A Model Predictive Control Method for Grid-Connected Power Converters Without AC Voltage Sensors

Guo, Leilei; Jin, Nan; Li, Yanyan; Luo, Kui

doi:10.1109/tie.2020.2970638

Cited by 61 publications

(31 citation statements)

References 36 publications

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“…Proposed AO have three parameters to tune, observer gain matrix L and k, α in Eq. (5). Tuning of L has been discussed in Sec.…”

Section: Results and Discussion A Hardware-in-the-loop (Hil) Exmentioning

confidence: 99%

“…ε µ = 0, let us consider the equilibrium point ε = 0. Then from the observer error dynamics (6), and the parameter identification law (5), it can be written that…”

Section: Estimation Of Phase and Frequencymentioning

confidence: 99%

“…To implement the proposed adaptive observer-based phase and frequency estimation technique, Eq. (4), (5) and (15) are required. Block diagram of the proposed observer is given in Fig.…”

Section: A Remarks On the Tuning Of Observer Gain Lmentioning

confidence: 99%

“…Phase angle and frequency play an important role in the control of grid-connected systems e.g. inverters [1]- [5], dynamic voltage restorer [6], rectifier [7], [8], to name a few. All these applications require an estimator that can converge in few cycles and have good steady-state performance in the presence of various disturbances and uncertainties.…”

Section: Introductionmentioning

confidence: 99%

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Coordinate Transformation-Free Observer-Based Adaptive Estimation of Distorted Single-Phase Grid Voltage Signal

et al. 2020

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This paper studies the phase and frequency estimation problem of single-phase grid voltage signal in the presence of DC offset and harmonics. For this purpose, a novel parameterized linear model of the grid voltage signal is considered where the unknown frequency of the grid is considered as the parameter. Based on the developed model, a linear observer (Luenberger type) is proposed. Then using Lyapunov stability theory, an estimator of the unknown grid frequency is developed. In order to deal with the grid harmonics, multiple parallel observers are then proposed. The proposed technique is inspired by other Luenberger observers already proposed in the literature. Those techniques use coordinate transformation that requires real-time matrix inverse calculation. The proposed technique avoids real-time matrix inversion by using a novel state-space model of the grid voltage signal. In comparison to similar other techniques available in the literature, no coordinate transformation is required. This significantly reduces the computational complexity w.r.t. similar other techniques. Comparative experimental results are provided with respect to two other recently proposed nonlinear techniques to show the dynamic performance improvement. Experimental results demonstrate the suitability of the proposed technique.

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“…Proposed AO have three parameters to tune, observer gain matrix L and k, α in Eq. (5). Tuning of L has been discussed in Sec.…”

Section: Results and Discussion A Hardware-in-the-loop (Hil) Exmentioning

confidence: 99%

“…ε µ = 0, let us consider the equilibrium point ε = 0. Then from the observer error dynamics (6), and the parameter identification law (5), it can be written that…”

Section: Estimation Of Phase and Frequencymentioning

confidence: 99%

“…To implement the proposed adaptive observer-based phase and frequency estimation technique, Eq. (4), (5) and (15) are required. Block diagram of the proposed observer is given in Fig.…”

Section: A Remarks On the Tuning Of Observer Gain Lmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Coordinate Transformation-Free Observer-Based Adaptive Estimation of Distorted Single-Phase Grid Voltage Signal

et al. 2020

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“…Distributed generation (DG) is dominated by solar energy and wind power [4][5][6]. Wind energy has received extensive attention in terms of economy and system stability [7,8]. However, wind energy is fed to the grid through a power electronics system, which usually cannot provide the necessary inertia and damping for the grid [9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Model Predictive Virtual Synchronous Control of Permanent Magnet Synchronous Generator-Based Wind Power System

et al. 2020

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As much wind power is integrated into the power grid through power electronic equipment, the use of wind power is increased rapidly. Wind power system makes the power grid lack inertia and damping, thereby reducing power grid stability; in severe cases, it may even be disconnected. virtual synchronous generator (VSG) has been put forward to enhance the anti-disturbance performance of power grid. However, conventional VSG adopts an outer power loop and inner-current loop control. The inner-current loop control needs a pulse width modulation (PWM) module and proportion integration (PI) parameter settings. In order to reduce the parameter settings and simplify control structures, in this study, model predictive control (MPC) is used instead of inner-current loop control. At the same time—for the overall stability and control flexibility of the back-to-back system—we further propose to use outer-voltage loop control (OVLC) and MPC to stabilize direct current (DC) voltage on the machine-side and to employ model predictive virtual synchronous controls to provide inertia and damping for the power grid. The proposed control method was simulated in Matlab/Simulink (MathWorks, Massachusetts, MA, 2016) and verified by experimental results.

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Virtual Vector Optimal Selection Strategy for NPC Three‐Level Grid‐Tied Converter with Finite Control Set Model Predictive Control

Xie

et al. 2022

IEEJ Transactions Elec Engng

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Virtual vector is applied in neutral-point-clamped (NPC) three-level converter finite control set model predictive control (FCS-MPC) strategy due to its good performance of less current ripples and high power efficiency. However, in the process of adding virtual vectors, some redundant virtual vectors will be selected. Excessive virtual vector will increase the computational burden and affect grid-tied current performance. A virtual vector optimal selection strategy for model predictive control to determine the vectors is proposed. The strategy calculates the fluctuation of grid-tied current through theoretical analysis. Based on the analysis of amplitude fluctuation of grid-tied current, the graphics of coverage angle visualization can be obtained under different virtual vector. The angle of the required virtual vectors is obtained through the graphics of coverage angle visualization. The number of virtual vector can be determined when the error current angle range covers the entire vector graph. The proposed control strategy was compared with the conventional control strategies, including excessive virtual vectors or with no any virtual vector. Experimental results show that the proposed control strategy can significantly reduce THD, grid-tied current error and computational burden.

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A Model Predictive Control Method for Grid-Connected Power Converters Without AC Voltage Sensors

Cited by 61 publications

References 36 publications

Coordinate Transformation-Free Observer-Based Adaptive Estimation of Distorted Single-Phase Grid Voltage Signal

Coordinate Transformation-Free Observer-Based Adaptive Estimation of Distorted Single-Phase Grid Voltage Signal

Model Predictive Virtual Synchronous Control of Permanent Magnet Synchronous Generator-Based Wind Power System

Virtual Vector Optimal Selection Strategy for NPC Three‐Level Grid‐Tied Converter with Finite Control Set Model Predictive Control

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