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The Impacts of Distributed Generation Using High Speed Wind Turbines on Power System Transient Stability

Received: 14 November 2014     Accepted: 19 November 2014     Published: 27 December 2014
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Abstract

Wind power generation source differs in several respects from conventional sources of energy like hydro and thermal. Furthermore, wind generators are usually based on different generator technologies other than the conventional synchronous generators. The stochastic nature of wind, makes it very difficult to control the generator power output. Most wind turbines are based on induction generators which consume reactive power just like induction motors during system contingency, which in turn deteriorates the local grid stability. This paper proposes to study and analyze the impact of distributed generation using high speed wind turbines on power systems transient stability. This is achieved using a simplified model of the IEEE 30 bus system which replicates the Kenyan grid system. The base line case simulations were carried out using Dig SILENT Power factory version 14.0 software and results recorded. Thereafter, a Double Fed Induction Generator (DFIG) model was integrated to the system and various faults introduced in the system. The results showed that, the addition of the DFIGs to a power system network, does not negatively affect the stability of the system. It was evident that even with increased penetration of wind power up to 10.2%, the system showed a high degree of transient stability. Consequently, from the simulation results, as the system approaches stability, the swings are more or less of equal magnitude. As the penetration level of DFIGs increased from 0% to 10.2%, the critical clearing time also increased. This clearly shows that the transient stability of the power system is improved by DFIG penetration in the power network.

Published in International Journal of Energy and Power Engineering (Volume 4, Issue 2-1)

This article belongs to the Special Issue Electrical Power Systems Operation and Planning

DOI 10.11648/j.ijepe.s.2015040201.15
Page(s) 52-62
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2014. Published by Science Publishing Group

Keywords

DFIG Model, Dig SILENT, Stability, Synchronous Generator

References
[1] LCPDP Report, (2010): “Update of the Least Cost Power Development Plan 2010-2030”Kenya Power and Lighting and Ministry of Energy Nairobi.
[2] C.Nichita, D. Luka, B. Dayko, E. Ceanga, Large band simulation of wind speed for real time wind turbine simulators. Power Engineering Review IEEE, 22(8), 2002, 63-65.
[3] V. Akhmatov, “An Aggregate Model of a Grid-Connected, Large-Scale, Offshore Wind Farm for Power Stability Investigations - Importance of Windmill Mechanical System,” Electrical Power and Energy Systems, vol. 24, pp. 709–717, 2002
[4] A. Petersson, “Analysis, Modeling and Control of Doubly-Fed Induction Generators for Wind Turbines,” Ph.D. dissertation, Chalmers University of Technology, 2005
[5] H.Bayem, Y. Phulpin, Desante, J. Bect, Probabilistic computation of wind farm power generation based on wind turbine dynamic modeling.10th International Conference on Probabilistic Methods Applied to Power Systems-.PMAPS 2008, Porto Rico, 1-6
[6] R.Billington, H.Chen, R.Ghajar, Time series models for reliability evaluation of power systems including wind energy. Microelectronics Reliability, 36(9), 1996, 1253-1261.
[7] T. Allerton, Simulating the distribution and cross correlation of wind farm output, ESG164: Heriot-Watt University. The Knowledge Transfer Network for Industrial Mathematics, The international centre for mathematical sciences 2008 Report.
[8] H.Aksoy Fuat, Z. Toprak Aytek A. Erdem Nal, (2004).Stochastic generation of hourly wind data. El-Sevier – Renewable Energy,29(14),2004,2111-2131.
[9] E.Kremers, P.Viejo, Simulations of energy system scenarios for regional planning decision making using agent based modeling.11th int. conf. on computers in urban planning and urban management. Hongkong, June 2009.
[10] E. Kremers, L. Lewald Barambones. O. Gonzalez de Durana, argent –based multi-scale wind generation model. Proceedings of the ninth IASTED European conference power and energy systems (Euro 2009) Palma de Mallorea Spain.
[11] R. Chedid Akiki and S. Rahman, A decision support technique for the design of the hybrid solar-wind power systems. IEEE transactions on Energy Conversion, 13(1), 1998, 76-83.
[12] D. Fernando, Bianchi, Harnan De Battista, J.M. Ricardo, Wind turbine control system. Advances in industrial control series Springer (2007).
[13] Vladislav Akhamatov, Variable speed wind turbines with Doubly-Fed Induction Generators, Wind Engineering vol 26, n.2,pp85-108,2002.
[14] Y.D.Song, Dhinakaran, X.Y.Bao, Variable speed control of speed turbines using non-linear and adaptive algorithms, Journal of wind engineering and industrial aerodynamics.,85, pp293-308, (2000).
[15] R. Pena, J.C. Clare, and G.M Asher, Doubly fed induction generator using back to back PWM converters and its application to variable speed wind-energy generation. Proc. Inst. Elect. Eng., vol 143, no 3pp231-241,(1996).
[16] Q.Wei, Z. Wei, J.M. Aller, and G.H.Ronald, Wind speed estimation based Sensor less Output Maximization Control for Wind Turbine Driving a DFIG IEEE Trans. On power electronics, vol 23, no 3 pp1156-1169,(2008).
[17] G.M. Herbert, S.Iniyan Sree-Valsan, S. Rajapandian, A review of wind energy technologies, Renewable and Sustainable energy reviews, 11, pp1117-1145, (2007)..
[18] H. Siegfried ,Grid integration of wind energy conversion systems John Wiley and Sons Ltd 1998 ISBN 0-471-97143-X.
[19] L.Yazho Mullane, G. Lightbody, and Yacamini, Modeling of the wind turbine with a Doubly Fed Induction Generator for Grid integration studies.IEEE transactions on Energy Conversion, 13(1), 1998, 76-83.
Cite This Article
  • APA Style

    Annastacia Maina, Michael J. Saulo. (2014). The Impacts of Distributed Generation Using High Speed Wind Turbines on Power System Transient Stability. International Journal of Energy and Power Engineering, 4(2-1), 52-62. https://doi.org/10.11648/j.ijepe.s.2015040201.15

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    ACS Style

    Annastacia Maina; Michael J. Saulo. The Impacts of Distributed Generation Using High Speed Wind Turbines on Power System Transient Stability. Int. J. Energy Power Eng. 2014, 4(2-1), 52-62. doi: 10.11648/j.ijepe.s.2015040201.15

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    AMA Style

    Annastacia Maina, Michael J. Saulo. The Impacts of Distributed Generation Using High Speed Wind Turbines on Power System Transient Stability. Int J Energy Power Eng. 2014;4(2-1):52-62. doi: 10.11648/j.ijepe.s.2015040201.15

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  • @article{10.11648/j.ijepe.s.2015040201.15,
      author = {Annastacia Maina and Michael J. Saulo},
      title = {The Impacts of Distributed Generation Using High Speed Wind Turbines on Power System Transient Stability},
      journal = {International Journal of Energy and Power Engineering},
      volume = {4},
      number = {2-1},
      pages = {52-62},
      doi = {10.11648/j.ijepe.s.2015040201.15},
      url = {https://doi.org/10.11648/j.ijepe.s.2015040201.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.s.2015040201.15},
      abstract = {Wind power generation source differs in several respects from conventional sources of energy like hydro and thermal. Furthermore, wind generators are usually based on different generator technologies other than the conventional synchronous generators. The stochastic nature of wind, makes it very difficult to control the generator power output. Most wind turbines are based on induction generators which consume reactive power just like induction motors during system contingency, which in turn deteriorates the local grid stability. This paper proposes to study and analyze the impact of distributed generation using high speed wind turbines on power systems transient stability. This is achieved using a simplified model of the IEEE 30 bus system which replicates the Kenyan grid system. The base line case simulations were carried out using Dig SILENT Power factory version 14.0 software and results recorded. Thereafter, a Double Fed Induction Generator (DFIG) model was integrated to the system and various faults introduced in the system. The results showed that, the addition of the DFIGs to a power system network, does not negatively affect the stability of the system. It was evident that even with increased penetration of wind power up to 10.2%, the system showed a high degree of transient stability. Consequently, from the simulation results, as the system approaches stability, the swings are more or less of equal magnitude. As the penetration level of DFIGs increased from 0% to 10.2%, the critical clearing time also increased. This clearly shows that the transient stability of the power system is improved by DFIG penetration in the power network.},
     year = {2014}
    }
    

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  • TY  - JOUR
    T1  - The Impacts of Distributed Generation Using High Speed Wind Turbines on Power System Transient Stability
    AU  - Annastacia Maina
    AU  - Michael J. Saulo
    Y1  - 2014/12/27
    PY  - 2014
    N1  - https://doi.org/10.11648/j.ijepe.s.2015040201.15
    DO  - 10.11648/j.ijepe.s.2015040201.15
    T2  - International Journal of Energy and Power Engineering
    JF  - International Journal of Energy and Power Engineering
    JO  - International Journal of Energy and Power Engineering
    SP  - 52
    EP  - 62
    PB  - Science Publishing Group
    SN  - 2326-960X
    UR  - https://doi.org/10.11648/j.ijepe.s.2015040201.15
    AB  - Wind power generation source differs in several respects from conventional sources of energy like hydro and thermal. Furthermore, wind generators are usually based on different generator technologies other than the conventional synchronous generators. The stochastic nature of wind, makes it very difficult to control the generator power output. Most wind turbines are based on induction generators which consume reactive power just like induction motors during system contingency, which in turn deteriorates the local grid stability. This paper proposes to study and analyze the impact of distributed generation using high speed wind turbines on power systems transient stability. This is achieved using a simplified model of the IEEE 30 bus system which replicates the Kenyan grid system. The base line case simulations were carried out using Dig SILENT Power factory version 14.0 software and results recorded. Thereafter, a Double Fed Induction Generator (DFIG) model was integrated to the system and various faults introduced in the system. The results showed that, the addition of the DFIGs to a power system network, does not negatively affect the stability of the system. It was evident that even with increased penetration of wind power up to 10.2%, the system showed a high degree of transient stability. Consequently, from the simulation results, as the system approaches stability, the swings are more or less of equal magnitude. As the penetration level of DFIGs increased from 0% to 10.2%, the critical clearing time also increased. This clearly shows that the transient stability of the power system is improved by DFIG penetration in the power network.
    VL  - 4
    IS  - 2-1
    ER  - 

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Author Information
  • Department of Electrical and Electronics Engineering, Technical University of Mombasa, Mombasa, Kenya

  • Department of Electrical and Electronics Engineering, Technical University of Mombasa, Mombasa, Kenya

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