IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i17p10473-d895222.html
   My bibliography  Save this article

Research on Coupled Cooperative Operation of Medium- and Long-Term and Spot Electricity Transaction for Multi-Energy System: A Case Study in China

Author

Listed:
  • Kaiyan Wang

    (College of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China
    Shaanxi Union Research Center of Xi’an University of Technology and Enterprise for Electrical Power & Integrated Energy, Xi’an University of Technology, Xi’an 710048, China)

  • Xueyan Wang

    (College of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China
    Shaanxi Union Research Center of Xi’an University of Technology and Enterprise for Electrical Power & Integrated Energy, Xi’an University of Technology, Xi’an 710048, China)

  • Rong Jia

    (College of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China
    Shaanxi Union Research Center of Xi’an University of Technology and Enterprise for Electrical Power & Integrated Energy, Xi’an University of Technology, Xi’an 710048, China)

  • Jian Dang

    (College of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China
    Shaanxi Union Research Center of Xi’an University of Technology and Enterprise for Electrical Power & Integrated Energy, Xi’an University of Technology, Xi’an 710048, China)

  • Yan Liang

    (College of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China
    Shaanxi Union Research Center of Xi’an University of Technology and Enterprise for Electrical Power & Integrated Energy, Xi’an University of Technology, Xi’an 710048, China)

  • Haodong Du

    (College of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China
    Shaanxi Union Research Center of Xi’an University of Technology and Enterprise for Electrical Power & Integrated Energy, Xi’an University of Technology, Xi’an 710048, China)

Abstract

Due to the intermittent and anti-peak shaving characteristics of the new energy generator sets, the phenomenon of power abandonment hinders direct participation in the electricity market transactions. The hybrid electricity market can use spot market transactions to absorb renewable energy to a large extent. The multi-energy complementary operation coupling of the hybrid electricity market transactions can exploit the complementation and substitution between different energy sources, realize flexible energy production, consumption, storage, and transmission, and optimize the allocation of resources on a larger scale. In this paper, a mid-long-term spot transaction coordination scheduling (MTCS) model for a multi-energy system is constructed by considering the medium- and long-term electricity market uncertainty and the trial operation characteristics of the spot power market in China. A two-stage solution method is introduced to solve the complex multi-agent, multi-period, and multi-energy model. The results of testing this model on the Gansu region, one of the first eight spot pilot areas in China, are presented and discussed in detail. The results showed that this MTCS model could reduce the opening of thermal power units to a more considerable extent, prioritize the consumption of new energy power generation, and reduce the output uncertainty of new energy through the hybrid power market.

Suggested Citation

  • Kaiyan Wang & Xueyan Wang & Rong Jia & Jian Dang & Yan Liang & Haodong Du, 2022. "Research on Coupled Cooperative Operation of Medium- and Long-Term and Spot Electricity Transaction for Multi-Energy System: A Case Study in China," Sustainability, MDPI, vol. 14(17), pages 1-20, August.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:17:p:10473-:d:895222
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/17/10473/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/17/10473/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Huang, Shoujun & Abedinia, Oveis, 2021. "Investigation in economic analysis of microgrids based on renewable energy uncertainty and demand response in the electricity market," Energy, Elsevier, vol. 225(C).
    2. Djørup, Søren & Thellufsen, Jakob Zinck & Sorknæs, Peter, 2018. "The electricity market in a renewable energy system," Energy, Elsevier, vol. 162(C), pages 148-157.
    3. Goudarzi, Arman & Swanson, Andrew G. & Van Coller, John & Siano, Pierluigi, 2017. "Smart real-time scheduling of generating units in an electricity market considering environmental aspects and physical constraints of generators," Applied Energy, Elsevier, vol. 189(C), pages 667-696.
    4. Scott, Ian J. & Carvalho, Pedro M.S. & Botterud, Audun & Silva, Carlos A., 2021. "Long-term uncertainties in generation expansion planning: Implications for electricity market modelling and policy," Energy, Elsevier, vol. 227(C).
    5. Dynge, Marthe Fogstad & Crespo del Granado, Pedro & Hashemipour, Naser & Korpås, Magnus, 2021. "Impact of local electricity markets and peer-to-peer trading on low-voltage grid operations," Applied Energy, Elsevier, vol. 301(C).
    6. Zarnikau, J. & Tsai, C.H. & Woo, C.K., 2020. "Determinants of the wholesale prices of energy and ancillary services in the U.S. Midcontinent electricity market," Energy, Elsevier, vol. 195(C).
    7. Martins, Jason & Miles, John, 2021. "A techno-economic assessment of battery business models in the UK electricity market," Energy Policy, Elsevier, vol. 148(PB).
    8. Liu, Shuangquan & Xie, Mengfei, 2020. "Modeling the daily generation schedules in under-developed electricity markets with high-share renewables: A case study of Yunnan in China," Energy, Elsevier, vol. 201(C).
    9. Song, Yazhi & Liu, Tiansen & Ye, Bin & Li, Yin, 2020. "Linking carbon market and electricity market for promoting the grid parity of photovoltaic electricity in China," Energy, Elsevier, vol. 211(C).
    10. Guo, Hongye & Davidson, Michael R. & Chen, Qixin & Zhang, Da & Jiang, Nan & Xia, Qing & Kang, Chongqing & Zhang, Xiliang, 2020. "Power market reform in China: Motivations, progress, and recommendations," Energy Policy, Elsevier, vol. 145(C).
    11. Hasankhani, Arezoo & Hakimi, Seyed Mehdi, 2021. "Stochastic energy management of smart microgrid with intermittent renewable energy resources in electricity market," Energy, Elsevier, vol. 219(C).
    12. Bhatia, Kushagra & Mittal, Rajat & Varanasi, Jyothi & Tripathi, M.M., 2021. "An ensemble approach for electricity price forecasting in markets with renewable energy resources," Utilities Policy, Elsevier, vol. 70(C).
    13. 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.
    14. Xiaoyu Shi & Xuewen Lei & Qiang Huang & Shengzhi Huang & Kun Ren & Yuanyuan Hu, 2018. "Hourly Day-Ahead Wind Power Prediction Using the Hybrid Model of Variational Model Decomposition and Long Short-Term Memory," Energies, MDPI, vol. 11(11), pages 1-20, November.
    15. 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.
    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. 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).
    2. Hasankhani, Arezoo & Hakimi, Seyed Mehdi, 2021. "Stochastic energy management of smart microgrid with intermittent renewable energy resources in electricity market," Energy, Elsevier, vol. 219(C).
    3. Yin, Linfei & Qiu, Yao, 2022. "Long-term price guidance mechanism of flexible energy service providers based on stochastic differential methods," Energy, Elsevier, vol. 238(PB).
    4. Li, Mingquan & Gao, Huiwen & Abdulla, Ahmed & Shan, Rui & Gao, Shuo, 2022. "Combined effects of carbon pricing and power market reform on CO2 emissions reduction in China's electricity sector," Energy, Elsevier, vol. 257(C).
    5. Guannan Wang & Juan Meng & Bin Mo, 2023. "Dynamic Volatility Spillover Effects and Portfolio Strategies among Crude Oil, Gold, and Chinese Electricity Companies," Mathematics, MDPI, vol. 11(4), pages 1-25, February.
    6. Shuangquan Liu & Yanxuan Huang & Yue Wang & Qizhuan Shao & Han Zhou & Jinwen Wang & Cheng Chen, 2023. "Incentive Mechanisms to Integrate More Renewable Energy in Electricity Markets in China," Energies, MDPI, vol. 16(18), pages 1-16, September.
    7. Liu, Yang & Jiang, Zhigao & Guo, Bowei, 2022. "Assessing China’s provincial electricity spot market pilot operations: Lessons from Guangdong province," Energy Policy, Elsevier, vol. 164(C).
    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. Lin, Wen-Ting & Chen, Guo & Zhou, Xiaojun, 2022. "Distributed carbon-aware energy trading of virtual power plant under denial of service attacks: A passivity-based neurodynamic approach," Energy, Elsevier, vol. 257(C).
    10. Jun Dong & Dongran Liu & Xihao Dou & Bo Li & Shiyao Lv & Yuzheng Jiang & Tongtao Ma, 2021. "Key Issues and Technical Applications in the Study of Power Markets as the System Adapts to the New Power System in China," Sustainability, MDPI, vol. 13(23), pages 1-29, December.
    11. Feng Liu & Yihang Wei & Yu Du & Tao Lv, 2022. "Mechanism and Influencing Factors of Low-Carbon Coal Power Transition under China’s Carbon Trading Scheme: An Evolutionary Game Analysis," IJERPH, MDPI, vol. 20(1), pages 1-15, December.
    12. Jia, Zhijie & Lin, Boqiang & Wen, Shiyan, 2022. "Electricity market Reform: The perspective of price regulation and carbon neutrality," Applied Energy, Elsevier, vol. 328(C).
    13. Cui, Jian & Song, Feng & Jiang, Zhigao, 2023. "Efficiency vs. equity as China's national carbon market meets provincial electricity markets," China Economic Review, Elsevier, vol. 78(C).
    14. Li, Jianglong & Ho, Mun Sing & Xie, Chunping & Stern, Nicholas, 2022. "China's flexibility challenge in achieving carbon neutrality by 2060," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    15. Liu, Tingting & Xu, Jiuping, 2021. "Equilibrium strategy based policy shifts towards the integration of wind power in spot electricity markets: A perspective from China," Energy Policy, Elsevier, vol. 157(C).
    16. Zhang, Alex Hongliang & Sirin, Selahattin Murat & Fan, Conglai & Bu, Maoliang, 2022. "An analysis of the factors driving utility-scale solar PV investments in China: How effective was the feed-in tariff policy?," Energy Policy, Elsevier, vol. 167(C).
    17. Fatras, Nicolas & Ma, Zheng & Duan, Hongbo & Jørgensen, Bo Nørregaard, 2022. "A systematic review of electricity market liberalisation and its alignment with industrial consumer participation: A comparison between the Nordics and China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    18. Liu, Tingting & Chen, Zhe & Xu, Jiuping, 2022. "Empirical evidence based effectiveness assessment of policy regimes for wind power development in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).
    19. Zhu, Yanlei & Song, Yan & Yuan, Jiahai, 2021. "Structural distortion and the shortage of peak-load power resources in China: A screening curve approach and case study of Shandong Province," Utilities Policy, Elsevier, vol. 70(C).
    20. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).

    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:jsusta:v:14:y:2022:i:17:p:10473-:d:895222. 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 (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.