Time-Varying Harmonics: Part II-Harmonic Summation and Propagation

Baghzouz, Y.; Burch, Reuben F.; Capasso, A.; Cavallini, A.; Emanuel, A.E.; Halpin, Mark; Langella, R.; Montanari, G.C.; Olejniczak, K.J.; Ribeiro, Paulo F.; Rios-Marcuello, S.; Ruggiero, F.; Thallam, R.S.; Testa, A.; Verde, P.

doi:10.1109/mper.2001.4311111

Cited by 24 publications

(19 citation statements)

References 15 publications

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“…Pursuing comprehensiveness, flexibility and practicality for implementing a supporting tool of the approach, this research proposes a statistical modeling and planning study methodology for investigating the stochastic harmonics and resonance concerns of WPPs. We observe that existing methods, such as random harmonic phasor summation [21] or harmonic summation introduced in the standard IEC 61400-21, are unable to fully capture the harmonic behavior of modern WPPs, and the results from both methods could be misleading [22][23][24]. By incorporating the statistical distribution of each harmonic component of interest from WTs and representing the overall time-varying harmonic behavior of WPPs, system planners can synthesize credible operating scenarios and investigate and collectively quantify harmonics and resonance concerns.…”

Section: Introductionmentioning

confidence: 92%

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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Section: Introductionmentioning

confidence: 92%

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

et al. 2016

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“…In some applications, we encounter a random signal that is composed of the sum of several random sinusoidal signals, e.g., multipath fading in communication channels, clutter and target cross section in radars, interference in communication systems, wave propagation in random media and channels, laser speckle patterns and light scattering and summation of random current harmonics such as the ones produced by high frequency power converters of wind turbines (Baghzouz et al, 2002;Tentzerakis & Papathanassiou, 2007). Any random sinusoidal signal can be considered as a random phasor, i.e., a vector with random length and angle.…”

Section: B) Spectral Power Balance In a Wind Farmmentioning

confidence: 99%

Power Fluctuations in a Wind Farm Compared to a Single Turbine

Mur-Amada¹,

Sallán-Arasanz²

2011

From Turbine to Wind Farms - Technical Requirements and Spin-Off Products

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“…) regardless of the individual variable distributions if the number of WTs is sufficiently large [11], [12], and [14]. The mean value and the standard deviation of the aforementioned variables are given by the following:…”

Section: Stochastic Assessment Of Wind Farm Harmonic Currentsmentioning

confidence: 99%

“…According to that and considering ρ X h Y h the correlation coefficient of the variables, the joint pdf of X h and Y h in (1) is a bivariate normal distribution [11], [12], [14], i.e.,…”

Section: Stochastic Assessment Of Wind Farm Harmonic Currentsmentioning

confidence: 99%

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Deterministic and Stochastic Study of Wind Farm Harmonic Currents

Sainz

Mesas

Teodorescu

et al. 2010

IEEE Trans. Energy Convers.

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Abstract-Wind farm harmonic emissions are a well-known power quality problem, but little data based on actual wind farm measurements are available in literature. In this paper, harmonic emissions of an 18 MW wind farm are investigated using extensive measurements, and the deterministic and stochastic characterization of wind farm harmonic currents is analyzed. Specific issues addressed in the paper include the harmonic variation with the wind farm operating point and the random characteristics of their magnitude and phase angle.

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Time-Varying Harmonics: Part II-Harmonic Summation and Propagation

Cited by 24 publications

References 15 publications

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

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

Power Fluctuations in a Wind Farm Compared to a Single Turbine

Deterministic and Stochastic Study of Wind Farm Harmonic Currents

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