Application of PSO Algorithm in Economic and Emission Dispatch with Non-Smooth Cost Functions by Considering Transmission Losses and System Constraints

Precise and practical based economic dispatch is one of the most important problems in power systems. Thus, this paper proposes usage of particle swarm optimization (PSO) algorithm for solving economic dispatch problem. In this study real constraints of economic dispatch problem are considered. For this purpose, it has been considered that the fuel cost function is a non-smooth one. On the other hand, reduction of the pollutants that is emitted from fossil fuel power plants is one of the goals of the optimization problem, so that we fulfill economic and emission dispatch at the same time for solving practical and optimum economic dispatch problem with consideration of many constraints in the operating point and transmission losses, these constraints are included in the proposed method. Finally, simulation results of the proposed method for economic dispatch are compared with those of the other methods such as tabu search, genetic algorithm, and artificial neural network. The results clearly show that the proposed method gives global optimum and fast solution compared to the other methods.