Published Paper Details:

In this paper, genetic algorithm (GA) and particle swarm optimization (PSO) techniques are used, to analyze the optimal DG placement for minimization of power losses to facilitate the large-scale integration of DG Into distribution systems. The impact of DG on losses is also analyzed. Soft computing technique PSO is exhibited to be flexibly suitable for execution at any type of power system with the specified system bus data & line data. GA and PSO soft computing optimization techniques have been analyzed and tested on the standard benchmark IEEE 30-bus system. Results obtained after applying both optimization techniques on the American Electric IEEE 30-bus system with the same control variable with maximum & minimum limits and system data have been compared and analyzed. The result validates that the appropriate allocation and size of DG are the significant factors that affect the accommodation of the growing levels of DG in distribution networks.