A Novel Sliding-Discrete-Control-Set Modulated Model Predictive Control for Modular Multilevel Converter

Jin, Yu; Xiao, Qian; Jia, Hongjie; Mu, Yunfei; Ji, Yanchao; Dragieevic, Tomislav; Teodorescu, Remus; Blaabjerg, Frede

doi:10.1109/access.2021.3050340

Cited by 20 publications

(14 citation statements)

References 27 publications

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“…i jref (k + 1) � I jref (k)e jθ(k+1) � I jref (k)e jθ(k) e jωT s . (22) Substitute ( 20) into ( 22) to get…”

Section: Future Reference Value Compensationmentioning

confidence: 99%

“…It also has a very good effect on overcoming the nonlinearity and uncertainty in the industrial control process. FCS-MPC is widely used in inverters, rectifiers, permanent magnet synchronous machine, and modular multilevel converters [17][18][19][20][21][22][23], but rarely in the three-port SOP. Peng et al proposed a three-port SOP coordinated control strategy based on FCS-MPC [24].…”

Section: Introductionmentioning

confidence: 99%

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An Improved Model Predictive Control Method for Three-Port Soft Open Point

Wang

Sheng

Huo

et al. 2021

Mathematical Problems in Engineering

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Soft open point (SOP) is a key power electronic device to improve the flexibility and stability of the distribution network and is becoming a research hotspot. The traditional double closed-loop control of SOP has a complex structure, difficult process of parameter design, and poor output power quality. To solve these problems, finite control set model predictive control (FCS-MPC) has been adopted. Since FCS-MPC involves a large amount of calculation and experiences delay in current tracking, an improved FCS-MPC with delay compensation is proposed for three-port SOP in this paper to replace the inner loop current control strategy. Improved model predictive control combines the two-step prediction method based on the voltage vector and vector angle compensation method. The vector method is used to construct a mathematical model and a prediction model of three-port SOP. Based on FCS-MPC, the two-step prediction method that takes voltage as the target is used to compensate for the current delay problem, and the amount of calculation is reduced by converting the control target. Meanwhile, the vector angle compensation method is used to compensate the future reference value. Finally, a simulation model is built in MATLAB/Simulink. The simulation results under steady state and dynamic conditions show that the proposed strategy can effectively improve the current delay and reduce the amount of calculation. Furthermore, it has better current tracking accuracy and faster dynamic response speed.

show abstract

“…i jref (k + 1) � I jref (k)e jθ(k+1) � I jref (k)e jθ(k) e jωT s . (22) Substitute ( 20) into ( 22) to get…”

Section: Future Reference Value Compensationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Improved Model Predictive Control Method for Three-Port Soft Open Point

Wang

Sheng

Huo

et al. 2021

Mathematical Problems in Engineering

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show abstract

“…The control objectives include the control of DC-link current ripple, sub-module voltage ripple, circulating current, output current, and sub-module capacitor voltage. Furthermore, while most studies were on FCS-MPC, few like [46], [49]- [51] reported work on modulated MPC with constant switching frequency.…”

Section: Simplified-model-based Mpcmentioning

confidence: 99%

A Comparative Study on Weighting Factor Design Techniques for the Model Predictive Control of Power Electronics and Energy Conversion Systems

Babayomi¹,

Zhang²,

Yu³

et al. 2021

Preprint

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During the past decade, the model predictive control (MPC) of power electronics and drives has witnessed significant advancements in both dynamic performance and range of applications. However, researchers still encounter challenges with the optimal design of weighting factors, and this lowers the capabilities derivable from MPC. This study first reviews the different weighting factor design techniques proposed in the literature for power electronics and electrical drives (applied to wind/solar energy conversion, microgrids, grid-connected converters and other high performance converter-based systems). They are grouped under heuristic, offline tuning, sequential, and online optimization methods. Next, the study provides real-time hardware-in-the-loop comparative results for the implementation of four weighting factor design techniques on a grid-connected two-level back-to-back power converter-based permanent magnet synchronous generator wind turbine system. Through these laboratory results, the advantages and limitations of the different weighting factor design methods are highlighted.

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“…The literature has focused significantly on applying variants of this scheme to modular multilevel converters for HVDC [27], [36]- [39], [43], [48]- [51]. Among these, only [46], [49]- [51] are designed for modulated MPC with fixed switching frequencies, while all others have variable switching frequencies.…”

Section: Simplified-model-based Mpcmentioning

confidence: 99%