Application of Particle Swarm Optimization Algorithm to the Distributed Multi-area Service Demands and Emission Controlled

Authors

  • Yee Ming Chen Professor

DOI:

https://doi.org/10.23055/ijietap.2010.17.4.132

Keywords:

Electricity supply industry, Particle Swarm Optimization, Emission Controlled

Abstract

Recently, energy saving/emission reduction has been a very import issue for electricity service operations management. The purpose of this study is to analyze impacts of distributed multi-area demand on the environmentally constrained economic dispatch. This paper proposed the particle swarm optimization (PSO) algorithm to minimize the total fuel cost of generation and environmental pollution caused by fossil based thermal generating units and also maintain an acceptable controlling emission for each area limit. In conclusion, we should note that it is important to be able to determine the different needs of transfer capacity among some countries/regions for cost-effective pollution reduction.

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Published

2010-09-09

How to Cite

Chen, Y. M. (2010). Application of Particle Swarm Optimization Algorithm to the Distributed Multi-area Service Demands and Emission Controlled. International Journal of Industrial Engineering: Theory, Applications and Practice, 17(4). https://doi.org/10.23055/ijietap.2010.17.4.132

Issue

Vol. 17 No. 4 (2010)

Section

Data Sciences and Computational Intelligence

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