Fault modelling and detection in power generation, transmission and distribution systems

被引：9

作者：

Ali, Asghar ^{[1
]}

Khan, Abdul Qayyum ^{[1
]}

Hussain, Babar ^{[1
]}

Raza, Muhammad Taskeen ^{[1
]}

Arif, Muhammad ^{[1
]}

机构：

[1] Pakistan Inst Engn & Appl Sci, Dept Elect Engn, Islamabad, Pakistan

来源：

IET GENERATION TRANSMISSION & DISTRIBUTION | 2015年 / 9卷 / 16期

关键词：

power transmission faults; power distribution faults; power generation faults; fault diagnosis; power transmission reliability; power distribution reliability; power generation reliability; observers; power filters; synchronous generators; electric actuators; power generation system fault detection model; power transmission system fault detection model; power distribution system fault detection model; fault diagnosis scheme; power generating unit; PGU reliability; power transmission and distribution network; power T& DN; observer-based fault detection filter; observer-based FDF; synchronous generator; single machine infinite bus power system; sensor fault; actuator fault; INTER-TURN FAULTS; NEURAL-NETWORK; NONLINEAR-SYSTEMS; CLASSIFICATION; SIMULATION; PROTECTION; ALGORITHM; DIAGNOSIS; MOTORS; SCHEME;

D O I：

10.1049/iet-gtd.2014.1023

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：2782 / 2791

页数：10

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