IDEAS home Printed from https://ideas.repec.org/p/enp/wpaper/eprg1819.html
   My bibliography  Save this paper

Economic dispatch in the electricity sector in China: potential benefits and challenges ahead

Author

Listed:
  • Hao Chen

    (Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing,China - School of Management and Economics, Beijing Institute of Technology, China - Collaborative Innovation Center of Electric Vehicles in Beijing, China -Bei)

  • Chi Kong Chyong

    (Energy Policy Research Group (EPRG), Cambridge Judge Business School, University of Cambridge)

  • Jia-Ning Kang

    (Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, China- School of Management and Economics, Beijing Institute of Technology, Beijing, China- Collaborative Innovation Center of Electric Vehicles in Beijing, Chi)

  • Yi-Ming Wei

    (Center for Energy and Environmental Policy Research, Beijing Institute of Technology, China- School of Management and Economics, Beijing Institute of Technology, China - Collaborative Innovation Center of Electric Vehicles in Beijing, China - Beijing Ke)

Abstract

Unlike the economic dispatch used in most power systems, electricity system dispatch currently used in China is an equal share approach. This form of dispatch has been criticized for its negative influence on system operations, worsening energy security, environmental sustainability and affordability problems. To contribute to on-going electricity market reform discussions, our study employs an optimization model to quantify the economic dispatch savings in the coal-fired power sector. We offer three major findings. First, the heat rates of coal generators in China in 2014 ranged from 273.91 gce/kWh to 348.38 gce/kWh units and as a result of these large differences among generators in different regions, implementing economic (merit order) dispatch will bring economic and environmental benefits. Second, we identify three major political and economic challenges, which hinder the transition from the current dispatch model, namely (i) current running hours are insufficient for cost recovery, (ii) limited cross-border trading due to electricity over-supply and local protectionism, and (iii) political economy problems from generators of different ownership types. Finally, 5.67% of coal used in power generation could be saved if economic dispatch was employed at the provincial level, the value of which equals 0.05% of Chinese GDP in 2014.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Hao Chen & Chi Kong Chyong & Jia-Ning Kang & Yi-Ming Wei, 2018. "Economic dispatch in the electricity sector in China: potential benefits and challenges ahead," Working Papers EPRG 1819, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
  • Handle: RePEc:enp:wpaper:eprg1819
    as

    Download full text from publisher

    File URL: https://www.jbs.cam.ac.uk/wp-content/uploads/2023/12/eprg-wp1819.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Pollitt, M. & Yang, C-H. & Chen, H., 2017. "Reforming the Chinese Electricity Supply Sector: Lessons from International Experience," Cambridge Working Papers in Economics 1713, Faculty of Economics, University of Cambridge.
    2. Chen, Hao & Tang, Bao-Jun & Liao, Hua & Wei, Yi-Ming, 2016. "A multi-period power generation planning model incorporating the non-carbon external costs: A case study of China," Applied Energy, Elsevier, vol. 183(C), pages 1333-1345.
    3. Lynch, Muireann Á. & Shortt, Aonghus & Tol, Richard S.J. & O'Malley, Mark J., 2013. "Risk–return incentives in liberalised electricity markets," Energy Economics, Elsevier, vol. 40(C), pages 598-608.
    4. Chattopadhyay, Deb, 2014. "Modelling renewable energy impact on the electricity market in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 9-22.
    5. Reddy, S. Surender & Bijwe, P.R., 2015. "Real time economic dispatch considering renewable energy resources," Renewable Energy, Elsevier, vol. 83(C), pages 1215-1226.
    6. Nikolakakis, Thomas & Chattopadhyay, Deb & Bazilian, Morgan, 2017. "A review of renewable investment and power system operational issues in Bangladesh," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 650-658.
    7. Bistline, John E., 2015. "Electric sector capacity planning under uncertainty: Climate policy and natural gas in the US," Energy Economics, Elsevier, vol. 51(C), pages 236-251.
    8. Oggioni, G. & Murphy, F.H. & Smeers, Y., 2014. "Evaluating the impacts of priority dispatch in the European electricity market," Energy Economics, Elsevier, vol. 42(C), pages 183-200.
    9. Ma, Chunbo & He, Lining, 2008. "From state monopoly to renewable portfolio: Restructuring China's electric utility," Energy Policy, Elsevier, vol. 36(5), pages 1697-1711, May.
    10. Kahrl, Fredrich & Williams, Jim & Jianhua, Ding & Junfeng, Hu, 2011. "Challenges to China's transition to a low carbon electricity system," Energy Policy, Elsevier, vol. 39(7), pages 4032-4041, July.
    11. Ciwei, Gao & Yang, Li, 2010. "Evolution of China's power dispatch principle and the new energy saving power dispatch policy," Energy Policy, Elsevier, vol. 38(11), pages 7346-7357, November.
    12. Tuohy, Aidan & Meibom, Peter & Denny, Eleanor & O'Malley, Mark, 2009. "Unit commitment for systems with significant wind penetration," MPRA Paper 34849, University Library of Munich, Germany.
    13. Moarefdoost, M. Mohsen & Lamadrid, Alberto J. & Zuluaga, Luis F., 2016. "A robust model for the ramp-constrained economic dispatch problem with uncertain renewable energy," Energy Economics, Elsevier, vol. 56(C), pages 310-325.
    14. Kahrl, Fredrich & Williams, James H. & Hu, Junfeng, 2013. "The political economy of electricity dispatch reform in China," Energy Policy, Elsevier, vol. 53(C), pages 361-369.
    15. OGGIONI, Giorgia & MURPHY, Frederic H. & SMEERS, Yves, 2014. "Evaluating the impacts of priority dispatch in the European electricity market," LIDAM Reprints CORE 2554, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    16. Zhao, Xiaoli & Wu, Longli & Zhang, Sufang, 2013. "Joint environmental and economic power dispatch considering wind power integration: Empirical analysis from Liaoning Province of China," Renewable Energy, Elsevier, vol. 52(C), pages 260-265.
    17. Zhong, Haiwang & Xia, Qing & Chen, Yuguo & Kang, Chongqing, 2015. "Energy-saving generation dispatch toward a sustainable electric power industry in China," Energy Policy, Elsevier, vol. 83(C), pages 14-25.
    18. Chen, Hao & Kang, Jia-Ning & Liao, Hua & Tang, Bao-Jun & Wei, Yi-Ming, 2017. "Costs and potentials of energy conservation in China's coal-fired power industry: A bottom-up approach considering price uncertainties," Energy Policy, Elsevier, vol. 104(C), pages 23-32.
    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. Wei, Yi-Ming & Chen, Hao & Chyong, Chi Kong & Kang, Jia-Ning & Liao, Hua & Tang, Bao-Jun, 2018. "Economic dispatch savings in the coal-fired power sector: An empirical study of China," Energy Economics, Elsevier, vol. 74(C), pages 330-342.
    2. Chen, Hao & Cui, Jian & Song, Feng & Jiang, Zhigao, 2022. "Evaluating the impacts of reforming and integrating China's electricity sector," Energy Economics, Elsevier, vol. 108(C).
    3. Chenxi Xiang & Xinye Zheng & Feng Song & Jiang Lin & Zhigao Jiang, 2023. "Assessing the roles of efficient market versus regulatory capture in China’s power market reform," Nature Energy, Nature, vol. 8(7), pages 747-757, July.
    4. Zhang, Yin-Fang & Gao, Ping, 2016. "Integrating environmental considerations into economic regulation of China's electricity sector," Utilities Policy, Elsevier, vol. 38(C), pages 62-71.
    5. Teng, Fei & Wang, Xin & Zhiqiang, LV, 2014. "Introducing the emissions trading system to China’s electricity sector: Challenges and opportunities," Energy Policy, Elsevier, vol. 75(C), pages 39-45.
    6. Hu, Junfeng & Kwok, Gabe & Xuan, Wang & Williams, James H. & Kahrl, Fredrich, 2013. "Using natural gas generation to improve power system efficiency in China," Energy Policy, Elsevier, vol. 60(C), pages 116-121.
    7. Chen, Hao & Geng, Hao-Peng & Ling, Hui-Ting & Peng, Song & Li, Nan & Yu, Shiwei & Wei, Yi-Ming, 2020. "Modeling the coal-to-gas switch potentials in the power sector: A case study of China," Energy, Elsevier, vol. 192(C).
    8. Lin, Jiang & Kahrl, Fredrich & Yuan, Jiahai & Chen, Qixin & Liu, Xu, 2019. "Economic and carbon emission impacts of electricity market transition in China: A case study of Guangdong Province," Applied Energy, Elsevier, vol. 238(C), pages 1093-1107.
    9. Li, Mingquan & Patiño-Echeverri, Dalia & Zhang, Junfeng (Jim), 2019. "Policies to promote energy efficiency and air emissions reductions in China's electric power generation sector during the 11th and 12th five-year plan periods: Achievements, remaining challenges, and ," Energy Policy, Elsevier, vol. 125(C), pages 429-444.
    10. Daraeepour, Ali & Patino-Echeverri, Dalia & Conejo, Antonio J., 2019. "Economic and environmental implications of different approaches to hedge against wind production uncertainty in two-settlement electricity markets: A PJM case study," Energy Economics, Elsevier, vol. 80(C), pages 336-354.
    11. 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).
    12. Zhang, Sufang & Andrews-Speed, Philip & Li, Sitao, 2018. "To what extent will China's ongoing electricity market reforms assist the integration of renewable energy?," Energy Policy, Elsevier, vol. 114(C), pages 165-172.
    13. Paul Simshauser & Farhad Billimoria & Craig Rogers, 2021. "Optimising VRE plant capacity in Renewable Energy Zones," Working Papers EPRG2121, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    14. Simshauser, Paul, 2021. "Renewable Energy Zones in Australia's National Electricity Market," Energy Economics, Elsevier, vol. 101(C).
    15. Jing-Ming Chen & Biying Yu & Yi-Ming Wei, 2019. "CO2 emissions accounting for the chemical industry: an empirical analysis for China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1327-1343, December.
    16. Morales, Juan M. & Pineda, Salvador, 2017. "On the inefficiency of the merit order in forward electricity markets with uncertain supply," European Journal of Operational Research, Elsevier, vol. 261(2), pages 789-799.
    17. Majid Al-Gwaiz & Xiuli Chao & Owen Q. Wu, 2017. "Understanding How Generation Flexibility and Renewable Energy Affect Power Market Competition," Manufacturing & Service Operations Management, INFORMS, vol. 19(1), pages 114-131, February.
    18. Kahrl, Fredrich & Williams, James H. & Hu, Junfeng, 2013. "The political economy of electricity dispatch reform in China," Energy Policy, Elsevier, vol. 53(C), pages 361-369.
    19. Simshauser, Paul & Billimoria, Farhad & Rogers, Craig, 2022. "Optimising VRE capacity in Renewable Energy Zones," Energy Economics, Elsevier, vol. 113(C).
    20. Cheng, Chuntian & Chen, Fu & Li, Gang & Ristić, Bora & Mirchi, Ali & Qiyu, Tu & Madani, Kaveh, 2018. "Reform and renewables in China: The architecture of Yunnan's hydropower dominated electricity market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 682-693.

    More about this item

    Keywords

    Economic dispatch; electricity; power markets; energy saving; China; coal; optimization model;
    All these keywords.

    JEL classification:

    • P28 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Natural Resources; Environment
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
    • L52 - Industrial Organization - - Regulation and Industrial Policy - - - Industrial Policy; Sectoral Planning Methods

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:enp:wpaper:eprg1819. 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: Ruth Newman (email available below). General contact details of provider: https://edirc.repec.org/data/jicamuk.html .

    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.