CFP last date
20 January 2025
Reseach Article

Impacts of Wind Power Variations on Frequency Related Power System Operations

by Shahida Khatoon
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 39 - Number 3
Year of Publication: 2012
Authors: Shahida Khatoon
10.5120/4798-7005

Shahida Khatoon . Impacts of Wind Power Variations on Frequency Related Power System Operations. International Journal of Computer Applications. 39, 3 ( February 2012), 8-15. DOI=10.5120/4798-7005

@article{ 10.5120/4798-7005,
author = { Shahida Khatoon },
title = { Impacts of Wind Power Variations on Frequency Related Power System Operations },
journal = { International Journal of Computer Applications },
issue_date = { February 2012 },
volume = { 39 },
number = { 3 },
month = { February },
year = { 2012 },
issn = { 0975-8887 },
pages = { 8-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume39/number3/4798-7005/ },
doi = { 10.5120/4798-7005 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:25:27.354674+05:30
%A Shahida Khatoon
%T Impacts of Wind Power Variations on Frequency Related Power System Operations
%J International Journal of Computer Applications
%@ 0975-8887
%V 39
%N 3
%P 8-15
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Wind power is seen as the most cost effective way to generate electricity from renewable sources. The wind turbine prime mover, wind, is uncontrollable as compared to the conventional power plant prime mover. Therefore, it becomes very important to carry out investigations on the dynamic behavior of wind power generating systems. In this paper, the dynamic model of 1 MVA unit is extrapolated from 100 kW unit existing in NASA –Lewis Research Centre. The various types of investigations are carried out to study the dynamic performance of various states of the model considering variations in the wind speed. At the outset of the work, state space model of the system is developed. To study the dynamic behavior of the system, optimal controllers are designed using full state feedback control strategy. Following the controller designs, the closed loop system eigenvalues and dynamic response plots are obtained. The Strip Eigenvalue Assignment method is applied to design sub-optimal controllers using feedback of few states which are accessible for their observation and measurement. The comparative study of closed loop eigenvalues and dynamic response plots obtained for various operating conditions shows a comparable system dynamic performance. The optimal controllers are designed for various operating conditions using pole placement technique. The dynamic response plots and closed loop eigenvalues are obtained for various system states considering various operating conditions. The investigations of these reveal that the implementation of optimal controllers offer not only good dynamic performance, also ensure system dynamic stability.

References
  1. H. N. Al- Duwaish, Z. M. Al- Hamouz & S. M. Badran, “Adaptive Output Feedback Controller For Wind Turbine Generators Using Neural Networks”, Electric Machines And Power Systems, Vol. 27, pp. 465- 479, 1999.
  2. S. Sivanagaraju, S. Satyanarayana, Electric Power Transmission and Distribution, Pearson, 1st edition, Singapore, 2007 .
  3. P. Schavemaker & L. V. D Sluis, Electrical Power System Essentials, Wiley Eastern Limited, 1st edition, Netherland, June 2008.
  4. A. Chakrabarti & S. Halder, Power System Analysis: Operation and Control?, PHI, 2nd edition, New Delhi, 2007.
  5. M. Gopal, Modern Control System Theory, Wiley Eastern Limited, 1st edition, IIT Delhi, December 1985.
  6. K. Sharma, “Renewable Energy: The Way to Sustainable Development”, Electrical India, vol. 42 No. 14, pp.20- 21, July 2002.
  7. G. D. Rai, Non – Conventional Sources of Energy, Khanna Publishers, New Delhi, 4th edition, 2006.
  8. K.S. Sidhu -Director / Research, Non-Conventional Energy Resources, Punjab Electricity Board, PEC Campus, Chandigarh.
  9. J. M. Carrasco, E. Galván, R. Portillo, L.G. Franquelo & J.T.Bialasiewicz, “Power Electronic Systems for the Grid Integration of Wind Turbines”, Proceedings of the 32nd Annual Conference of the IEEE Industrial Electronics Society. IECON’Paris (France), pp. 4182-4188, November, 2006.
  10. R. Zavadil, N. Miller, A. Ellis & E. Muljadi, “Making Connections with Wind Power”, IEEE Power & Energy Magazine, pp.26-36, 2005.
  11. J. G. Slootweg, “Wind Power Modelling and Impact on Power System Dynamics”, Ph. D Thesis, Technical University, Dleft, Netherland, December, 2003.
  12. F. Wang, “The ‘Third-Category’ Method and Multi-agent”, System Theory in Power System Applications, (The University of Bath, UK), Power Engineering Society General Meeting, IEEE, pp. 1042-1043 Vol. 2, 2005.
  13. R. H. Miller & J. H. Malinowski, Power System Operation, Tata Mc Graw Hill Professional Publishings, Flipkart.com, 3rd edition, 1994.
  14. J. Morren, S. W.H. de Haan, J.A. Ferreira, “Primary Power/Frequency Control with Wind, Turbines and Fuel Cells”, Power Engineering Society General Meeting, IEEE, pp. 8, June 2006.
  15. R. Grünbaum, “Voltage and Power Quality Control in Wind Power Applications By Means of Dynamic Compensation”, ABB Power Systems AB, AC Power Division, Vasteras, Sweden.
  16. Q. Lu, Y. Sun, S. Mei, Non Linear Control Systems and Power Systems Dynamics, Kluwer Academic Publishers, Norwell, Massachusetts, USA, 2002.
  17. M. Gopal, Control System Principles and Design, Tata Mc Graw Hill Publishing Company, New Delhi, India,2nd edition, 2005.
  18. F. L. Lewis, V. L. Syrmos, Optimal Control?, Wiley Eastern Limited, Wiley.com, 2nd edition, 1995.
  19. Ibraheem, “Optimal Load Frequency Control Of An Interconnected Power System Consisting Of Reheat Thermal Plants”, Dissertation Report Of Master of Science In Electrical Engineering, Aligarh Muslim University, 1987.
  20. D. E. Kirk, Optimal Control Theory, Prentice -Hall, 1st edition, 1970.
  21. L. S. Sheih, H. M, Dib, and B. C Miccinis, “Linear Quadratic Regulators with Eigen value Placemant in a Vertical Strip”, IEEE Trans. On Automatic Control, Vol. 31, No. 3, pp. 241- 243, 1986.
  22. Hardiyansyah, S. Furuya, and J. Irisawa, “Optimal Power System Stabilization via Output Feedback Excitation Control”, pp. 21-28, 1999.
  23. Y. C. Lee, C. J. Wu, “Damping of Power System Oscillations with Output Feedback and Strip Eigenvalue Assignment”, IEEE Trans., Power Systems, Vol. 10, No. 3, pp. 1620- 1626, 1995.
  24. K. Ogata, Modern Control Engineering, Pearson Education Asia, Singapore, 1st edition, 2002.
  25. T. Kailath, Linear Systems, Prentice-Hall, 1980.
  26. J. Kautsky & N.K. Nichols, "Robust Pole Assignment in Linear State Feedback," International Journal Control, Vol. 41, pp. 1129-1155, 1985.
  27. A.J. Laub & M. Wette, “Algorithms and Software for Pole Assignment and Observers”, UCRL-15646 Rev. 1, EE Dept., Univ. of Calif., Santa Barbara, CA, Sept. 1984.
  28. B. Rabelo & W. Hofmann, “Optimal Reactive Power Splitting with the Doubly Fed Induction Generators for Wind-Turbine”, Proceedings of DEWEK, CD. Wilhemshaven, Germany, October 2002.
  29. B. Rabelo, W. Hofmann, & M. Tilscher, A. Basteck, “Voltage Regulator for Reactive Power Control on Synchronous Generators in Wind Energy Power Plants”, NORPIE Trondheim, Norway, 2004
  30. F. P. De Mellow, & C. Concordia, “Concepts of Synchronous Machine Stability as Affected by Excitation System Control”, IEEE Trans. PAS, Vol. 88, pp. 316- 329, 1969.
  31. R. Thomas, R. Puthoff, J. Savino, & W. Johnson, “Plans and Status of the NASA-L ewis Research Centre Wind Energy Projects”, Joint IEEE/ASME Power Conf., Portland, OR, Paper no. NTIS N75 - 21795, 1975.
  32. K. R. Padiyar, Power System Dynamics, B. S. Publications, Hyderabad, India, 2nd edition, 2006.
  33. H. Hwang, L. J. Gilber, “Synchronization of Wind Turbine Generators Against an Infinite Bus under Gusting Conditions”, IEEE Trans., PAS, Vol. 97, pp. 536- 544, 1978.
Index Terms

Computer Science
Information Sciences

Keywords

The Strip Eigenvalue Assignment method dynamic response plots optimal controllers eigenvalue