A Method for Estimating the Amplitude–Frequency Characteristics of the Cable Line Model With Distributed Parameters

Pu, Yang; Shu, Qin; Chang, Jikai; Xu, Fangwei

doi:10.1109/tim.2022.3205681

Cited by 4 publications

(3 citation statements)

References 29 publications

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“…According to [23], the convolution inversion method can be used to calculate the amplitude-frequency characteristics, and the convolution relationship can be expressed as:…”

Section: B Convolution Inversion Methods For Amplitude-frequency Char...mentioning

confidence: 99%

“…As observed from Fig. 2, the dynamic equations of the typical HVACG system with a l km length cable line can be expressed as [23]:…”

Section: Hvacg System Model and Corresponding Dynamic Equationsmentioning

confidence: 99%

“…Inspired by the aforementioned methods and unconsidered scenarios, we propose a time-domain method to explore har- 1) The convolution inversion method [23] integrated with the Kalman filter (KF) method can be applied to obtain the harmonic amplification factor (HAF) using the square wave pulse response (SWPR) data with error.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Harmonic Amplification Analysis of Cable Lines with Distributed Parameters Based on Kalman Filter and Convolution Inversion

Pu,

Shu,

2023

Journal of Modern Power Systems and Clean Energy

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Harmonic amplification phenomena could appear at the point of common connection (PCC) of the cable line terminal. However, the distributed parameter model of the cable line contains hyperbolic functions with plural variables, which makes it challenging to obtain the harmonic amplification factor (HAF). Hence, a time-domain method combining the Kalman filter and convolution inversion (KFCI) methods is proposed to address this problem. First, the Kalman filter method optimizes the square wave pulse response (SWPR) with measurement error. Then, the optimized SWPR data are used to get the HAF by the convolution inversion method. Next, the harmonic amplification characteristics of cable lines are explored. Finally, an experimental simulation model is built on the PSCAD software, verifying the optimization effectiveness of Kalman filter for the SWPR with error and the accuracy of the HAF calculated by the proposed method. The analysis rationality of harmonic amplification properties is also demonstrated.

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“…According to [23], the convolution inversion method can be used to calculate the amplitude-frequency characteristics, and the convolution relationship can be expressed as:…”

Section: B Convolution Inversion Methods For Amplitude-frequency Char...mentioning

confidence: 99%

“…As observed from Fig. 2, the dynamic equations of the typical HVACG system with a l km length cable line can be expressed as [23]:…”

Section: Hvacg System Model and Corresponding Dynamic Equationsmentioning

confidence: 99%

See 1 more Smart Citation

Harmonic Amplification Analysis of Cable Lines with Distributed Parameters Based on Kalman Filter and Convolution Inversion

Pu,

Shu,

2023

Journal of Modern Power Systems and Clean Energy

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Small sample gearbox fault diagnosis based on improved deep forest in noisy environments

Shao,

Ming,

Liu

et al. 2024

Nondestructive Testing and Evaluation

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A Measurement-Based Dynamic Harmonic Model for Single-Phase Diode Bridge Rectifier-Type Devices

Xie,

Zhang,

Sun

et al. 2024

IEEE Trans. Instrum. Meas.

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A Method for Estimating the Amplitude–Frequency Characteristics of the Cable Line Model With Distributed Parameters

Cited by 4 publications

References 29 publications

Harmonic Amplification Analysis of Cable Lines with Distributed Parameters Based on Kalman Filter and Convolution Inversion

Harmonic Amplification Analysis of Cable Lines with Distributed Parameters Based on Kalman Filter and Convolution Inversion

Small sample gearbox fault diagnosis based on improved deep forest in noisy environments

A Measurement-Based Dynamic Harmonic Model for Single-Phase Diode Bridge Rectifier-Type Devices

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