Research on life prediction control of MMC submodule based on fiber sensing

With the rapid development of energy, power electronic equipment plays a crucial role in renewable energy. Modular multilevel converter (MMC) has turned into cutting-edge inverter topology in flexible HVDC and offshore wind power situations. However, under the conditions of high humidity and high vo...

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Main Authors: Shi-Zhou Xu, Tian-Yi Pei, Min Feng, Xi Yang
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:Energy Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484723002226
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author Shi-Zhou Xu
Tian-Yi Pei
Min Feng
Xi Yang
author_facet Shi-Zhou Xu
Tian-Yi Pei
Min Feng
Xi Yang
author_sort Shi-Zhou Xu
collection DOAJ
description With the rapid development of energy, power electronic equipment plays a crucial role in renewable energy. Modular multilevel converter (MMC) has turned into cutting-edge inverter topology in flexible HVDC and offshore wind power situations. However, under the conditions of high humidity and high voltage, the internal submodules lifetime of MMC might be affected. The system reliability mainly depends on good running of the submodules, so stable performance of the submodules serious threat to the normal operation of the inverter. Therefore, this paper proposes a model based on Peck accelerated life predictable model, and model predictive control (MPC) strategy is improved, at the same time without affecting the external characteristics can better control the submodule voltage fluctuations. What is more, real time monitoring of the working environment of the converter through the optical fiber sensing module. Finally, the experimental and simulative outcomes show that the proposed control strategy can effectively reduce the voltage fluctuations in the small module, and the life parameters of the submodules can be obtained in real time by bringing the results into the proposed life prediction model. By comparing the results, the results can be obtained the proposed control strategy can effectively increase the reliability of the submodule.
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spelling doaj.art-56cca026f08247709a831d90f368cbea2023-05-24T04:20:33ZengElsevierEnergy Reports2352-48472023-04-019217227Research on life prediction control of MMC submodule based on fiber sensingShi-Zhou Xu0Tian-Yi Pei1Min Feng2Xi Yang3Department of Electronic and Electrical Engineering, Henan Normal University, 46 Jianshe East Road, Xinxiang 453000, China; Henan Key Laboratory of Optoelectronic Sensing Integrated Application, 46 Jianshe East Road, Xinxiang 453000, China; Academician Workstation of Electromagnetic Wave Engineering of Henan Province, 46 Jianshe East Road, Xinxiang 453000, ChinaDepartment of Electronic and Electrical Engineering, Henan Normal University, 46 Jianshe East Road, Xinxiang 453000, China; Corresponding author.Department of Electronic and Electrical Engineering, Henan Normal University, 46 Jianshe East Road, Xinxiang 453000, ChinaDepartment of Electronic and Electrical Engineering, Henan Normal University, 46 Jianshe East Road, Xinxiang 453000, ChinaWith the rapid development of energy, power electronic equipment plays a crucial role in renewable energy. Modular multilevel converter (MMC) has turned into cutting-edge inverter topology in flexible HVDC and offshore wind power situations. However, under the conditions of high humidity and high voltage, the internal submodules lifetime of MMC might be affected. The system reliability mainly depends on good running of the submodules, so stable performance of the submodules serious threat to the normal operation of the inverter. Therefore, this paper proposes a model based on Peck accelerated life predictable model, and model predictive control (MPC) strategy is improved, at the same time without affecting the external characteristics can better control the submodule voltage fluctuations. What is more, real time monitoring of the working environment of the converter through the optical fiber sensing module. Finally, the experimental and simulative outcomes show that the proposed control strategy can effectively reduce the voltage fluctuations in the small module, and the life parameters of the submodules can be obtained in real time by bringing the results into the proposed life prediction model. By comparing the results, the results can be obtained the proposed control strategy can effectively increase the reliability of the submodule.http://www.sciencedirect.com/science/article/pii/S2352484723002226Modular multilevel convertModel predictive controlOptical fiber sensingLifetime prediction
spellingShingle Shi-Zhou Xu
Tian-Yi Pei
Min Feng
Xi Yang
Research on life prediction control of MMC submodule based on fiber sensing
Energy Reports
Modular multilevel convert
Model predictive control
Optical fiber sensing
Lifetime prediction
title Research on life prediction control of MMC submodule based on fiber sensing
title_full Research on life prediction control of MMC submodule based on fiber sensing
title_fullStr Research on life prediction control of MMC submodule based on fiber sensing
title_full_unstemmed Research on life prediction control of MMC submodule based on fiber sensing
title_short Research on life prediction control of MMC submodule based on fiber sensing
title_sort research on life prediction control of mmc submodule based on fiber sensing
topic Modular multilevel convert
Model predictive control
Optical fiber sensing
Lifetime prediction
url http://www.sciencedirect.com/science/article/pii/S2352484723002226
work_keys_str_mv AT shizhouxu researchonlifepredictioncontrolofmmcsubmodulebasedonfibersensing
AT tianyipei researchonlifepredictioncontrolofmmcsubmodulebasedonfibersensing
AT minfeng researchonlifepredictioncontrolofmmcsubmodulebasedonfibersensing
AT xiyang researchonlifepredictioncontrolofmmcsubmodulebasedonfibersensing