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

Chinnappa Naidu, Rani, Petkov, Emil and Busawon, Krishna (2014) Multi area economic dispatch using chaotic self-adaptive particle swarm approach. In: 3rd International Symposium On Environment Friendly Energies And Applications (EFEA 2014), 19-21 Nov 2014, Paris.

Full text not available from this repository. (Request a copy)

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.

Item Type: Conference or Workshop Item (Paper)
Subjects: G700 Artificial Intelligence
H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Physics and Electrical Engineering
Related URLs:
Depositing User: Emil Turkedjiev
Date Deposited: 30 Jan 2015 08:51
Last Modified: 11 Mar 2016 11:47
URI: http://nrl.northumbria.ac.uk/id/eprint/21269

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics


Policies: NRL Policies | NRL University Deposit Policy | NRL Deposit Licence