Substation planning method based on the weighted Voronoi diagram using an intelligent optimisation algorithm

2014 ◽  
Vol 8 (12) ◽  
pp. 2173-2182 ◽  
Author(s):  
Zhiying Lu ◽  
Shaoyun Ge ◽  
Chengshan Wang ◽  
Shiju Wang
2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Shiju Wang ◽  
Zhiying Lu ◽  
Shaoyun Ge ◽  
Chengshan Wang

Substation locating and sizing is an important component of urban power networks. In this paper, an improved method based on the weighted Voronoi diagram and transportation model for substation planning is proposed, which can optimize the location, capacity, and power supply range for each substation with the minimum investment which contains the cost of the lines, substations, and annual operation expense. The weighted Voronoi diagram (WVD) whose weights can be adaptively adjusted can calculate the location and the capacity for each substation with good performance of global convergence and better convergence speed. Transportation model can simulate the best correspondence relationship between the loads and substations. The impact of geographical factors is also considered in this paper. Large amount of experiments show that the improved method can get more reasonable and more optimized planning result within shorter time than the original WVD and other algorithms.


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