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Optimal dispatching of wind-PV-mine pumped storage power station: A case study in Lingxin Coal Mine in Ningxia Province, China

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  • Gao, Renbo
  • Wu, Fei
  • Zou, Quanle
  • Chen, Jie

Abstract

With the gradual transformation of global energy, photovoltaic power generation, wind power generation, and other renewable energy have attracted countries around the world. Western China has excellent wind and solar energy resources, which are highly vulnerable to external factors and have severe limitations. Considering the gradual maturity of storage and energy storage technology of abandoned mine reservoirs, the combination of storage and energy storage technology of abandoned coal mines and wind-solar power generation technology can realize the reasonable allocation of electric energy in the time dimension. This paper studies the regulation capability of the mine pumped-hydro energy storage system proposed by scholars and uses the wind-photoelectric field model to predict the output power of wind farms and solar power stations. Taking the Lingxin coal mine as an example, the optimization algorithm is used to optimize the dispatching ability of the entire PHS joint system. The results prove that the system proposed in this paper can significantly improve the instability of the generation power curve (In terms of variance, volatility decreases to 18.76%), and improve the overall system revenue to some extent (economic efficiency increased by 15.47%). This provides certain technical support for the better utilization of new energy in the future.

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  • Gao, Renbo & Wu, Fei & Zou, Quanle & Chen, Jie, 2022. "Optimal dispatching of wind-PV-mine pumped storage power station: A case study in Lingxin Coal Mine in Ningxia Province, China," Energy, Elsevier, vol. 243(C).
  • Handle: RePEc:eee:energy:v:243:y:2022:i:c:s0360544221033107
    DOI: 10.1016/j.energy.2021.123061
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    6. Zhixin Zhang & Qiang Guo & Wei Liu, 2022. "Evaluation of Long-Term Tightness of the Coal Pillar Dam of Underground Reservoir and Protection Countermeasures," Energies, MDPI, vol. 15(19), pages 1-20, October.
    7. Zhang, Zhengjia & Wang, Qingxiang & Liu, Zhengguang & Chen, Qi & Guo, Zhiling & Zhang, Haoran, 2023. "Renew mineral resource-based cities: Assessment of PV potential in coal mining subsidence areas," Applied Energy, Elsevier, vol. 329(C).
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    9. Duan, Hongyu & Ma, Dan & Zou, Liangchao & Xie, Shijie & Liu, Yong, 2024. "Co-exploitation of coal and geothermal energy through water-conducting structures: Improving extraction efficiency of geothermal well," Renewable Energy, Elsevier, vol. 228(C).
    10. Xie, Rui & Wei, Wei & Li, Mingxuan & Dong, ZhaoYang & Mei, Shengwei, 2023. "Sizing capacities of renewable generation, transmission, and energy storage for low-carbon power systems: A distributionally robust optimization approach," Energy, Elsevier, vol. 263(PA).
    11. Mahfoud, Rabea Jamil & Alkayem, Nizar Faisal & Zhang, Yuquan & Zheng, Yuan & Sun, Yonghui & Alhelou, Hassan Haes, 2023. "Optimal operation of pumped hydro storage-based energy systems: A compendium of current challenges and future perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    12. Xin Lyu & Ke Yang & Juejing Fang & Jinzhou Tang & Yu Wang, 2022. "Feasibility Study of Construction of Pumped Storage Power Station Using Abandoned Mines: A Case Study of the Shitai Mine," Energies, MDPI, vol. 16(1), pages 1-16, December.
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