Skip to main content

Optimal Siting of FACTS Controller Using Moth Flame Optimization Technique

  • Conference paper
  • First Online:
Control Applications in Modern Power Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 870))

Abstract

The increment of load demand leads to voltage instability which is a major concern nowadays. It is required to transmit power in a efficient and economic manner. This problem can be solved either by increasing the generation or by enhancing the transmission capacity. But, due to financial constraints, it is not possible for constructing new generating stations. So, to improve the efficiency of the existing system, flexible AC transmission system (FACTS) controllers are incorporated. Since these controllers are costly, proper analysis is required for its siting. In this paper, the moth flame optimization (MFO) algorithm is used for the proper siting of FACTS controllers. Here, the proposed technique is compared with particle swarm optimization (PSO) and biogeography-based optimization (BBO) technique applied on IEEE 30 bus system, and the superiority of the MFO technique is demonstrated for reducing the active power losses in the transmission lines.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
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

References

  1. Hingorani N (1993) Flexible AC transmission (FACTS). IEEE spect 30(4):40–45

    Article  Google Scholar 

  2. Nelson R, Bain J, Williams S (1995) Transmission series power flow control. IEEE Transm Power Del 10(1):504–510

    Google Scholar 

  3. Gotham DJ, Heydt DT (1998) Power flow control and power flow studies for system with FACTS Devices. IEEE Trans Power Syst 13(1):60–65

    Article  Google Scholar 

  4. Chung TS, Li YZ (2000) A Hybrid GA approach for OPF with consideration of FACTS devices. IEEE Power Eng Rev 54–7

    Google Scholar 

  5. Pandhy N Preasad, Abdel Moamen MA (2005) Power flow control and solution with multiple and multi-type FACTS devices. Electr Power Syst Res 74:341–51

    Google Scholar 

  6. Cai LJ (2004) Optimal choice and allocation of FACTS devices in deregulated electricity market using genetic algorithms. IEEE 0-7803-8718-X/04/2$20.00

    Google Scholar 

  7. Basu M (2008) Optimal power flow with FACTS devices using differential evolution. Int J Electr Power Energy Syst 30(2):150–156

    Article  Google Scholar 

  8. Gupta VK, Kumar S, Bhattachatyya B (2014) Enhancement of power system loadability with FACTS Devices. J Inst Eng (India) Ser B 95(2):113–120

    Google Scholar 

  9. Mirjali S (2015) Moth flame optimization algorithm: a novel nature-inspired heuristic paradigm. Knowl Based Syst 89:228–249

    Google Scholar 

  10. Kar MK, Kumar L, Kumar S, Singh AK (2020) Efficient operation of power system with FACTS controllers using evolutionary techniques. In: 2020 7th international conference on signal processing and integrated networks (SPIN), Noida, India, pp 962–965. https://doi.org/10.1109/SPIN48934.2020.9070909

  11. Karthikannan D, Ravi G (2018) Optimal reactive power dispatch considering multi-type FACTS devices using harmony search algorithms. Automatika 59(3):303–314

    Google Scholar 

  12. Prasad D, Mukherjee V (2018) Solution of optimal reactive power dispatch by symbiotic organism search algorithm incorporating FACTS devices. IEEE J Res 64(1):149–160

    Google Scholar 

  13. Duman S, Sonmez Y, Guvene U, Yorukeren N (2012) Optimal reactive power dispatch using a gravitational search algorithm. IET Gen Treans Distrib 6(6):563–576

    Article  Google Scholar 

  14. Kar MK, Kumar S, Singh AK, Panigrahi S (2021) Reactive power management by using a modified differential evolution algorithm. Optimal Control Appl Methods 44(2):1–20

    Google Scholar 

  15. Raj S, Bhattacharyya B (2018) Reactive power planning by opposition-based grey wolf optimization method. Int Trans Elect Energ Syst e2551. https://doi.org/10.1002/etep.2551

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kumari, S., Kar, M.K., Kumar, L., Kumar, S. (2022). Optimal Siting of FACTS Controller Using Moth Flame Optimization Technique. In: Kumar, J., Tripathy, M., Jena, P. (eds) Control Applications in Modern Power Systems. Lecture Notes in Electrical Engineering, vol 870. Springer, Singapore. https://doi.org/10.1007/978-981-19-0193-5_7

Download citation

  • DOI: https://doi.org/10.1007/978-981-19-0193-5_7

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-0192-8

  • Online ISBN: 978-981-19-0193-5

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics