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Economic load dispatch with nonsmooth cost functions using evolutionary particle swarm optimization
Author(s) -
Abdullah Mohd Noor,
Abu Bakar Ab Halim,
Rahim Nasrudin Abd,
Moklis Hazlie
Publication year - 2013
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.21915
Subject(s) - particle swarm optimization , mathematical optimization , sorting , economic dispatch , evolutionary algorithm , computer science , selection (genetic algorithm) , evolutionary programming , mathematics , electric power system , artificial intelligence , algorithm , power (physics) , physics , quantum mechanics
This paper presents an evolutionary particle swarm optimization (EPSO) method for solving the nonconvex economic load dispatch (ELD) problem. In practice, the nonconvex and the discontinuous cost function should be considered when optimizing ELD problem with constraints such as valve point effects, prohibited operating zones, ramp‐rate limits, and transmission loss of the system. In view of these constraints, the ELD problem is difficult to solve by any mathematical method. In EPSO, the evolutionary programming concept (combination, tournament competition, sorting, and selection) is employed in the classical PSO method in order to find the best individual and best group position based on the survival particle. The effectiveness of the EPSO is tested on 3‐, 6‐, 15‐, and 38‐unit systems. The results obtained by EPSO are also compared with classical PSO and other results reported in the literature. It is concluded that the EPSO method can produce lower generation cost compared to the existing methods. © 2013 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.