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An optimal combined operation scheme for pumped storage and hybrid wind-photovoltaic complementary power generation system

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  • Sun, Kaiqi
  • Li, Ke-Jun
  • Pan, Jiuping
  • Liu, Yong
  • Liu, Yilu

Abstract

Because of the steady increase of wind and solar capacity installations in recent years, the goal of the Paris Agreement is expected to be reached. However, due to the intermittent characteristics of renewable generation, challenges are presented for the power grid to operate reliably and economically under the high uncertainty of wind and solar power productions. Sufficient responsive reserves must be available for the power grid to maintain the balance between the supply and demand. To be fair to the market participants, the renewable generation companies should pay for the received grid ancillary services. In this paper, an optimal combined operation scheme is proposed for pumped storage hydro and hybrid wind-photovoltaic complementary power generation system interconnected by a Voltage Source Converter-based multi-terminal HVDC system. The optimal combined operation scheme has two real-time control functions. The pumped storage hydro control function enables automatic dispatch of the pumped storage hydro to effectively suppress or compensate for the output deviations of wind and solar generation from the forecasted production; and the output control function is able to distribute the non-compensated production surplus or deficit to different ac systems based on the market regulating service prices. A Case study is provided to demonstrate the improved power generation profile and reduced revenue losses of the pumped storage hydro and hybrid wind-photovoltaic complementary power generation system.

Suggested Citation

  • Sun, Kaiqi & Li, Ke-Jun & Pan, Jiuping & Liu, Yong & Liu, Yilu, 2019. "An optimal combined operation scheme for pumped storage and hybrid wind-photovoltaic complementary power generation system," Applied Energy, Elsevier, vol. 242(C), pages 1155-1163.
    • Handle: RePEc:eee:appene:v:242:y:2019:i:c:p:1155-1163
    DOI: 10.1016/j.apenergy.2019.03.171
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    13. Javed, Muhammad Shahzad & Ma, Tao & Jurasz, Jakub & Amin, Muhammad Yasir, 2020. "Solar and wind power generation systems with pumped hydro storage: Review and future perspectives," Renewable Energy, Elsevier, vol. 148(C), pages 176-192.
    14. Ju, Chang & Ding, Tao & Jia, Wenhao & Mu, Chenggang & Zhang, Hongji & Sun, Yuge, 2023. "Two-stage robust unit commitment with the cascade hydropower stations retrofitted with pump stations," Applied Energy, Elsevier, vol. 334(C).
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    18. Chaoyang Chen & Hualing Liu & Yong Xiao & Fagen Zhu & Li Ding & Fuwen Yang, 2022. "Power Generation Scheduling for a Hydro-Wind-Solar Hybrid System: A Systematic Survey and Prospect," Energies, MDPI, vol. 15(22), pages 1-31, November.
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    20. Mensah, Johnson Herlich Roslee & Santos, Ivan Felipe Silva dos & Raimundo, Danielle Rodrigues & Costa de Oliveira Botan, Maria Cláudia & Barros, Regina Mambeli & Tiago Filho, Geraldo Lucio, 2022. "Energy and economic study of using Pumped Hydropower Storage with renewable resources to recover the Furnas reservoir," Renewable Energy, Elsevier, vol. 199(C), pages 320-334.
    21. Zhengwei Huang & Lu Liu & Jiachang Liu, 2023. "Multi-Time-Scale Coordinated Optimum Scheduling Technique for a Multi-Source Complementary Power-Generating System with Uncertainty in the Source-Load," Energies, MDPI, vol. 16(7), pages 1-22, March.
    22. Andrade Furtado, Gilton Carlos de & Amarante Mesquita, André Luiz & Morabito, Alessandro & Hendrick, Patrick & Hunt, Julian D., 2020. "Using hydropower waterway locks for energy storage and renewable energies integration," Applied Energy, Elsevier, vol. 275(C).
    23. 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).
    24. Guo, Su & Zheng, Kun & He, Yi & Kurban, Aynur, 2023. "The artificial intelligence-assisted short-term optimal scheduling of a cascade hydro-photovoltaic complementary system with hybrid time steps," Renewable Energy, Elsevier, vol. 202(C), pages 1169-1189.
    25. Li, Yan & Ming, Bo & Huang, Qiang & Wang, Yimin & Liu, Pan & Guo, Pengcheng, 2022. "Identifying effective operating rules for large hydro–solar–wind hybrid systems based on an implicit stochastic optimization framework," Energy, Elsevier, vol. 245(C).

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