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Study on short-term optimal operation of cascade hydro-photovoltaic hybrid systems

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  • Zhang, Yusheng
  • Ma, Chao
  • Yang, Yang
  • Pang, Xiulan
  • Liu, Lu
  • Lian, Jijian

Abstract

Formulating an optimal operation strategy is a real challenge in the actual operation stage of a hybrid system. This study presented a research framework for determining the short-term optimal operation strategy for cascade hydro-photovoltaic hybrid system. First, a method was presented for describing the cascade hydro-photovoltaic hybrid system net load utilizing the daily average net load and fluctuation coefficient. Second, a model was established for the short-term optimal operation of the cascade hydro-photovoltaic hybrid system. Then, a synchronous peak-shaving strategy of cascade hydropower stations was proposed based on the fluctuation coefficient. Finally, the framework was applied to a case study in the Qinghai Province, China. The results showed an obvious competitive relationship between the two objectives. In the hybrid system, the peak-shaving task is mainly carried out by a daily regulation hydropower station, while its base-load task is jointly carried out by runoff and daily regulation hydropower stations. When the average daily runoff is less than 30% of the hydropower rated flow, the cascade hydro-photovoltaic hybrid system should bear single-peak load on sunny, cloudy, and dusty days, otherwise, it should bear double-peak load. It should bear double-peak load under different daily average runoffs on rainy and snowy days. After the cascade hydropower relative position was interchanged, the cascade hydropower overall peak-shaving capability decreased. Thus, the above results prove the feasibility of the research framework, and it provides a reference for the short-term operation of cascade hydro-photovoltaic hybrid system.

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  • Zhang, Yusheng & Ma, Chao & Yang, Yang & Pang, Xiulan & Liu, Lu & Lian, Jijian, 2021. "Study on short-term optimal operation of cascade hydro-photovoltaic hybrid systems," Applied Energy, Elsevier, vol. 291(C).
    • Handle: RePEc:eee:appene:v:291:y:2021:i:c:s0306261921003287
    DOI: 10.1016/j.apenergy.2021.116828
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    19. Zhang, Juntao & Cheng, Chuntian & Yu, Shen & Shen, Jianjian & Wu, Xinyu & Su, Huaying, 2022. "Preliminary feasibility analysis for remaking the function of cascade hydropower stations to enhance hydropower flexibility: A case study in China," Energy, Elsevier, vol. 260(C).
    20. 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.
    21. Jia, Rui & He, Mengjiao & Zhang, Xinyu & Zhao, Ziwen & Han, Shuo & Jurasz, Jakub & Chen, Diyi & Xu, Beibei, 2022. "Optimal operation of cascade hydro-wind-photovoltaic complementary generation system with vibration avoidance strategy," Applied Energy, Elsevier, vol. 324(C).
    22. Zhang, Pengfei & Ma, Chao & Lian, Jijian & Li, Peiyao & Liu, Lu, 2024. "Medium- and long-term operation optimization of the LCHES-WP hybrid power system considering the settlement rules of the electricity trading market," Applied Energy, Elsevier, vol. 359(C).

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