Multi-Rate Parallel Real-Time Simulation Method for Doubly Fed Wind Power Systems Based on FPGA-CPU

被引:3
作者
Yang, Guangrao [1 ]
Li, Yahui [1 ]
Hao, Zhenghang [1 ]
Chen, Zhuo [1 ]
He, Puxiang [1 ]
Zhang, Jing [1 ]
机构
[1] Guizhou Univ, Coll Elect Engn, Guiyang 550025, Peoples R China
关键词
doubly fed wind power system; field-programmable gate array (FPGA); real-time simulation; multi-rate parallel simulation; MODEL; IMPLEMENTATION; CONVERTERS; FREQUENCY; DESIGN;
D O I
10.3390/machines10111073
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A multi-rate parallel real-time simulation method based on FPGA-CPU is studied to realize the asynchronous co-simulation of the converter of doubly fed wind power systems with the wind turbine and external power grid. The doubly fed wind power system is partitioned by simulation step length, and the partitioned small-step-length data are processed using integral homogenization. For large-step data, an improved delay-compensated linear interpolation method combined with Newton interpolation is proposed for processing. The general small time-step (GST) model method is used to implement the FPGA modeling of the small-step converter, and resource optimization is achieved through timing time-division multiplexing. Asynchronous parallel co-simulation of a doubly fed wind power system is implemented on an FPGA-CPU co-simulation platform. Among them, the FPGA realizes the development of the converter HDL with a small step of 1 mu s, while the CPU completes the simulation of the wind turbine and power grid synchronously with a large step of 50 mu s. Finally, by comparing with MATLAB/Simulink offline simulation and analyzing the error, it is concluded that the simulation accuracy of the improved method in this paper is higher than that of the un-interpolated parallel simulation, which verifies the real-time performance and accuracy of the modeling and improved method in this paper.
引用
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页数:21
相关论文
共 42 条
[1]   Limited-Position Set Model-Reference Adaptive Observer for Control of DFIGs without Mechanical Sensors [J].
Abdelrahem, Mohamed ;
Hackl, Christoph M. ;
Kennel, Ralph .
MACHINES, 2020, 8 (04)
[2]   Enhanced Model and Real-Time Simulation Architecture for Modular Multilevel Converter [J].
Ashourloo, Mojtaba ;
Mirzahosseini, Ramin ;
Iravani, Reza .
IEEE TRANSACTIONS ON POWER DELIVERY, 2018, 33 (01) :466-476
[3]   A Device-Level Transient Modeling Approach for the FPGA-Based Real-Time Simulation of Power Converters [J].
Bai, Hao ;
Luo, Huan ;
Liu, Chen ;
Paire, Damien ;
Gao, Fei .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2020, 35 (02) :1282-1292
[4]   An FPGA-Based IGBT Behavioral Model With High Transient Resolution for Real-Time Simulation of Power Electronic Circuits [J].
Bai, Hao ;
Liu, Chen ;
Rathore, Akshay Kumar ;
Paire, Damien ;
Gao, Fei .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 66 (08) :6581-6591
[5]   Microgrid Digital Twins: Concepts, Applications, and Future Trends [J].
Bazmohammadi, Najmeh ;
Madary, Ahmad ;
Vasquez, Juan C. ;
Mohammadi, Hamid Baz ;
Khan, Baseem ;
Wu, Ying ;
Guerrero, Josep M. .
IEEE ACCESS, 2022, 10 :2284-2302
[6]   Digital-Twins-Driven Semi-Physical Simulation for Testing and Evaluation of Industrial Software in a Smart Manufacturing System [J].
Cheng, Keqiang ;
Wang, Qiang ;
Yang, Dongyu ;
Dai, Qingyun ;
Wang, Meilin .
MACHINES, 2022, 10 (05)
[7]   ADC-Based Embedded Real-Time Simulator of a Power Converter Implemented in a Low-Cost FPGA: Application to a Fault-Tolerant Control of a Grid-Connected Voltage-Source Rectifier [J].
Dagbagi, Mohamed ;
Hemdani, Asma ;
Idkhajine, Lahoucine ;
Naouar, Mohamed Wissem ;
Monmasson, Eric ;
Slama-Belkhodja, Ilhem .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2016, 63 (02) :1179-1190
[8]   Switching time model updating for the real-time simulation of power-electronic circuits and motor drives [J].
De Kelper, B ;
Blanchette, HF ;
Dessaint, LA .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2005, 20 (01) :181-186
[9]   Adaptive Time-Stepping Universal Line and Machine Models for Real Time and Faster-Than-Real-Time Hardware Emulation [J].
Duan, Tong ;
Dinavahi, Venkata .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 67 (08) :6173-6182
[10]   Machine Learning-Based Digital Twin for Predictive Modeling in Wind Turbines [J].
Fahim, Muhammad ;
Sharma, Vishal ;
Cao, Tuan-Vu ;
Canberk, Berk ;
Duong, Trung Q. .
IEEE ACCESS, 2022, 10 :14184-14194