Research on optimization strategy of main network maintenance scheduling based on regional power demand

Fei Huang; Guoming Luo; Xiaotong Chen; Yanbo Yi

doi:10.1117/12.3024673

13 May 2024 Research on optimization strategy of main network maintenance scheduling based on regional power demand

Fei Huang, Guoming Luo, Xiaotong Chen, Yanbo Yi

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131597E (2024) https://doi.org/10.1117/12.3024673
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

In order to regulate and control the operation state of the main network efficiently and stably, this paper puts forward the research on the optimization strategy of the main network maintenance scheduling based on the regional power demand. According to the three time scales of day before, rolling in the day and real-time, the main network is divided into three time periods for optimal scheduling, and an optimization framework of main network scheduling under regional power demand is constructed. On this basis, the operation data of the main network are normalized, and the maintenance scheduling optimization process of the main network is constructed to realize the maintenance scheduling optimization of the main network. The experimental results show that after optimization, the comprehensive risk index of each test equipment is obviously improved, and the optimization strategy of main network maintenance scheduling has good results.

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

Citation Download Citation

Fei Huang, Guoming Luo, Xiaotong Chen, and Yanbo Yi "Research on optimization strategy of main network maintenance scheduling based on regional power demand", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131597E (13 May 2024); https://doi.org/10.1117/12.3024673

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