SpringerLink
Log in

Automatic Generation Control of Interconnected Power Systems Using Elephant Herding Optimization

  • Conference paper
  • First Online:
Intelligent Computing Techniques for Smart Energy Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 607))

Abstract

This paper presents load frequency control and dynamic modelling of an interconnected grid of three power system areas, where area-1 consists of a single non-reheat synchronous generator and DFIG wind turbine based hybrid generation, second is synchronous generator power plant with reheat, and the last one consists of hydro turbine based generation unit. The automatic generation control of an interconnected power system is studied by using MATLAB/Simulink for uncertain variations in load demands. A nature-inspired algorithm, i.e. Elephant Herding Optimization (EHO) is applied to mitigate frequency deviations under sudden variations in demand. An objective function based on frequency deviations, tie-line powers is defined for the study. The outcomes of the proposed EHO-based AGC (Automatic Generation Control) are validated and compared with PSO (Particle Swarm Optimization)-based AGC via simulation results on the basis of magnitude of normalized error.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 223.50
Price includes VAT (United Kingdom)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 279.99
Price includes VAT (United Kingdom)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info
Hardcover Book
GBP 279.99
Price includes VAT (United Kingdom)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** 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. Bevrani H (2009) Robust power system frequency control, 1st edn. Springer

    Google Scholar 

  2. Asuhaimi A, MohdZin B, Pesaran HA, Khairuddin AB, Jahanshaloo L (2013) OmidShariati: an overview on doubly fed induction generators controls and contributions to wind based electricity generation. Renew Sustain Energy Rev 27:692–708

    Article  Google Scholar 

  3. Wood AJ, Wollenberg BF (1996) Power generation operation and control, 2nd edn. Wiley

    Google Scholar 

  4. Kundur P (1994) Power system stability and control. McGraw-Hill

    Google Scholar 

  5. Farahani M, Ganjefar S, Alizadeh M (2012) PID controller adjustment using chaotic optimisation algorithm for multi-area load frequency control. IET Control Theory Appl 6(13):1984–1992

    Google Scholar 

  6. Wen T (2010) Unified tuning of PID load frequency controller for power systems via IMC. IEEE Trans Power Syst 25(1):245–252

    Google Scholar 

  7. Bevrani H, Daneshmand PR (2012) Fuzzy logic-based load–frequency control concerning high penetration of wind turbines. IEEE Syst J 6(1):13–19

    Article  Google Scholar 

  8. Mendis BSD (2008) Fuzzy signatures: hierarchical fuzzy system and application. PhD thesis, Australian Nation University

    Google Scholar 

  9. Attia A (2009) Hierarchical fuzzy controllers for an astronomical telescope tracking. Appl Soft Comput 9(5):135–141

    Article  MathSciNet  Google Scholar 

  10. Lee CC (1990) Fuzzy logic in control systems: fuzzy logic controller part I. IEEE Trans Syst Man Cybern (6):404–418

    Google Scholar 

  11. Depenbrock M (1988) Direct self-control (DSC) of inverter-fed induction machine. IEEE Trans Power Electron 3:420–429

    Article  Google Scholar 

  12. Arnalte S, Burgos JC, Rodríguez-Amenedo JL (2002) Direct torque control of a doubly-fed induction generator for variable speed wind turbines. Electric Power Compon Syst 30:199–216

    Article  Google Scholar 

  13. Bonnet F, Vidal PE, Pietrzak-David M (2007) Dual direct torque control of doubly fed induction machine. IEEE Trans Ind Electron 54:2482–2490

    Article  Google Scholar 

  14. Zhixin M, Lingling F, Osborn D, Yuvarajan S (2009) Control of DFIG-based wind generation to improve inter area oscillation dam**. IEEE Trans Energy Convers 24:415–422

    Article  Google Scholar 

  15. Ekanayake JB, Jenkins N, Strbac G (2008) Frequency response from wind turbines. Wind Eng 32(6):573–586

    Article  Google Scholar 

  16. Slootweg JG, Polinder H, Kling WL (2001) Dynamic modelling of a wind turbine with doubly fed induction generator. IEEE power engineering society summer meeting, 15–19 July, Vancouver, Canada

    Google Scholar 

  17. Nattapol S, Issarachai N (2015) Intelligent photovoltaic farms for robust frequency stabilization in multi-area interconnected power system based on PSO-based optimal Sugeno fuzzy logic control. Renew Energy 74:555–567

    Article  Google Scholar 

  18. Dhillon SS, Lather JS, Marwaha S (2015) Multi area load frequency control using particle swarm optimization and fuzzy rules. Proc Comput Sci 57:460–472

    Article  Google Scholar 

  19. Dhillon SS, Marwaha S, Lather JS (2014) Robust load frequency control of micro grids connected with main grids in a regulated and deregulated environment. In: Proceedings of IEEE international conference on recent advances and innovations in engineering, pp 1–9

    Google Scholar 

  20. Ali ES, Abd-Elazim M (2013) BFOA based design of PID controller for two area load frequency control with nonlinearities. Int J Electr Power Energy Syst 51:224–231

    Article  Google Scholar 

  21. Rabindra KS, Sidhartha P, Umesh KR, Dillip S (2016) Teaching learning based optimization algorithm for automatic generation control of power system using 2-DOF PID controller. Int J Electr Power Energy Syst 77:287–301

    Google Scholar 

  22. Binod KS, Tridipta KP, Jyoti RN (2016) A novel hybrid LUS–TLBO optimized fuzzy-PID controller for load frequency control of multi-source power system. Int J Electr Power Energy Syst 74:58–69

    Article  Google Scholar 

  23. Dhillon SS, Lather JS, Marwaha S (2016) Multi objective load frequency control using hybrid bacterial foraging and particle swarm optimized PI controller. Int J Electr Power Energy Syst 79:199–209

    Article  Google Scholar 

  24. Yanliang C, Lanlan X, Fei M, Yubin S (2017) Observer based robust integral sliding mode load frequency control for wind power systems. Cont Engg Pract 65:1–10

    Google Scholar 

  25. Jalali M (2011) DFIG based wind turbine contribution to system frequency control. Master thesis of Electrical and Computer Engineering, University of Waterloo, Ontario, Canada

    Google Scholar 

  26. Tavakoli M, Edris P, Adabi J, Godina R, João PS (2018) Load-frequency control in a multi-source power system connected to wind farms through multi terminal HVDC systems. Comput Oper Res 96:305–315

    Article  Google Scholar 

  27. Reza H, Neda A, Miadreza SK, João PS (2018) Decentralized frequency-voltage control and stability enhancement of standalone wind turbine-load-battery. Electr Power Energy Syst 102:1–10

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electrical & Electronics Engineering, AKGEC, Ghaziabad, India

    S. S. Dhillon

  2. College of Information Science and Engineering, Ocean University of China, 266100, Qingdao, China

    Gai-Ge Wang

  3. Department of Electrical Engineering, National Institute of Technology, KUK, Kurukshetra, India

    Surabhi Agarwal & J. S. Lather

Authors
  1. S. S. Dhillon
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Surabhi Agarwal
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Gai-Ge Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. J. S. Lather
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to S. S. Dhillon .

Editor information

Editors and Affiliations

  1. College of Engineering and Science, Victoria University, Footscray, VIC, Australia

    Akhtar Kalam

  2. Malaviya National Institute of Technology, Jaipur, Rajasthan, India

    Khaleequr Rehman Niazi

  3. Manipal University Jaipur, Jaipur, Rajasthan, India

    Amit Soni

  4. Manipal University Jaipur, Jaipur, Rajasthan, India

    Shahbaz Ahmed Siddiqui

  5. Department of Information Technology, Manipal University Jaipur, Jaipur, Rajasthan, India

    Ankit Mundra

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Dhillon, S.S., Agarwal, S., Wang, GG., Lather, J.S. (2020). Automatic Generation Control of Interconnected Power Systems Using Elephant Herding Optimization. In: Kalam, A., Niazi, K., Soni, A., Siddiqui, S., Mundra, A. (eds) Intelligent Computing Techniques for Smart Energy Systems. Lecture Notes in Electrical Engineering, vol 607. Springer, Singapore. https://doi.org/10.1007/978-981-15-0214-9_2

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-0214-9_2

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0213-2

  • Online ISBN: 978-981-15-0214-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation