Advancements on Real-Time Simulation for High Switching Frequency Power Electronics Applications (Invited Paper)

Author(s):  
Caio R. D. Osorio ◽  
Milos Miletic ◽  
Jovan Zelic ◽  
Dusan Majstorovic ◽  
Ognjen Gagrica
Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3237 ◽  
Author(s):  
Xizheng Guo ◽  
Jiaqi Yuan ◽  
Yiguo Tang ◽  
Xiaojie You

Due to the complicated circuit topology and high switching frequency, field-programmable gate arrays (FPGA) can stand up to the challenges for the hardware in the loop (HIL) real-time simulation of power electronics converters. The Associated Discrete Circuit (ADC) modeling method, which has a fixed admittance matrix, greatly reduces the computation cost for FPGA. However, the oscillations introduced by the switch-equivalent model reduces the simulation accuracy. In this paper, firstly, a novel algorithm is proposed to determine the optimal discrete-time switch admittance parameter, Gs, which is obtained by minimizing the switching loss. Secondly, the FPGA resource optimization method, in which the simulation time step, bit-length, and model precision are taken into consideration, is presented when the power electronics converter is implemented in FPGA. Finally, the above method is validated on the topology of a three-phase inverter with LC filters. The HIL simulation and practicality experiments verify the effect of FPGA resource optimization and the validity of the ADC modeling method, respectively.


Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 1156 ◽  
Author(s):  
Hyeong-Jun Yoo ◽  
Thai-Thanh Nguyen ◽  
Hak-Man Kim

Variable switching frequency in the finite control set model predictive control (FCS-MPC) method causes a negative impact on the converter efficiency and the design of the output filters. Several studies have addressed the problem, but they are either complicated or require heavy computation. This study proposes a new model predictive control (MPC) method with constant switching frequency, which is simple to implement and needs only a small computation time. The proposed MPC method is based on the gradient descent (GD) method to find the optimal voltage vector. Since the cost function of the MPC method is represented in the strongly convex function, the optimal voltage vector could be found quickly by using the GD method, which reduces the computation time of the MPC method. The design of the proposed MPC method based on GD (GD-MPC) is shown in this study. The feasibility of the proposed GD-MPC is evaluated in the real-time simulation using OPAL-RT technologies. The performance of the proposed method in the case of single inverter operation or parallel inverter operation is shown. A comparison study on the proposed GD-MPC and the MPC with the concept of the virtual state vector (VSV-MPC) is presented to demonstrate the effectiveness of the proposed predictive control. Real-time simulation results show that the proposed GD-MPC method performs better with a low total harmonic distortion (THD) value of output current and short computation time, compared to the VSV-MPC method.


2020 ◽  
Vol 8 (4) ◽  
pp. 796-808
Author(s):  
Fei Li ◽  
Yichao Wang ◽  
Fan Wu ◽  
Yao Huang ◽  
Yang Liu ◽  
...  

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