Time-varying harmonics. I. Characterizing measured data

Baghzouz, Y.; Burch, Reuben F.; Capasso, A.; Cavallini, A.; Emanuel, A.E.; Halpin, Mark; Imece, A.F.; Ludbrook, A.; Montanari, G.C.; Olejniczak, K.J.; Ribeiro, Paulo F.; Rios-Marcuello, S.; Tang, Lijun; Thaliam, R.; Verde, P.

doi:10.1109/61.686996

Cited by 111 publications

(37 citation statements)

References 8 publications

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“…The main idea is to decompose the transient signal in groups of energy and then apply the STFT only to the groups related to the transients. Nevertheless, even with such a prior separation, the method inherits the known problems of the STFT when the analysis of transients [4], [6], [7] must be executed.…”

Section: B Time-frequency Representationsmentioning

confidence: 99%

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A survey of techniques applied to non-stationary waveforms in electrical power systems

Rodrigues

Silveira

Ribeiro

2010

Proceedings of 14th International Conference on Harmonics and Quality of Power - ICHQP 2010

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Section: B Time-frequency Representationsmentioning

confidence: 99%

“…However, when applied to analyze non-stationary data, it becomes evident their limitations [4]- [7]. As a consequence, there is the necessity of developing new techniques capable of offering proper handling and understanding of non-stationary waveforms.…”

Section: Introductionmentioning

confidence: 99%

A survey of techniques applied to non-stationary waveforms in electrical power systems

Rodrigues

Silveira

Ribeiro

2010

Proceedings of 14th International Conference on Harmonics and Quality of Power - ICHQP 2010

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“…Probabilistic aspects of harmonics in electric power systems especially due to dynamic nonlinear loads have long been observed, and numerous research efforts suggest that statistical representations and analyses of time-varying harmonics are desired and present methods for determining the statistical distributions of harmonics and limits [10][11][12][13][14]. However, little effort for representing harmonic characteristics of the renewable generation has been exerted in system planning studies.…”

Section: Introductionmentioning

confidence: 99%

A Framework to Analyze the Stochastic Harmonics and Resonance of Wind Energy Grid Interconnection

et al. 2016

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This paper addresses a modeling and analysis methodology for investigating the stochastic harmonics and resonance concerns of wind power plants (WPPs). Wideband harmonics from modern wind turbines (WTs) are observed to be stochastic, associated with real power production, and they may adversely interact with the grid impedance and cause unexpected harmonic resonance, if not comprehensively addressed in the planning and commissioning of the WPPs. These issues should become more critical as wind penetration levels increase. We thus propose a planning study framework comprising the following functional steps: First, the best fitted probability density functions (PDFs) of the harmonic components of interest in the frequency domain are determined. In operations planning, maximum likelihood estimations (MLEs) followed by a chi-square test are used once field measurements or manufacturers' data are available. Second, harmonic currents from the WPP are represented by randomly-generating harmonic components based on their PDFs (frequency spectrum) and then synthesized for time domain simulations via inverse Fourier transform. Finally, we conduct a comprehensive assessment by including the impacts of feeder configurations, harmonic filters and the variability of parameters. We demonstrate the efficacy of the proposed study approach for a 100-MW offshore WPP consisting of 20 units of 5-MW full converter turbines, a realistic benchmark system adapted from a WPP under development in Korea and discuss lessons learned through this research.

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“…(The PDFs have the advantage of clearly showing the minimum and maximum values of a sample.) Another study was performed in [10] taking measurements from two sights for a 6 hours period with a 1 minute intervals and again the results (THD C and THD V ) were presented statistically on histograms and CDFs. The advantage of CDFs is that they show the percentage of the time (from the study period) the THD will be below a certain value, however, the probability of the maximum THD values, which could be critical for some purposes, is missed.…”

mentioning

confidence: 99%

Probabilistic assessment of the impact of distributed generation and non-linear load on harmonic propagation in power networks

Abdel-Rahman

Liao

et al. 2014

2014 Power Systems Computation Conference

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-The paper investigates the uncertainties involved in the assessment of annual harmonic performance of a distribution network with distributed generation and non-liner loads. Considering a random variable locations and injections of harmonic sources, both generation and load, a probabilistic assessment of harmonic propagation through the network is performed. The influence of variable and diverse distributed generation in particular is clearly documented.

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Time-varying harmonics. I. Characterizing measured data

Cited by 111 publications

References 8 publications

A survey of techniques applied to non-stationary waveforms in electrical power systems

A survey of techniques applied to non-stationary waveforms in electrical power systems

A Framework to Analyze the Stochastic Harmonics and Resonance of Wind Energy Grid Interconnection

Probabilistic assessment of the impact of distributed generation and non-linear load on harmonic propagation in power networks

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