Optimal allocation of distributed generations using hybrid technique with fuzzy logic controller radial distribution system

Abstract

In this concept, an enhanced idea is proposed for solving the optimal load flow issues with uncertainties. In this article the Fuzzy Logic Controller (FLC) technique and Ant-Lion Optimization Algorithm’s (ALOA) with Particle Swarm Optimization (PSO) based combination is proposed. The ALO imitates the hunting mechanism of ant lions in nature and the PSO improves the ALO performance by updating elitism phase of ALO. The FLC is trained based on training dataset and testing time which produces the optimal allocation parameters are based on the variation of radial distribution network parameters. In this projected hybrid algorithm, Photo-Voltaic and Wind Turbine generations (PV and WT) are considering as Distributed Generators (DGs). Initially, after defining the multi objective function, then about voltage deviation, minimization of power loss and improvement of voltage stability index is discussed. The minimization of cost of operation and deviation of voltage indexes are considered as multi objective functions and the projected technique is evaluate on IEEE 33 standard radial distribution systems. With new hybrid technique, allocation of multi-DGs like wind and PV at different sites, and the optimal load flow at various cases is analyzed.