K-Means Algorithm and Fuzzy Genetic Algorithm Based Methodology for Distribution System Planning With Distributed Generations and Shunt Capacitors

This paper proposes an approach for distribution system planning with distributed generations (DGs) and shunt capacitors (SCs) based on K-means clustering algorithm and Fuzzy Genetic algorithm. The K-means algorithm is used to identify the load clusters for various seasons. The fuzzy based multiobjective function is formulated for the reduction of real power losses in the feeders and node voltage improvement. The optimum sizing of DGs and SCs is obtained for each load cluster considering the maximum demand of that particular cluster using Fuzzy GA multiobjective approach. Simulation analysis is done to prove the efficiency of the proposed methodology considering a 69 bus radial distribution system.