Priority Sorting Approach for Modular Multilevel Converter Based on Simplified Model Predictive Control
Priority Sorting Approach for Modular Multilevel Converter Based on Simplified Model Predictive Control
复制标题
基于简化模型预测控制的模块化多电平变流器优先级排序方法
DOI：
10.1109/tie.2017.2774725
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发表时间：
2018-06
影响因子：
7.7
通讯作者：
Jianfang Xiao
中科院分区：
文献类型：
--
作者：
Jingjing Huang;Bo Yang;Fanghong Guo;Zaifu Wang;Xiangqian Tong;Aimin Zhang;Jianfang Xiao
针对模块化多电平变流器(MMC)，提出了一种基于简化模型预测控制(MPC)的优先级排序方法。它的目的是在保持系统性能的同时，特别是在高电压水平下，减少传统预测控制方法的计算负担。该方法主要由网侧电流控制(GCC)、环流控制和电容电压平衡控制三部分组成。GCC和CCC分别设计了简化的MPC，避免了重量因素。同时，通过考虑等效MMC模型的期望预测输出电压，消除了GCC模型中的冗余计算。为了进一步减少开关状态的可选组合，利用GCC的输出和ARM电流来构造CCC。此外，针对CVBC算法提出了一种新的优先级排序方法，减少了排序操作。根据检测到的电容电压，将子模块分为三组。此外，根据ARM电流为组分配不同的优先级，并且只有一组需要排序过程。此外，还引入了一种降低频率的方法来降低稳态下的功率损耗。仿真和实验结果验证了该方法的有效性。
In this paper, a priority sorting approach based on simplified model predictive control (MPC) is proposed for modular multilevel converter (MMC). It aims at reducing the computational burden of conventional MPC method while maintaining the system performance, especially under high voltage levels. The proposed approach mainly consists of three parts, i.e., grid-side current control (GCC), circulating current control (CCC), and capacitor voltage balancing control (CVBC). The GCC and CCC are separately designed with simplified MPCs, avoiding the weight factor. Meanwhile, the redundant calculations are eliminated in GCC by considering the desired predicted output voltage of equivalent MMC model. To further minimize the optional combinations of the switching states, the CCC is constructed by utilizing the output of GCC and the arm current. Besides, a novel priority sorting approach is proposed for the CVBC to alleviate the sorting operation. The submodules are divided into three groups according to the detected capacitor voltages. Moreover, the groups are assigned with different priorities based on the arm current, and only one group needs the sorting process. Additionally, a reduced frequency approach is introduced to decrease the power loss in the steady state. The effectiveness of the proposed approach is validated by both simulation and experimental results.
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影响因子：
6.7
作者：
Peng Wang;Yi Tang
通讯作者：
Peng Wang;Yi Tang
DOI：
10.1109/powercon.2010.5666416
发表时间：
2010-12
期刊：
2010 International Conference on Power System Technology
影响因子：
--
作者：
Qingrui Tu;Zheng Xu;Hongyang Huang;Jing Zhang
通讯作者：
Qingrui Tu;Zheng Xu;Hongyang Huang;Jing Zhang
影响因子：
7.7
作者：
Steffen Rohner;S. Bernet;M. Hiller;R. Sommer
通讯作者：
Steffen Rohner;S. Bernet;M. Hiller;R. Sommer
影响因子：
7.7
作者：
E. Solas;G. Abad;J. Barrena;S. Aurtenetxea;A. Carcar;L. Zajac
通讯作者：
E. Solas;G. Abad;J. Barrena;S. Aurtenetxea;A. Carcar;L. Zajac
影响因子：
4.4
作者：
Qingrui Tu;Zheng Xu;Lie Xu
通讯作者：
Qingrui Tu;Zheng Xu;Lie Xu