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Practice Exploration and Prospect Analysis of Virtual Power Plant in Shanghai

In: Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)

Author

Listed:
  • Jianli Zhao

    (State Grid Shanghai Municipal Electric Power Company)

  • Jia’ni Xiang

    (State Grid Shanghai Municipal Electric Power Company)

  • Zhuofan Tang

    (State Grid Shanghai Municipal Electric Power Company)

  • Lei Qi

    (Shanghai Jiaotong University, School of Electric Information and Electrical Engineering)

  • Qian Ai

    (Shanghai Jiaotong University, School of Electric Information and Electrical Engineering)

  • Di Wang

    (Shanghai Jiaotong University, School of Electric Information and Electrical Engineering)

  • Shuangrui Yin

    (Shanghai Jiaotong University, School of Electric Information and Electrical Engineering)

Abstract

Under the background of new power system construction, Shanghai power grid is faced with problems such as high pressure of new energy consumption and lack of flexible adjustment means. Therefore, Shanghai Electric Power Company carried out the demonstration project of virtual power plant, explored innovative applications in the field of virtual power plant, and realized the leap from theory to technology. First of all, according to the technical route of “Resource exploration - Market transaction - Operation dispatching”, this paper introduced the preliminary exploration work and innovative application of Shanghai virtual power plants. Subsequently, Construction mode of Shanghai virtual power plants was promoted. Finally, this paper looks forward to the development prospects of Shanghai virtual power plants from three aspects: distributed resource expansion, diversified market transactions, and cloud edge collaborative control.

Suggested Citation

  • Jianli Zhao & Jia’ni Xiang & Zhuofan Tang & Lei Qi & Qian Ai & Di Wang & Shuangrui Yin, 2023. "Practice Exploration and Prospect Analysis of Virtual Power Plant in Shanghai," Advances in Economics, Business and Management Research, in: Seifedine Kadry & Yingchen Yan & Junjie Xia (ed.), Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022), pages 678-688, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-124-1_77
    DOI: 10.2991/978-94-6463-124-1_77
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