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

Sun, Yusheng; Zhao, Yaqian; Dou, Zhifeng; Li, Yanyan; Guo, Leilei

doi:10.3390/en13195022

Cited by 4 publications

(7 citation statements)

References 25 publications

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“…The dynamic performance is also deteriorated because of the series control structure. To improve the control performance, an improved MPC based VSG control method is studied in this paper based the previous studies in [20][21][22].…”

Section: B Power Regulationmentioning

confidence: 99%

“…The transfer function Gv1(s) between the sliding mode surface and the observed capacitor voltage can be obtained from (8) and (19), which is shown in (20). According to (21), Bode diagrams can be plotted to analyze the influences of the sliding mode gain, as shown in Fig. 7.…”

Section: B Inductor Current Observer Designmentioning

confidence: 99%

“…All the results illustrated in [11][12][13][14][15][16][17][18][19] show the effectiveness and superiority of MPC in the region of power electronics and power drives. So, MPC has also been studied to control the VSG very recently in [20][21][22] by several researchers.…”

Section: Introductionmentioning

confidence: 99%

“…Compared with the conventional PI controller-based VSG control methods, MPC displayed its superiority in [20][21][22] for the control of VSG, such as easier to design and debug without the requirement to design PI controllers, faster dynamic process because of its direct voltage vector selection characteristic, and so on. So, in this paper, MPC based VSG control is further studied.…”

Section: Introductionmentioning

confidence: 99%

“…Although MPC methods are studied in [20][21][22] for VSG, it is necessary to detect the capacitor voltage, the inductor current, the grid voltage and current to accurately implement this typical VSG-MPC solution, which makes the system bulkily and increases hardware costs. Besides, physical sensors are prone to damage or make some measurement errors.…”

Section: Introductionmentioning

confidence: 99%

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Current Sensor-Less Virtual Synchronous Generator Model Predictive Control Based on Sliding Mode Observer

Guo

et al. 2021

IEEE Access

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In recent years, virtual synchronous generator (VSG) control algorithm has been widely studied in distributed grid-connected power inverters to deal with active and reactive power adjustment by simulating the operation principle of the actual synchronous generator. Nevertheless, once the current sensor fails, the grid-connected power inverter will lose its stability. To enhance the fault-tolerant operation ability of the grid-connected power inverter, a new inverter side current sensor-less model predictive control method based on sliding mode observer (SMO) is proposed. The stability of the SMO is analyzed by using the Lyapunov stability criterion. The gains of the SMO are then designed by analyzing their influences on the current and voltage observation based on the closed-loop transfer functions. Besides, to show the influences of the capacitance changes on the current observation, a detailed parameter sensitivity analysis is also carried out. Then, by using the estimated inductance current from the SMO, a current sensor-less model predictive control method is finally proposed. The main novelty of the proposed method is that both the output voltage of the inverter and the inverter side inductance are not required in the proposed SMO. So, the accuracy of current sensor-less control is improved. To verify the effectiveness of the proposed method, detailed experimental studies are carried out based on a Typhoon and PE-Expert 4 based experimental platform. uabc Capacitor voltage Vn The voltage vector Vdc DC voltage K1 Gain of the SMO iabc Grid-side current V The voltage on the inverter side ξ Quality factor K2 Gain of the SMO

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Section: B Power Regulationmentioning

confidence: 99%

Section: B Inductor Current Observer Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Current Sensor-Less Virtual Synchronous Generator Model Predictive Control Based on Sliding Mode Observer

Guo

et al. 2021

IEEE Access

Self Cite

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Very Low Sampling Frequency Model Predictive Control for Power Converters in the Medium and High-Power Range Applications

et al. 2021

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Several control strategies have been proposed with the aim to get a desired behavior in the power converter variables. The most employed control techniques are linear control, nonlinear control based on linear and nonlinear feedback, and predictive control. The controllers associated with linear and nonlinear algorithms usually have a fixed switching frequency, featuring a defined spectrum given by the pulse width modulation (PWM) or space vector modulation (SVM) time period. On the other hand, finite set model predictive control (FS-MPC) is known to present a variable switching frequency that results too high for high power applications, increasing losses, reducing the switches lifetime and, therefore, limiting its application. This paper proposes a predictive control approach using a very low sampling frequency, allowing the use of predictive control in high power applications. The proposed method is straightforward to understand, is simple to implement, and can be computed with off-the-shelf digital systems. The main advantage of the proposed control algorithm comes from the combination of the model predictive control and the SVM technique, drawing the principal benefits of both methods. The provided experimental results are satisfactory, displaying the nature of space vector-based schemes but at the same time the fast response as expected in predictive control.

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Modeling and Analysis of the Harmonic Interaction between Grid-Connected Inverter Clusters and the Utility Grid

Hui

Wang

2022

Energies

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The virtual synchronous generator (VSG) is a promising technology for future utility grids, since it can mimic the output characteristics of a synchronous generator, which provides the necessary inertia to a utility grid. However, the large-scale application of VSGs is limited due to the harmonic interaction between VSGs and the utility grid. Therefore, in order to investigate the stability issue as well as improve the practical application for large-scale power stations, the harmonic interaction mechanism between the VSG cluster and the utility grid is addressed. Firstly, the output impedance model of a single VSG is established, and it is found that the resonance frequency is related to parameters including the output filter, controller, and grid impedance. On this basis, the capacitor current control for a grid-connected inverter based on a VSG is proposed to enhance the resonance suppression. Furthermore, the output impedance of the VSG cluster is established, which reveals the harmonic interaction characteristics between the VSG cluster and the utility grid. In addition, in order to suppress the resonance and improve the stability, an inner-loop control strategy of VSG is introduced. Finally, the simulation and experimental results verified the correctness of the established modeling and analysis of the harmonic interaction between the clustered VSGs and the utility grid. The results show that the proposed impedance model is correct and can predict the resonant point accuracy (which is around 2.3 kHz in the simulation and experimental cases). The total harmonic distortion (THD) can be reduced to 3.2% which meets the requirements of IEEE standard 519.

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

Cited by 4 publications

References 25 publications

Current Sensor-Less Virtual Synchronous Generator Model Predictive Control Based on Sliding Mode Observer

Current Sensor-Less Virtual Synchronous Generator Model Predictive Control Based on Sliding Mode Observer

Very Low Sampling Frequency Model Predictive Control for Power Converters in the Medium and High-Power Range Applications

Modeling and Analysis of the Harmonic Interaction between Grid-Connected Inverter Clusters and the Utility Grid

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