Deadbeat predictive current control for modular multilevel converters with enhanced steady-state performance and stability
Model predictive control (MPC) methods are popularly employed in modular multilevel converters (MMCs) due to their fast dynamic response and multiobjective control capability. However, they present some inherent problems, such as computational complexity, variable switching frequency, poor steady-st...
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sg-ntu-dr.10356-1605642022-07-26T08:42:20Z Deadbeat predictive current control for modular multilevel converters with enhanced steady-state performance and stability Wang, Jinyu Tang, Yi Lin, Pengfeng Liu, Xiong Pou, Josep School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Deadbeat Control High-Voltage Direct Current Transmission Model predictive control (MPC) methods are popularly employed in modular multilevel converters (MMCs) due to their fast dynamic response and multiobjective control capability. However, they present some inherent problems, such as computational complexity, variable switching frequency, poor steady-state performance, and tedious weighting factor selection. This article develops a deadbeat predictive current control method for MMCs. This method can realize the reference tracking of ac current and circulating current in one sampling period without error, and thus provide a fast dynamic response as conventional MPC methods. Besides, switching state or voltage level evaluation, cost function calculation as well as weighting factor selection are not required. Therefore, it has a very low calculation burden, which is independent of the number of submodules (SMs). Since a modulation stage is utilized, a fixed switching frequency and consequently a satisfactory steady-state performance are obtained. The effects of time delay, parameter mismatch, and SM capacitor voltage ripple on the control algorithm are discussed. Also, the corresponding improvement measures are provided to further enhance the steady-state performance and system stability of MMCs. The effectiveness and performance of the developed control algorithm are verified by experimental results. National Research Foundation (NRF) This work was supported by the National Research Foundation, Prime Minister’s Office, Singapore under the Energy Innovation Research Programme (EIRP) Energy Storage Grant Call and administrated by the Energy Market Authority under Grant NRF2015EWTEIRP002-007. 2022-07-26T08:42:20Z 2022-07-26T08:42:20Z 2019 Journal Article Wang, J., Tang, Y., Lin, P., Liu, X. & Pou, J. (2019). Deadbeat predictive current control for modular multilevel converters with enhanced steady-state performance and stability. IEEE Transactions On Power Electronics, 35(7), 6878-6894. https://dx.doi.org/10.1109/TPEL.2019.2955485 0885-8993 https://hdl.handle.net/10356/160564 10.1109/TPEL.2019.2955485 2-s2.0-85079821754 7 35 6878 6894 en NRF2015EWTEIRP002-007 IEEE Transactions on Power Electronics © 2019 IEEE. All rights reserved. |
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Engineering::Electrical and electronic engineering Deadbeat Control High-Voltage Direct Current Transmission Wang, Jinyu Tang, Yi Lin, Pengfeng Liu, Xiong Pou, Josep Deadbeat predictive current control for modular multilevel converters with enhanced steady-state performance and stability |
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Model predictive control (MPC) methods are popularly employed in modular multilevel converters (MMCs) due to their fast dynamic response and multiobjective control capability. However, they present some inherent problems, such as computational complexity, variable switching frequency, poor steady-state performance, and tedious weighting factor selection. This article develops a deadbeat predictive current control method for MMCs. This method can realize the reference tracking of ac current and circulating current in one sampling period without error, and thus provide a fast dynamic response as conventional MPC methods. Besides, switching state or voltage level evaluation, cost function calculation as well as weighting factor selection are not required. Therefore, it has a very low calculation burden, which is independent of the number of submodules (SMs). Since a modulation stage is utilized, a fixed switching frequency and consequently a satisfactory steady-state performance are obtained. The effects of time delay, parameter mismatch, and SM capacitor voltage ripple on the control algorithm are discussed. Also, the corresponding improvement measures are provided to further enhance the steady-state performance and system stability of MMCs. The effectiveness and performance of the developed control algorithm are verified by experimental results. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Wang, Jinyu Tang, Yi Lin, Pengfeng Liu, Xiong Pou, Josep |
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Article |
author |
Wang, Jinyu Tang, Yi Lin, Pengfeng Liu, Xiong Pou, Josep |
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Wang, Jinyu |
title |
Deadbeat predictive current control for modular multilevel converters with enhanced steady-state performance and stability |
title_short |
Deadbeat predictive current control for modular multilevel converters with enhanced steady-state performance and stability |
title_full |
Deadbeat predictive current control for modular multilevel converters with enhanced steady-state performance and stability |
title_fullStr |
Deadbeat predictive current control for modular multilevel converters with enhanced steady-state performance and stability |
title_full_unstemmed |
Deadbeat predictive current control for modular multilevel converters with enhanced steady-state performance and stability |
title_sort |
deadbeat predictive current control for modular multilevel converters with enhanced steady-state performance and stability |
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2022 |
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https://hdl.handle.net/10356/160564 |
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1739837424288137216 |