FPA APPLIED TO THE RESOLUTION OF THE ECONOMIC DISPATCH PROBLEM WITH OPERATIONAL LIMITS OF MAXIMUM AND MINIMUM POWER OF THE GENERATING UNITS

Abstract

This paper presents the application of a Computational Intelligence (CI) technique based on Flower Pollination Algorithm (FPA) to solve an Economic Dispatch (ED) problem. Aiming to minimize the total generation costs and considering operational constraints of each generating unit and the power balance. The algorithm was tested using the case study with fifteen generating units available in the current literature. Finally, the data obtained were compared to others already published, in which the authors applied Directional Search Genetic Algorithm (DSGA) to solve the pointed problem. The good results achieved demonstrate the applicability of the proposed technique.