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Risk control of hydropower-photovoltaic multi-energy complementary scheduling based on energy storage allocation

Author

Listed:
  • Tan, Qiaofeng
  • Zhang, Ziyi
  • Wen, Xin
  • Fang, Guohua
  • Xu, Shuo
  • Nie, Zhuang
  • Wang, Yanling

Abstract

The complementary scheduling of hydropower with wind and photovoltaic (PV) power is an effective way to promote new energy consumption. However, previous studies have disregarded the operational risks of hydropower plants due to their physical constraints when complementing new energy sources. This study proposes a risk control method for a hybrid hydro-PV power system by adding electrochemistry energy storage (EES). A “day ahead–intraday–real-time” three-layer nested model is developed to guide the joint operation of the hydro-PV-EES hybrid system. The complementary flexibility of hydropower and EES is quantified and utilized to minimize unfavorable operating conditions of hydropower units when regulating PV forecast deviations. A case study of China's Longyangxia hydro-PV complementary project shows that after EES is connected to the system: (1) the total power generation of the system is improved 3.04%, and no power curtailment or shortage occurs; (2) the number of startups and shutdowns, and crossing the vibration zone of hydropower units are reduced by 12.87% and 12.17%, thereby improving the safety and operational stability of the hydropower plant; (3) the regulation flexibility supply of the complementary system is considerably improved; and (4) EES achieves flexible and safe control itself, with over 90% of the scheduling periods being in a healthy SOC range.

Suggested Citation

  • Tan, Qiaofeng & Zhang, Ziyi & Wen, Xin & Fang, Guohua & Xu, Shuo & Nie, Zhuang & Wang, Yanling, 2024. "Risk control of hydropower-photovoltaic multi-energy complementary scheduling based on energy storage allocation," Applied Energy, Elsevier, vol. 358(C).
  • Handle: RePEc:eee:appene:v:358:y:2024:i:c:s0306261923019748
    DOI: 10.1016/j.apenergy.2023.122610
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    References listed on IDEAS

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    1. Wen, Xin & Sun, Yuanliang & Tan, Qiaofeng & Tang, Zhengyang & Wang, Zhenni & Liu, Zhehua & Ding, Ziyu, 2022. "Optimizing the sizes of wind and photovoltaic plants complementarily operating with cascade hydropower stations: Balancing risk and benefit," Applied Energy, Elsevier, vol. 306(PA).
    2. Sousa, Jorge A.M. & Teixeira, Fábio & Faias, Sérgio, 2014. "Impact of a price-maker pumped storage hydro unit on the integration of wind energy in power systems," Energy, Elsevier, vol. 69(C), pages 3-11.
    3. Han, Shuo & He, Mengjiao & Zhao, Ziwen & Chen, Diyi & Xu, Beibei & Jurasz, Jakub & Liu, Fusheng & Zheng, Hongxi, 2023. "Overcoming the uncertainty and volatility of wind power: Day-ahead scheduling of hydro-wind hybrid power generation system by coordinating power regulation and frequency response flexibility," Applied Energy, Elsevier, vol. 333(C).
    4. Guo, Yi & Ming, Bo & Huang, Qiang & Liu, Pan & Wang, Yimin & Fang, Wei & Zhang, Wei, 2022. "Evaluating effects of battery storage on day-ahead generation scheduling of large hydro–wind–photovoltaic complementary systems," Applied Energy, Elsevier, vol. 324(C).
    5. Tan, Qiaofeng & Wen, Xin & Sun, Yuanliang & Lei, Xiaohui & Wang, Zhenni & Qin, Guanghua, 2021. "Evaluation of the risk and benefit of the complementary operation of the large wind-photovoltaic-hydropower system considering forecast uncertainty," Applied Energy, Elsevier, vol. 285(C).
    6. Ming, Bo & Liu, Pan & Guo, Shenglian & Cheng, Lei & Zhang, Jingwen, 2019. "Hydropower reservoir reoperation to adapt to large-scale photovoltaic power generation," Energy, Elsevier, vol. 179(C), pages 268-279.
    7. Wang, Xianxun & Virguez, Edgar & Xiao, Weihua & Mei, Yadong & Patiño-Echeverri, Dalia & Wang, Hao, 2019. "Clustering and dispatching hydro, wind, and photovoltaic power resources with multiobjective optimization of power generation fluctuations: A case study in southwestern China," Energy, Elsevier, vol. 189(C).
    8. Xu, Bin & Zhu, Feilin & Zhong, Ping-an & Chen, Juan & Liu, Weifeng & Ma, Yufei & Guo, Le & Deng, Xiaoliang, 2019. "Identifying long-term effects of using hydropower to complement wind power uncertainty through stochastic programming," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    9. Wei Ma & Wei Wang & Xuezhi Wu & Ruonan Hu & Fen Tang & Weige Zhang, 2019. "Control Strategy of a Hybrid Energy Storage System to Smooth Photovoltaic Power Fluctuations Considering Photovoltaic Output Power Curtailment," Sustainability, MDPI, vol. 11(5), pages 1-22, March.
    10. English, Jeffrey & Niet, Taco & Lyseng, Benjamin & Keller, Victor & Palmer-Wilson, Kevin & Robertson, Bryson & Wild, Peter & Rowe, Andrew, 2020. "Flexibility requirements and electricity system planning: Assessing inter-regional coordination with large penetrations of variable renewable supplies," Renewable Energy, Elsevier, vol. 145(C), pages 2770-2782.
    11. González-Aparicio, I. & Zucker, A., 2015. "Impact of wind power uncertainty forecasting on the market integration of wind energy in Spain," Applied Energy, Elsevier, vol. 159(C), pages 334-349.
    12. Li, He & Liu, Pan & Guo, Shenglian & Ming, Bo & Cheng, Lei & Yang, Zhikai, 2019. "Long-term complementary operation of a large-scale hydro-photovoltaic hybrid power plant using explicit stochastic optimization," Applied Energy, Elsevier, vol. 238(C), pages 863-875.
    13. Li, Jidong & Chen, Shijun & Wu, Yuqiang & Wang, Qinhui & Liu, Xing & Qi, Lijian & Lu, Xiuyuan & Gao, Lu, 2021. "How to make better use of intermittent and variable energy? A review of wind and photovoltaic power consumption in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    14. Yang, Yuqi & Zhou, Jianzhong & Liu, Guangbiao & Mo, Li & Wang, Yongqiang & Jia, Benjun & He, Feifei, 2020. "Multi-plan formulation of hydropower generation considering uncertainty of wind power," Applied Energy, Elsevier, vol. 260(C).
    15. Yang Yang & Chong Lian & Chao Ma & Yusheng Zhang, 2019. "Research on Energy Storage Optimization for Large-Scale PV Power Stations under Given Long-Distance Delivery Mode," Energies, MDPI, vol. 13(1), pages 1-20, December.
    16. Wang, Xuebin & Chang, Jianxia & Meng, Xuejiao & Wang, Yimin, 2018. "Short-term hydro-thermal-wind-photovoltaic complementary operation of interconnected power systems," Applied Energy, Elsevier, vol. 229(C), pages 945-962.
    17. Purvins, Arturs & Zubaryeva, Alyona & Llorente, Maria & Tzimas, Evangelos & Mercier, Arnaud, 2011. "Challenges and options for a large wind power uptake by the European electricity system," Applied Energy, Elsevier, vol. 88(5), pages 1461-1469, May.
    18. Liu, Zifa & Zhang, Zhe & Zhuo, Ranqun & Wang, Xuyang, 2019. "Optimal operation of independent regional power grid with multiple wind-solar-hydro-battery power," Applied Energy, Elsevier, vol. 235(C), pages 1541-1550.
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