Low Complexity Model Predictive Control of PUC5 Based Dynamic Voltage Restorer

Mohamed Trabelsi, Hani Vahedi, Hasan Komurcugil, Haitham Abu-Rub, Kamal Al-Haddad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes the mitigation of grid voltage disturbances using a 5-level Packed U Cells (PUC5) based dynamic voltage restorer (DVR) solution. The proposed DVR is controlled by using a lower complexity multi-objective model predictive control (MPC) approach, which regulates the injection of the compensation voltage in series and synchronism with the grid during the voltage disturbance events, the auxiliary capacitor voltage, while controlling the PUC5 output current. For a similar problem (PUC7), the capacitor voltage constraint should be heavily considered in order to ensure proper and stable operation of the inverter. For the selected PUC5 structure, the existing redundant switching states offer more flexibility in synthetizing the output voltage levels leading to an optimized output performance. This lowers the complexity of the proposed MPC through extremely decreasing the priority of the capacitor voltage control. Theoretical analysis and simulation results are given to show the high performance of the proposed solution.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 27th International Symposium on Industrial Electronics, ISIE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages240-245
Number of pages6
Volume2018-June
ISBN (Print)9781538637050
DOIs
Publication statusPublished - 10 Aug 2018
Event27th IEEE International Symposium on Industrial Electronics, ISIE 2018 - Cairns, Australia
Duration: 13 Jun 201815 Jun 2018

Other

Other27th IEEE International Symposium on Industrial Electronics, ISIE 2018
CountryAustralia
CityCairns
Period13/6/1815/6/18

Fingerprint

Model predictive control
Electric potential
Capacitors
Voltage control
Synchronization

Keywords

  • Dynamic Voltage Restorer
  • Model Predicitve Control
  • Packed U Cells Inverter
  • Voltage Compensation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering

Cite this

Trabelsi, M., Vahedi, H., Komurcugil, H., Abu-Rub, H., & Al-Haddad, K. (2018). Low Complexity Model Predictive Control of PUC5 Based Dynamic Voltage Restorer. In Proceedings - 2018 IEEE 27th International Symposium on Industrial Electronics, ISIE 2018 (Vol. 2018-June, pp. 240-245). [8433616] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISIE.2018.8433616

Low Complexity Model Predictive Control of PUC5 Based Dynamic Voltage Restorer. / Trabelsi, Mohamed; Vahedi, Hani; Komurcugil, Hasan; Abu-Rub, Haitham; Al-Haddad, Kamal.

Proceedings - 2018 IEEE 27th International Symposium on Industrial Electronics, ISIE 2018. Vol. 2018-June Institute of Electrical and Electronics Engineers Inc., 2018. p. 240-245 8433616.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Trabelsi, M, Vahedi, H, Komurcugil, H, Abu-Rub, H & Al-Haddad, K 2018, Low Complexity Model Predictive Control of PUC5 Based Dynamic Voltage Restorer. in Proceedings - 2018 IEEE 27th International Symposium on Industrial Electronics, ISIE 2018. vol. 2018-June, 8433616, Institute of Electrical and Electronics Engineers Inc., pp. 240-245, 27th IEEE International Symposium on Industrial Electronics, ISIE 2018, Cairns, Australia, 13/6/18. https://doi.org/10.1109/ISIE.2018.8433616
Trabelsi M, Vahedi H, Komurcugil H, Abu-Rub H, Al-Haddad K. Low Complexity Model Predictive Control of PUC5 Based Dynamic Voltage Restorer. In Proceedings - 2018 IEEE 27th International Symposium on Industrial Electronics, ISIE 2018. Vol. 2018-June. Institute of Electrical and Electronics Engineers Inc. 2018. p. 240-245. 8433616 https://doi.org/10.1109/ISIE.2018.8433616
Trabelsi, Mohamed ; Vahedi, Hani ; Komurcugil, Hasan ; Abu-Rub, Haitham ; Al-Haddad, Kamal. / Low Complexity Model Predictive Control of PUC5 Based Dynamic Voltage Restorer. Proceedings - 2018 IEEE 27th International Symposium on Industrial Electronics, ISIE 2018. Vol. 2018-June Institute of Electrical and Electronics Engineers Inc., 2018. pp. 240-245
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