Application of particle swarm optimization for combined environmental and economic dispatch of IEEE 30 bus system using fuzzy logic technique

Abstract

In this paper a method has been proposed to solve multi-objective optimization method using fuzzy decision satisfaction method while the objectives are minimized individually using Particle Swarm Optimization. The fossil fuel plants pollutes environment by emitting some toxic gases. But this load allocation may lead to increase in the operating cost of the generating units. So, it is necessary to find out a solution which gives a balanced result between emission and cost. Thus the objective of reactive power optimization problem can be seen as minimization of real power loss over the transmission lines. All these objectives are to be met for efficient operation and control. In this project an attempt has been made to optimize each objective individually using Particle Swarm Optimization. Hence an algorithm has been developed for optimization of each objective and is then tested on IEEE 30 system. Simulation results of IEEE 30 bus network are presented to show the effectiveness of the proposed method. The results clearly show that the proposed method gives global optimum solution compared to the other methods. © 2012 Springer-Verlag GmbH Berlin Heidelberg.