Economic Load Dispatch using PSO Algorithm Based on Adaptive Learning Strategy Considering Valve point Effect

Abstract: In recent years due to problems such as population growth and as a result increase in demand for electrical energy, power systems have been faced with new challenges that not existed in the past. One of the most important issues in modern power systems is economic load dispatch, which is a complex optimization problem with a large number of variables and constraints. Due to the complexity and the non-linearity nature of economic load dispatch, a powerful algorithm is needed to find the optimal solution in terms of available constraints and the existence of local minimum points. In economic load dispatch, variables are generators' power output that must be within the minimum/maximum range so that objective function is minimized. The main purpose of this problem is to plan electrical energy units in such a way as to meet the required network requirements (loads) and minimize the economic costs of these units. Considering the importance of problem, in this study a new method based on the Particle Swarm Optimization (PSO) algorithm with adaptive learning strategy is suggested with taking into account valve point effects of generators. To evaluate the performance of proposed method, two IEEE test systems have been used and the results have shown that the proposed method has a very good performance.