目前对基于模块化多电平换流器的高压直流(modular multilevel converter based high voltage direct current,MMC-HVDC)输电系统的中高频谐振机理尚缺乏系统性的研究,因此,基于分块化阻抗建模方法和谐波阻抗分析法系统地揭示了MMC-HVD...目前对基于模块化多电平换流器的高压直流(modular multilevel converter based high voltage direct current,MMC-HVDC)输电系统的中高频谐振机理尚缺乏系统性的研究,因此,基于分块化阻抗建模方法和谐波阻抗分析法系统地揭示了MMC-HVDC输电系统的中高频谐振机理。首先,基于分块化阻抗建模方法,将MMC-HVDC输电系统进行分块,通过对交直流系统电路及MMC控制系统的分析,分别建立了MMC交、直流侧等效阻抗模型,同时根据线路的分布参数特性建立了输电线路阻抗模型,形成了MMC-HVDC输电系统等效模型;其次,通过研究控制环节和参数对MMC等效阻抗的影响,获得了主要的影响因素;然后将谐振分为有源谐振和无源谐振,从而系统地揭示了MMC-HVDC输电系统的谐振机理;最后,通过仿真验证了所建模型及谐振分析方法的有效性和正确性。分析及仿真结果表明:在中高频段,MMC直流侧系统仅可发生有源谐振,谐振频率主要与直流线路参数有关;MMC交流侧系统可发生无源和有源谐振,无源谐振主要受MMC交流侧阻抗负阻尼特性的影响,而有源谐振与MMC和电网参数均相关。展开更多
The high-frequency(HF)modeling of induction motors plays a key role in predicting the motor terminal overvoltage and conducted emissions in a motor drive system.In this study,a physics informed neural network-based HF...The high-frequency(HF)modeling of induction motors plays a key role in predicting the motor terminal overvoltage and conducted emissions in a motor drive system.In this study,a physics informed neural network-based HF modeling method,which has the merits of high accuracy,good versatility,and simple parameterization,is proposed.The proposed model of the induction motor consists of a three-phase equivalent circuit with eighteen circuit elements per phase to ensure model accuracy.The per phase circuit structure is symmetric concerning its phase-start and phase-end points.This symmetry enables the proposed model to be applicable for both star-and delta-connected induction motors without having to recalculate the circuit element values when changing the motor connection from star to delta and vice versa.Motor physics knowledge,namely per-phase impedances,are used in the artificial neural network to obtain the values of the circuit elements.The parameterization can be easily implemented within a few minutes using a common personal computer(PC).Case studies verify the effectiveness of the proposed HF modeling method.展开更多
文摘目前对基于模块化多电平换流器的高压直流(modular multilevel converter based high voltage direct current,MMC-HVDC)输电系统的中高频谐振机理尚缺乏系统性的研究,因此,基于分块化阻抗建模方法和谐波阻抗分析法系统地揭示了MMC-HVDC输电系统的中高频谐振机理。首先,基于分块化阻抗建模方法,将MMC-HVDC输电系统进行分块,通过对交直流系统电路及MMC控制系统的分析,分别建立了MMC交、直流侧等效阻抗模型,同时根据线路的分布参数特性建立了输电线路阻抗模型,形成了MMC-HVDC输电系统等效模型;其次,通过研究控制环节和参数对MMC等效阻抗的影响,获得了主要的影响因素;然后将谐振分为有源谐振和无源谐振,从而系统地揭示了MMC-HVDC输电系统的谐振机理;最后,通过仿真验证了所建模型及谐振分析方法的有效性和正确性。分析及仿真结果表明:在中高频段,MMC直流侧系统仅可发生有源谐振,谐振频率主要与直流线路参数有关;MMC交流侧系统可发生无源和有源谐振,无源谐振主要受MMC交流侧阻抗负阻尼特性的影响,而有源谐振与MMC和电网参数均相关。
文摘The high-frequency(HF)modeling of induction motors plays a key role in predicting the motor terminal overvoltage and conducted emissions in a motor drive system.In this study,a physics informed neural network-based HF modeling method,which has the merits of high accuracy,good versatility,and simple parameterization,is proposed.The proposed model of the induction motor consists of a three-phase equivalent circuit with eighteen circuit elements per phase to ensure model accuracy.The per phase circuit structure is symmetric concerning its phase-start and phase-end points.This symmetry enables the proposed model to be applicable for both star-and delta-connected induction motors without having to recalculate the circuit element values when changing the motor connection from star to delta and vice versa.Motor physics knowledge,namely per-phase impedances,are used in the artificial neural network to obtain the values of the circuit elements.The parameterization can be easily implemented within a few minutes using a common personal computer(PC).Case studies verify the effectiveness of the proposed HF modeling method.
