Optimal Substation Locating and Sizing Based on Improved Weighted Voronoi Diagram and Genetic Algorithm

Abstract

Optimal planning of substation locating and sizing is one of the major components of distribution system planning projects. In this paper an approach for optimal locating, sizing and determining the power supply areas of substations using Improved Weighted Voronoi Diagram and Genetic Algorithm (WVD-GA) is presented. For rational power supply areas, variable weights and fixed weights are introduced as new concepts of weighted voronoi diagram to adjust the weights dynamically by considering substation characteristics and load density distribution. And an algorithm based on Cellular Automata (CA) for creating weighted voronoi diagram is designed, which greatly improve the performance of the creating process. The results show the efficiency and capability of the proposed method.