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Substation Location Planning of the Weighted Voronoi Diagram Based on Particle Swarm Optimization Algorithm

LU Zhi-ying, GE Shao-yun, WANG Cheng-shan (Key Laboratory of Power System Simulation and Control (Tianjin University), Ministry of Education, Nankai District, Tianjin 300072, China)  
This paper presented a novel method for substation location planning of the weighted Voronoi diagram (WVD) based on particle swarm optimization (PSO) algorithm, which could optimize the location and power supply area of substations while the number and capacity of the substations were predefined. A new weighting coefficient expression was proposed based on the characteristic of the substation and load distribution. By introducing the self-adaptation of the weighting coefficient, the substation location planning method was presented based on the weighted Voronoi diagram, which could get more reasonable location and power supply area of the substations with keeping the convergence. Combining the global searching ability of the PSO, a particle swarm optimization-weighted voronoi diagram (PSO-WVD) substation location planning method was proposed to optimize the location and power supply area of the substations simultaneously. Test results indicate that the method is more reliable and reasonable than each method.
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