LAPSE:2023.14928
Published Article

LAPSE:2023.14928
Design and Control of Modular Multilevel Converter for Voltage Sag Mitigation
March 2, 2023
Abstract
Voltage sag in a power system is an unavoidable power quality issue, and it is also an urgent concern of sensitive industrial users. To ensure the power quality demand and economical operation of the power system, voltage sag management has always drawn great attention from researchers around the world. The latest research that realizes the power quality conditioning has used dynamic voltage restorers (DVRs), static VAR compensator (SVCs), adaptive neuro-fuzzy inference systems (ANFISs), and fuzzy logic controllers based on DVR to mitigate voltage sag. These devices, methods, and control strategies that have been recently used for voltage sag mitigation have some limitations, including high cost, increased complexity, and lower performance. This article proposes a novel, efficient, reliable, and cost-effective voltage sag mitigation scheme based on a modular multilevel converter (MMC) that ensures effective power delivery at nominal power under transient voltage conditions. The proposed method, the MMC, compensates for the energy loss caused by voltage sags using its internal energy storage of the submodules, and ensures reliable power delivery to the load distribution system. Furthermore, control strategies are developed for the MMC to control DC voltage, AC voltage, active power, and circulating current. Detailed system mathematical models of controllers are developed in the dual synchronous reference frame (DSRF). Validation of the results of back-to-back MMC for dynamic load distribution system is analyzed which proves the effectiveness of the proposed scheme for voltage sag mitigation.
Voltage sag in a power system is an unavoidable power quality issue, and it is also an urgent concern of sensitive industrial users. To ensure the power quality demand and economical operation of the power system, voltage sag management has always drawn great attention from researchers around the world. The latest research that realizes the power quality conditioning has used dynamic voltage restorers (DVRs), static VAR compensator (SVCs), adaptive neuro-fuzzy inference systems (ANFISs), and fuzzy logic controllers based on DVR to mitigate voltage sag. These devices, methods, and control strategies that have been recently used for voltage sag mitigation have some limitations, including high cost, increased complexity, and lower performance. This article proposes a novel, efficient, reliable, and cost-effective voltage sag mitigation scheme based on a modular multilevel converter (MMC) that ensures effective power delivery at nominal power under transient voltage conditions. The proposed method, the MMC, compensates for the energy loss caused by voltage sags using its internal energy storage of the submodules, and ensures reliable power delivery to the load distribution system. Furthermore, control strategies are developed for the MMC to control DC voltage, AC voltage, active power, and circulating current. Detailed system mathematical models of controllers are developed in the dual synchronous reference frame (DSRF). Validation of the results of back-to-back MMC for dynamic load distribution system is analyzed which proves the effectiveness of the proposed scheme for voltage sag mitigation.
Record ID
Keywords
circulating current suppression control (CCSC), dual synchronous reference frame (DSRF), dynamic load distribution, inner current controller (ICC), modular multilevel converter (MMC), proportional resonance controller (PRC), voltage sag mitigation (VSM)
Subject
Suggested Citation
Muhammad F, Rasheed H, Ali I, Alroobaea R, Binmahfoudh A. Design and Control of Modular Multilevel Converter for Voltage Sag Mitigation. (2023). LAPSE:2023.14928
Author Affiliations
Muhammad F: Electrical Engineering Department, Bahria University Karachi Campus, Karachi 75260, Pakistan [ORCID]
Rasheed H: Electrical Engineering Department, Bahria University Karachi Campus, Karachi 75260, Pakistan
Ali I: Department of Computer System and Technology, Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lampur 50603, Malaysia [ORCID]
Alroobaea R: Department of Computer Science, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia [ORCID]
Binmahfoudh A: Department of Computer Engineering, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
Rasheed H: Electrical Engineering Department, Bahria University Karachi Campus, Karachi 75260, Pakistan
Ali I: Department of Computer System and Technology, Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lampur 50603, Malaysia [ORCID]
Alroobaea R: Department of Computer Science, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia [ORCID]
Binmahfoudh A: Department of Computer Engineering, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
Journal Name
Energies
Volume
15
Issue
5
First Page
1681
Year
2022
Publication Date
2022-02-24
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15051681, Publication Type: Journal Article
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LAPSE:2023.14928
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https://doi.org/10.3390/en15051681
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Mar 2, 2023
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