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

Zheng Zhao (), Shijun Tian and Chenghui Tang
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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

A chapter in Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), 2024, pp 1379-1388 from Springer

Abstract: 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.

Keywords: virtual power plants; spot market (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-256-9_139

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