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A multi-regional modelling and optimization approach to China's power generation and transmission planning

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  • Guo, Zheng
  • Ma, Linwei
  • Liu, Pei
  • Jones, Ian
  • Li, Zheng

Abstract

Power demand in China has increased rapidly in the past decade, and it is projected to grow even further. To gain insights into how this demand growth could optimally be met, addressing regional differences such as resource distribution and power demand, is crucial. For long-term planning purposes, using a multi-regional mathematical model that divides China's power sector into regions overcomes the limitations of viewing as a single network. Reflecting how inter-regional power transmission could best be utilized is critical in understanding how flows between regions could be optimised. In this paper, a multi-regional model that reflects actual grid infrastructure with an objective function to maximize accumulated total profits gained by the power generation sector from 2013 to 2050 is proposed. A case study is provided to illustrate how inter-regional power transmission could influence the regional deployment of technologies under different policy scenarios. The results show that energy subsidies and national targets will remain important to the deployment of renewable energy in both the short and long term. In addition, potential downside implications of lower demand growth on the long-term prospects of long-distance inter-regional power transmission and options, such as more flexible electricity pricing mechanisms, to limit the effects are discussed.

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  • Guo, Zheng & Ma, Linwei & Liu, Pei & Jones, Ian & Li, Zheng, 2016. "A multi-regional modelling and optimization approach to China's power generation and transmission planning," Energy, Elsevier, vol. 116(P2), pages 1348-1359.
    • Handle: RePEc:eee:energy:v:116:y:2016:i:p2:p:1348-1359
    DOI: 10.1016/j.energy.2016.06.035
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    11. Yu. D. Kononov & D. Yu. Kononov, 2018. "Analytical Methods for Forecasting Development in the Electric Power Industry," Studies on Russian Economic Development, Springer, vol. 29(5), pages 527-532, September.
    12. Bai, Bo & Wang, Yihan & Fang, Cong & Xiong, Siqin & Ma, Xiaoming, 2021. "Efficient deployment of solar photovoltaic stations in China: An economic and environmental perspective," Energy, Elsevier, vol. 221(C).
    13. Pratama, Yoga Wienda & Purwanto, Widodo Wahyu & Tezuka, Tetsuo & McLellan, Benjamin Craig & Hartono, Djoni & Hidayatno, Akhmad & Daud, Yunus, 2017. "Multi-objective optimization of a multiregional electricity system in an archipelagic state: The role of renewable energy in energy system sustainability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 423-439.
    14. 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.
    15. Tang, Baojun & Li, Ru & Yu, Biying & An, Runying & Wei, Yi-Ming, 2018. "How to peak carbon emissions in China's power sector: A regional perspective," Energy Policy, Elsevier, vol. 120(C), pages 365-381.
    16. Hailin Mu & Zhewen Pei & Hongye Wang & Nan Li & Ye Duan, 2022. "Optimal Strategy for Low-Carbon Development of Power Industry in Northeast China Considering the ‘Dual Carbon’ Goal," Energies, MDPI, vol. 15(17), pages 1-22, September.
    17. Xu, Jin-Hua & Yi, Bo-Wen & Fan, Ying, 2020. "Economic viability and regulation effects of infrastructure investments for inter-regional electricity transmission and trade in China," Energy Economics, Elsevier, vol. 91(C).
    18. Li, Tianxiao & Li, Zheng & Li, Weiqi, 2020. "Scenarios analysis on the cross-region integrating of renewable power based on a long-period cost-optimization power planning model," Renewable Energy, Elsevier, vol. 156(C), pages 851-863.
    19. Li, Tianxiao & Liu, Pei & Li, Zheng, 2021. "Optimal scale of natural gas reserves in China under increasing and fluctuating demand: A quantitative analysis," Energy Policy, Elsevier, vol. 152(C).
    20. Märkle-Huß, Joscha & Feuerriegel, Stefan & Neumann, Dirk, 2020. "Cost minimization of large-scale infrastructure for electricity generation and transmission," Omega, Elsevier, vol. 96(C).
    21. Shuangshuang Zhou & Juan Yang & Shiwei Yu, 2022. "A Stochastic Multi-Objective Model for China’s Provincial Generation-Mix Planning: Considering Variable Renewable and Transmission Capacity," Energies, MDPI, vol. 15(8), pages 1-26, April.
    22. Qin, Quande & Liu, Yuan & Huang, Jia-Ping, 2020. "A cooperative game analysis for the allocation of carbon emissions reduction responsibility in China's power industry," Energy Economics, Elsevier, vol. 92(C).
    23. Fang Wang & Ming Yao & Xianhua Huang & Hao Guo & Penghui Zheng & Hongwei Yu, 2022. "The Effects of Investment in Major Construction Projects on Regional Economic Growth Quality: A Difference-In-Differences Analysis Based on PPP Policy," Sustainability, MDPI, vol. 14(11), pages 1-14, June.
    24. Wang, B. & Liu, L. & Huang, G.H. & Li, W. & Xie, Y.L., 2018. "Effects of carbon and environmental tax on power mix planning - A case study of Hebei Province, China," Energy, Elsevier, vol. 143(C), pages 645-657.
    25. Qian Zhang & Christopher Kennedy & Tao Wang & Wendong Wei & Jiashuo Li & Lei Shi, 2020. "Transforming the coal and steel nexus for China's eco‐civilization: Interplay between rail and energy infrastructure," Journal of Industrial Ecology, Yale University, vol. 24(6), pages 1352-1363, December.

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