Continuous-Control-Set Model Predictive Control Strategy for MMC-UPQC Under Non-Ideal Conditions
Lianghua Chen,
Jianping Zhou (),
Jiayu Zhai,
Lisheng Yang,
Xudong Qian and
Zhiyong Tao
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Lianghua Chen: College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China
Jianping Zhou: College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China
Jiayu Zhai: College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China
Lisheng Yang: College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China
Xudong Qian: College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China
Zhiyong Tao: College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China
Energies, 2025, vol. 18, issue 11, 1-15
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.
Keywords: modular multilevel converter; unified power quality conditioner; continuous-control-set model predictive control; phase-shifted carrier pulse-width modulation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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