Integrated Wind Power Forecasting Methodology: Interval Estimation Of Wind Speed, Operation Probability Of Wind Turbine, And Conditional Expected Wind Power Output Of A Wind Farm

The article presents a novel quantitative methodology for wind farm management. The methodology starts by forecasting the time series mean and volatility of wind speed. The forecasting of wind speed mean and its volatility is built on an autoregressive moving average model with a generalized autoreg...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of green energy Jg. 10; H. 2; S. 151 - 176
Hauptverfasser: Liu, Heping, Shi, Jing, Erdem, Ergin
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Philadelphia, PA Taylor & Francis Group 2013
Taylor & Francis
Schlagworte:
Applied sciences
ARIMA
Economic data
Electric energy
Energy
Energy economics
equations
Exact sciences and technology
farm management
GARCH
General, economic and professional studies
heteroskedasticity
Intervals
Management
Mathematical models
Methodology
Methodology. Modelling
Natural energy
prediction
probability
time series analysis
Time series forecasting
Volatility
Wind energy
Wind power
Wind speed
Wind turbines
Volatility
Time series
Wind velocity
Time series forecasting
Autoregressive model
Forecasting
Wind energy
Electricity
Wind speed
ARIMA
GARCH
Production capacity
Electric power production
Wind power
ISSN:1543-5083, 1543-5075, 1543-5083
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The article presents a novel quantitative methodology for wind farm management. The methodology starts by forecasting the time series mean and volatility of wind speed. The forecasting of wind speed mean and its volatility is built on an autoregressive moving average model with a generalized autoregressive conditional heteroscedasticity process, namely an ARMA-GARCH model. With the prediction of wind speed mean and its volatility, the article establishes the interval estimation of wind speed which makes the prediction of wind speed more accurate and reliable. To facilitate the quantitative management of wind farm, the operation probability (OP) of wind turbine is formulated according to the interval estimation of wind speed. Based on the characteristics power curve of wind turbine, the article develops the conditional expected wind power output equation (CEWPOE). The interval estimation of wind speed, the OP of wind turbine, and the CEWPOE thus comprise an integrated methodology for the quantitative management of wind farm operations.
Bibliographie:http://dx.doi.org/10.1080/15435075.2011.647170
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1543-5083
1543-5075
1543-5083
DOI:10.1080/15435075.2011.647170