DocumentCode :
1579456
Title :
Missing-sensor-fault-tolerant control for SSSC facts device with real-time implementation
Author :
Qiao, Wei ; Venayagamoorthy, Ganesh ; Harley, Ronald
Author_Institution :
Univ. of Nebraska - Lincoln, Lincoln, NE, USA
fYear :
2009
Firstpage :
1
Lastpage :
1
Abstract :
Summary form only given. Control of power systems relies on the availability and quality of sensor measurements. However, measurements are inevitably subjected to faults caused by sensor failure, broken or bad connections, bad communication, or malfunction of some hardware or software. These faults in turn may cause the failure of power system controllers and consequently severe contingencies in the power system. To avoid such contingencies, this paper presents a sensor evaluation and (missing sensor) restoration scheme (SERS) by using auto-associative neural networks (auto-encoders) and particle swarm optimization (PSO). Based on the SERS, a missing-sensor-fault-tolerant control (MSFTC) is developed for controlling a static synchronous series compensator (SSSC) connected to a power network. This MSFTC improves the reliability, maintainability and survivability of the SSSC and the power network. The effectiveness of the MSFTC is demonstrated by a real-time implementation of an SSSC connected to the IEEE 10-machine 39-bus system on the real time digital simulator (RTDS) and TMS320C6701 digital signal processor platform. The proposed fault-tolerant control can be readily applied to many existing controllers in power systems.
Keywords :
electrical engineering computing; fault tolerance; flexible AC transmission systems; neural nets; particle swarm optimisation; power system control; power system faults; power system reliability; sensors; static VAr compensators; SSSC FACTS device; TMS320C6701 digital signal processor platform; autoassociative neural networks; flexible AC transmission systems; missing-sensor-fault-tolerant control; particle swarm optimization; power network; power system contingencies; power system control; real time digital simulator; reliability; restoration scheme; sensor evaluation; sensor measurement quality; static synchronous series compensator; Communication system control; Control systems; Power system control; Power system faults; Power system measurements; Power system restoration; Power system simulation; Power systems; Real time systems; Sensor systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power & Energy Society General Meeting, 2009. PES '09. IEEE
Conference_Location :
Calgary, AB
ISSN :
1944-9925
Print_ISBN :
978-1-4244-4241-6
Type :
conf
DOI :
10.1109/PES.2009.5275371
Filename :
5275371
Link To Document :
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