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Multi-region optimal deployment of renewable energy considering different interregional transmission scenarios

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  • Wang, Ge
  • Zhang, Qi
  • Mclellan, Benjamin C.
  • Li, Hailong

Abstract

Renewable energy is expected to play much more important role in future low-carbon energy system, however, renewable energy has problems with regard to load-following and regional imbalance. This study aims to plan the deployment of intermittent renewable energy in multiple regions considering the impacts of regional natural conditions and generation capacity mix as well as interregional transmission capacity using a multi-region dynamic optimization model. The model was developed to find optimized development paths toward future smart electricity systems with high level penetration of intermittent renewable energy considering regional differences and interregional transmission at national scale. As a case study, the model was applied to plan power generation in nine interconnected regions in Japan out to 2030. Four scenarios were proposed with different supporting policies for the interregional power transmission infrastructures and different nuclear power phase-out scenarios. The analysis results show that (i) the government's support for power transmission infrastructures is vital important to develop more intermittent renewable energy in appropriate regions and utilize renewable energy more efficiently; (ii) nuclear and renewable can complement rather than replace each other if enough interregional transmission capacity is provided.

Suggested Citation

  • Wang, Ge & Zhang, Qi & Mclellan, Benjamin C. & Li, Hailong, 2016. "Multi-region optimal deployment of renewable energy considering different interregional transmission scenarios," Energy, Elsevier, vol. 108(C), pages 108-118.
    • Handle: RePEc:eee:energy:v:108:y:2016:i:c:p:108-118
    DOI: 10.1016/j.energy.2015.08.060
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    Cited by:

    1. Jia, Zhijie & Wen, Shiyan & Wang, Yao, 2023. "Power coming from the sky: Economic benefits of inter-regional power transmission in China," Energy Economics, Elsevier, vol. 119(C).
    2. Wang, Hongye & Su, Bin & Mu, Hailin & Li, Nan & Jiang, Bo & Kong, Xue, 2019. "Optimization of electricity generation and interprovincial trading strategies in Southern China," Energy, Elsevier, vol. 174(C), pages 696-707.
    3. Zhang, Qiang & Chen, Wenying, 2020. "Modeling China’s interprovincial electricity transmission under low carbon transition," Applied Energy, Elsevier, vol. 279(C).
    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. Zhang, Chongchong & Cai, Xiangyu & Lin, Boqiang, 2023. "The low-carbon transition of China's power sector: Scale effect of grid upgrading," Energy, Elsevier, vol. 285(C).
    6. Ossai, Chinedu I., 2017. "Optimal renewable energy generation – Approaches for managing ageing assets mechanisms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 269-280.
    7. Yi, Bo-Wen & Xu, Jin-Hua & Fan, Ying, 2016. "Inter-regional power grid planning up to 2030 in China considering renewable energy development and regional pollutant control: A multi-region bottom-up optimization model," Applied Energy, Elsevier, vol. 184(C), pages 641-658.

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