Harmonic Source Location at the Point of Common Coupling Based on the Nonlinearity Index of Load

Liu, Yamei; Gong, Hualin; Xiao, Xianyong; Hong-geng, Yang

doi:10.1109/appeec.2009.4918400

Cited by 7 publications

(9 citation statements)

References 8 publications

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“…where I ha denotes the hth active harmonic component in load current. It can be noticed that the harmonic current initial phase θ ih defined in (16) does not appear in the final expressions (25) and (26), so it would not affect the result of (31).…”

Section: Discussionmentioning

confidence: 99%

“…Two kinds of equivalent load models, the parallel impedance model and the series impedance model, are commonly used in harmonic source location based on parameter identification method [25,26]. The equivalent load models are shown in Fig.…”

Section: Parameter Identification Analysismentioning

confidence: 99%

“…Harmonic source location method based on parameter identification [24][25][26] analyses the voltage and current waveforms at the PCC to solve equivalent parameters of different loads. Harmonic sources are identified by considering the non-linearity of equivalent loads, usually by calculating the non-linearity factor (NLF) indices.…”

Section: Introductionmentioning

confidence: 99%

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Harmonic emission level assessment method based on parameter identification analysis

Tang

Shen

2019

IET Generation, Transmission & Distribution

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Section: Discussionmentioning

confidence: 99%

Section: Parameter Identification Analysismentioning

confidence: 99%

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Harmonic emission level assessment method based on parameter identification analysis

Tang

Shen

2019

IET Generation, Transmission & Distribution

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“…Thus, it is vital to find the root cause, eliminate the harmonic pollution, and identify MHS through the best approach towards raising the power quality of the system [4], [5]. In addition, referring to the point of common coupling (PCC), MHS can be distinguished at the utility and client side which is known as upstream and downstream [6]- [8].…”

Section: Introductionmentioning

confidence: 99%

An Identification of Multiple Harmonic Sources in a Distribution System by Using Spectrogram

Jopri¹,

Abdullah²,

Manap³

et al. 2018

Bulletin EEI

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The identification of multiple harmonic sources (MHS) is vital to identify the root causes and the mitigation technique for a harmonic disturbance. This paper introduces an identification technique of MHS in a power distribution system by using a time-frequency distribution (TFD) analysis known as a spectrogram. The spectrogram has advantages in term of its accuracy, a less complex algorithm, and use of low memory size compared to previous methods such as probabilistic and harmonic power flow direction. The identification of MHS is based on the significant relationship of spectral impedances, which are the fundamental impedance (Z1) and harmonic impedance (Zh) that estimate the time-frequency representation (TFR). To verify the performance of the proposed method, an IEEE test feeder with several different harmonic producing loads is simulated. It is shown that the suggested method is excellent with 100% correct identification of MHS. The method is accurate, fast and cost-efficient in the identification of MHS in power distribution arrangement.

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“…The earliest technique to localize the harmonic sources is utilizing power direction technique, however, this method cannot give accurate results when some harmonics and phase angle beyond 90° [9], [10]. Moreover, a state estimation method is introduced with the implementation of least square and Kirchhoff current law [11]. However, a study [12], showed that state estimation technique requires numerous measurement devices and unreasonable setup cost for the large power system.…”

Section: Introductionmentioning

confidence: 99%

An Improved of Multiple Harmonic Sources Identification in Distribution System with Inverter Loads by Using Spectrogram

Jopri

Abdullah

Manap

et al. 2016

IJPEDS

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This paper introduces an improved of multiple harmonic sources identification that been produced by inverter loads in power system using time-frequency distribution (TFD) analysis which is spectrogram. The spectrogram is a very applicable method to represent signals in time-frequency representation (TFR) and the main advantages of spectrogram are the accuracy, speed of the algorithm and use low memory size such that it can be computed rapidly. The identification of multiple harmonic sources is based on the significant relationship of spectral impedances which are the fundamental impedance (Z1) and harmonic impedance (Zh) that extracted from TFR. To verify the accuracy of the proposed method, MATLAB simulations carried out several unique cases with different harmonic producing loads on IEEE 4-bus test feeder cases. It is proven that the proposed method is superior with 100% correct identification of multiple harmonic sources. It is envisioned that the method is very accurate, fast and cost efficient to localize harmonic sources in distribution system.

show abstract

Harmonic Source Location at the Point of Common Coupling Based on the Nonlinearity Index of Load

Cited by 7 publications

References 8 publications

Harmonic emission level assessment method based on parameter identification analysis

Harmonic emission level assessment method based on parameter identification analysis

An Identification of Multiple Harmonic Sources in a Distribution System by Using Spectrogram

An Improved of Multiple Harmonic Sources Identification in Distribution System with Inverter Loads by Using Spectrogram

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