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Operating rules for hydro-photovoltaic systems: A variance-based sensitivity analysis

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  • Yang, Zhikai
  • Liu, Pan
  • Xia, Qian
  • Li, He
  • Cheng, Qian
  • Cheng, Lei

Abstract

The complementary operation is a mode to effectively ensure power benefits for a hydro-photovoltaic (PV) hybrid power system. Operating rules is a classical management tool to guide the system operation that generalizes the intrinsic dynamics relationship among optimal decision making, hydrometeorology variables and hybrid power system characteristics. Conventional rules for hydro-PV hybrid power system are often established in a subjective manner. It is a challenge in their applications because the operating rules are sensitive to climatic conditions. For dealing this challenge, dominant hydro-meteorological factors for the operation decisioning in different climatic conditions are eliminated by using the variance-based sensitivity analysis method, and further identify effective operating rules form to obtain robust operation benefits. The hydro-PV hybrid power system in Longyangxia, China is used as a case study. The result shows that the major factors in decisioning are the initial total potential stored energy (SE) and the input of potential energy (IE), whereas the interaction between SE and IE is the minor factor. It is also found that higher performance is achieved when SE and IE are considered separately instead of the product factor available energy (AE). Compared to the traditional complementary operating rules, the annual power generation and reliability of the system are increased by 1.59% and 1.71% under the newly derived rules, respectively. These findings are meaningful for robustly operating hybrid power systems under changing environments.

Suggested Citation

  • Yang, Zhikai & Liu, Pan & Xia, Qian & Li, He & Cheng, Qian & Cheng, Lei, 2024. "Operating rules for hydro-photovoltaic systems: A variance-based sensitivity analysis," Applied Energy, Elsevier, vol. 372(C).
  • Handle: RePEc:eee:appene:v:372:y:2024:i:c:s0306261924011310
    DOI: 10.1016/j.apenergy.2024.123748
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    as
    1. Sebastian Sterl & Dalia Fadly & Stefan Liersch & Hagen Koch & Wim Thiery, 2021. "Linking solar and wind power in eastern Africa with operation of the Grand Ethiopian Renaissance Dam," Nature Energy, Nature, vol. 6(4), pages 407-418, April.
    2. Shah, Rakibuzzaman & Mithulananthan, N. & Bansal, R.C. & Ramachandaramurthy, V.K., 2015. "A review of key power system stability challenges for large-scale PV integration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1423-1436.
    3. Zhang, Yi & Cheng, Chuntian & Cai, Huaxiang & Jin, Xiaoyu & Jia, Zebin & Wu, Xinyu & Su, Huaying & Yang, Tiantian, 2022. "Long-term stochastic model predictive control and efficiency assessment for hydro-wind-solar renewable energy supply system," Applied Energy, Elsevier, vol. 316(C).
    4. Hoseinzadeh, Siamak & Ghasemi, Mohammad Hadi & Heyns, Stephan, 2020. "Application of hybrid systems in solution of low power generation at hot seasons for micro hydro systems," Renewable Energy, Elsevier, vol. 160(C), pages 323-332.
    5. Ávila, Leandro & Mine, Miriam R.M & Kaviski, Eloy & Detzel, Daniel H.M., 2021. "Evaluation of hydro-wind complementarity in the medium-term planning of electrical power systems by joint simulation of periodic streamflow and wind speed time series: A Brazilian case study," Renewable Energy, Elsevier, vol. 167(C), pages 685-699.
    6. Jiang, Jianhua & Ming, Bo & Liu, Pan & Huang, Qiang & Guo, Yi & Chang, Jianxia & Zhang, Wei, 2023. "Refining long-term operation of large hydro–photovoltaic–wind hybrid systems by nesting response functions," Renewable Energy, Elsevier, vol. 204(C), pages 359-371.
    7. 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.
    8. Gong, Yu & Liu, Pan & Liu, Yini & Huang, Kangdi, 2021. "Robust operation interval of a large-scale hydro-photovoltaic power system to cope with emergencies," Applied Energy, Elsevier, vol. 290(C).
    9. Sterl, Sebastian & Donk, Peter & Willems, Patrick & Thiery, Wim, 2020. "Turbines of the Caribbean: Decarbonising Suriname's electricity mix through hydro-supported integration of wind power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    10. Shu Zhang & Wenying Chen, 2022. "Assessing the energy transition in China towards carbon neutrality with a probabilistic framework," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    11. Hoseinzadeh, Siamak & Astiaso Garcia, Davide & Huang, Lizhen, 2023. "Grid-connected renewable energy systems flexibility in Norway islands’ Decarbonization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
    12. Li, He & Liu, Pan & Guo, Shenglian & Cheng, Lei & Huang, Kangdi & Feng, Maoyuan & He, Shaokun & Ming, Bo, 2021. "Deriving adaptive long-term complementary operating rules for a large-scale hydro-photovoltaic hybrid power plant using ensemble Kalman filter," Applied Energy, Elsevier, vol. 301(C).
    13. Li, He & Liu, Pan & Guo, Shenglian & Zuo, Qiting & Cheng, Lei & Tao, Jie & Huang, Kangdi & Yang, Zhikai & Han, Dongyang & Ming, Bo, 2022. "Integrating teleconnection factors into long-term complementary operating rules for hybrid power systems: A case study of Longyangxia hydro-photovoltaic plant in China," Renewable Energy, Elsevier, vol. 186(C), pages 517-534.
    14. Zhang, Zhendong & Qin, Hui & Li, Jie & Liu, Yongqi & Yao, Liqiang & Wang, Yongqiang & Wang, Chao & Pei, Shaoqian & Li, Pusheng & Zhou, Jianzhong, 2021. "Operation rule extraction based on deep learning model with attention mechanism for wind-solar-hydro hybrid system under multiple uncertainties," Renewable Energy, Elsevier, vol. 170(C), pages 92-106.
    15. Xu, Shitian & Liu, Pan & Li, Xiao & Cheng, Qian & Liu, Zheyuan, 2023. "Deriving long-term operating rules of the hydro-wind-PV hybrid energy system considering electricity price," Renewable Energy, Elsevier, vol. 219(P1).
    16. Pimenta, Felipe M. & Assireu, Arcilan T., 2015. "Simulating reservoir storage for a wind-hydro hydrid system," Renewable Energy, Elsevier, vol. 76(C), pages 757-767.
    17. 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.
    18. Ding, Ziyu & Wen, Xin & Tan, Qiaofeng & Yang, Tiantian & Fang, Guohua & Lei, Xiaohui & Zhang, Yu & Wang, Hao, 2021. "A forecast-driven decision-making model for long-term operation of a hydro-wind-photovoltaic hybrid system," Applied Energy, Elsevier, vol. 291(C).
    19. Ming, Bo & Liu, Pan & Guo, Shenglian & Cheng, Lei & Zhou, Yanlai & Gao, Shida & Li, He, 2018. "Robust hydroelectric unit commitment considering integration of large-scale photovoltaic power: A case study in China," Applied Energy, Elsevier, vol. 228(C), pages 1341-1352.
    20. Yang, Zhikai & Liu, Pan & Cheng, Lei & Liu, Deli & Ming, Bo & Li, He & Xia, Qian, 2021. "Sizing utility-scale photovoltaic power generation for integration into a hydropower plant considering the effects of climate change: A case study in the Longyangxia of China," Energy, Elsevier, vol. 236(C).
    21. Rong Tang & Jing Zhao & Yifan Liu & Xin Huang & Yanxu Zhang & Derong Zhou & Aijun Ding & Chris P. Nielsen & Haikun Wang, 2022. "Air quality and health co-benefits of China’s carbon dioxide emissions peaking before 2030," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    22. Sebastian Sterl & Inne Vanderkelen & Celray James Chawanda & Daniel Russo & Robert J. Brecha & Ann Griensven & Nicole P. M. Lipzig & Wim Thiery, 2020. "Smart renewable electricity portfolios in West Africa," Nature Sustainability, Nature, vol. 3(9), pages 710-719, September.
    23. Bird, Lori & Lew, Debra & Milligan, Michael & Carlini, E. Maria & Estanqueiro, Ana & Flynn, Damian & Gomez-Lazaro, Emilio & Holttinen, Hannele & Menemenlis, Nickie & Orths, Antje & Eriksen, Peter Børr, 2016. "Wind and solar energy curtailment: A review of international experience," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 577-586.
    24. 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.
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