Decision tree assisted controlled islanding

Nilanjan Senroy; Gerald T. Heydt; Vijay Vittal

doi:10.1109/TPWRS.2006.882470

Decision tree assisted controlled islanding

Nilanjan Senroy, Gerald T. Heydt, Vijay Vittal

Research output: Contribution to journal › Article › peer-review

172 Scopus citations

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.

Original language	English (US)
Pages (from-to)	1790-1797
Number of pages	8
Journal	IEEE Transactions on Power Systems
Volume	21
Issue number	4
DOIs	https://doi.org/10.1109/TPWRS.2006.882470
State	Published - Nov 2006

Keywords

Controlled islanding
Decision tree
Machine learning
Power system stability
R-Rdot relay
Self healing
Special protection systems

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

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10.1109/TPWRS.2006.882470

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@article{017d25df329a482781f2415de4435035,

title = "Decision tree assisted controlled islanding",

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 = "Controlled islanding, Decision tree, Machine learning, Power system stability, R-Rdot relay, Self healing, Special protection systems",

author = "Nilanjan Senroy and Heydt, {Gerald T.} and Vijay Vittal",

note = "Funding Information: The authors acknowledge the support of the Power Systems Engineering Research Center (PSERC). Funding Information: Manuscript received March 28, 2006; revised May 18, 2006. This work was supported by the National Science Foundation through Grant NSF EEC-9908690 and by the DOE through a CERTS project at the Power System Engineering Research Center. Paper no. TPWRS-00171-2006.",

year = "2006",

month = nov,

doi = "10.1109/TPWRS.2006.882470",

language = "English (US)",

volume = "21",

pages = "1790--1797",

journal = "IEEE Transactions on Power Systems",

issn = "0885-8950",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "4",

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T1 - Decision tree assisted controlled islanding

AU - Senroy, Nilanjan

AU - Heydt, Gerald T.

AU - Vittal, Vijay

N1 - Funding Information: The authors acknowledge the support of the Power Systems Engineering Research Center (PSERC). Funding Information: Manuscript received March 28, 2006; revised May 18, 2006. This work was supported by the National Science Foundation through Grant NSF EEC-9908690 and by the DOE through a CERTS project at the Power System Engineering Research Center. Paper no. TPWRS-00171-2006.

PY - 2006/11

Y1 - 2006/11

N2 - 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.

AB - 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.

KW - Controlled islanding

KW - Decision tree

KW - Machine learning

KW - Power system stability

KW - R-Rdot relay

KW - Self healing

KW - Special protection systems

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SN - 0885-8950

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EP - 1797

JO - IEEE Transactions on Power Systems

JF - IEEE Transactions on Power Systems

IS - 4

ER -

Decision tree assisted controlled islanding

Abstract

Keywords

ASJC Scopus subject areas

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