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Site Selection Evaluation of Pumped Storage Power Station Based on Multi-Energy Complementary Perspective: A Case Study in China

Author

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  • Hui Zhao

    (School of Management Engineering, Qingdao University of Technology, No. 777, Jialingjiang East Road, Huangdao District, Qingdao 266525, China)

  • Yanqi Xu

    (School of Management Engineering, Qingdao University of Technology, No. 777, Jialingjiang East Road, Huangdao District, Qingdao 266525, China)

Abstract

Pumped storage power stations (PSPSs, hereafter) have garnered significant attention due to their critical roles in peak regulation and frequency modulation, contributing to the advancement of global new energy and power systems. Site selection of power stations is the key to successful operation. In this paper, a new site selection index system and evaluation model covering hydrogeology, construction, social economy, and energy grid are proposed to meet the multi-energy complementary needs of new energy sources. The index system was constructed by the literature review and Delphi method, the subjective and objective weights were calculated by the G1 method and Gini weighting method, and the combined weights were obtained by modifying the G1 method based on the Gini coefficient. The VIKOR method was used to evaluate the pre-selected sites, determine the best scheme, and verify the stability of the results. The results of the case study show that the Centian station site in Guangdong Province is the most promising. This study provides decision support for the construction of pumped storage power plants and has important significance for the development of clean energy and new power systems.

Suggested Citation

  • Hui Zhao & Yanqi Xu, 2025. "Site Selection Evaluation of Pumped Storage Power Station Based on Multi-Energy Complementary Perspective: A Case Study in China," Energies, MDPI, vol. 18(13), pages 1-28, July.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:13:p:3549-:d:1695234
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    References listed on IDEAS

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    1. Wu, Yunna & Zhang, Ting & Xu, Chuanbo & Zhang, Xiaoyu & Ke, Yiming & Chu, Han & Xu, Ruhang, 2019. "Location selection of seawater pumped hydro storage station in China based on multi-attribute decision making," Renewable Energy, Elsevier, vol. 139(C), pages 410-425.
    2. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    3. Ayodele, T.R. & Ogunjuyigbe, A.S.O. & Odigie, O. & Munda, J.L., 2018. "A multi-criteria GIS based model for wind farm site selection using interval type-2 fuzzy analytic hierarchy process: The case study of Nigeria," Applied Energy, Elsevier, vol. 228(C), pages 1853-1869.
    4. Nzotcha, Urbain & Kenfack, Joseph & Blanche Manjia, Marceline, 2019. "Integrated multi-criteria decision making methodology for pumped hydro-energy storage plant site selection from a sustainable development perspective with an application," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 930-947.
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