Open AccessFault modelling and detection in power generation, transmission and distribution systems
Author(s) -
Ali Asghar,
Khan Abdul Qayyum,
Hussain Babar,
Raza Muhammad Taskeen,
Arif Muhammad
Publication year - 2015
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2014.1023
Subject(s) - fault (geology) , fault detection and isolation , fault indicator , matlab , electric power system , observer (physics) , computer science , control theory (sociology) , reliability (semiconductor) , power (physics) , actuator , control (management) , artificial intelligence , physics , quantum mechanics , seismology , geology , operating system
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.