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

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