A theoretical diagnosis approach applied to a power transmission system

G. K. Fourlas; K. J. Kyriakopoulos; N. J. Krikelis

doi:10.1109/cdc.2004.1429547

A theoretical diagnosis approach applied to a power transmission system

G. K. Fourlas, K. J. Kyriakopoulos, N. J. Krikelis

Electrical Engineering

Research output: Contribution to journal › Conference article › peer-review

Abstract

Fault detection and isolation is a challenging task in the control of large scale complex systems. In this work we proceed to the fault diagnosis of an electric power transmission system based on a fault diagnosis of hybrid systems method presented in our previous work. Power systems often exhibit complex behavior in response to large disturbances. Such behavior is characterized by interactions between continuous dynamics and discrete events. Components such as loads drive the continuous dynamics, while other components such as protection devices exhibit event-driven discrete dynamics. Therefore, power systems constitute an important case of hybrid systems for fault detection.

Original language	English (US)
Article number	FrB06.4
Pages (from-to)	4788-4793
Number of pages	6
Journal	Proceedings of the IEEE Conference on Decision and Control
Volume	5
DOIs	https://doi.org/10.1109/cdc.2004.1429547
State	Published - 2004
Event	2004 43rd IEEE Conference on Decision and Control (CDC) - Nassau, Bahamas Duration: Dec 14 2004 → Dec 17 2004

ASJC Scopus subject areas

Control and Systems Engineering
Modeling and Simulation
Control and Optimization

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title = "A theoretical diagnosis approach applied to a power transmission system",

abstract = "Fault detection and isolation is a challenging task in the control of large scale complex systems. In this work we proceed to the fault diagnosis of an electric power transmission system based on a fault diagnosis of hybrid systems method presented in our previous work. Power systems often exhibit complex behavior in response to large disturbances. Such behavior is characterized by interactions between continuous dynamics and discrete events. Components such as loads drive the continuous dynamics, while other components such as protection devices exhibit event-driven discrete dynamics. Therefore, power systems constitute an important case of hybrid systems for fault detection.",

author = "Fourlas, {G. K.} and Kyriakopoulos, {K. J.} and Krikelis, {N. J.}",

year = "2004",

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journal = "Proceedings of the IEEE Conference on Decision and Control",

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note = "2004 43rd IEEE Conference on Decision and Control (CDC) ; Conference date: 14-12-2004 Through 17-12-2004",

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AU - Kyriakopoulos, K. J.

AU - Krikelis, N. J.

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Y1 - 2004

N2 - Fault detection and isolation is a challenging task in the control of large scale complex systems. In this work we proceed to the fault diagnosis of an electric power transmission system based on a fault diagnosis of hybrid systems method presented in our previous work. Power systems often exhibit complex behavior in response to large disturbances. Such behavior is characterized by interactions between continuous dynamics and discrete events. Components such as loads drive the continuous dynamics, while other components such as protection devices exhibit event-driven discrete dynamics. Therefore, power systems constitute an important case of hybrid systems for fault detection.

AB - Fault detection and isolation is a challenging task in the control of large scale complex systems. In this work we proceed to the fault diagnosis of an electric power transmission system based on a fault diagnosis of hybrid systems method presented in our previous work. Power systems often exhibit complex behavior in response to large disturbances. Such behavior is characterized by interactions between continuous dynamics and discrete events. Components such as loads drive the continuous dynamics, while other components such as protection devices exhibit event-driven discrete dynamics. Therefore, power systems constitute an important case of hybrid systems for fault detection.

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JO - Proceedings of the IEEE Conference on Decision and Control

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Y2 - 14 December 2004 through 17 December 2004

ER -

A theoretical diagnosis approach applied to a power transmission system

Abstract

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