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Medium and long-term electricity market trading strategy considering renewable portfolio standard in the transitional period of electricity market reform in Jiangsu, China

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  • Li, Tianyu
  • Gao, Ciwei
  • Chen, Tao
  • Jiang, Yu
  • Feng, Yingchun

Abstract

The Energy Consumption Guarantee Mechanism (ECGM) of renewable energy requires the prior consumption ratio of renewable energy, and regulates the proportion of renewable energy power in each province. The implementation of Renewable Portfolio Standard (RPS) will have a great impact on the energy portfolio management and trading strategy of electricity in the medium and long-term electricity market. Grid companies (or power exchange center), as the organizers of the medium and long-term market and the primary entities responsible for renewable energy consumption, need a set of scientific trading strategies for the overall scheduling of inter- and intra-provincial power exchange arrangements. Firstly, based on the medium and long-term power market trading rules of Jiangsu, China, this paper analyzes the risk of uncertainty in the power output of renewable energy, and introduces the optimization model into the cost of risk to schedule the consumption ratio of renewable energy in the province, namely arranging the amount of renewable and non-renewable energy electricity as well as that of electricity outside the province. Secondly, the risk levels and their response are determined, and the electricity arrangements inside and outside the province in the medium and long-term market are updated based on a time window rolling method and the proposed mechanism. Finally, illustrative cases are performed to verify the effectiveness of the model and to provide a reference for the organizers' decision-making of medium and long-term power exchange.

Suggested Citation

  • Li, Tianyu & Gao, Ciwei & Chen, Tao & Jiang, Yu & Feng, Yingchun, 2022. "Medium and long-term electricity market trading strategy considering renewable portfolio standard in the transitional period of electricity market reform in Jiangsu, China," Energy Economics, Elsevier, vol. 107(C).
    • Handle: RePEc:eee:eneeco:v:107:y:2022:i:c:s0140988322000445
    DOI: 10.1016/j.eneco.2022.105860
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    References listed on IDEAS

    as
    1. Wang, Ge & Zhang, Qi & Su, Bin & Shen, Bo & Li, Yan & Li, Zhengjun, 2021. "Coordination of tradable carbon emission permits market and renewable electricity certificates market in China," Energy Economics, Elsevier, vol. 93(C).
    2. Lin, Boqiang & Chen, Yufang, 2019. "Does electricity price matter for innovation in renewable energy technologies in China?," Energy Economics, Elsevier, vol. 78(C), pages 259-266.
    3. Wang, Hongye & Su, Bin & Mu, Hailin & Li, Nan & Gui, Shusen & Duan, Ye & Jiang, Bo & Kong, Xue, 2020. "Optimal way to achieve renewable portfolio standard policy goals from the electricity generation, transmission, and trading perspectives in southern China," Energy Policy, Elsevier, vol. 139(C).
    4. Croonenbroeck, Carsten & Stadtmann, Georg, 2019. "Renewable generation forecast studies – Review and good practice guidance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 312-322.
    5. Yu, Shiwei & Lu, Tingwei & Hu, Xing & Liu, Lancui & Wei, Yi-Ming, 2021. "Determinants of overcapacity in China’s renewable energy industry: Evidence from wind, photovoltaic, and biomass energy enterprises," Energy Economics, Elsevier, vol. 97(C).
    6. Inzunza, Andrés & Moreno, Rodrigo & Bernales, Alejandro & Rudnick, Hugh, 2016. "CVaR constrained planning of renewable generation with consideration of system inertial response, reserve services and demand participation," Energy Economics, Elsevier, vol. 59(C), pages 104-117.
    7. Zhu, Lei & Li, Li & Su, Bin, 2021. "The price-bidding strategy for investors in a renewable auction: An option games–based study," Energy Economics, Elsevier, vol. 100(C).
    8. Aslam, Sheraz & Herodotou, Herodotos & Mohsin, Syed Muhammad & Javaid, Nadeem & Ashraf, Nouman & Aslam, Shahzad, 2021. "A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    9. Liu, Hui & Chen, Chao, 2019. "Data processing strategies in wind energy forecasting models and applications: A comprehensive review," Applied Energy, Elsevier, vol. 249(C), pages 392-408.
    10. Lin, Jiang & Kahrl, Fredrich & Yuan, Jiahai & Liu, Xu & Zhang, Weirong, 2019. "Challenges and strategies for electricity market transition in China," Energy Policy, Elsevier, vol. 133(C).
    11. Du, Yimeng & Takeuchi, Kenji, 2020. "Does a small difference make a difference? Impact of feed-in tariff on renewable power generation in China," Energy Economics, Elsevier, vol. 87(C).
    12. Xu, Jie & Lv, Tao & Hou, Xiaoran & Deng, Xu & Liu, Feng, 2021. "Provincial allocation of renewable portfolio standard in China based on efficiency and fairness principles," Renewable Energy, Elsevier, vol. 179(C), pages 1233-1245.
    13. Fang, Debin & Zhao, Chaoyang & Kleit, Andrew N., 2019. "The impact of the under enforcement of RPS in China: An evolutionary approach," Energy Policy, Elsevier, vol. 135(C).
    14. 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).
    15. Wu, Jiekang & Wu, Zhijiang & Wu, Fan & Tang, Huiling & Mao, Xiaoming, 2018. "CVaR risk-based optimization framework for renewable energy management in distribution systems with DGs and EVs," Energy, Elsevier, vol. 143(C), pages 323-336.
    16. Li, Wei & Lu, Can & Zhang, Yan-Wu, 2019. "Prospective exploration of future renewable portfolio standard schemes in China via a multi-sector CGE model," Energy Policy, Elsevier, vol. 128(C), pages 45-56.
    17. Wang, Ge & Zhang, Qi & Li, Yan & Mclellan, Benjamin C. & Pan, Xunzhang, 2019. "Corrective regulations on renewable energy certificates trading: Pursuing an equity-efficiency trade-off," Energy Economics, Elsevier, vol. 80(C), pages 970-982.
    18. Liu, Xiaoran & Ronn, Ehud I., 2020. "Using the binomial model for the valuation of real options in computing optimal subsidies for Chinese renewable energy investments," Energy Economics, Elsevier, vol. 87(C).
    19. Widén, Joakim & Carpman, Nicole & Castellucci, Valeria & Lingfors, David & Olauson, Jon & Remouit, Flore & Bergkvist, Mikael & Grabbe, Mårten & Waters, Rafael, 2015. "Variability assessment and forecasting of renewables: A review for solar, wind, wave and tidal resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 356-375.
    20. Xuan, Ang & Shen, Xinwei & Guo, Qinglai & Sun, Hongbin, 2021. "A conditional value-at-risk based planning model for integrated energy system with energy storage and renewables," Applied Energy, Elsevier, vol. 294(C).
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