z-logo
open-access-imgOpen Access
Type Identification and Classification of Cascading Failures of Time Sections of Dispatching and Operation Based on Data Mining
Author(s) -
Junying Yue,
Cunbin Li
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/740/1/012137
Subject(s) - identification (biology) , reliability engineering , cascading failure , probabilistic logic , computer science , data mining , scale (ratio) , electric power system , engineering , power (physics) , artificial intelligence , botany , physics , quantum mechanics , biology
The probabilistic distribution of cascading outages is one of the main measures to describe the propagation of cascading outages, and to evaluate the risk of the large-scale outages of the power system. Based on the analysis of the basic principles of data mining, basic principles of dispatching and operation and basic types of cascading failures, this paper give the type identification, occurrence probability and severity degree of cascading failures to provide some references for the relative researchers.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here