A hybrid method for generator tripping

George G. Karady; Jun Gu

doi:10.1109/TPWRS.2002.805014

A hybrid method for generator tripping

George G. Karady, Jun Gu

Electrical, Computer, and Energy Engineering, School of (IAFSE-ECEE)

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

58 Scopus citations

Abstract

Generator tripping is one of the most effective approaches to enhance the transient stability of a power system. In this paper, an online prediction method of transient stability and an offline analysis method of generator tripping are studied respectively. First, a polynomial curve fitting technique is employed to improve the online prediction accuracy of system stability. Then, a shell program is developed to automatically generate and update look-up tables for generator tripping. Based on these, a hybrid method is proposed. It uses the look-up tables to determine generator tripping requirements and before sending out generator tripping signals, instability is confirmed by online prediction of system stability. Simulation results show that this hybrid method can avoid unnecessary generation shedding.

Original language	English (US)
Pages (from-to)	1102-1107
Number of pages	6
Journal	IEEE Transactions on Power Systems
Volume	17
Issue number	4
DOIs	https://doi.org/10.1109/TPWRS.2002.805014
State	Published - Nov 2002

Keywords

Curve fitting
Generator tripping
Offline look-up table
Online stability prediction

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

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10.1109/TPWRS.2002.805014

Cite this

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title = "A hybrid method for generator tripping",

abstract = "Generator tripping is one of the most effective approaches to enhance the transient stability of a power system. In this paper, an online prediction method of transient stability and an offline analysis method of generator tripping are studied respectively. First, a polynomial curve fitting technique is employed to improve the online prediction accuracy of system stability. Then, a shell program is developed to automatically generate and update look-up tables for generator tripping. Based on these, a hybrid method is proposed. It uses the look-up tables to determine generator tripping requirements and before sending out generator tripping signals, instability is confirmed by online prediction of system stability. Simulation results show that this hybrid method can avoid unnecessary generation shedding.",

keywords = "Curve fitting, Generator tripping, Offline look-up table, Online stability prediction",

author = "Karady, {George G.} and Jun Gu",

note = "Funding Information: Manuscript received July 25, 2001. This work was supported by the EPRI/DoD Complex Interactive Networks/Systems Initiative. The authors are with the Department of Electrical Engineering, Arizona State University, Tempe, AZ 85287 USA (e-mail: karady@asu.edu; e-mail: jun.gu@asu.edu). Digital Object Identifier 10.1109/TPWRS.2002.805014",

year = "2002",

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language = "English (US)",

volume = "17",

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journal = "IEEE Transactions on Power Systems",

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T1 - A hybrid method for generator tripping

AU - Karady, George G.

AU - Gu, Jun

N1 - Funding Information: Manuscript received July 25, 2001. This work was supported by the EPRI/DoD Complex Interactive Networks/Systems Initiative. The authors are with the Department of Electrical Engineering, Arizona State University, Tempe, AZ 85287 USA (e-mail: karady@asu.edu; e-mail: jun.gu@asu.edu). Digital Object Identifier 10.1109/TPWRS.2002.805014

PY - 2002/11

Y1 - 2002/11

N2 - Generator tripping is one of the most effective approaches to enhance the transient stability of a power system. In this paper, an online prediction method of transient stability and an offline analysis method of generator tripping are studied respectively. First, a polynomial curve fitting technique is employed to improve the online prediction accuracy of system stability. Then, a shell program is developed to automatically generate and update look-up tables for generator tripping. Based on these, a hybrid method is proposed. It uses the look-up tables to determine generator tripping requirements and before sending out generator tripping signals, instability is confirmed by online prediction of system stability. Simulation results show that this hybrid method can avoid unnecessary generation shedding.

AB - Generator tripping is one of the most effective approaches to enhance the transient stability of a power system. In this paper, an online prediction method of transient stability and an offline analysis method of generator tripping are studied respectively. First, a polynomial curve fitting technique is employed to improve the online prediction accuracy of system stability. Then, a shell program is developed to automatically generate and update look-up tables for generator tripping. Based on these, a hybrid method is proposed. It uses the look-up tables to determine generator tripping requirements and before sending out generator tripping signals, instability is confirmed by online prediction of system stability. Simulation results show that this hybrid method can avoid unnecessary generation shedding.

KW - Curve fitting

KW - Generator tripping

KW - Offline look-up table

KW - Online stability prediction

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A hybrid method for generator tripping

Abstract

Keywords

ASJC Scopus subject areas

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