Open AccessControl on Abnormal Data Overflow of Distribution Network Management Platform
Author(s) -
Bo Li,
Ruifeng Zhao,
Jiangang Lu,
Weisi Guo,
Liu Yang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1748/3/032064
Subject(s) - computer science , control (management) , network management , computer network , artificial intelligence
A large amount of system operation and equipment status data in current power systems are recorded and stored in text form, and text analysis has become an important basis for power system operation analysis. However, the current research still lacks relevant experience in applying it to the disposal of abnormal data spills in power grids. Therefore, the text-oriented data mining is first introduced in the paper to explain its basic concepts and implementation processes. Then, combining text grid-related data abnormal spillover requirements, text analysis and decision-making methods are proposed. Finally, considering actual development and application situation, the implementation benefits are analyzed. The experiment proves that the data abnormal overflow control technology studied in the paper can effectively guarantee the normal operation of the system.