A Directional Search Genetic Algorithm to the Economic Dispatch Problem with Prohibited Operating Zones

Abstract

This paper outlines a directional search genetic algorithm (DSGA) for solving the Economic dispatch (ED) problem with prohibited operating zones. Some of the nonlinear characteristics of the generator, such as prohibited operating zones are considered using the proposed method in practical generator operation. In this paper, two executions of directional search genetic algorithm are used. In the first execution, it determines the dispatch of generators without considering Prohibited-operating zones. If there is no violation, the optimal dispatch is obtained. If there is a violation in units, set their limits, and then it uses an efficient approach to determine the most advantageous space using the average power of prohibited operating region. In the second execution, it obtains the optimal dispatch for the remaining units. The proposed method is very efficient for both small and large size of generating units with prohibited operating zones and it remarkably reduces the computation time.