Virtual Synchronous Generator Control with Reliable Fault Ride-through Capability by Adopting Model Predictive Control

2018 ◽  
Author(s):  
Jonggrist Jongudomkarn ◽  
Jia Liu ◽  
Toshifumi Ise
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Synchronous Generator ◽  
Fault Ride Through ◽  
Virtual Synchronous Generator

scholarly journals Model Predictive Control for Indirect Boost Matrix Converter Based on Virtual Synchronous Generator

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 60364-60381 ◽  
Author(s):  
Jonggrist Jongudomkarn ◽  
Jia Liu ◽  
Yuta Yanagisawa ◽  
Hassan Bevrani ◽  
Toshifumi Ise
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Synchronous Generator ◽  
Matrix Converter ◽  
Virtual Synchronous Generator

scholarly journals A weighted voltage model predictive control method for a virtual synchronous generator with enhanced parameter robustness

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Leilei Guo ◽  
Zhiye Xu ◽  
Nan Jin ◽  
Yanyan Li ◽  
Wei Wang
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Output Voltage ◽  
Control Method ◽  
Synchronous Generator ◽  
Experimental Tests ◽  
Tracking Accuracy ◽  
The Stability ◽  
Parameter Robustness ◽  
Virtual Synchronous Generator

AbstractTo address the problem of insufficient system inertia and improve the power quality of grid-connected inverters, and to enhance the stability of the power system, a method to control a virtual synchronous generator (VSG) output voltage based on model predictive control (MPC) is proposed. Parameters of the inductors, capacitors and other components of the VSG can vary as the temperature and current changes. Consequently the VSG output voltage and power control accuracy using the conventional MPC method may be reduced. In this paper, to improve the parameter robustness of the MPC method, a new weighted predictive capacitor voltage control method is proposed. Through detailed theoretical analysis, the principle of the proposed method to reduce the influence of parameter errors on voltage tracking accuracy is analyzed. Finally, the effectiveness and feasibility of the proposed method are verified by experimental tests using the Typhoon control hardware-in-the-loop experimental platform.

scholarly journals Model Predictive Control for Virtual Synchronous Generator with Improved Vector Selection and Reconstructed Current

Energies ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 5435 ◽  
Author(s):  
Nan Jin ◽  
Chao Pan ◽  
Yanyan Li ◽  
Shiyang Hu ◽  
Jie Fang
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Large Scale ◽  
Pulse Width Modulation ◽  
Fault Tolerant ◽  
Power Grid ◽  
Synchronous Generator ◽  
Three Phase ◽  
Phase Converter ◽  
Virtual Synchronous Generator

Due to the large-scale renewable energy connected to the power grid by power electronic converters, the inertia and stability of the power grid is declining. In order to improve the inertia and support the grid recovery, the three-phase converter works as a virtual synchronous generator (VSG) to respond to the frequency and voltage changes of the power grid. This paper proposes a model predictive control for the virtual synchronous generator (MPC-VSG) strategy, which can automatically control the converter output power with the grid frequency and voltage changes. Further consideration of fault-tolerant ability and reliability, the method based on improved voltage vector selection, and reconstructed current is used for MPC-VSG to ensure continuous operation for three-phase converters that have current-sensor faults, and improve the reconstruction precision. The proposed method can respond to the frequency and voltage changes of the power grid and has fault-tolerant ability, which is easy to realize without pulse width modulation (PWM) and a proportional-integral (PI) controller. The effectiveness of the proposed control strategy is verified by experiment.

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