Chaotic Adaptive Particle Swarm Optimisation Using Logistics and Gauss Map for Solving Cubic Cost Economic Dispatch Problem

Rani Chinnappa Naidu, Emil Petkov, Krishna Busawon, Mohamed Farraq

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)

Abstract

This paper proposes Chaotic Adaptive Particle Swarm Optimisation (CAPSO)algorithm to solve Cubic Cost Economic Dispatch (CCED) problem. A Chaotic Local Search operator (CLS) is introduced in the proposed algorithm to avoid premature convergence. The basic strategy of the proposed algorithm is combining PSO with Adaptive Inertia Weight Factor (AIWF) and CLS, in which PSO with AIWF is applied to perform global exploration and CLS is used to perform exploitation to find the optimal solution. Logistics and Gauss map technique is used in performing CLS and the results are compared. The applicability and high feasibility of the proposed method is validated on a standard 5-generator test system. The simulation results confirm that this algorithm is capable of giving higher quality solutions with fast convergence characteristics.
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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