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Location of Mountain Photovoltaic Power Station Based on Fuzzy Analytic Hierarchy Process—Taking Longyang District, Baoshan City, Yunnan Province as an Example

Author

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  • Yiping Li

    (Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Faculty of Geography, Yunnan Normal University, Kunming 650500, China
    Center for Geospatial Information Engineering and Technology of Yunnan Province, Faculty of Geography, Yunnan Normal University, Kunming 650500, China)

  • Jingchun Zhou

    (Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Faculty of Geography, Yunnan Normal University, Kunming 650500, China
    Center for Geospatial Information Engineering and Technology of Yunnan Province, Faculty of Geography, Yunnan Normal University, Kunming 650500, China)

  • Zhanyong Feng

    (Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Faculty of Geography, Yunnan Normal University, Kunming 650500, China
    Center for Geospatial Information Engineering and Technology of Yunnan Province, Faculty of Geography, Yunnan Normal University, Kunming 650500, China)

Abstract

Site selection is a key link in the early stage of constructing a photovoltaic power station and providing accurate guidance for the development of such stations. Taking Longyang District, Baoshan City, Yunnan Province, as an example, this article utilizes land-use status data from the third national land survey. The study focuses on five land-use types: idle land, bare land, shrub land, forest land, and another grassland, while excluding interfering land types such as construction land, ecological conservation areas, and cultivated land. Thirteen factors including terrain, weather, environment, and neighboring resources are considered. By employing the fuzzy analytic hierarchy process, a site selection model is constructed to analyze the suitability of photovoltaic power station locations. This study emphasizes the influence of geological disaster factors when selecting environmental factors. Given the high frequency of geological disasters in mountainous areas, these factors significantly affect the safety of later-stage photovoltaic power station operations. Previous research has paid less attention to this factor. The results indicate a high level of suitability for photovoltaic site selection in Longyang District, Baoshan City, with suitable, moderately suitable, and unsuitable areas accounting for 20.09%, 34.14%, and 45.77%, respectively. Previous studies have lacked sufficient validation of site selection outcomes. In this research, validation is conducted using areas where photovoltaic power stations have already been established and are under construction within the region. The accuracy of this site selection method is found to be 92.78%. The aim is to provide a scientific reference for site selection in mountainous areas with photovoltaic power station construction needs.

Suggested Citation

  • Yiping Li & Jingchun Zhou & Zhanyong Feng, 2023. "Location of Mountain Photovoltaic Power Station Based on Fuzzy Analytic Hierarchy Process—Taking Longyang District, Baoshan City, Yunnan Province as an Example," Sustainability, MDPI, vol. 15(24), pages 1-19, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:24:p:16955-:d:1302614
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    References listed on IDEAS

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