Multi area economic dispatch using chaotic self-adaptive particle swarm approach

Rani Chinnappa Naidu, Emil Petkov, Krishna Busawon

Research output: Contribution to conferencePaperpeer-review

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 area with 16 generators standard test system. The paper presents the search capability and convergence behaviour 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.
Original languageEnglish
Publication statusPublished - 20 Nov 2014
Event3rd International Symposium On Environment Friendly Energies And Applications (EFEA 2014) - Paris
Duration: 20 Nov 2014 → …
http://soe.northumbria.ac.uk/efea2014/

Conference

Conference3rd International Symposium On Environment Friendly Energies And Applications (EFEA 2014)
Period20/11/14 → …
Internet address

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