DocumentCode :
804265
Title :
Decision Tree Assisted Controlled Islanding
Author :
Senroy, Nilanjan ; Heydt, Gerald T. ; Vittal, Vijay
Author_Institution :
Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ
Volume :
21
Issue :
4
fYear :
2006
Firstpage :
1790
Lastpage :
1797
Abstract :
Controlled islanding refers to the controlled separation of an interconnected power system into electrically isolated regions. The objective of this paper is to develop adaptive controlled islanding as a component of an emergency power system control strategy. There are two primary aspects of controlled islanding: 1) where to island and 2) when to island? Assisted by a decision tree (DT) approach, this paper seeks to address the "when to island" aspect. A decision tree based tool is proposed to recognize conditions existing in the system that warrant controlled islanding. A 29-generator, 179-bus system is employed to demonstrate the tool. Simulation data are used to train DTs, and the online performance of DTs is then evaluated as part of a controlled islanding strategy
Keywords :
decision trees; distributed power generation; power system control; power system interconnection; adaptive control; decision tree; emergency power system control; islanding control; power system interconnection; Control systems; Decision trees; Machine learning; Power system dynamics; Power system interconnection; Power system protection; Power system relaying; Power system reliability; Power system stability; Protective relaying; Controlled islanding; R-Rdot relay; decision tree; machine learning; power system stability; self healing; special protection systems;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2006.882470
Filename :
1717583
Link To Document :
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