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

Chinnappa Naidu, Rani, Petkov, Emil, Busawon, Krishna and Farrag, Mohamed (2014) Particle swarm optimization with Exponentially Varying Inertia Weight Factor for solving Multi-Area Economic Dispatch problem. In: EFEA 2014: 3rd International Symposium on Environmental Friendly Energies and Applications, 19th - 21st November 2014, Paris, France.

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/EFEA.2014.7059938

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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Economic dispatch, Multi area economic dispatch, particle swarm optimisation, exponentially varying inertia weight factor
Subjects: H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Computer Science and Digital Technologies
Depositing User: Paul Burns
Date Deposited: 06 Jan 2016 14:41
Last Modified: 11 Mar 2016 11:46
URI: http://nrl.northumbria.ac.uk/id/eprint/25304

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