Research on distributed load regulation optimization based on artificial intelligence

Yang Wang; Xiaohong Chu; Yanbin Chen; Xue Long

doi:10.1117/12.2680828

23 May 2023 Research on distributed load regulation optimization based on artificial intelligence

Yang Wang, Xiaohong Chu, Yanbin Chen, Xue Long

Proceedings Volume 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023); 1264540 (2023) https://doi.org/10.1117/12.2680828
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 2023, Hangzhou, China

Abstract

In the power system, load regulation refers to maintaining the stability and optimal operation of the system by adjusting the power consumption. Traditional load control methods usually rely on manual analysis and decision-making and have many limitations and shortcomings. This paper proposes a load regulation method based on AI agent and constructs the implementation framework of AI agent and cloud platform cooperation. In this paper, the concept and background of AI under intelligent power consumption are briefly described. Secondly, a stochastic forest algorithm based on time-domain feature expansion is proposed to realize the evaluation and analysis of load operation status and provide a basis for decision-making of load regulation. Carry out data analysis and calculation on the cloud platform based on the evaluation results to achieve accurate load control. Finally, the simulation experiment verifies that the distributed load regulation optimization method based on artificial intelligence can effectively solve the problem of power system load regulation.

Citation Download Citation

Yang Wang, Xiaohong Chu, Yanbin Chen, and Xue Long "Research on distributed load regulation optimization based on artificial intelligence", Proc. SPIE 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 1264540 (23 May 2023); https://doi.org/10.1117/12.2680828

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