Optimal Generation of Active Power for Coal Fired Power Plant using Accelerated PSO

Abstract: In this article we refer to the application of evolutionary algorithm (EA) to solve the problem of optimum power flow in an efficient way. In this article we propose a new approach that uses the Particle Swarm Optimization search method (PSO) and Accelerated Particle Swarm Optimization (APSO) to solve the problem through the optimal configuration of the control variables. This technique is a population based stochastic optimization technique inspired by social behavior of bird flocking or fish schooling, capable to solve large-scale non convex optimization problems like OPF. Objective function such as minimization of fuel cost is considered for optimum distribution of active power, respectively. The proposed method is implemented and evaluated in the IEEE 30-bus 6 generators system. The results of the proposed simulation approach are compared with those reported in the literature. The results demonstrate the potential of the proposed approach, and demonstrate its effectiveness and robustness to solve the OPF problem.

Keywords: Optimal power dispatch, Particle swarm optimization and Accelerated PSO.