Simulation of hourly wind speed and array wind power

Chou, Karen C.; Corotis, Ross B.

doi:10.1016/0038-092x(81)90204-8

Cited by 72 publications

(30 citation statements)

References 5 publications

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“…Large number of measured data show that the wind speed in a region subject to two-parameter Weibull distribution approximately [7] , the probability density function is…”

Section: A Stochastic Modelsmentioning

confidence: 99%

Probabilistic Evaluation to Voltage beyond Limits of Power System Taking Account of Zero Output State of Wind Power Farm

Niu¹,

Yang²,

Cai³

2012

2012 Asia-Pacific Power and Energy Engineering Conference

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To analyze quantitatively the voltage beyond limits of power system including wind farms, based on the establishment of probabilistic model of wind generation output and load, proposes a model of probabilistic evaluation to voltage beyond limits of power system taking account of zero output state of wind power farm. Considers the state of zero power output of WPG to be an incident, which occurs with a given probabilistic, with computational tools based on probabilistic load flow of cumulant method, calculate the conditional probabilistic to voltage beyond limits of system under a single incident occurred, then obtain the probabilistic to voltage beyond limits of system according to total probability formula. Example of IEEE30 system calculates the probabilistic to voltage beyond limits of system under the zero output states of wind farms at different nodes, analyzes the impact on the probabilistic to voltage beyond limits of system coused by every wind farm by sorting. Simulation results shows that the model and algorithm can provide a reference for the operation department. Keywords-stochastic model; cumulant method; zero output state of wind power farm; probabilistic to voltage beyond limits

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“…Large number of measured data show that the wind speed in a region subject to two-parameter Weibull distribution approximately [7] , the probability density function is…”

Section: A Stochastic Modelsmentioning

confidence: 99%

Probabilistic Evaluation to Voltage beyond Limits of Power System Taking Account of Zero Output State of Wind Power Farm

Niu¹,

Yang²,

Cai³

2012

2012 Asia-Pacific Power and Energy Engineering Conference

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show abstract

“…The first group includes the average wind speed v, standard deviation of wind speed s, and persistence f. The persistence of wind speed has often been expressed by researchers in terms of graphics and associated with terms like 'mean duration of wind speed' (run length), 'reference wind speed' (run levels) and 'auto-correlation of wind speed'. As an auto-correlation model, a complex equation based on the Weibull distribution has been used for correlating a given wind speed value with the previous one [29]. In the present study, the persistence of the wind is calculated in a similar manner to the solar radiation persistence as a correlation coefficient between the daily wind speeds on successive days by,…”

Section: System Performance and Analysis Of Data Usedmentioning

confidence: 99%

A simplified model for estimating yearly wind fraction in hybrid-wind energy systems

Çeli̇k

2006

Renewable Energy

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“…K.C. Chou et al [2] and M. Blanchard et al [3] have attempted to represent the fluctuations of hourly wind speed data using autoregressive moving average (ARMA) models or Box-Jenkins models. B.G.…”

Section: Introductionmentioning

confidence: 99%

Short-term forecasting of wind speed based on recursive least squares

Zhang

et al. 2011

2011 International Conference on Electrical and Control Engineering

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To properly manage the variability of wind generation, this paper presents an adaptive procedure for short-term forecasting of wind speed based on recursive least squares. Firstly, hourly wind speed data are transformed to make their distribution approximately Gaussian and standardized to remove the diurnal nonstationarity. Then, the procedure fits an AR model to the standardized transformed hourly wind speed data. Finally, the parametric AR model is regularly updated during online operation by a recursive least squares algorithm. The hourly wind speed data from a wind power site located in Hong Kong validate that the adaptive AR model can effectively forecast wind speed for horizons up to a few hours ahead.

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Simulation of hourly wind speed and array wind power

Cited by 72 publications

References 5 publications

Probabilistic Evaluation to Voltage beyond Limits of Power System Taking Account of Zero Output State of Wind Power Farm

Probabilistic Evaluation to Voltage beyond Limits of Power System Taking Account of Zero Output State of Wind Power Farm

A simplified model for estimating yearly wind fraction in hybrid-wind energy systems

Short-term forecasting of wind speed based on recursive least squares

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