<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Reliability of modern power systems, in particular those use wind and solar energies, is affected by the relatively short lifetime of the associated power electronic converters (PECs). Thermal stress has been identified as one of the commonest causes for failures in PECs. However, existing thermal monitoring systems are expensive, bulky and with no intelligent capabilities, which limit their full acceptance as monitoring and control tools in operational power plants. This work presents autonomous and inexpensive microcontroller-based system for monitoring and predicting thermal behaviour of switching devices used in PECs. System’s inputs are non-intrusively measured voltages and currents drawn by those devices while in operation. The developed system also determines lifetime consumption and has the ability to communicate with external monitoring and control systems e.g. supervisory, control and data acquisition (SCADA) platforms. The performance of the developed system was critically assessed and compared with high-resolution thermal imaging camera. Good agreement between both systems was achieved and the inexpensive developed system was found to have an accuracy of 95%.</p>
</abstract>

Reliability of modern power systems, in particular those use wind and solar energies, is affected by the relatively short lifetime of the associated power electronic converters (PECs). Thermal stress has been identified as one of the commonest causes for failures in PECs. However, existing thermal monitoring systems are expensive, bulky and with no intelligent capabilities, which limit their full acceptance as monitoring and control tools in operational power plants. This work presents autonomous and inexpensive microcontroller-based system for monitoring and predicting thermal behaviour of switching devices used in PECs. System’s inputs are non-intrusively measured voltages and currents drawn by those devices while in operation. The developed system also determines lifetime consumption and has the ability to communicate with external monitoring and control systems e.g. supervisory, control and data acquisition (SCADA) platforms. The performance of the developed system was critically assessed and compared with high-resolution thermal imaging camera. Good agreement between both systems was achieved and the inexpensive developed system was found to have an accuracy of 95%.

SMART SENSING SYSTEM FOR ENHANCEING THE RELIABILITY OF POWER ELECTRONIC DEVICES USED IN WIND TURBINES

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Reliability of modern power systems, in particular those use wind and solar energies, is affected by the relatively short lifetime of the associated power...

SMART SENSING SYSTEM FOR ENHANCEING THE RELIABILITY OF POWER ELECTRONIC DEVICES USED IN WIND TURBINES

Publié en ligne: 01 juin 2017

Pages: 1 - 18

Reçu: 02 févr. 2017

Accepté: 19 avr. 2017

DOI: https://doi.org/10.21307/ijssis-2017-218

Mots clés
Autonomous sensor, lifetime consumption analysis, online rainflow algorithm, dSPACE, finite element, IGBT temperature

© 2017 S. H. Teay et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

SMART SENSING SYSTEM FOR ENHANCEING THE RELIABILITY OF POWER ELECTRONIC DEVICES USED IN WIND TURBINES

Publié en ligne: 01 juin 2017

Pages: 1 - 18

Reçu: 02 févr. 2017

Accepté: 19 avr. 2017

DOI: https://doi.org/10.21307/ijssis-2017-218

Mots clésAutonomous sensor, lifetime consumption analysis, online rainflow algorithm, dSPACE, finite element, IGBT temperature

© 2017 S. H. Teay et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Mots clés
Autonomous sensor, lifetime consumption analysis, online rainflow algorithm, dSPACE, finite element, IGBT temperature