Decision tree assisted controlled islanding for preventing cascading events

Ruisheng Diao, Vijay Vittal, Kai Sun, Sharma Kolluri, S. Mandal, F. Galvan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

49 Scopus citations

Abstract

At stressed operating conditions, critical contingencies can initiate loss of synchronism and trigger cascading events. Controlled islanding is the last line of defense to stabilize the whole system. This paper presents a decision tree assisted scheme to determine the timing of controlled islanding in real time by using phasor measurements. In addition, a slow coherency based approach is used to determine where to island. This scheme is tested on the operational model of the Entergy system and a severe N-2 outage case is used to demonstrate the phenomenon of cascading events due to protective relay actions. The results show that training one decision tree only for a specified critical contingency that can potentially cause cascading events can yields high prediction accuracy. Being aware of loss of synchronism in real time, operators can implement controlled islanding at carefully designed transmission interfaces and rapidly stabilize each island. Thus a significant amount of load is still served compared to uncontrolled system islanding.

Original languageEnglish (US)
Title of host publication2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009
DOIs
StatePublished - Sep 22 2009
Event2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009 - Seattle, WA, United States
Duration: Mar 15 2009Mar 18 2009

Publication series

Name2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009

Other

Other2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009
Country/TerritoryUnited States
CitySeattle, WA
Period3/15/093/18/09

Keywords

  • Controlled islanding
  • Decision trees
  • Load shedding
  • Phasor measurement units
  • Protective relays
  • System islanding
  • Transient stability prediction

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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