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Provincial renewable energy dispatch optimization in line with Renewable Portfolio Standard policy in China

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  • Yu, Biying
  • Zhao, Zihao
  • Zhao, Guangpu
  • An, Runying
  • Sun, Feihu
  • Li, Ru
  • Peng, Xiaohan

Abstract

China has proposed the Renewable Portfolio Standard (RPS) policy to advance the stable development of renewable energy. The RPS requires each province to achieve a stated minimum share of renewable energy power in the total provincial power generation. However, there is an obvious mismatch between the actual capability of generating renewable power and the assigned responsibility for the share of renewable energy power based on the RPS in some provinces. Therefore, this study aims to optimize the renewable power dispatching strategy across provinces for satisfying the RPS requirements in China and to assess the corresponding pressure for each province. A renewable energy power dispatching model is developed, and an economically feasible strategy for dispatching renewable energy power in Chinese provinces in 2020–2022 was obtained. The results indicate that it is necessary to dispatch 395.2 and 140.4 TWh of hydropower and non-hydropower nationwide, respectively, in 2022 to fulfill the RPS target when the COVID-19 is effectively controlled worldwide. If COVID-19 cannot be effectively controlled, 376.6 and 127.8 TWh of hydropower and non-hydropower must be dispatched nationwide to fill the gap. Beijing, Tianjin, Shanghai, and Zhejiang are faced with a relatively high pressure under the RPS target. Finally, a path for each province to achieve its RPS target is proposed.

Suggested Citation

  • Yu, Biying & Zhao, Zihao & Zhao, Guangpu & An, Runying & Sun, Feihu & Li, Ru & Peng, Xiaohan, 2021. "Provincial renewable energy dispatch optimization in line with Renewable Portfolio Standard policy in China," Renewable Energy, Elsevier, vol. 174(C), pages 236-252.
    • Handle: RePEc:eee:renene:v:174:y:2021:i:c:p:236-252
    DOI: 10.1016/j.renene.2021.04.055
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    References listed on IDEAS

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    Cited by:

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    4. Yuanyuan He & Luxin Wan & Manli Zhang & Huijuan Zhao, 2022. "Regional Renewable Energy Installation Optimization Strategies with Renewable Portfolio Standards in China," Sustainability, MDPI, vol. 14(17), pages 1-18, August.
    5. Bangjun, Wang & Feng, Zhaolei & Feng, Ji & Yu, Pan & Cui, Linyu, 2022. "Decision making on investments in photovoltaic power generation projects based on renewable portfolio standard: Perspective of real option," Renewable Energy, Elsevier, vol. 189(C), pages 1033-1045.
    6. Fang, Yujuan & Wei, Wei & Mei, Shengwei, 2022. "How dynamic renewable portfolio standards impact the diffusion of renewable energy in China? A networked evolutionary game analysis," Renewable Energy, Elsevier, vol. 193(C), pages 778-788.
    7. Zeng, Lijun & Du, Wenjing & Zhao, Laijun & Zhan, Yanhong, 2023. "An inter-provincial transfer fee model under renewable portfolio standard policy," Energy, Elsevier, vol. 277(C).
    8. Wang, Yongpei & Yan, Qing & Luo, Yifei & Zhang, Qian, 2023. "Carbon abatement of electricity sector with renewable energy deployment: Evidence from China," Renewable Energy, Elsevier, vol. 210(C), pages 1-11.
    9. Yang, Yan-Shen & Xie, Bai-Chen & Tan, Xu, 2024. "Impact of green power trading mechanism on power generation and interregional transmission in China," Energy Policy, Elsevier, vol. 189(C).
    10. Zhang, Yusheng & Ma, Chao & Yang, Yang & Pang, Xiulan & Lian, Jijian & Wang, Xin, 2022. "Capacity configuration and economic evaluation of a power system integrating hydropower, solar, and wind," Energy, Elsevier, vol. 259(C).
    11. Zhou, Xianyang & Zhou, Dequn & Ding, Hao & Zhao, Siqi & Wang, Qunwei, 2023. "Low-carbon transition of China's provincial power sector under renewable portfolio standards and carbon cap," Energy, Elsevier, vol. 283(C).

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