DocumentCode :
3611545
Title :
Fault modelling and detection in power generation, transmission and distribution systems
Author :
Ali, Asghar ; Khan, Abdul Qayyum ; Hussain, Babar ; Raza, Muhammad Taskeen ; Arif, Muhammad
Author_Institution :
Dept. of Electr. Eng., Pakistan Inst. of Eng. & Appl. Sci., Islamabad, Pakistan
Volume :
9
Issue :
16
fYear :
2015
Firstpage :
2782
Lastpage :
2791
Abstract :
The study discusses a model-based fault diagnosis scheme for detection of faults in power systems. The fault models in power generating units (PGUs) and transmission and distribution networks (T&DN) have been derived in state space form. An observer-based fault detection filter (FDF) has been used to detect these faults. Observer-based FDF is used because of its simplicity, reliability and ease of implementation. A single machine infinite bus power system is considered wherein a synchronous generator is connected to a T&DN through a bus system. Actuator and sensor faults in PGU, and symmetric faults in T&DN have been modelled and simulated in Matlab/Simulink. The simulation results show that a fault, whenever occurs in the aforementioned parts of power systems, is detected using the knowledge of the faults models proposed in this work.
Keywords :
electric actuators; fault diagnosis; observers; power distribution faults; power distribution reliability; power filters; power generation faults; power generation reliability; power transmission faults; power transmission reliability; synchronous generators; PGU reliability; actuator fault; fault diagnosis scheme; observer-based FDF; observer-based fault detection filter; power T&DN; power distribution system fault detection model; power generating unit; power generation system fault detection model; power transmission and distribution network; power transmission system fault detection model; sensor fault; single machine infinite bus power system; synchronous generator;
fLanguage :
English
Journal_Title :
Generation, Transmission Distribution, IET
Publisher :
iet
ISSN :
1751-8687
Type :
jour
DOI :
10.1049/iet-gtd.2014.1023
Filename :
7337607
Link To Document :
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