Research on user demand response simulation of fused magnesium industry based on multi-agent modeling

Yanfeng Ge; Junci Tang; Huan He; Jing Xu; Xiangbo Zhu; Yilin Jia

doi:10.1117/12.2671473

21 March 2023 Research on user demand response simulation of fused magnesium industry based on multi-agent modeling

Yanfeng Ge, Junci Tang, Huan He, Jing Xu, Xiangbo Zhu, Yilin Jia

Proceedings Volume 12609, International Conference on Computer Application and Information Security (ICCAIS 2022); 1260920 (2023) https://doi.org/10.1117/12.2671473
Event: International Conference on Computer Application and Information Security (ICCAIS 2022), 2022, ONLINE, ONLINE

Abstract

Industrial users of fused magnesium have a certain demand response capability, which can provide flexible adjustment resources for high proportion of renewable energy power systems. In this paper, based on the analysis of the generation process and load characteristics of fused magnesium, a baseline load optimization calculation model for industrial users of fused magnesium was established with the goal of minimizing the electricity cost. On this basis, the demand response decision model of user agent for fused magnesium aiming at the minimum response cost and the power grid agent decision model aiming at tracking renewable energy power generation were constructed respectively, and a demand response analysis method of user for fused magnesium industry based on multi-agent modeling was proposed. Multiagent system simulation can provide necessary technical support for the formulation of demand response incentive measures and quantitative evaluation of the response capacity of users in the fused magnesium industry. A case study of an electromolten magnesium enterprise was carried out to verify the effectiveness of the proposed model and method.

Citation Download Citation

Yanfeng Ge, Junci Tang, Huan He, Jing Xu, Xiangbo Zhu, and Yilin Jia "Research on user demand response simulation of fused magnesium industry based on multi-agent modeling", Proc. SPIE 12609, International Conference on Computer Application and Information Security (ICCAIS 2022), 1260920 (21 March 2023); https://doi.org/10.1117/12.2671473

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