Modified particle swarm optimization for economic-emission load dispatch of power system operation

Abdullah, Mohd Noor and Abu Bakar, Abd Halim and Abd Rahim, Nasrudin and Mokhlis, Hazlie (2015) Modified particle swarm optimization for economic-emission load dispatch of power system operation. Turkish Journal of Electrical Engineering & Computer Sciences, 23 . pp. 2304-2318. ISSN 1300-0632

[img]PDF
210Kb

Official URL: http://dx.doi.org/10.3906/elk-1307-204

Abstract

This paper proposes a modified particle swarm optimization considering time-varying acceleration coefficients for the economic-emission load dispatch (EELD) problem. The new adaptive parameter is introduced to update the particle movements through the modification of the velocity equation of the classical particle swarm optimization (PSO) algorithm. The idea is to enhance the performance and robustness of classical PSO. The price penalty factor method is used to transform the multiobjective EELD problem into a single-objective problem. Then the weighted sum method is applied for finding the Pareto front solution. The best compromise solution for this problem is determined based on the fuzzy ranking approach. The IEEE 30-bus system has been used to validate the effectiveness of the proposed algorithm. It was found that the proposed algorithm can provide better results in terms of best fuel cost, best emissions, convergence characteristics, and robustness compared to the reported results using other optimization algorithms.

Item Type:Article
Uncontrolled Keywords:economic-emission load dispatch; fuzzy satisfying method; particle swarm optimization; Pareto front solution; weighted sum method
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3001-3521 Distribution or transmission of electric power
Divisions:Faculty of Electrical and Electronic Engineering > Department of Electrical Power Engineering
ID Code:7689
Deposited By:Normajihan Abd. Rahman
Deposited On:29 Feb 2016 16:37
Last Modified:29 Feb 2016 16:37

Repository Staff Only: item control page