Load aggregator game strategy based on double layer optimization

Runxin Chen; Ye Cai; Jialong Wu; Li Tang; Zhi Ning; Yang Chen

doi:10.1117/12.3010651

2 November 2023 Load aggregator game strategy based on double layer optimization

Runxin Chen, Ye Cai, Jialong Wu, Li Tang, Zhi Ning, Yang Chen

Proceedings Volume 12919, International Conference on Electronic Materials and Information Engineering (EMIE 2023); 129190T (2023) https://doi.org/10.1117/12.3010651
Event: 3rd International Conference on Electronic Materials and Information Engineering (EMIE 2023), 2023, Guangzhou,, China

Abstract

Load aggregators can aggregate user loads, achieve demand response, and relieve the pressure on the power grid. In view of the lack of scientificity in the selection of users in demand response work, the lack of full consideration of constraints such as power loss and user satisfaction, and the failure to optimize the interests of multiple participants, as well as the low response capacity, this paper establishes a game model of load aggregators based on two-level optimization, taking into account subsidy incentives. Among them, the upper layer model is a game model between load aggregators, and the lower layer is a clearing model based on system operators, which is solved using a diagonalization algorithm. On the basis of the above model, the potential of users participating in demand response is assessed, so that load aggregators can screen out high-quality users. Finally, the effectiveness and feasibility of the model and its solution method were verified through numerical simulation calculations.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Runxin Chen, Ye Cai, Jialong Wu, Li Tang, Zhi Ning, and Yang Chen "Load aggregator game strategy based on double layer optimization", Proc. SPIE 12919, International Conference on Electronic Materials and Information Engineering (EMIE 2023), 129190T (2 November 2023); https://doi.org/10.1117/12.3010651

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