# Application of GIS and Improved PSO Algorithm in Site Selection of Transformer Substation

Application of GIS and Improved PSO Algorithm in Site Selection of Transformer Substation

Li Xiaolong Zhou Qin  Zhu Jie  Li Long  Jia Fangying  Chen Jing

State Grid XiXian New Area Power Supply Company, Shaanxi XiXian New Area712000

PowerChina Northwest Engineering Corporation Limited, Shaanxi Xi’an 710065

State Grid Weinan Power Supply Company, Shaanxi Weinan 714000

Corresponding Author Email:
luslong@tom.com
Page:
39-42
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DOI:
10.18280/rces.030203
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Accepted:
|
Published:
30 June 2016
| Citation

OPEN ACCESS

Abstract:

According to the existing substation locating and sizing method due to the neglect of geographic factors which affect the accuracy of practical application, this article puts forward a method of substation locating and sizing based on geographic information system, the method combining the characteristics of county power grid and the geographical environment of substation, but also considering the effect of geographical factors such as terrain, landform, and density of population on investment cost, so that the results can play the biggest role in the practical application. Moreover, the application of the improved particle swarm algorithm in substation locating and sizing, taking into account the relationship between the individual and the overall situation, to further improve the location accuracy. The application of this method in a county in Shaanxi Province of substation location, confirmed that the method can effectively reduce the infeasible solutions, and eventually converges to the global optimal solution and make the substation planning results consistent with the actual requirements.

Keywords:

GIS, PSO, Site selection of transformer substation, Economical capacity of transformer substation

1. Introduction
2. Mathematical Model for Substation Sizing and Siting
3. Improved POS Algorithm
4. Application of GIS in Substation Sizing and Siting
5. Application Example
6. Conclusions
References

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