Abstract
Identification and control of nonlinear systems depend on the availability and quality of sensor measurements. Measurements can be corrupted or interrupted due to sensor failure, broken or bad connections, bad communication, or malfunction of some hardware or software (referred to as missing sensor measurements in this paper). This paper proposes a novel fault-tolerant indirect adaptive neurocontroller (FTIANC) for controlling a static synchronous series compensator (SSSC), which is connected to a power network. the FTIANC consists of a sensor evaluation and (missing sensor) restoration scheme (SERS), a radial basis function neuroidentifier (RBFNI), and a radial basis function neurocontroller (RBFNC). the SERS provides a set of fault-tolerant measurements to the RBFNI and RBFNC. the resulting FTIANC is able to provide fault-tolerant effective control to the SSSC when some crucial time-varying sensor measurements are not available. Simulation studies are carried out on a single machine infinite bus (SMIB) as well as on the IEEE 10-machine 39-bus power system, for the SSSC equipped with conventional PI controllers (CONVC) and the FTIANC without any missing sensors, as well as for the FTIANC with multiple missing sensors. Results show that the transient performances of the proposed FTIANC with and without missing sensors are both superior to the CONVC used by the SSSC (without any missing sensors) over a wide range of system operating conditions. the proposed fault-tolerant control is readily applicable to other plant models in power systems. © 2008 IEEE.
Recommended Citation
W. Qiao et al., "Fault-Tolerant Indirect Adaptive Neurocontrol for a Static Synchronous Series Compensator in a Power Network with Missing Sensor Measurements," IEEE Transactions on Neural Networks, vol. 19, no. 7, pp. 1179 - 1195, Institute of Electrical and Electronics Engineers, Jul 2008.
The definitive version is available at https://doi.org/10.1109/TNN.2008.2000164
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Fault-tolerant neurocontrol; Missing sensor restoration; Particle swarm optimization; Radial basis function (RBF) network; Static synchronous series compensator (SSSC)
International Standard Serial Number (ISSN)
1045-9227
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Jul 2008
Comments
National Science Foundation, Grant ECS # 0524183