TY - JOUR
T1 - Developing and Testing Model Predictive Control to Minimize Ground Potentials in Transformerless Interconnected Five-Level Power Electronic Converters
AU - Saleh, S. A.
AU - Ahshan, Razzaqul
AU - Al-Durra, Ahmed
N1 - Funding Information:
Manuscript received February 13, 2021; accepted March 21, 2021. Date of publication May 11, 2021; date of current version July 16, 2021. The work in this paper was supported in part by a Discovery grant-Natural Sciences and Engineering Research Council of Canada (NSERC), for Dr. S. A. Saleh Paper 2021-PSPC-0125, presented at the 2021 IEEE/IAS 57th Industrial and Commercial Power Systems Technical Conference, Las Vegas, NV, USA, Apr. 27–30, and approved for publication in the IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS by the Power Systems Protection Committee of the IEEE Industry Applications Society. (Corresponding author: S. A. Saleh.) S. A. Saleh is with the Department of Electrical and Computer Engineering, University of New Brunswick, Fredericton, NB E3B 5A3, Canada (e-mail: asaleh@unb.ca).
Publisher Copyright:
© 1972-2012 IEEE.
PY - 2021/7/1
Y1 - 2021/7/1
N2 - This article presents the implementation and performance evaluation of a model predictive control (MPC) for three-phase ($3\phi$) transformerless interconnected five-level power electronic converters (PECs). The proposed MPC employs a discrete-time model of five-level PECs to predict future values of the grid-injected currents and ground potential. Predicted values of the grid-injected currents and ground potential are used to set the reference signals to minimize a cost function, which is formulated in terms of the command and actual values of grid-injected current and ground potential. The proposed MPC is implemented for transformerless interconnected diode-clamped and flying-capacitor five-level PECs under different conditions. Test results show that the developed MPC can operate transformerless interconnected PECs to ensure accurate, dynamic, and fast responses to changes in the power delivered to the host grid. Furthermore, the MPC demonstrates a good ability to minimize ground potentials during steady state and step changes in the power delivered to the host grid.
AB - This article presents the implementation and performance evaluation of a model predictive control (MPC) for three-phase ($3\phi$) transformerless interconnected five-level power electronic converters (PECs). The proposed MPC employs a discrete-time model of five-level PECs to predict future values of the grid-injected currents and ground potential. Predicted values of the grid-injected currents and ground potential are used to set the reference signals to minimize a cost function, which is formulated in terms of the command and actual values of grid-injected current and ground potential. The proposed MPC is implemented for transformerless interconnected diode-clamped and flying-capacitor five-level PECs under different conditions. Test results show that the developed MPC can operate transformerless interconnected PECs to ensure accurate, dynamic, and fast responses to changes in the power delivered to the host grid. Furthermore, the MPC demonstrates a good ability to minimize ground potentials during steady state and step changes in the power delivered to the host grid.
KW - Multilevel power electronic converters (ML-PECs)
KW - ground potentials
KW - model predictive control (MPC)
KW - power system grounding
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U2 - 10.1109/TIA.2021.3079380
DO - 10.1109/TIA.2021.3079380
M3 - Article
AN - SCOPUS:85105890391
SN - 0093-9994
VL - 57
SP - 3500
EP - 3510
JO - IEEE Transactions on Industry Applications
JF - IEEE Transactions on Industry Applications
IS - 4
M1 - 9428582
ER -