A enhanced control strategy for capacitance voltage equalization in modular multilevel converter
In searching for the optimal control strategy of sub-module capacitance voltage equalization of Modular Multilevel Converter (MMC), the most important issue is how to address the significant increase in computing time of the controller, switching frequency of the sub-module, device switching loss an...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
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SAGE Publishing
2024-04-01
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Series: | Measurement + Control |
Online Access: | https://doi.org/10.1177/00202940231191773 |
_version_ | 1797262302963040256 |
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author | Chao Ding Jinqi Zhang Yanming Cheng Mahmoud AM Al Shurafa Yulian Zhao Peilin Liu Ilkyoo Lee |
author_facet | Chao Ding Jinqi Zhang Yanming Cheng Mahmoud AM Al Shurafa Yulian Zhao Peilin Liu Ilkyoo Lee |
author_sort | Chao Ding |
collection | DOAJ |
description | In searching for the optimal control strategy of sub-module capacitance voltage equalization of Modular Multilevel Converter (MMC), the most important issue is how to address the significant increase in computing time of the controller, switching frequency of the sub-module, device switching loss and MMC fault rate led by the increase in the number of sub-modules of the upper/lower bridge arm of the MMC. Therefore, this paper proposes a control strategy based on the retaining factor method + improved quick sort, namely, an improved quick sort algorithm is used to sort the sub-module capacitance voltages to reduce the amount of computation of the MMC controller; at the same time, a retaining factor is introduced to participate in the improved quick sort to significantly reduce the switching frequency of the sub-module. MMC of large ship grid-connected photovoltaic power system is taken as a research object in this paper, a 31-level MMC model is built in Matlab/Simulink. Simulation results verify that the improved quick sort has a good rapidity compared to the algorithms of bubble sort, quick sort, bidirectional bubble sort, and improved merge sort, that the retention factor method has a good frequency reduction effect, and that the proposed retention factor + improved quick sort can provide a good performance compared to improved quick sort and retention factor + improved merge sort under conditions of the normal operation and introducing disturbance. |
first_indexed | 2024-04-24T23:54:58Z |
format | Article |
id | doaj.art-4b5b86fb06bd468095c7c6b53418d3f8 |
institution | Directory Open Access Journal |
issn | 0020-2940 |
language | English |
last_indexed | 2024-04-24T23:54:58Z |
publishDate | 2024-04-01 |
publisher | SAGE Publishing |
record_format | Article |
series | Measurement + Control |
spelling | doaj.art-4b5b86fb06bd468095c7c6b53418d3f82024-03-14T14:03:37ZengSAGE PublishingMeasurement + Control0020-29402024-04-015710.1177/00202940231191773A enhanced control strategy for capacitance voltage equalization in modular multilevel converterChao Ding0Jinqi Zhang1Yanming Cheng2Mahmoud AM Al Shurafa3Yulian Zhao4Peilin Liu5Ilkyoo Lee6College of Electrical & Information Engineering, Beihua University, Jilin, ChinaCollege of Electrical & Information Engineering, Beihua University, Jilin, ChinaCollege of Electrical & Information Engineering, Beihua University, Jilin, ChinaCollege of Electrical & Information Engineering, Beihua University, Jilin, ChinaCollege of Electrical & Information Engineering, Beihua University, Jilin, ChinaIntelligent Connected Vehicle Development Institute China FAW Group Co. Ltd., Changchun, ChinaDivision of Electrical, Electronics & Control Engineering, Kongju National University, Chungcheongnam-do, South KoreaIn searching for the optimal control strategy of sub-module capacitance voltage equalization of Modular Multilevel Converter (MMC), the most important issue is how to address the significant increase in computing time of the controller, switching frequency of the sub-module, device switching loss and MMC fault rate led by the increase in the number of sub-modules of the upper/lower bridge arm of the MMC. Therefore, this paper proposes a control strategy based on the retaining factor method + improved quick sort, namely, an improved quick sort algorithm is used to sort the sub-module capacitance voltages to reduce the amount of computation of the MMC controller; at the same time, a retaining factor is introduced to participate in the improved quick sort to significantly reduce the switching frequency of the sub-module. MMC of large ship grid-connected photovoltaic power system is taken as a research object in this paper, a 31-level MMC model is built in Matlab/Simulink. Simulation results verify that the improved quick sort has a good rapidity compared to the algorithms of bubble sort, quick sort, bidirectional bubble sort, and improved merge sort, that the retention factor method has a good frequency reduction effect, and that the proposed retention factor + improved quick sort can provide a good performance compared to improved quick sort and retention factor + improved merge sort under conditions of the normal operation and introducing disturbance.https://doi.org/10.1177/00202940231191773 |
spellingShingle | Chao Ding Jinqi Zhang Yanming Cheng Mahmoud AM Al Shurafa Yulian Zhao Peilin Liu Ilkyoo Lee A enhanced control strategy for capacitance voltage equalization in modular multilevel converter Measurement + Control |
title | A enhanced control strategy for capacitance voltage equalization in modular multilevel converter |
title_full | A enhanced control strategy for capacitance voltage equalization in modular multilevel converter |
title_fullStr | A enhanced control strategy for capacitance voltage equalization in modular multilevel converter |
title_full_unstemmed | A enhanced control strategy for capacitance voltage equalization in modular multilevel converter |
title_short | A enhanced control strategy for capacitance voltage equalization in modular multilevel converter |
title_sort | enhanced control strategy for capacitance voltage equalization in modular multilevel converter |
url | https://doi.org/10.1177/00202940231191773 |
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