Paper
25 April 2023 Pre-training model of bidding strategy for pumped storage power plant based on intelligent agent
Min Wei, Lei Chen, Yan Luo, Lei Wang, Sainan Li, Xiwen Wu
Author Affiliations +
Proceedings Volume 12598, Eighth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2022); 1259814 (2023) https://doi.org/10.1117/12.2673141
Event: Eighth International Conference on Energy Materials and Electrical Engineering (ICMEE 2022), 2022, Guangzhou, China
Abstract
Pumped storage power station has the characteristics of fast and flexible start-up and shutdown and has a unique and good effect of peak cutting and valley filling. However, with the promotion of power spot market, the utilization rate of pumped storage power station is low, the market income cannot be locked, and the pumping storage power station is difficult to maintain economic operation. The independent decision operation of pumping storage power plants is an inevitable trend. At present, the research on the decision scheme of pumping storage power plants participating in the electric power spot market fails to analyze the mutual influence of each main body of the market when making decisions and the variability of the market environment, and the results are local optimal solutions focusing on some factors. In this paper, a pre-training model of pumping storage unit bidding strategy based on intelligent agent is proposed to simulate the bidding behavior of pumped storage unit participating in electric quantity spot market, and an intelligent strategy scheme suitable for many typical scenarios is obtained, and the effectiveness of the proposed method is verified by an example.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Min Wei, Lei Chen, Yan Luo, Lei Wang, Sainan Li, and Xiwen Wu "Pre-training model of bidding strategy for pumped storage power plant based on intelligent agent", Proc. SPIE 12598, Eighth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2022), 1259814 (25 April 2023); https://doi.org/10.1117/12.2673141
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KEYWORDS
Data modeling

Strategic intelligence

Distributed interactive simulations

Mathematical optimization

Power grids

Decision making

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