Optimizing the Process of Locating of Steady-Consumption Distribution Substations by PSO, MPSO & GA

Grid optimization is important in many aspects in today’s power grids. It is aimed at reducing energy losses, improving voltage profile, enhancing the reliability, decreasing the costs etc. One of the major features should be optimally regarded is the position of grid components, including distribution substations (posts), new power supplies and transmission lines. Since the majority of loads are of industrial and a good planning considerably impacts cost reduction, this is more important in industrial parks. This research studied the subject of modeling and optimizing such grids. To optimize grids, Particle Swarm Optimization (PSO), Modified Particle Swarm Optimization (MPSO) and Genetic Algorithm (GA) techniques were simultaneously used. MPSO technique presented a more optimized model.