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A system dynamics model of the investment capacity of China's power grid under the third regulatory cycle of transmission and distribution tariff reform

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  • Xu, Xiaomin
  • Wang, Zhiyi
  • Zhou, Yingying
  • Cui, Haoxu
  • Zheng, Shipeng
  • Guan, Xiao

Abstract

Under the third regulatory cycle of transmission and distribution tariff (T&D) reform, power grid companies' profit pattern and operation ideas have significantly changed their investment capacity. To accurately assess the investment capacity of companies, this study first reveals the impacts of the reforms on the electricity sales side profit pattern. Then, a system dynamics prediction model is constructed to analyze investment capacity based on these reforms. Finally, the trend of investment capacity is predicted with actual data for a company, and targeted management suggestions are presented based on the sensitivity analysis for power grid companies.

Suggested Citation

  • Xu, Xiaomin & Wang, Zhiyi & Zhou, Yingying & Cui, Haoxu & Zheng, Shipeng & Guan, Xiao, 2025. "A system dynamics model of the investment capacity of China's power grid under the third regulatory cycle of transmission and distribution tariff reform," Utilities Policy, Elsevier, vol. 95(C).
    • Handle: RePEc:eee:juipol:v:95:y:2025:i:c:s0957178725000839
    DOI: 10.1016/j.jup.2025.101968
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    References listed on IDEAS

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    1. José D. Morcillo & Fabiola Angulo & Carlos J. Franco, 2020. "Analyzing the Hydroelectricity Variability on Power Markets from a System Dynamics and Dynamic Systems Perspective: Seasonality and ENSO Phenomenon," Energies, MDPI, vol. 13(9), pages 1-25, May.
    2. Wu, Jiansong & Zhang, Linlin & Bai, Yiping & Reniers, Genserik, 2022. "A safety investment optimization model for power grid enterprises based on System Dynamics and Bayesian network theory," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    3. Wang, Yongli & Zhang, Fuli & Zhang, Yuanyuan & Wang, Xiaohai & Fan, Lisha & Song, Fuhao & Ma, Yuze & Wang, Shuo, 2019. "Chinese power-grid financial capacity based on transmission and distribution tariff policy: A system dynamics approach," Utilities Policy, Elsevier, vol. 60(C), pages 1-1.
    4. Jingqi Sun & Nuermaimaiti Ruze & Jianjun Zhang & Haoran Zhao & Boyang Shen, 2019. "Evaluating the Investment Efficiency of China’s Provincial Power Grid Enterprises under New Electricity Market Reform: Empirical Evidence Based on Three-Stage DEA Model," Energies, MDPI, vol. 12(18), pages 1-17, September.
    5. Yana Duan & Yang Sun & Yu Zhang & Xiaoqi Fan & Qinghuan Dong & Sen Guo, 2021. "Risk Evaluation of Electric Power Grid Investment in China Employing a Hybrid Novel MCDM Method," Mathematics, MDPI, vol. 9(5), pages 1-22, February.
    6. Hongliang Tian & Liang Zhao & Sen Guo, 2023. "Comprehensive Benefit Evaluation of Power Grid Investment Considering Renewable Energy Development from the Perspective of Sustainability," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
    7. He, Y.X. & Jiao, J. & Chen, R.J. & Shu, H., 2018. "The optimization of Chinese power grid investment based on transmission and distribution tariff policy: A system dynamics approach," Energy Policy, Elsevier, vol. 113(C), pages 112-122.
    8. Wang, Yongli & Zhou, Minhan & Zhang, Fuli & Zhang, Yuli & Ma, Yuze & Dong, Huanran & Zhang, Danyang & Liu, Lin, 2021. "Chinese grid investment based on transmission and distribution tariff policy: An optimal coordination between capacity and demand," Energy, Elsevier, vol. 219(C).
    9. Ersheng Pan & Dong Peng & Wangcheng Long & Yawei Xue & Lang Zhao & Jinchao Li, 2019. "Provincial Grid Investment Scale Forecasting Based on MLR and RBF Neural Network," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-12, January.
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