학술논문
Safety Early Warning of Live Operation of Distribution network Based on State Identification
Document Type
Conference
Author
Source
2022 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS) ICITBS Intelligent Transportation, Big Data & Smart City (ICITBS), 2022 International Conference on. :742-746 Mar, 2022
Subject
Language
ISSN
2770-0593
Abstract
In order to improve the identification performance of distribution network operation state and weak link identification, through the in-depth analysis of distribution network operation state data with weak link positioning ability, this paper obtains the data model required for the research, and constructs different analysis templates to check the weak link factors under normal production and operation state. The experimental results show that under the same operating conditions, the positioning error studied by this method is 0.2 lower than that in the literature. When the identification time is 5 days, the positioning error studied by this method is 0.2 lower than that in the literature, and the method is close to zero.