Particle swarm optimization with Exponentially Varying Inertia Weight Factor for solving Multi-Area Economic Dispatch problem

C Rani,M Farrag,K Busawon,E Petkov

doi:10.1109/efea.2014.7059938

Particle swarm optimization with Exponentially Varying Inertia Weight Factor for solving Multi-Area Economic Dispatch problem

C Rani, M Farrag + Show 2 more

https://doi.org/10.1109/efea.2014.7059938

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Publication Date: Nov 1, 2014

Citations: 3

Affiliation: Northumbria University, Glasgow Caledonian University

#Multi-Area Economic Dispatch #Solving Multi-Area Economic Dispatch Problem + Show 8 more

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Abstract

This paper aimed at exploring the performance of Particle Swarm Optimisation with Exponentially Varying Inertia Weight Factor (PSO-EVIWF) for solving Multi-Area Economic Dispatch (MAED) problem with tie line constraints considering valve-point loading in each area. The effectiveness of the proposed algorithm has been verified on 4 interconnected areas with 16 generators standard test system. The paper presents the search capability and convergence behavior of the proposed method. Simulation results show that the PSO-EVIWF achieved quality solutions and smooth convergence characteristics and it is an alternative method for solving MAED problem.

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