Economic Dispatch of Power System based on Improved Fruit Fly Optimization Algorithm

Abstract

For solving the multidimensional, nonlinear, non convex and multi constrained economic dispatch (ED) problem, an improved fruit fly optimization algorithm is proposed. Due to the shortcomings of the traditional fruit fly optimization algorithm, this paper modified the FOA in some extent. In order to take into account both global and local search capability, a new search radius determining mechanism is designed to improve the search ability of the algorithm. For making the candidate solution be produced uniformly in the solution space, a new mechanism for determining the individual location of the fruit fly and the determination of the taste concentration is established, which makes the generation mechanism of the candidate solution more reasonable. Using penalty function to deal with constraint conditions will involve a large number of penalty factors which are difficult to choose, therefore, this paper designs different heuristic processing strategies for different dynamic and static test systems to handle constraints. Simulation results show that the improved fruit fly optimization algorithm has more advantages than other algorithms in solving the ED problem.