Continuous-Control-Set Model Predictive Control Strategy for MMC-UPQC Under Non-Ideal Conditions.

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Bibliographic Details
Title: Continuous-Control-Set Model Predictive Control Strategy for MMC-UPQC Under Non-Ideal Conditions.
Authors: Chen, Lianghua1 (AUTHOR), Zhou, Jianping1 (AUTHOR) zhoujianping@shiep.edu.cn, Zhai, Jiayu1 (AUTHOR), Yang, Lisheng1 (AUTHOR), Qian, Xudong1 (AUTHOR), Tao, Zhiyong1 (AUTHOR)
Source: Energies (19961073). Jun2025, Vol. 18 Issue 11, p2946. 14p.
Subjects: Passivity-based control, Pulse width modulation, Prediction models, Computational complexity, Mathematical optimization, Pulse width modulation transformers
Abstract: In the MMC-based unified power quality conditioner (MMC-UPQC), the computational burden of finite-control-set model predictive control (FCS-MPC) increases rapidly with the number of MMC submodules. Meanwhile, conventional linear and nonlinear control methods suffer from limited compensation accuracy. To address this, a control strategy combining continuous-control-set model predictive control (CCS-MPC) and phase-shifted carrier pulse-width modulation (PSC-PWM) is proposed. CCS-MPC performs repeated time-domain optimization based on the system model. It offers advantages such as fast dynamic response and ease of implementation, thereby enhancing both dynamic and steady-state performance, as well as compensation effectiveness. Unlike FCS-MPC, the computational complexity of CCS-MPC combined with PSC-PWM does not depend on the number of submodules, which significantly reduces the overall computational burden. Simulation results verify that the proposed method exhibits superior performance under three scenarios: grid-side voltage unbalance, high-order harmonic injection, and nonlinear load connection. Compared with the linear PI control strategy and the nonlinear passivity-based control strategy, the proposed method significantly enhances power quality and system robustness. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
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Abstract:In the MMC-based unified power quality conditioner (MMC-UPQC), the computational burden of finite-control-set model predictive control (FCS-MPC) increases rapidly with the number of MMC submodules. Meanwhile, conventional linear and nonlinear control methods suffer from limited compensation accuracy. To address this, a control strategy combining continuous-control-set model predictive control (CCS-MPC) and phase-shifted carrier pulse-width modulation (PSC-PWM) is proposed. CCS-MPC performs repeated time-domain optimization based on the system model. It offers advantages such as fast dynamic response and ease of implementation, thereby enhancing both dynamic and steady-state performance, as well as compensation effectiveness. Unlike FCS-MPC, the computational complexity of CCS-MPC combined with PSC-PWM does not depend on the number of submodules, which significantly reduces the overall computational burden. Simulation results verify that the proposed method exhibits superior performance under three scenarios: grid-side voltage unbalance, high-order harmonic injection, and nonlinear load connection. Compared with the linear PI control strategy and the nonlinear passivity-based control strategy, the proposed method significantly enhances power quality and system robustness. [ABSTRACT FROM AUTHOR]
ISSN:19961073
DOI:10.3390/en18112946