Implementation of Genetic Algorithm and fuzzy logic in economic dispatch problem

Economic dispatch is one of the most challenging problems of power system. Various algorithms for solving optimal power flow problem are found in the literature. The Genetic Algorithm (GA) based solution techniques are more promising than other techniques due to its capability of global searching, robustness, and it does not require derivative information. This paper presents a genetic-fuzzy based approach for solving economic dispatch problem. Algorithms for GA economic dispatch and GA-fuzzy economic dispatch are developed and compared. The results obtained show that GA-fuzzy based approach is faster than GA based approach and less noisy.