Implicit Finite Control Set Model Predictive Current Control for Modular Multilevel Converter Based on IPA-SQP Algorithm

被引:0
|
作者
Nademi, Hamed [1 ]
Norum, Lars Einar [2 ]
机构
[1] ABB AS, Proc Automat Div, N-0603 Oslo, Norway
[2] Norwegian Univ Sci & Technol, Dept Elect Power Engn, N-7491 Trondheim, Norway
来源
APEC 2016 31ST ANNUAL IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION | 2016年
关键词
Model Predictive Control; Sequential Quadratic Programming; Modular Converter System; Current Control;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper investigates a Finite-Control-Set Model Predictive Control (FCS-MPC) for the precise control of (un) balanced load currents in Modular Multilevel Converter (MMC). The control objectives are circulating currents minimization inside the converter arms, achieve a capacitors voltage balance and load current control. To achieve the converter constrained optimization and facilitate the implementation on embedded systems, an integrated perturbation analysis and sequential quadratic programming (IPA-SQP) solver is also utilized. As a case study the proposed approach is applied to a grid-connected five-level MMC. The introduced FCS-MPC formulation reduces sensitivity of the converter output voltage to disturbances in grid side and measurement noise with reducing the computational burden. Simulation results reveal the effectiveness of the developed control scheme in cases when operational objectives, e.g., load current reference tracking and disturbance rejection are considered under system model uncertainties.
引用
收藏
页码:3291 / 3296
页数:6
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