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1.东南大学电气工程学院,江苏省南京市 210096
2.南京理工大学自动化学院,江苏省南京市 210094
李珂(1996—),男,硕士研究生,主要研究方向:电力系统电磁暂态仿真。E-mail:1812488055@qq.com
顾伟(1981—),男,通信作者,教授,博士生导师,主要研究方向:分布式电源与微电网、综合能源系统等。E-mail:wgu@seu.edu.cn
柳伟(1985—),男,博士,副教授,硕士生导师,主要研究方向:微电网/主动配电网分布式控制及优化、智能电网实时仿真等。E-mail:wliu@njust.edu.cn
收稿日期:2021-04-23,
修回日期:2021-12-02,
网络出版日期:2022-03-30,
纸质出版日期:2022-07-10
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李珂,顾伟,柳伟等.基于FPGA的变流器并行多速率电磁暂态实时仿真方法[J].电力系统自动化,2022,46(13):151-158.
LI Ke,GU Wei,LIU Wei,et al.Real-time Parallel Multi-rate Electromagnetic Transient Simulation Method for Converters Based on Field Programmable Gate Array[J].Automation of Electric Power Systems,2022,46(13):151-158.
李珂,顾伟,柳伟等.基于FPGA的变流器并行多速率电磁暂态实时仿真方法[J].电力系统自动化,2022,46(13):151-158. DOI: 10.7500/AEPS20210423019.
LI Ke,GU Wei,LIU Wei,et al.Real-time Parallel Multi-rate Electromagnetic Transient Simulation Method for Converters Based on Field Programmable Gate Array[J].Automation of Electric Power Systems,2022,46(13):151-158. DOI: 10.7500/AEPS20210423019.
随着电力电子器件越来越多地融入现代电力系统,对微秒级步长实时化电磁暂态仿真的需求不断增加,通过现场可编程门阵列(FPGA)提高仿真系统的计算能力是实现变流器实时化仿真的重要途径。引入FPGA作为硬件加速设备优化仿真系统的实时性能,提出一种变流器多速率实时仿真方法。针对控制系统多速率解耦和并行计算时序产生的误差进行分析,采用结合拉格朗日插值的改进线性插值算法有效降低了控制系统解耦后多速率并行仿真时序下的延迟误差。仿真结果证明,所提出的仿真方法与无插值算法的并行计算相比精度更高。性能分析验证了基于该算法所建立的仿真平台相比于单独基于中央处理器(CPU)或FPGA实现的仿真平台,在实时性能和资源占用率方面具有一定优势。
As an increasing number of power electronic devices are integrated into modern power systems
the demand for real-time electromagnetic transient simulation with microsecond simulation steps keeps increasing. It is an important way to realize the real-time simulation of the converters by improving the computing capability of the simulation system through the field programmable gate array (FPGA). A multi-rate real-time simulation method of converters is proposed by introducing FPGA as a hardware acceleration device to optimize the real-time performance of the simulation system. Aiming at the analysis of the error caused by the multi-rate decoupling of the control system as well as the parallel computing sequence
the improved linear extrapolation algorithm combined with the Lagrange interpolation method is used to effectively reduce the delay error in the multi-rate parallel simulation sequence after the control system is decoupled. The simulation results show that
compared with the parallel computation without the extrapolation algorithm
the proposed simulation method has higher accuracy. The performance analysis verifies that the established simulation platform has certain advantages in the real-time performance and resource utilization compared with the simulation platforms established solely on CPU or FPGA.
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