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Improving complementarity of a hybrid renewable energy system to meet load demand by using hydropower regulation ability

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  • Huang, Kangdi
  • Luo, Peng
  • Liu, Pan
  • KIM, Jong Suk
  • Wang, Yintang
  • Xu, Weifeng
  • Li, He
  • Gong, Yu

Abstract

The hydropower regulation ability, as an important factor of energy complementarity, can be used to alleviate the fluctuation of wind and photovoltaic power for meeting the load demand, and should not be ignored. To address this issue, the study proposes a hydropower complementarity assessment method for a hybrid energy system considering the load demand variation of the power grid. To begin with, two complementarity assessment indicators, including time and magnitude, are proposed by accounting for the probability that the power output of a hybrid energy system matches the load demand. Then, the complementarity of a hybrid energy system is assessed considering varied installed capacities of wind and photovoltaic plants. The Guandi wind-solar-hydro hybrid power plant on China's Yalong River is selected as a case study. Results from the case study show that: (1) The proposed method is superior to the traditional complementarity assessment methods, such as Pearson correlation coefficient and fluctuation index. (2) The complementarity of the hybrid energy system is underestimated when the hydropower regulation ability is not considered, and the power curtailment rate is overestimated by about 20%. This study provides a new complementarity assessment method for a hybrid renewable energy system.

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  • Huang, Kangdi & Luo, Peng & Liu, Pan & KIM, Jong Suk & Wang, Yintang & Xu, Weifeng & Li, He & Gong, Yu, 2022. "Improving complementarity of a hybrid renewable energy system to meet load demand by using hydropower regulation ability," Energy, Elsevier, vol. 248(C).
    • Handle: RePEc:eee:energy:v:248:y:2022:i:c:s0360544222004388
    DOI: 10.1016/j.energy.2022.123535
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    References listed on IDEAS

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    2. Cheng, Qian & Liu, Pan & Xia, Qian & Cheng, Lei & Ming, Bo & Zhang, Wei & Xu, Weifeng & Zheng, Yalian & Han, Dongyang & Xia, Jun, 2023. "An analytical method to evaluate curtailment of hydro–photovoltaic hybrid energy systems and its implication under climate change," Energy, Elsevier, vol. 278(C).
    3. Fan, Jing-Li & Huang, Xi & Shi, Jie & Li, Kai & Cai, Jingwen & Zhang, Xian, 2023. "Complementary potential of wind-solar-hydro power in Chinese provinces: Based on a high temporal resolution multi-objective optimization model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    4. Huang, Kangdi & Liu, Pan & Kim, Jong-Suk & Xu, Weifeng & Gong, Yu & Cheng, Qian & Zhou, Yong, 2023. "A model coupling current non-adjustable, coming adjustable and remaining stages for daily generation scheduling of a wind-solar-hydro complementary system," Energy, Elsevier, vol. 263(PB).
    5. Lei Zhang & Zongliang Qiao & Bingsen Hei & Youfei Tang & Shasha Liu, 2022. "Optimization of Steam Distribution Mode for Turbine Units Based on Governing Valve Characteristic Modeling," Energies, MDPI, vol. 15(23), pages 1-15, December.
    6. Ming, Bo & Chen, Jing & Fang, Wei & Liu, Pan & Zhang, Wei & Jiang, Jianhua, 2023. "Evaluation of stochastic optimal operation models for hydro–photovoltaic hybrid generation systems," Energy, Elsevier, vol. 267(C).
    7. Sk. A. Shezan & Innocent Kamwa & Md. Fatin Ishraque & S. M. Muyeen & Kazi Nazmul Hasan & R. Saidur & Syed Muhammad Rizvi & Md Shafiullah & Fahad A. Al-Sulaiman, 2023. "Evaluation of Different Optimization Techniques and Control Strategies of Hybrid Microgrid: A Review," Energies, MDPI, vol. 16(4), pages 1-30, February.
    8. 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).
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