Fast response method of power supply resources based on simulated annealing algorithm

Yan Yu; Wenting Zhu; Daojing Huang; Qian Wang; Mengqing Xiao; Peiying Li

doi:10.1117/12.3026630

9 February 2024 Fast response method of power supply resources based on simulated annealing algorithm

Yan Yu, Wenting Zhu, Daojing Huang, Qian Wang, Mengqing Xiao, Peiying Li

Proceedings Volume 13073, Third International Conference on High Performance Computing and Communication Engineering (HPCCE 2023); 1307311 (2024) https://doi.org/10.1117/12.3026630
Event: Third International Conference on High Performance Computing and Communication Engineering (HPCCE 2023), 2023, Changsha, China

Abstract

Demand response has developed into one of the important contents of power supply system. In order to realize rapid response of power supply resources and promote efficient utilization of power resources, a rapid response method of power supply resources based on simulated annealing algorithm is proposed. Through simulated annealing algorithm, considering the constraints of power supply resources, the single-period response behavior and multi-period response behavior of power system are analyzed. The potential characteristics of power supply resources are extracted by combining the characteristic samples with the potential grade; Based on the effective value characteristics of the task and based on the time characteristics of the task, the rapid response of power supply resources is realized. The experimental results show that the response task completion rate of the proposed method is 95.7%. Under normal data and abnormal data, the best fitness can be achieved when the number of iterations is 40. It is proved that the proposed method has high efficiency and data adaptability when dealing with tasks, which can better ensure the completion and response of tasks and further improve the stability and adaptability of power supply system in order to meet the growing energy demand.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yan Yu, Wenting Zhu, Daojing Huang, Qian Wang, Mengqing Xiao, and Peiying Li "Fast response method of power supply resources based on simulated annealing algorithm", Proc. SPIE 13073, Third International Conference on High Performance Computing and Communication Engineering (HPCCE 2023), 1307311 (9 February 2024); https://doi.org/10.1117/12.3026630

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KEYWORDS

Power supplies

Algorithms

Mathematical optimization

Feature extraction

Education and training

Emergency preparedness

Reliability

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