Paper
6 February 2024 Research on the differentiated self-healing control technology of distribution network considering the impact of weather and equipment operation risk
Zhenqi Tang, Xinna Fang, Hang Cui, Jie Zhu
Author Affiliations +
Proceedings Volume 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023); 129796A (2024) https://doi.org/10.1117/12.3015970
Event: 9th International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 2023, Guilin, China
Abstract
The distribution network is an important infrastructure to ensure the safe and reliable supply of power energy. Whether the operation of distribution network equipment is safe and reliable is very important for the operation and development of power grid enterprises. Therefore, it is of great significance to carry out research on differentiated self-healing control technology of distribution network equipment and further improve the efficiency and quality of fault management of distribution network equipment. This paper provides a self-healing control technology based on the difference between the equipment failure probability and the operation risk of the power grid, fully considering the weather impact, the equipment failure probability and the operation risk of the power grid and adopts the difference self-healing control to ensure the economic and reliable operation of the power grid without the load rejection as far as possible.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zhenqi Tang, Xinna Fang, Hang Cui, and Jie Zhu "Research on the differentiated self-healing control technology of distribution network considering the impact of weather and equipment operation risk", Proc. SPIE 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 129796A (6 February 2024); https://doi.org/10.1117/12.3015970
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KEYWORDS
Failure analysis

Power grids

Switches

Instrument modeling

Data modeling

Circuit switching

Transformers

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