ANN Based Prediction of Wind and Wind Energy

N. Mrabet Bellaaj; L. Bouzidi; Mohamed Elleuch

doi:10.15866/irecon.v2i2.1969

ANN Based Prediction of Wind and Wind Energy

N. Mrabet Bellaaj^(1*), L. Bouzidi⁽²⁾, Mohamed Elleuch⁽³⁾

^(*) Corresponding author

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Abstract

Accurate wind power energy forecasting in the electric grid supply provides a significant tool for optimizing operating costs. In this paper, wind power forecasting of one turbine at the Sidi Daoud wind farm (Tunisia) is treated by the Artificial Neural Network (ANN) technique. Measured data from this wind farm have been used to develop an ANN solution. This model shows a satisfactory estimation of wind power production under variable wind conditions. After filtering and treating measured data, the most influential are considered as ANN inputs: specifically the wind speed and direction, the temperature, the pressure and the previous power production. As weather prediction is not available at this farm, a recurrent Neural Network is proposed using a real data base to predict the wind speed and direction for two hours ahead. This prediction allows the creation of a short-term wind power energy forecast. Results thus achieved are tested with real data
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Keywords

Prediction; Wind Power; Data Filtering; Artificial Neural Networks

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References

G.M.Ngala, B.Alkali, M.A.Aji, “Viability of wind energy as a power generation source in Maiduguri, Borno state, Nigeria”, ELSEVIER, Renewable Energy 32, pp.2242–2246, 2007.

Bouzidi Lotfi, Mrabet Bellaaj Najiba, Eleuch Mohamed, “Développement d’un Modèle Neuronal en vue de l’intégration de l’Energie Eolienne au Dispatching Electrique”, CERE, 2006, Tunisia.

Ignatio Marti, Daniel Cabeson, Javier Villanueva, Maria Jesus Sanisidro, Yolanda Loureiro, Elna Cantero and Javier Sanz, “LocalPred and RegioPred. Advanced tools for wind energy prediction in complex terrain”, European Wind Energy Conference and Exhibition, Madrid, 2003.

P.Pinson, N.Siebert, G.Kariniotakis, “Forecasting of Regional Wind Generation by a Dynamic Fuzzy- Neural Networks Based upscaling approach”, European wind energy Conference & Exhibition EWEC , Madrid, Spain, 2003.

Sousso Kélouani, Kodjo Agbossou, “ Non linear Model Identification of Wind Turbine with Neural Network”, IEEE Transactions on Energy Conversion, Vol. 19, N°. 3, pp607-612, September 2004.

Paul G.Harrald and Harrald and Mark Kamstra, “Evolving Artificial Neural Networks to Combine Financial Forecasts”, IEEE Transactions on Evolutionary computation, Vol. 1, N°. 1, pp40-52, April 1997.

T.H.M. El-Fouly, E.F..El-Saadany, M.M.A.Salama, “Improved Grey Predictor rolling model for wind power prediction”, IET Generation, Transmission & Distribution, vol 1, issue 6, pp.929-937, November 2007.

Ionnis G.Damousis, Minas C. Alexiadis, John B. Theocharis, Petros S; Dokopoulos, “ A Fuzzy Model for wind Speed Prediction and Power Generation in Wind Parks Using Spatial Correlation”, IEEE Transactions on Energy Conversion, Vol. 19, N°. 2, pp 352-361, June 2004.

T.G.Barbounis, J,B. Theocharis, “A Locally Recurrent Fuzzy Neural Network for wind Speed Prediction using spatial correlation”, International Conference on Machine Intelligence, 2005, Tunisia.

Soteris A. Kalogirou,“Applications of artificial neural-networks for energy systems,” Elsevier, Applied Energy, pp17-37, 2000.

Wind Energy situation and prospects, [Online]. Available: http://www.afriwea.org/en/tunesia.htm

Shuhui Li, “Wind Power Prediction using recurrent Multilayer Perceptron Neural Networks”, Power Engineering Society General Meeting,V°4, pp2325-2330, july 2003.

A Liombar, C.Pueyo, J.M.Fandos, J.J.Guerrero, “Robust data filtring in wind power systems”, EWEC, pp.149-151, 2006.

Bimal K. Bose, “Neural Network Applications in Power Electronics and Motor Drive- an Introduction and Perspective”, IEEE Transactions on Industrial electronics, Vol. 54, N°. 1, pp14-33, February 2007.

Shuhui Li, Donald C. Wunsch, Edgar O’Hair,Michael G. Giesselmann, ”Comparative Analysis of Regression and Artificial Neural Network Models for Wind Turbine Power Curve Estimation”, Journal of Solar Energy Engineering, Vol. 123, pp 327-332, November 2001.

Barbounis T.G, Theocharis J.B,. Alexiadis M.C, Dokopoulos P.S, “Long-term Wind Speed and Power Forecasting Using Local Recurrent Neural Network Models”, IEEE Transactions on Energy Conversion, Vol. 21, N° 1, pp273-281 Mars 2006.

Shuhui Li, Don C. Wunsch, Edgar O’Hair, Michael Giesselmann, “using Neural Networks to Estimate Wind Turbine Power Generation”, IEEE Transactions on Energy Conversion, vol.16, N° 3, pp.276–282, September 2001.

Juan M;Mejia, Farid Chejne, Ricardo Smith, Luis F.Rodriguez, Oscar Fernandez, Isaak Dyner, “Simulatin of wind energy output at Guajira, Colombia”, Elsevier, Renewable Energy 31 pp.383–399, 2006.

Shuhui Li, Don C. Wunsch, Edgar O’Hair, Michael Giesselmann, “Neural Network for wind power generation with compressing function”, IEEE International Conference on Neural Network, Houston pp. 115-120, June 1997.

Soteris A. Kalogirou “Artificial intelligence for the modeling and control of combustion processes: a review”, Pergamon, Progress in Energy and Combustion Science 29, pp. 515–566, 2003.

M.Carolin Mabel, E.Fernandez, “Analysis of wind power generation and prediction using ANN: a case study”, Elsevier, Renewable Energy 32, pp.2350–2360, 2007.

MathWorks Neural Network Toolbox User’s Guide, 2001.

Erasmo Cadenas, Wilfrido Rivera, “Wind speed forecasting in the south Coast of Oaxaca, México”, ELSEVIER: Renewable Energy 32, pp2116-2128; 2007.

Mehmet Bilgili, Besir Sahin_, Abdulkadir Yasar, “Application of artificial neural networks for the wind speed prediction of target station using reference stations data”, Elsevier, Renewable Energy 32, pp.2350–2360, 2007.

Anurag More, M.C.Deo, “Forecasting wind with neural networks”, ELSEVIER: Marine Structures 16, pp35-49; 2003.

Soteris A. Kalogirou,” artificial neural networks in renewable energy systems applications: a review”, Pergamon, Renewable & sustainable energy reviews, N°5, pp373-401, 2001.

S.M.Moghaddas-Tafreshi, D.Panahi, “One-hour-ahead forecasting of wind turbine power generation using artificial neural networks”, International Journal of Civil Engineering, vol.5, N°25, 2007.

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