Optimal Allocation of Multiple Photo-Voltaic and/or Wind-Turbine Based Distributed Generations in Radial Distribution System Using Hybrid Technique with Fuzzy Logic Controller

Abstract

In this concept, an enhanced idea is proposed for solving the optimal load flow issues with uncertainties. The proposed hybrid algorithm is the combination of the fuzzy logic controller (FLC) technique and Ant-Lion Optimization Algorithm’s (ALOA). The ALO imitates the hunting mechanism of ant lions in nature. The FLC is trained based on training dataset and testing time. Based on the variation of radial distribution network parameters, the proposed hybrid technique provides the optimal allocation parameters. In this research, photo-voltaic units and wind turbine generations (PV and WT) are considering as distributed generators (DGs). Initially, the multi objective function was defined. That includes voltage deviation, minimization of power loss, and minimization of total operating cost (TOC) and improvement of voltage stability index (VSI). The effectiveness of this proposed hybrid technique was demonstrated on IEEE-33 standard radial distribution systems. With the new hybrid technique, allocation of multi-DGs at different sites, and the optimal load flow in various cases were analyzed.