Optimal DG Siting and Sizing in Distribution System using PSO-DE Approach

In this paper a population based approach for optimal sizing and sizing of distributed generation (DG) is implemented. The proposed approach is based on Particle Swarm Optimization algorithm (PSO) and Differential Evolution (DE) in combination. As distribution system operates at LV so losses are more. To overcome this problem, DG placement is carried out. DG site and size is important for better performance of the system. Keeping this in view, the problem of DG sizing and siting is solved in a such a manner that cost of power losses is minimized while constraints of voltage is within the limits. The proposed PSO-DV approach has advantage of sufficient randomness and gives near optimal solution with less computation burden. The proposed approach is tested on 33-node test system. The results obtained using proposed approach is compared with heuristic based approach. On comparison it is found that the results obtained using suggested approach is better than existing method.