An Enhanced Model Predictive Capacitor Voltage Control of Hybrid Modular Multilevel Converters Under Overmodulation Circumstances

被引:0
|
作者
Hashemi-Zadeh, Amin [1 ]
Ahmadi, Saeid [1 ]
Neyshabouri, Yousef [2 ]
Asadi, Ehsan [1 ]
Iman-Eini, Hossein [1 ,3 ]
Liserre, Marco [3 ]
机构
[1] Univ Tehran, Coll Engn, Sch Elect & Comp Engn, Tehran 1439957131, Iran
[2] Fac Elect & Comp Engn, Urmia Univ, Orumiyeh 5756151818, Iran
[3] Univ Kiel, D-24143 Kiel, Germany
关键词
Voltage; Modulation; Termination of employment; Voltage control; Capacitors; Hybrid power systems; Uncertainty; Capacitor voltage balancing; hybrid modular multilevel converters (MMCs); model predictive control (MPC); overmodulation circumstances; MMC; OPERATION;
D O I
10.1109/TPEL.2024.3365850
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Modular multilevel converters (MMCs) require well-balanced submodule (SM) capacitor voltages at the reference value for satisfactory steady-state and dynamic operations. Achieving this goal in hybrid MMCs, where the modulation index exceeds one, becomes intricate owing to the differing participation of half-bridge submodules (HB-SMs) and full-bridge submodules (FB-SMs) in arm voltage generation. This article proposes an advanced voltage-balancing method based on enhanced phase-shift modulation and model predictive control, featuring a single comprehensive cost function that utilizes a novel form of redundancy to manage the insertion of HB- and FB-SMs in a wide range of modulation indices. The designed cost function addresses four key control objectives: intercell balancing by tracking the dc voltage reference, minimizing the energy deviation between the HB- and FB-SMs, interleg balancing to eliminate energy variations between the upper and lower arms, and rejecting voltage errors arising from uncertainties in the SM capacitance using a Kalman filter based observer. This method enables comprehensive capacitor voltage balancing, which is suitable for various modulation indices and power factors. The validity of the proposed method is substantiated through simulations using MATLAB/Simulink software and experiments conducted on a scaled-down hardware prototype.
引用
收藏
页码:7130 / 7143
页数:14
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