IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i18p4806-d1745841.html

Research on the Security Scenario Simulation and Evolution Path of China’s Power System Based on the SWITCH-China Model

Author

Listed:
  • Qin Wang

    (Energy Development Research Institute, China Southern Power Grid, Guangzhou 510663, China)

  • Lang Tang

    (Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China)

  • Yuanzhe Zhu

    (Energy Development Research Institute, China Southern Power Grid, Guangzhou 510663, China)

  • Jincan Zeng

    (Energy Development Research Institute, China Southern Power Grid, Guangzhou 510663, China)

  • Xi Liu

    (Energy Development Research Institute, China Southern Power Grid, Guangzhou 510663, China)

  • Rongfeng Deng

    (Energy Development Research Institute, China Southern Power Grid, Guangzhou 510663, China)

  • Binghao He

    (Energy Development Research Institute, China Southern Power Grid, Guangzhou 510663, China)

  • Guori Huang

    (Energy Development Research Institute, China Southern Power Grid, Guangzhou 510663, China)

  • Minwei Liu

    (Planning & Reaserch Center for Power Grid, Yunnan Power Grid Corp., Kunming 650011, China)

  • Peng Wang

    (Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China)

Abstract

Accelerated climate warming has led to the frequent occurrence of extreme weather events, resulting in high-frequency, large-scale, and highly destructive power outages and electricity shortages, which serve as a wake-up call for the safe and stable operation of the power system. To predict safety risks, this study constructs a baseline scenario and five power security scenarios based on the SWITCH-China model, systematically assessing the impact of external shocks on the power system’s evolution path and carbon reduction economics. The results indicate that external shocks are the key factors influencing the power system’s installed capacity structure and generation mix. The increase in demand forces the substitution of non-fossil energy. In the demand growth scenario, by 2060, wind and solar installed capacity will be 1.034 billion kilowatts higher than in the baseline scenario. Rising fuel costs will accelerate the exit of fossil fuel units. In the fuel cost increase scenario, 765 million kilowatts of coal power were reduced cumulatively across three time points. Wind and solar outages, along with transmission failures, lead to significant local economic investments while also causing inter-provincial carbon transfer. In the wind and solar outage scenario, provinces with a high proportion of wind and solar, such as Guangdong and Guizhou, see an increase in carbon emissions of 31 million tons and 8 million tons, respectively. Conversely, provinces with a lower proportion of wind and solar, such as Inner Mongolia and Xinjiang, reduce carbon emissions by 46 million tons and 39 million tons, respectively. Energy storage development supports the expansion of non-fossil energy in the power system. The study recommends accelerating wind and solar deployment, building a storage system at the scale of hundreds of billions of kilowatt-hours, and optimizing the inter-provincial transmission network to address the dual challenges of power security and carbon neutrality.

Suggested Citation

  • Qin Wang & Lang Tang & Yuanzhe Zhu & Jincan Zeng & Xi Liu & Rongfeng Deng & Binghao He & Guori Huang & Minwei Liu & Peng Wang, 2025. "Research on the Security Scenario Simulation and Evolution Path of China’s Power System Based on the SWITCH-China Model," Energies, MDPI, vol. 18(18), pages 1-22, September.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:18:p:4806-:d:1745841
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/18/4806/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/18/4806/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tian, Xuelin & An, Chunjiang & Chen, Zhikun, 2023. "The role of clean energy in achieving decarbonization of electricity generation, transportation, and heating sectors by 2050: A meta-analysis review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    2. 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.
    3. Zhang, Shixu & Li, Yaowang & Du, Ershun & Fan, Chuan & Wu, Zhenlong & Yao, Yong & Liu, Lurao & Zhang, Ning, 2023. "A review and outlook on cloud energy storage: An aggregated and shared utilizing method of energy storage system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
    4. Lin, Jiang & Abhyankar, Nikit & He, Gang & Liu, Xu & Yin, Shengfei, 2022. "Large balancing areas and dispersed renewable investment enhance grid flexibility in a renewable-dominant power system in China," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt9nx1r0fx, Department of Agricultural & Resource Economics, UC Berkeley.
    5. Lau, Chi Keung & Soliman, Alaa M. & Albasu, Joseph & Gozgor, Giray, 2023. "Dependence structures among geopolitical risks, energy prices, and carbon emissions prices," Resources Policy, Elsevier, vol. 83(C).
    6. Ohba, Masamichi & Kanno, Yuki & Bando, Shigeru, 2023. "Effects of meteorological and climatological factors on extremely high residual load and possible future changes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
    7. Qi, Ye & Lu, Jiaqi & Liu, Tianle, 2024. "Measuring energy transition away from fossil fuels: A new index," Renewable and Sustainable Energy Reviews, Elsevier, vol. 200(C).
    8. Zhang, Jiawei & Wang, Jiaxin & Zhang, Ning & Wang, Peng & Wang, Yating & Fang, Chen, 2024. "Droop coefficient placements for grid-side energy storage considering nodal frequency constraints under large disturbances," Applied Energy, Elsevier, vol. 357(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shi, Changfeng & Zhi, Jiaqi & Yao, Xiao & Zhang, Hong & Yu, Yue & Zeng, Qingshun & Li, Luji & Zhang, Yuxi, 2023. "How can China achieve the 2030 carbon peak goal—a crossover analysis based on low-carbon economics and deep learning," Energy, Elsevier, vol. 269(C).
    2. Li, Xi & Yu, Biying, 2019. "Peaking CO2 emissions for China's urban passenger transport sector," Energy Policy, Elsevier, vol. 133(C).
    3. Park, Joungho & Kang, Sungho & Kim, Sunwoo & Kim, Hana & Cho, Hyun-Seok & Lee, Changsoo & Kim, MinJoong & Lee, Jay H., 2025. "The impact of degradation on the economics of green hydrogen," Renewable and Sustainable Energy Reviews, Elsevier, vol. 213(C).
    4. Sun, Xiaohang & Duan, Haiyan & Song, Junnian & Zheng, Heran & Yang, Wei & Mi, Zhifu, 2024. "Carbon peaking trajectory links to development of a coupled urbanization-industrialization-energy system," Energy, Elsevier, vol. 309(C).
    5. Naeem, Muhammad Abubakr & Arfaoui, Nadia, 2023. "Exploring downside risk dependence across energy markets: Electricity, conventional energy, carbon, and clean energy during episodes of market crises," Energy Economics, Elsevier, vol. 127(PB).
    6. Jia, Min & Zhang, Zhe & Zhang, Li & Zhao, Liang & Lu, Xinbo & Li, Linyan & Ruan, Jianhui & Wu, Yunlong & He, Zhuoming & Liu, Mei & Jiang, Lingling & Gao, Yajing & Wu, Pengcheng & Zhu, Shuying & Niu, M, 2024. "Optimization of electricity generation and assessment of provincial grid emission factors from 2020 to 2060 in China," Applied Energy, Elsevier, vol. 373(C).
    7. Chen, Yuanbo & Zheng, Kedi & Feng, Cheng & Huang, Junling & Guo, Hongye & Zhong, Haiwang, 2025. "Optimal grid-forming BESS management incorporating internal battery physics," Applied Energy, Elsevier, vol. 385(C).
    8. Shu, Ying & Hossain, Mohammad Razib & Tillaguango, Brayan & Alvarado, Rafael & Işık, Cem & Murshed, Muntasir & Chen, Zhiguang, 2024. "Geo-political risks, uncertainty, financial development, renewable energy, and carbon intensity: Empirical evidence from countries at high geo-political risks," Applied Energy, Elsevier, vol. 376(PB).
    9. Yuanying Chi & Wenbing Zhou & Songlin Tang & Yu Hu, 2022. "Driving Factors of CO 2 Emissions in China’s Power Industry: Relative Importance Analysis Based on Spatial Durbin Model," Energies, MDPI, vol. 15(7), pages 1-15, April.
    10. Cui, Qi & He, Ling & Han, Guoyi & Chen, Hao & Cao, Juanjuan, 2020. "Review on climate and water resource implications of reducing renewable power curtailment in China: A nexus perspective," Applied Energy, Elsevier, vol. 267(C).
    11. Lei, Heng & Xue, Minggao & Ye, Jing, 2024. "The nexus between ReFi, carbon, fossil energy, and clean energy assets: Quantile time–frequency connectedness and portfolio implications," Energy Economics, Elsevier, vol. 132(C).
    12. Zhang, Yun-Long & Liu, Lan-Cui & Kang, Jia-Ning & Peng, Song & Mi, Zhifu & Liao, Hua & Wei, Yi-Ming, 2024. "Economic feasibility assessment of coal-biomass co-firing power generation technology," Energy, Elsevier, vol. 296(C).
    13. Bai, Mo & Wang, Weixuan & Li, Zhigang, 2024. "Private enterprises solution for fossil fuels transition: Role of ESG and carbon reporting," Resources Policy, Elsevier, vol. 99(C).
    14. Su, Xiaomei & Razi, Ummara & Zhao, Shangmei & Li, Wei & Gu, Xiao & Yan, Jiale, 2025. "Geopolitical risk and energy markets in China," International Review of Financial Analysis, Elsevier, vol. 103(C).
    15. Lu, Binbin & Dong, Jintao & Wang, Chun & Sun, Huabo & Yao, Hongyu, 2024. "High-resolution spatio-temporal estimation of CO2 emissions from China's civil aviation industry," Applied Energy, Elsevier, vol. 373(C).
    16. SHANG, Yunfeng & XIA, Zhongwei & XIAO, Zhongyi & SHUM, Wai Yan, 2024. "An analysis of the time-lag effect of global geopolitical risk on business cycle based on visibility graph technique," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    17. Halkos, George E. & Aslanidis, Panagiotis – Stavros C., 2023. "Sustainable energy development in an era of geopolitical multi-crisis. Applying productivity indices within institutional framework," Resources Policy, Elsevier, vol. 85(PB).
    18. Zhang, Ce & Hou, Beiran & Li, Minxia & Dang, Chaobin & Chen, Xun & Li, Xiuming & Han, Zongwei, 2025. "Feasibility analysis of multi-mode data center liquid cooling system integrated with Carnot battery energy storage module," Energy, Elsevier, vol. 320(C).
    19. Lu, Qing & Fang, Huaxin, 2024. "Promoting low-carbon development in Yangtze River Delta area in China through the lens of decarbonization of industrial gas producers: A case study based on evolutionary game and Lotka-Volterra models," Technological Forecasting and Social Change, Elsevier, vol. 207(C).
    20. Shaobin Zhang & Hao Ji & Maoxi Tian & Binyao Wang, 2025. "High-dimensional nonlinear dependence and risk spillovers analysis between China’s carbon market and its major influence factors," Annals of Operations Research, Springer, vol. 345(2), pages 831-860, February.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:18:y:2025:i:18:p:4806-:d:1745841. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.