Title :
Application of the particle swarm optimization algorithm to a Combined Economic Emission Dispatch problem using a new penalty factor
Author :
Krishnamurthy, S. ; Tzoneva, R.
Author_Institution :
Cape Peninsula Univ. of Technol., Bellville, South Africa
Abstract :
The power system optimization is to schedule the generating units within the limits and simultaneously minimize the fuel cost and emission values subject to constraints. The paper proposes new penalty factor for Combined Economic Emission Dispatch (CEED) problem using particle swarm optimization algorithm. The IEEE 30 bus system with six generating units is tested in Matlab environment. The simulation results show that the CEED problem using Min-Max penalty factor provides less fuel cost value with comparison to Max-Max penalty factor.
Keywords :
minimax techniques; particle swarm optimisation; power generation dispatch; power generation economics; power generation scheduling; CEED problem; IEEE 30 bus system; Matlab environment; combined economic emission dispatch problem; emission values; fuel cost value; generating unit scheduling; max-max penalty factor; min-max penalty factor; particle swarm optimization algorithm; power system optimization; Economic Emission Dispatch; Energy Management System; Particle Swarm Optimization and Price Penalty Factor; Power System Optimization;
Conference_Titel :
Power Engineering Society Conference and Exposition in Africa (PowerAfrica), 2012 IEEE
Conference_Location :
Johannesburg
Print_ISBN :
978-1-4673-2548-6
DOI :
10.1109/PowerAfrica.2012.6498644
