Skip to main content

Frequency Stability of Two-Area Interconnected Power System with Doubly Fed Induction Generator Based Wind Turbine

  • Chapter
  • First Online:
Wide Area Power Systems Stability, Protection, and Security

Part of the book series: Power Systems ((POWSYS))

Abstract

This chapter presents a comparison of the performance of integral (I) and proportional-integral-derivative (PID) controllers in frequency stabilization or load frequency control (LFC) of two-area interconnected power system considering generation rate constraints (GRCs) with Doubly fed induction generator (DFIG)-based wind energy. Two mathematically models are identified for investigations. Power system model 1 is two-area interconnected power system which contains two identical non-reheat thermal plants without DFIG participation. Whereas, power system model 2 contains two identical non-reheat thermal plants with dynamic participation of DFIG at both areas. Moreover, Harris Hawks Optimizer (HHO), Salp Swarm Algorithm (SSA), and Sine Cosine Algorithm (SCA) are applied to find the optimal values of the controller settings mentioned above. The effectiveness of the proposed controllers, which are optimally designed by several optimization techniques (i.e., HHO, SSA, and SCA) is tested and verified through an interconnected power system comprises two identical non-reheat thermal power plants with/without DFIG participation. Time-domain simulation results of the studied power system with all mentioned optimization techniques are carried out using Matlab/Simulink® software to validate the robustness of the proposed controllers.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. F. Yao, R.C. Bansal, Z.Y. Dong, R.K. Saket, J.S. Shakya, Wind energy resources: theory, design and applications, in Handbook of Renewable Energy Technology (World Scientific, 2011), pp. 3–20

    Google Scholar 

  2. E. Muljadi, C. Butterfield, R. Yinger, H. Romanowitz, Energy storage and reactive power compensator in a large wind farm, in 42nd AIAA Aerospace Sciences Meeting and Exhibit (2004), p. 352

    Google Scholar 

  3. E. Muljadi, V. Gevorgian, Short-circuit modeling of a wind power plant, in 2011 IEEE Power and Energy Society General Meeting (2011), pp. 1–9

    Google Scholar 

  4. F. Blaabjerg, K. Ma, Wind energy systems. Proc. IEEE 105, 2116–2131 (2017)

    Article  Google Scholar 

  5. B. Wu, Y. Lang, N. Zargari, S. Kouro, Power Conversion and Control of Wind Energy Systems (Wiley, 2011)

    Google Scholar 

  6. H.H. Alhelou, M.E. Hamedani-Golshan, R. Zamani, E. Heydarian-Forushani, P. Siano, Challenges and opportunities of load frequency control in conventional, modern and future smart power systems: a comprehensive review. Energies 11(10), 2497 (2018)

    Google Scholar 

  7. A.H. Elkasem, S. Kamel, A. Rashad, F.J. Melguizo, Optimal performance of doubly fed induction generator wind farm using multi-objective genetic algorithm. IJIMAI 5, 48–53 (2019)

    Article  Google Scholar 

  8. A.H. Elkasem, S. Kamel, A. Rashad, F. Jurado, Optimal performance of DFIG integrated with different power system areas using multi-objective genetic algorithm, in 2018 Twentieth International Middle East Power Systems Conference (MEPCON) (2018), pp. 672–678

    Google Scholar 

  9. A.M. Rshad, S. Kamel, A.H. Elkasem, Enhancement of combined wind farm performance using crowbar, in 2018 International Conference on Innovative Trends in Computer Engineering (ITCE) (2018), pp. 283–288

    Google Scholar 

  10. E. Muljadi, M. Singh, V. Gevorgian, Doubly fed induction generator in an offshore wind power plant operated at rated V/Hz. IEEE Trans. Ind. Appl. 49, 2197–2205 (2013)

    Article  Google Scholar 

  11. H. Saadat, Power System Analysis (1999)

    Google Scholar 

  12. P. Kundur, N.J. Balu, M.G. Lauby, Power System Stability and Control, vol. 7 (McGraw-hill New York, 1994)

    Google Scholar 

  13. O. Elgerd, Energy Systems Theory: an Introduction (New Delhi, McGraw-Hill, 1983)

    Google Scholar 

  14. T. Shyama, R.S. Kumar, V. Shanmugasundaram, Design of FGSPI controller based combined LFC and AVR of two area interconnected power generating system. Int. J. Eng. Adv. Technol. 1, 135–139 (2012)

    Google Scholar 

  15. F.K. Abo-Elyousr, Load frequency controller design for two area interconnected power system with DFIG based wind turbine via ant colony algorithm, in Power Systems Conference (MEPCON), 2016 Eighteenth International Middle East (2016), pp. 253–260

    Google Scholar 

  16. F.M. Hughes, O. Anaya-Lara, N. Jenkins, G. Strbac, Control of DFIG-based wind generation for power network support. IEEE Trans. Power Syst. 20, 1958–1966 (2005)

    Article  Google Scholar 

  17. R.G. De Almeida, E.D. Castronuovo, J.P. Lopes, Optimum generation control in wind parks when carrying out system operator requests. IEEE Trans. Power Syst. 21, 718–725 (2006)

    Article  Google Scholar 

  18. J.M. Mauricio, A. Marano, A. Gómez-Expósito, J.L.M. Ramos, Frequency regulation contribution through variable-speed wind energy conversion systems. IEEE Trans. Power Syst. 24, 173–180 (2009)

    Article  Google Scholar 

  19. M. Jalali, DFIG based wind turbine contribution to system frequency control (University of Waterloo, 2011)

    Google Scholar 

  20. B. Sahu, P. Mohanty, S. Panda, S. Kar, N. Mishra, Design and comparative performance analysis of PID controlled automatic voltage regulator tuned by many optimizing liaisons, in 2012 International Conference on Advances in Power Conversion and Energy Technologies (APCET) (2012), pp. 1–6

    Google Scholar 

  21. P.C. Pradhan, R.K. Sahu, S. Panda, Firefly algorithm optimized fuzzy PID controller for AGC of multi-area multi-source power systems with UPFC and SMES. Eng. Sci. Technol. Int. J. 19, 338–354 (2016)

    Google Scholar 

  22. M. Elsisi, M. Soliman, M. Aboelela, W. Mansour, ABC based design of PID controller for two area load frequency control with nonlinearities. TELKOMNIKA Indones J. Electr. Eng. 16, 58–64 (2015)

    Google Scholar 

  23. P. Bhatt, R. Roy, S. Ghoshal, Dynamic participation of doubly fed induction generator in automatic generation control. Renew. Energy 36, 1203–1213 (2011)

    Article  Google Scholar 

  24. A.A. Heidari, S. Mirjalili, H. Faris, I. Aljarah, M. Mafarja, H. Chen, Harris hawks optimization: algorithm and applications, in Future Generation Computer Systems (2019)

    Google Scholar 

  25. H. Moayedi, A. Osouli, H. Nguyen, A.S.A. Rashid, A novel Harris hawks’ optimization and k-fold cross-validation predicting slope stability, Eng. Comput. 1–11 (2019)

    Google Scholar 

  26. D.T. Bui, H. Moayedi, B. Kalantar, A. Osouli, B. Pradhan, H. Nguyen et al., A novel swarm intelligence—Harris Hawks optimization for spatial assessment of landslide susceptibility. Sensors 19, 3590 (2019)

    Article  Google Scholar 

  27. S. Mirjalili, A.H. Gandomi, S.Z. Mirjalili, S. Saremi, H. Faris, S.M. Mirjalili, Salp swarm algorithm: a bio-inspired optimizer for engineering design problems. Adv. Eng. Softw. 114, 163–191 (2017)

    Article  Google Scholar 

  28. S. Mirjalili, SCA: a sine cosine algorithm for solving optimization problems. Knowl.-Based Syst. 96, 120–133 (2016)

    Article  Google Scholar 

  29. H.H. Alhelou, M.E. Golshan, J. Askari-Marnani, Robust sensor fault detection and isolation scheme for interconnected smart power systems in presence of RER and EVs using unknown input observer. Int. J. Electr. Power Energy Syst. 99, 682–694 (2018)

    Google Scholar 

  30. H. Haes Alhelou, M.E. Hamedani Golshan, M. Hajiakbari Fini, Wind driven optimization algorithm application to load frequency control in interconnected power systems considering GRC and GDB nonlinearities. Electr. Power Compon. Syst. 46(11–12), 1223–1238 (2018)

    Google Scholar 

  31. H.H. Alhelou, M.E. Golshan, N.D. Hatziargyriou, Deterministic dynamic state estimation-based optimal lfc for interconnected power systems using unknown input observer. IEEE Trans. Smart Grid (2019)

    Google Scholar 

  32. H.H. Alhelou, M.E. Golshan, N.D. Hatziargyriou, A decentralized functional observer based optimal LFC considering unknown inputs, uncertainties, and cyber-attacks. IEEE Trans. Power Syst. 34(6), 4408–5517 (2019)

    Google Scholar 

  33. H.H. Alhelou, M.E. Golshan, T.C. Njenda, N.D. Hatziargyriou, An overview of UFLS in conventional, modern, and future smart power systems: challenges and opportunities. Electr. Power Syst. Res. 179, 106054 (2020)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Francisco Jurado .

Editor information

Editors and Affiliations

Appendix

Appendix

Parameter (Notation)

Value (Unit)

DFIG inertia constant at first area (\( {\text{H}}_{{{\text{e}}1 }} \))

3.5 (p.u.M.W)

DFIG inertia constant at second area (\( {\text{H}}_{{{\text{e}}2 }} \))

3.5 (p.u.M.W)

Power system gain at first area (Kp1)

62 Hz/(p.u.MW)

Power system gain at second area (Kp2)

62 Hz/(p.u.MW)

Power system time constant at first area (Tp1)

10 s

Power system time constant at second area (Tp2)

15 s

Rated power at the first area (\( pr1 \))

1000 MW

Rated power at the second area (\( pr2 \))

1000 MW

Generation rate constraint (GRC) at non-reheat thermal unit 1

15% (p.u.MW)/min

Generation rate constraint (GRC) at non-reheat thermal unit 2

15% (p.u.MW)/min

Coefficient of synchronizing (T12)

0.07p.u.MW/HZ

Constant of speed regulation at first area (R1)

3 Hz/(p.u.MW)

Constant of speed regulation at second area (R2)

3 Hz/(p.u.MW)

Wind turbine time constant at first area (Ta1)

0.2 s

Wind turbine time constant at second area (Ta2)

0.2 s

Speed governor time constant at first area (Tg1)

0.1 s

Speed governor time constant at second area (Tg2)

0.1 s

Steam turbine time constant at first area (Tt1)

1 s

Steam turbine time constant at second area (Tt2)

1 s

Frequency measurement starting time at first area (Tr1)

0.1 s

Frequency measurement starting time at second area (Tr2)

0.1 s

Washout filter starting time at first area (Tw1)

6 s

Washout filter starting time at second area (Tw2)

6 s

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Hamdy, A., Kamel, S., Nasrat, L., Jurado, F. (2021). Frequency Stability of Two-Area Interconnected Power System with Doubly Fed Induction Generator Based Wind Turbine. In: Haes Alhelou, H., Abdelaziz, A.Y., Siano, P. (eds) Wide Area Power Systems Stability, Protection, and Security. Power Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-54275-7_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-54275-7_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-54274-0

  • Online ISBN: 978-3-030-54275-7

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics