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Two-Layer Optimization Model for Virtual Power Plants Participating in Node-Based Spot Market

In: Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)

Author

Listed:
  • Zheng Zhao

    (State Grid Energy Research Institute Co., Ltd)

  • Shijun Tian

    (State Grid Energy Research Institute Co., Ltd)

  • Chenghui Tang

    (State Grid Energy Research Institute Co., Ltd)

Abstract

Virtual power plants (VPP) can aggregate decentralized resources that are small in scale and lack the ability to optimize management, and follow the market price to enhance the flexible regulating ability of the system. At present, there are few cases of virtual power plants participating in the market in China, and the relevant rules are still in the process of improvement. After the large-scale development of virtual power plants, they face the situation where the same power plant resources are distributed at different nodes and exhibit different operating characteristics. In this study, a two-layer coordination optimization model for multi-types of VPPs to participate in the node-based spot market is proposed, and simulation cases verified the effectiveness of the method, which is able to improve the interaction ability between virtual power plants and the power grid, and optimize market operating costs and efficiency.

Suggested Citation

  • Zheng Zhao & Shijun Tian & Chenghui Tang, 2024. "Two-Layer Optimization Model for Virtual Power Plants Participating in Node-Based Spot Market," Advances in Economics, Business and Management Research, in: Suhaiza Hanim Binti Dato Mohamad Zailani & Kosga Yagapparaj & Norhayati Zakuan (ed.), Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), pages 1379-1388, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-256-9_139
    DOI: 10.2991/978-94-6463-256-9_139
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