An Effective Transformerless PUC7-Based Dynamic Voltage Restorer Using Model Predictive Control

Mohamed Trabelsi (), Hasan Komurcugil, Sertac Bayhan () and Haitham Abu-Rub
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Mohamed Trabelsi: Electronics and Communications Engineering Department, Kuwait College of Science and Technology, Kuwait City P.O. Box 27235, Kuwait
Hasan Komurcugil: Department of Computer Engineering, Eastern Mediterranean University, Via Mersin 10, Famagusta 999043, Turkey
Sertac Bayhan: Qatar Environment and Energy Research Institute, Hamad Bin Khalifa University, Doha P.O. Box 34110, Qatar
Haitham Abu-Rub: Department of Electrical and Computer Engineering, Texas A&M University at Qatar, Qatar Foundation, Doha P.O. Box 23874, Qatar

Sustainability, 2023, vol. 15, issue 4, 1-12

Abstract: This paper investigates the performance of a seven-level Packed U Cell (PUC7) inverter-based transformerless Dynamic Voltage Restorer (DVR) topology under short-time voltage variations (voltage sags and swells). Unlike the existing multilevel inverter (MLI)-based DVR solutions, the proposed structure requires only one DC voltage source (suitable for PV-based DVR systems), one capacitor, and six switching devices to generate seven-level output voltage. Moreover, the studied topology is characterized by reduced cost and size due to the elimination of the injection transformer. The PUC7 inverter is controlled using a multi-objective (filtering current, compensating voltage, and PUC capacitor voltage controls) Model Predictive Control (MPC) strategy. Simulation and implementation tests are carried out to demonstrate the high performance of the proposed DVR at steady-state and during transient conditions, while keeping the load voltage unaffected by the disturbances in the grid voltage.

Keywords: PUC; dynamic voltage restorer; DVR; model predictive control; grid voltage variation; voltage support (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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