Abstract
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. ©2009 IEEE.
Recommended Citation
W. Qiao et al., "Missing-sensor-fault-tolerant Control for SSSC FACTS Device with Real-time Implementation," 2009 IEEE Power and Energy Society General Meeting, PES '09, article no. 5275371, Institute of Electrical and Electronics Engineers, Dec 2009.
The definitive version is available at https://doi.org/10.1109/PES.2009.5275371
Department(s)
Electrical and Computer Engineering
International Standard Book Number (ISBN)
978-142444241-6
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
17 Dec 2009
