregulated environment. In this regard, there is a need for development of more rigorous optimization techniques. This paper presents a comparative analysis of three metaheuristic algorithms known as Bacteria foraging (BF), Genetic algorithm (GA), and Particle swarm optimization (PSO) for transmission network expansion planning with and without security constraints. The DC power flow based model is used for analysis and results for IEEE 24 bus system are obtained with the above three metaheuristic drawing a comparison of their performance characteristic.

Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jaec00:v:1:y:2010:i:4:p:71-91

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