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Letter | Open Access

Power system decarbonization pathway of China

Chongqing Kang1Ziyang Zhang1Hongyi Wei1Ershun Du2Peng Wang1Ning Zhang1
State Key Laboratory of Power Systems, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
Laboratory of Low Carbon Energy, Tsinghua University, Beijing 100084, China
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Abstract

Under the pressure of environmental issues, decarbonization of the entire energy system has emerged as a prevalent strategy worldwide. The evolution of China’s power system will increasingly emphasize the integration of variable renewable energy (VRE). However, the rapid growth of VRE will pose substantial challenges to the power system, highlighting the importance of power system planning. This letter introduces Grid Optimal Planning Tool (GOPT), a planning tool, and presents the key findings of our research utilizing GOPT to analyze the transition pathway of China’s power system towards dual carbon goals. Furthermore, the letter offers insights into key technologies essential for driving the future transition of China’s power system.

References

[1]
IEA (2023). Net zero roadmap: A global pathway to keep the 1.5 °C goal in reach. Available at https://www.iea.org/reports/net-zero-roadmap-a-global-pathway-to-keep-the-15-0c-goal-in-reach.
[2]

Di Silvestre, M. L., Favuzza, S., Riva Sanseverino, E., Zizzo, G. (2018). How decarbonization, digitalization and decentralization are changing key power infrastructures. Renewable and Sustainable Energy Reviews, 93: 483–498.

[3]
Shu, Y., Zhang, L., Zhang, Y., Wang, Y., Lu, G., Yuan, B., Xia, P. (2021). Carbon peak and carbon neutrality path for China’s power industry. Strategic Study of CAE, 23(6): 1–14. (in Chinese)
[4]
Chen, X., Liu, Y., Wang, Q., Lv, J., Wen, J., Chen, X., Kang, C., Cheng, S., McElroy, M. B. (2021). Pathway toward carbon-neutral electrical systems in China by mid-century with negative CO2 abatement costs informed by high-resolution modeling. Joule, 5(10): 2715–2741.
[5]

Luo, S., Hu, W., Liu, W., Xu, X., Huang, Q., Chen, Z., Lund, H. (2021). Transition pathways towards a deep decarbonization energy system—A case study in Sichuan, China. Applied Energy, 302: 117507.

[6]

Song, Q., Rong, N., Han, S., Ao, W., Huang, H., Wei, Y. (2022). Decarbonization pathways of China’s provincial energy systems under carbon constraints: A case study of Guizhou Province. Energy Reports, 8: 9363–9378.

[7]

He, G., Avrin, A. P., Nelson, J. H., Johnston, J., Mileva, A., Tian, J., Kammen, D. M. (2016). SWITCH-China: A systems approach to decarbonizing China’s power system. Environmental Science & Technology, 50: 5467–5473.

[8]

Li, N., Chen, W. (2018). Modeling China’s interprovincial coal transportation under low carbon transition. Applied Energy, 222: 267–279.

[9]

Brown, P. R., Botterud, A. (2021). The value of inter-regional coordination and transmission in decarbonizing the US electricity system. Joule, 5: 115–134.

[10]

Pleßmann, G., Blechinger, P. (2017). How to meet EU GHG emission reduction targets? A model based decarbonization pathway for Europe’s electricity supply system until 2050. Energy Strategy Reviews, 15: 19–32.

[11]
State Grid Energy Research Institute (2020). China Energy & Electricity Outlook 2020. Beijing China: China Electric Power Press.
[12]

Mohandes, B., El Moursi, M. S., Hatziargyriou, N., El Khatib, S. (2019). A review of power system flexibility with high penetration of renewables. IEEE Transactions on Power Systems, 34: 3140–3155.

[13]

Li, J., Zhou, J., Chen, B. (2020). Review of wind power scenario generation methods for optimal operation of renewable energy systems. Applied Energy, 280: 115992.

[14]
Milano, F., Dörfler, F., Hug, G., Hill, D. J., Verbič, G. (2018). Foundations and challenges of low-inertia systems. In: Proceedings of the 2018 power systems computation conference (PSCC), Dublin, Ireland.
[15]

Alipoor, J., Miura, Y., Ise, T. (2015). Power system stabilization using virtual synchronous generator with alternating moment of inertia. IEEE Journal of Emerging and Selected Topics in Power Electronics, 3: 451–458.

[16]

Converse, A. O. (2012). Seasonal energy storage in a renewable energy system. Proceedings of the IEEE, 100: 401–409.

[17]

Wang, W., Beddard, A., Barnes, M., Marjanovic, O. (2014). Analysis of active power control for VSC–HVDC. IEEE Transactions on Power Delivery, 29: 1978–1988.

[18]

Du, E., Zhang, N., Hodge, B. M., Wang, Q., Kang, C., Kroposki, B., Xia, Q. (2018). The role of concentrating solar power toward high renewable energy penetrated power systems. IEEE Transactions on Power Systems, 33: 6630–6641.

[19]

Bui, M., Adjiman, C. S., Bardow, A., Anthony, E. J., Boston, A., Brown, S., Fennell, P. S., Fuss, S., Galindo, A., Hackett, L. A., et al. (2018). Carbon capture and storage (CCS): The way forward. Energy & Environmental Science, 11: 1062–1176.

[20]

Zhuo, Z., Du, E., Zhang, N., Nielsen, C. P., Lu, X., Xiao, J., Wu, J., Kang, C. (2022). Cost increase in the electricity supply to achieve carbon neutrality in China. Nature Communications, 13: 3172.

[21]
Wei, H., Zhuo, Z., Zhang, N., Du, E., Xiao, J., Wang, P., Kang, C. (2022). Transition path optimization and influencing factor analysis of carbon emission peak and carbon neutrality for power system of China. Automation of Electric Power Systems, 46(19): 1–12. (in Chinese)
[22]

Zhang, N., Yu, Y., Fang, C., Su, Y., Kang, C. (2024). Power system adequacy with variable resources: A capacity credit perspective. IEEE Transactions on Reliability, 73: 53–58.

[23]

Pudjianto, D., Ramsay, C., Strbac, G. (2007). Virtual power plant and system integration of distributed energy resources. IET Renewable Power Generation, 1: 10–16.

[24]

Hatziargyriou, N., Milanovic, J., Rahmann, C., Ajjarapu, V., Canizares, C., Erlich, I., Hill, D., Hiskens, I., Kamwa, I., Pal, B., et al. (2021). Definition and classification of power system stability–revisited & extended. IEEE Transactions on Power Systems, 36: 3271–3281.

[25]

Zhang, N., Jia, H., Hou, Q., Zhang, Z., Xia, T., Cai, X., Wang, J. (2023). Data-driven security and stability rule in high renewable penetrated power system operation. Proceedings of the IEEE, 111: 788–805.

[26]

He, G., Lin, J., Sifuentes, F., Liu, X., Abhyankar, N., Phadke, A. (2020). Rapid cost decrease of renewables and storage accelerates the decarbonization of China’s power system. Nature Communications, 11: 2486.

[27]

Zhuo, Z., Zhang, N., Hou, Q., Du, E., Kang, C. (2022). Backcasting technical and policy targets for constructing low-carbon power systems. IEEE Transactions on Power Systems, 37: 4896–4911.

iEnergy
Pages 7-11
Cite this article:
Kang C, Zhang Z, Wei H, et al. Power system decarbonization pathway of China. iEnergy, 2024, 3(1): 7-11. https://doi.org/10.23919/IEN.2024.0007

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Received: 07 March 2024
Revised: 24 March 2024
Accepted: 28 March 2024
Published: 31 March 2024
© The author(s) 2024.

This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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