On Optimal Functioning of the Aeolian Electro-Power Systems

Abstract:

The paper approaches the possibility of power functioning of the Aeolian systems. Power Aeolian systems, due to high inertia moments and rapid variation in time of the wind speed cannot constantly function on the maximum power point. Therefore it must be considered the matter of determining the optimal functioning speed of the Aeolian device on the basis of evaluating the momentary wind speed in order to get maximum of electric power. The calculation is based upon an original mathematical model for the wind turbine TV and an experimental direct follow of the wind speed in time. Actually, it is presented the way of loading the generator according to the wind speed.etc.

• Periodical: Advanced Materials Research (Volume 853)
• Pages: 345-351
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.853.345
• Online since: December 2013
• Authors: Calin Chioreanu*, Marius Babescu
• Keywords: Conducting, Electric Generator, Load Assignment, Mathematical Models of the Wind Turbine, Maximum Power, Simulation, Variable Wind Speed

References

[1] M. Babescu -Maşina Sincronă -Modelare-Identificare-Simulare-, ISBN 973-625-021-0, Editura POLITEHNICA Timişoara, (2003).

[2] M. Babescu -Surse Statice de Energie Electrică, ISBN 978-973-625-427-7, Editura POLITEHNICA Timişoara, (2007).

[3] A. Bej-Turbine de vânt-ISBN 973-625-098-9, Editura POLITEHNICA Timişoara, (2003).

[4] M.C. Mabel and E. Fernandez, Estimation of Energy Yield From Wind Farms Using Artificial Neural Networks, IEEE Trans. Energy Convers., vol. 24, no. 2, pp.459-464 June, (2009).

DOI: 10.1109/tec.2008.2001458

[5] S. Fan, J.R. Liao, R. Yokoyama, L. Chen, and W. -J. Lee, Forecasting the Wind Generation Using a Two-Stage Network Based on Meteorological Information, IEEE Trans. Energy Convers., vol. 24, no. 2, pp.474-482 June, (2009).

DOI: 10.1109/tec.2008.2001457

[6] W. Qiao, R.G. Harley, and G.K. Venayagamoorthy, Coordinated Reactive Power Control of a Large Wind Farm and a STATCOM Using Heuristic Dynamic Programming, IEEE Trans. Energy Convers., vol. 24, no. 2, pp.493-503 June, (2009).

DOI: 10.1109/tec.2008.2001456

[7] J.M. Mauricio, A.E. Leon, A. Gomez-Exposito, and J.A. Solsona, An Adaptive Nonlinear Controler for DFIM-Based Wind Energy Conversion Systems, IEEE Trans. Energy Convers., vol. 23, no. 4, pp.1025-1035 December, (2008).

DOI: 10.1109/tec.2008.2001441

[8] H. Banakar and B.T. Ooi, Clustering of Wind Farms and its Sizing Impact, IEEE Trans. Energy Convers., vol. 24, no. 4, pp.935-942 December, (2009).

DOI: 10.1109/tec.2008.2001454

[9] H. Li, Z. Chen, and H. Polinder, Optimization of Multibrid Permanent-Magnet Wind Generator Systems, IEEE Trans. Energy Convers., vol. 24, no. 1, pp.82-92, March, (2009).

DOI: 10.1109/tec.2008.2005279

[10] R. Fadaeinedjad, G. Moschopoulos, and M. Moallem, The Impact of Tower Shadow, Yaw Error, and Wind Shears on Power Quality in a Wind-Diesel System, IEEE Trans. Energy Convers., vol. 24, no. 1, pp.102-111, March, (2009).

DOI: 10.1109/tec.2008.2008941

[11] A. Kusiak, H. Zheng, and Z. Song, Short-Term Prediction of Wind Farm Power: A Data Mining Approach, IEEE Trans. Energy Convers., vol. 24, no. 1, pp.125-136, March, (2009).

DOI: 10.1109/tec.2008.2006552

[12] M. Shahabi, M.R. Haghifam, M. Mohamadian, and S.A. Nabavi-Niaki, Microgrid Dynamic Performance Improvement Using a Doubly Fed Induction Wind Generator, IEEE Trans. Energy Convers., vol. 24, no. 1, pp.137-145, March, (2009).

DOI: 10.1109/tec.2008.2006556