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Transaction decision optimization of new electricity market based on virtual power plant participation and Stackelberg game

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  • Jinpeng Yang

Abstract

This study intends to optimize the trading decision-making strategy of the new electricity market with virtual power plants and improve the transmission efficiency of electricity resources. The current problems in China’s power market are analyzed from the perspective of virtual power plants, highlighting the necessity of reforming the power industry. The generation scheduling strategy is optimized in light of the market transaction decision based on the elemental power contract to enhance the effective transfer of power resources in virtual power plants. Ultimately, value distribution is balanced through virtual power plants to maximize the economic benefits. After 4 hours of simulation, the experimental data shows that 75 MWh of electricity is generated by the thermal power system, 100 MWh by the wind power system, and 200 MWh by the dispatchable load system. Comparatively, the new electricity market transaction model based on the virtual power plant has an actual generation capacity of 250MWh. In addition, the daily load power of the models of thermal power generation, wind power generation, and virtual power plant reported here are compared and analyzed. For a 4-hour simulation run, the thermal power generation system can provide 600 MW of load power, the wind power generation system can provide 730 MW of load power, and the virtual power plant-based power generation system can provide up to 1200 MW of load power. Therefore, the power generation performance of the model reported here is better than other power models. This study can potentially encourage a revised transaction model for the power industry market.

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  • Jinpeng Yang, 2023. "Transaction decision optimization of new electricity market based on virtual power plant participation and Stackelberg game," PLOS ONE, Public Library of Science, vol. 18(4), pages 1-20, April.
    • Handle: RePEc:plo:pone00:0284030
    DOI: 10.1371/journal.pone.0284030
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    References listed on IDEAS

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    1. Yang, Qing & Wang, Hao & Wang, Taotao & Zhang, Shengli & Wu, Xiaoxiao & Wang, Hui, 2021. "Blockchain-based decentralized energy management platform for residential distributed energy resources in a virtual power plant," Applied Energy, Elsevier, vol. 294(C).
    2. Ovaere, Marten & Proost, Stef, 2022. "Cost-effective reduction of fossil energy use in the European transport sector: An assessment of the Fit for 55 Package," Energy Policy, Elsevier, vol. 168(C).
    3. Yu, Songyuan & Fang, Fang & Liu, Yajuan & Liu, Jizhen, 2019. "Uncertainties of virtual power plant: Problems and countermeasures," Applied Energy, Elsevier, vol. 239(C), pages 454-470.
    4. Xiangyu Li & Dongmei Zhao & Baicang Guo, 2018. "Decentralized and Collaborative Scheduling Approach for Active Distribution Network with Multiple Virtual Power Plants," Energies, MDPI, vol. 11(11), pages 1-18, November.
    5. Tomin, Nikita & Shakirov, Vladislav & Kozlov, Aleksander & Sidorov, Denis & Kurbatsky, Victor & Rehtanz, Christian & Lora, Electo E.S., 2022. "Design and optimal energy management of community microgrids with flexible renewable energy sources," Renewable Energy, Elsevier, vol. 183(C), pages 903-921.
    6. Ting Lu & Weige Zhang & Yunjia Wang & Hua Xie & Xiaowei Ding, 2022. "Medium- and Long-Term Trading Strategies for Large Electricity Retailers in China’s Electricity Market," Energies, MDPI, vol. 15(9), pages 1-30, May.
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