OPTIMAL DG PLACEMENT USING FUZZY AND ANT LION ALGORITHM

Abstract

This article proposes a novel methodology for placing DG units in electrical distribution systems that incorporates Fuzzy and Ant Lion Algorithms (ALA) in order to minimize power losses and improve the voltage profile. Electrical energy is critical to daily existence. A keen interest in all available sources of energy has resulted in the promotion of generating electrical power using renewable energy sources such as solar, tidal waves, and wind. Due to the growing interest in renewable energy sources in recent years, research on distributed generating integration into the power grid has accelerated. Distributed generation (DG) sources are added to the network primarily to mitigate power losses by supplying a net quantity of energy. To minimize power system line losses, it is critical to establish the amount and placement of local generating. Numerous studies have been conducted to determine the optimal site for dispersed generating. The research employs a fuzzy technique to determine the ideal positions of DG units and a ant lion algorithm based on the intelligent behavior of ant lions to determine the optimal locations and sizes to reduce the losses and to improve the voltage. The proposed approach is written in MATLAB, and the results are provided for 15-bus and 33-bus test systems.