Development and Application of State-Sensing Technology for Power Equipment
Authors: 
Wenjun Liu, Yuanfu Xu, Qiang Han, Yao Wang, Lei XuAuthors Info & Claims
Wenjun Liu, Yuanfu Xu, Qiang Han, Yao Wang, Lei XuAuthors Info & ClaimsPages 361 - 369
Abstract
With the increasing expansion of power grid scale, the research and application of artificial intelligence technology in the electrical field will further promote the profound transformation of power grid structure. Power equipment, as core elements of power grid, monitoring information has been quantification and discretization caused by the grid intelligent transformation. Therefore, it is urgent to deeply integrate artificial intelligence technology and take advantage of data driven to improve the perception ability of equipment running status, thereby promoting the utilization ratio of power equipment assets and ensuring safety and reliability of power grid. At present, the traditional equipment status evaluation cannot realize the efficient utilization of massive power data. In addition, the power data obtained by the current sensing technology still has problems such as errors and instability, which leads to the fact that the state perception effect of the power equipment cannot satisfy the development demand of the power grid. However, as a new solution, the introduction of the Internet of Things and big data analysis technology provide new technical support for the power equipment perception technology.
In this paper, the mature state perception technology and its application has been summarized. Furthermore, the corresponding parameter performance, advantages and disadvantages has been analyzed. Finally, the future development of state perception technology of power equipment is prospected according to the current situation of power grid.
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Published In
December 2020
687 pages
ISBN:9781450388665
DOI:10.1145/3452940
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Published: 17 May 2021
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ICITEE2020
ICITEE2020: The 3rd International Conference on Information Technologies and Electrical Engineering
December 3 - 5, 2020
Hunan, Changde City, China
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