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Optimal Site Selection of Wind-Solar Complementary Power Generation Project for a Large-Scale Plug-In Charging Station


  • Wenjun Chen

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Yanlei Zhu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Meng Yang

    (Northwest Electric Power Design Institute Corporation, Xi’an 710075, China)

  • Jiahai Yuan

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)


The wind-solar hybrid power generation project combined with electric vehicle charging stations can effectively reduce the impact on the power system caused by the random charging of electric cars, contribute to the in-situ wind-solar complementary system and reduce the harm arising from its output volatility. In this paper, the site selection index system of a landscape complementary power generation project is established by using the statistical methods and statistical analysis in the literature. Subsequently, using the Analytic Network Process to calculate the index weight, a cloud model was used in combination with preference ranking organization method for enrichment evaluations to transform and sort uncertain language information. Finally, using the results of the decision-making for the location of the Shanghai wind-solar complementary project and by carrying out contrast analysis and sensitivity analysis, the superiority and stability of the decision model constructed in this study was demonstrated.

Suggested Citation

  • Wenjun Chen & Yanlei Zhu & Meng Yang & Jiahai Yuan, 2017. "Optimal Site Selection of Wind-Solar Complementary Power Generation Project for a Large-Scale Plug-In Charging Station," Sustainability, MDPI, vol. 9(11), pages 1-22, October.
  • Handle: RePEc:gam:jsusta:v:9:y:2017:i:11:p:1994-:d:117107

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    1. Yechennan Peng & Hossein Azadi & Liang (Emlyn) Yang & Jürgen Scheffran & Ping Jiang, 2022. "Assessing the Siting Potential of Low-Carbon Energy Power Plants in the Yangtze River Delta: A GIS-Based Approach," Energies, MDPI, vol. 15(6), pages 1-20, March.
    2. Oh, Myeongchan & Kim, Sung-Min & Park, Hyeong-Dong, 2020. "Estimation of photovoltaic potential of solar bus in an urban area: Case study in Gwanak, Seoul, Korea," Renewable Energy, Elsevier, vol. 160(C), pages 1335-1348.

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