A Benchmark Test System to Evaluate Methods of Harmonic Contribution Determination

Papič, I.; Matvoz, D.; Spelko, Aljaz; Xu, Wilsun; Wang, Yan; Mueller, D.; Miller, Carl C.; Ribeiro, Paulo F.; Langella, R.; Testa, A.

doi:10.1109/tpwrd.2018.2817542

Cited by 51 publications

(32 citation statements)

References 11 publications

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“…With the access of high permeability distributed generation to power grid and the popularization of the electric vehicles, the harmonic pollution caused by a large number of power electronic devices such as rectifiers and inverters in power systems has become an increasingly serious problem [1]- [3]. Accurate assessment of harmonics contribution on utility side and customer side is conducive to the implementation of rewards and punishments, which can achieve the purpose of suppressing harmonic emissions and controlling harmonics [4].…”

Section: Introductionmentioning

confidence: 99%

Study on Harmonic Impedance Estimation and Harmonic Contribution Evaluation Index

Liu

Jiang

et al. 2020

IEEE Access

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Harmonic impedance estimation and suitable evaluation index selection are the key steps of harmonic contribution evaluation. Most of the traditional harmonic impedance estimation methods are only applicable to the scenario, where the background harmonic is stable and the utility impedance is constant. However, this scenario will change in many cases due to the fluctuation of harmonic, the change of system operation mode and so on. In order to improve the estimation accuracy for harmonic impedance, a harmonic impedance estimation method is proposed in this paper based on similarity measure and ordering points to identify the clustering structure (OPTICS). The total harmonic contribution index and harmonic comprehensive contribution index are proposed based on subjective analytic hierarchy process to simplify the evaluation results. Simulation analysis and their comparison with the traditional methods reveal that the proposed harmonic impedance estimation method can reduce the influence of background harmonic voltage fluctuation and utility impedance change, making the harmonic impedance estimation result more accurate. Besides, the proposed total harmonic contribution index and harmonic comprehensive contribution index can effectively simplify contribution evaluation results, which provide a new methodology for the evaluation of harmonic contribution.

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Section: Introductionmentioning

confidence: 99%

Study on Harmonic Impedance Estimation and Harmonic Contribution Evaluation Index

Liu

Jiang

et al. 2020

IEEE Access

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“…The methods proposed to determine the harmonic responsibility are commonly based on the index of voltage harmonic vector (VHV) at the PCC [4][5][6][7][8][9][10], which are mainly classified into two categories, namely, the harmonic impedance-based approach and the measured data-based approach. Harmonic impedance estimation is mostly carried out in light of noninvasive methods, which will not interfere with the normal operation of the system in a Correspondence to: Hongkun Chen.…”

Section: Introductionmentioning

confidence: 99%

Background Harmonic Probabilistic Model for Harmonic Responsibility Assessment Based on Nonparametric Methods

Ding

Chen

2020

IEEJ Transactions Elec Engng

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As the increasing integration of inverter‐interfaced renewable energy generators intensifies the volatility and uncertainty of background harmonics in the utility system, it is crucial to construct a precise background harmonic model and determine the harmonic responsibility to promote harmonic management. This paper proposes a probabilistic model of background harmonics for harmonic responsibility assessment based on nonparametric methods. First, the amplitude data of background harmonic voltage are segmented in chronological order considering the stochastic features. Then, the nonparametric Bootstrap resampling is introduced to handle the case of insufficient samples, and the Kernel density estimation with optimal bandwidth is used to depict the probability distribution characteristics in each time interval. For the sake of identifying the piecewise probability density function with optimal fitting effect, the goodness‐of‐fit test is subsequently applied. Finally, based on the proposed background harmonic probabilistic model, the harmonic responsibility assessment is conducted without the involvement of phase angle information. The detailed performance verification of the proposed model is carried out in light of the field‐measured data. The results validate that the proposed model outperforms the conventional parametric models in handling insufficient data and fitting accuracy and is helpful to achieve the effective quantification of the overall harmonic responsibility within a period of time. © 2020 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

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“…Uma terceira variação do método de injeção de correntes inter-harmônicas é indicada e utilizada no artigo de apresentação do Benchmark IEEE-HCD [24].…”

Section: Injeção De Correntes Inter-harmônicas Senoidais Em Pacotesunclassified

“…Ademais, caso seja desejado, é possível incluir, segundo orientações contidas em [24], distorções pré-existentes na rede (background distortions) pela conexão de fontes de tensão harmônicas, nas frequências de interesse, em série com fonte de tensão fundamental em AT.…”

Section: Injeção De Correntes Do Tipo Gaussiana Moduladaunclassified

“…Retificador trifásico controlado a tiristor -CARGA 01 e CARGA 02.Fonte: Adaptado de[24].O Consumidor 01 também possui um banco de capacitores conectado à sua barra BT (BC 01) para correção de fator de potência. Tal banco é modelado pela conexão delta das unidades capacitivas (CBT), com resistores série conectados aos terminais de alimentação (RCBT), conforme mostrado na Figura 9.…”

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Compartilhamento de responsabilidades harmônicas: implementação de Benchmark do IEEE e aplicação de metodologias

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A Benchmark Test System to Evaluate Methods of Harmonic Contribution Determination

Cited by 51 publications

References 11 publications

Study on Harmonic Impedance Estimation and Harmonic Contribution Evaluation Index

Study on Harmonic Impedance Estimation and Harmonic Contribution Evaluation Index

Background Harmonic Probabilistic Model for Harmonic Responsibility Assessment Based on Nonparametric Methods

Compartilhamento de responsabilidades harmônicas: implementação de Benchmark do IEEE e aplicação de metodologias

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