Fuzzy Logic Controlled Based Ant-Lion Optimization Hybridization for Economic Power Dispatch

Abstract

The demand on the power system rising more rapidly is causing to increase the power system size and capacity. There is a need of interconnection of various generating stations to meet the increased load demand. Economical unit commitment is necessary for plant operation with the advancement in power system integration. The Economical Power Dispatch (EPD) is to find the most favourable combination of generating systems output powers which reduce the fuel cost by satisfying all system constraints. This research involves the fuzzy logic controller (FLC) has been hybridized with Ant-Lion Optimization (ALO) algorithm for EPD. By using this new hybrid technique, minimization of total operating cost by economically dispatch the power to meet the required load and also minimization of system total losses by optimum allocation of DG units were done. Fuel cost function and demand on system are modeled by fuzzy membership functions. The ALO is used to obtain the schedule the committed generating unit’s outputs so as to meet the required load demand. This proposed FLC based ALO technique executed with MATLAB software and applied on IEEE-30 system. Effectiveness of this projected algorithm is determined and evaluated with standalone techniques like conventional ALO, ALO-PSO algorithms.