Solving non-smooth economic load dispatch problem via flower pollination algorithm

Abstract

This paper discusses the generator optimization method for non-smooth economic dispatch (ED) in power systems using the Flower Pollination Algorithm (FPA). The generating value of each unit is determined without compromising the power limits of each generator and the amount of energy demand. The objective of this study is to provide the minimumgenerating costs based on the seamless cost function of the ED. The feasibility of the FPA method is compared with particle swarm optimization (PSO) and moth flame optimizer (MFO). Two types of power system networks, 10- and 40-generators, are tested using MATLAB. Simulation results show that compared with PSO and MFO,FPA provides better results in optimizing energy generation with minimum generation cost and power loss.