Optimal Positioning of Distributed Energy using Intelligent Hybrid Optimization

Abstract The renewable based energy source integration into the smart grid has seen a rapid surge lately and so role of distributed energy. By reducing power losses within distribution network, appropriate location size or generation sources could be found. In this paper, it been proposed that where generating units should placed. An intelligent optimization technique utilized to position different generators in best possible way. These advancements have both advantages disadvantages their own. research employs novel on hybrid genetic algorithm particle swarm techniques. Placing generations properly lowers improves profile voltage system.