Economic dispatch solutions with piecewise quadratic cost functions using improved genetic algorithm

摘要

This paper presents economic dispatch (ED) solutions with piecewise quadratic cost functions using improved genetic algorithm (GA). GA is a searching or optimizing algorithm based on natural evolution principle. GA has demonstrated considerable success in providing good solutions to many nonlinear optimization problems. This paper proposes two methods in order to improve effectiveness of GA. The first is multi-stage algorithm. The second is the directional crossover. Projection method is introduced to satisfy a linear equality constraint from power balance. In case studies, these algorithms are tested for 6-generator system considering line losses, and 10-generator system with piecewise quadratic cost functions. Results are compared with the solutions of conventional methods.