A method to determine the harmonic contributions of multiple loads

Xu, Wilsun; Bahry, R.; Mazin, Hooman Erfanian; Tayjasanant, Thavatchai

doi:10.1109/pes.2009.5275840

Cited by 28 publications

(22 citation statements)

References 6 publications

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“…In order to accurately estimate the harmonic responsibility of harmonic sources, experts and scholars have conducted a lot of research [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. These methods can be divided into direct algorithms When the harmonic source on each feeder acts independently, harmonic voltage ( .…”

Section: Shortcomings Of Existing Estimation Methodsmentioning

confidence: 99%

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Method for Estimating Harmonic Parameters Based on Measurement Data without Phase Angle

et al. 2020

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The excessive use of power electronics makes power quality problems in power grids increasingly prominent. The estimation of the harmonic parameters of harmonic sources in the power grid and the division of harmonic responsibilities are of great significance for the evaluation of power quality. At present, methods for estimating harmonic parameters and harmonic responsibilities need to provide the amplitude and phase information of the current and voltage of the point of common coupling (PCC). However, in practical engineering applications, the general power quality monitor only provides the amplitude information of the voltage and current of the measured point and the phase difference information between them. Missing phase information invalidates existing methods. Based on the partial least squares regression method, the present work proposes a method for estimating harmonic parameters in the case of monitoring data without phase. This method only needs to measure the amplitude information of the harmonic voltage and current of the PCC and the phase difference between them, then use the measurable data to estimate the harmonic parameters and the harmonic responsibility of each harmonic source. It provides a new way to effectively solve the problem that the measured data of the project has no phase information. The feasibility and effectiveness of the proposed method are proved by simulation data and measured engineering data.

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Section: Shortcomings Of Existing Estimation Methodsmentioning

confidence: 99%

“…In recent years, research on the division of harmonic responsibilities has been carried out step-by-step. The main assessment methods can be divided into "intervention" and "non-intervention" methods [10][11][12][13][14][15][16][17]. At present, non-intervention methods are more commonly used.…”

Section: Introductionmentioning

confidence: 99%

Method for Estimating Harmonic Parameters Based on Measurement Data without Phase Angle

et al. 2020

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“…The above limitations have led to research on the multipoint model. This model contains centralized [ 16 , 17 ] and decentralized [ 18 , 19 , 20 , 21 ] categories as shown in Figure 1 . Nonlinear customers in the centralized model are directly connected at the concerned bus (the PCC).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Harmonic Contributions for Multi Harmonic Sources System Based on Mixed Entropy Screening and an Improved Independent Component Analysis Method

Zhao

Hong-geng

et al. 2020

Entropy

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Evaluating the harmonic contributions of each nonlinear customer is important for harmonic mitigation in a power system with diverse and complex harmonic sources. The existing evaluation methods have two shortcomings: (1) the calculation accuracy is easily affected by background harmonics fluctuation; and (2) they rely on Global Positioning System (GPS) measurements, which is not economic when widely applied. In this paper, based on the properties of asynchronous measurements, we propose a model for evaluating harmonic contributions without GPS technology. In addition, based on the Gaussianity of the measured harmonic data, a mixed entropy screening mechanism is proposed to assess the fluctuation degree of the background harmonics for each data segment. Only the segments with relatively stable background harmonics are chosen for calculation, which reduces the impacts of the background harmonics in a certain degree. Additionally, complex independent component analysis, as a potential method to this field, is improved in this paper. During the calculation process, the sparseness of the mixed matrix in this method is used to reduce the optimization dimension and enhance the evaluation accuracy. The validity and the effectiveness of the proposed methods are verified through simulations and field case studies.

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“…Harmonic phasor data is the preferred method of harmonic emission assessment [9,10]; however, the volume of data resulting is restrictive and time consuming. Engineers require a pragmatic approach to the assessment of harmonic emission from RPPs.…”

Section: Introductionmentioning

confidence: 99%

Harmonic emission assessment on a distribution network: the opportunity for the prevailing angle in harmonic phasors

Peterson¹,

Rens²,

Desmet³

2017

CIRED - Open Access Proceedings Journal

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Harmonic emission assessment in high-voltage networks with a number of renewable power plants (RPP) interconnected is challenging. A sound scientific methodology readily accessible to engineers is needed to validate the compliance to grid code requirement set by the distribution system operator. Harmonic phasors recorded coherently all over the network can cause an impractical volume of data. This study investigates the opportunity to improve existing methodologies by application of the prevailing angle in a harmonic phasor as an approach to significant reduction of data and then demonstrate the evaluation of grid compliance in a network with a number of RPP interconnected. It is shown that the unrelated dynamic nature of the different non-linear energy sources does compromise the practical application of the prevailing harmonic phase angle. It is then concluded that the dynamic nature of RPP necessitates continuous monitoring of grid code requirements on harmonic emission.

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A method to determine the harmonic contributions of multiple loads

Cited by 28 publications

References 6 publications

Method for Estimating Harmonic Parameters Based on Measurement Data without Phase Angle

Method for Estimating Harmonic Parameters Based on Measurement Data without Phase Angle

Evaluation of Harmonic Contributions for Multi Harmonic Sources System Based on Mixed Entropy Screening and an Improved Independent Component Analysis Method

Harmonic emission assessment on a distribution network: the opportunity for the prevailing angle in harmonic phasors

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