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

fYear

2012

fDate

9-13 July 2012

Firstpage

1

Lastpage

7

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering Society Conference and Exposition in Africa (PowerAfrica), 2012 IEEE

Conference_Location

Johannesburg

Print_ISBN

978-1-4673-2548-6

Type

conf

DOI

10.1109/PowerAfrica.2012.6498644

Filename

6498644