Skip to main content

Optimized Fuzzy PI Regulator for Frequency Regulation of Distributed Power System

  • Conference paper
  • First Online:
Intelligent Systems (ICMIB 2023)

Abstract

In this article improved fuzzy PI regulator is stated for frequency regulation of Automatic Control of distributed power systems. Originally, a two-region nonwarm framework is utilized. The advantage of the stated fuzzy PI regulator is shown with the help of contrasting the outputs. All real structure shows non-straight nature, subsequently, traditional regulators are not generally ready to give great and precise outcomes. So fuzzy-logic controller can be utilized to get more exact outcomes. The primacy of the stated hybrid particle swarm optimization & pattern search (hPSO-PS) approach adjusted fuzzy-PI selector over PS changed fuzzy PI selector, PSO changed fuzzy PI selector, hBFOA-PS changed PI selector, Differential Evolution (DE) changed PI selector and Bacteria Foraging optimization algorithm (BFOA) adjusted PI selector is demonstrated. It is seen that the Fuzzy PI regulator is more effective for controlling frequency relative to the PI regulator.

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 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Parmar KPS, Majhi S, Kothari DP (2012) Load frequency control of a realistic power system with multi-source power generation. Int J Electr Power Energy Syst 42:426–433

    Article  Google Scholar 

  2. Nayak S, Kar SK, Dash SS, Das MC, Swain SC (2022) PIDA regulator for frequency limitation of conventional power systems, intelligent systems. Lecture notes in networks and systems, vol 431. Springer, Singapore, pp 11–17

    Google Scholar 

  3. Chandrakala KRMV, Balamurugan S, Sankar Narayanan K (2013) Variable structure fuzzy gain scheduling-based load frequency controller for the multi-source multi-area hydrothermal system. Int J Electr Power Energy Syst 53:375–381

    Google Scholar 

  4. Nayak SR, Kar SK, Dash SS (2021) Performance comparison of the hSGA-PS procedure with PIDA regulator in AGC of the power system. In: ODICON-2021, pp 1–4

    Google Scholar 

  5. Ali ES, Abd-Elazim SM (2011) Bacteria foraging optimization algorithm-based load frequency controller for an interconnected power system. Int J Electr Power Energy Syst 33:633–638

    Google Scholar 

  6. Nayak S, Kar SK, Dash SS (2021) A Hybrid search group algorithm & pattern search optimized PIDA controller for AGC of the interconnected power system. In: ICICA, pp 309–322

    Google Scholar 

  7. Patel NC, Debnath MK, Sahu BK, Dash SS, Bayindir R (2018) Multi-staged PID controller tuned by an invasive weed optimization algorithm for LFC issues. In: 7th international conference on renewable energy research and applications

    Google Scholar 

  8. Nayak S, Kar SK, Dash SS (2022) Change detection filter technique of HVDC transmission link fed by a wind farm. In: 4th international conference on energy, power, and environment (ICEPE), pp 1–6

    Google Scholar 

  9. Parida SM, Rout PK, Kar SK (2020) Fuzzy multi-objective approach-based small signal stability analysis and optimal control of a PMSG-based wind turbine. Int J Comput Aided Eng Technol 12(4):513–534

    Article  Google Scholar 

  10. Nayak S, Dash SS, Kar SK (2021) Frequency regulation of hybrid distributed power systems integrated with renewable sources by optimized type-2 fuzzy PID controller. In: 9th international conference on smart grid, smart-grid, pp 259–263

    Google Scholar 

  11. Padhi JR, Debnath MK, Pal S, Kar SK (2019) AGC investigation in wind-thermal-hydro-diesel power system with 1 plus fractional order integral plus derivative controller. Int J Recent Technol Eng 8(1):281–286

    Google Scholar 

  12. Nayak S, Kar SK, Dash SS, Vishnuram P, Thanikanti SB, Nastasi B (2022) Enhanced salp swarm algorithm for multimodal optimization and fuzzy based grid frequency controller design. Energies 15(9):3210

    Google Scholar 

  13. Nayak S, Kar SK, Dash SS, Das MC (2022) Synchronization and its use in communication network with frequency control, intelligent systems. Lecture notes in networks and systems, vol 431. Springer, Singapore, pp 19–29

    Google Scholar 

  14. Sahoo BP, Panda S (2018) Improved grey wolf optimization technique for fuzzy aided PID controller design for power system frequency control. Sustain Energy Grids Netw 278–299

    Google Scholar 

  15. Khamari D, Sahu RK, Panda S (2019) Application of search group algorithm for automatic generation control of interconnected power system. In: Computational intelligence in data mining. Springer, Singapore, pp 557–568

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Smrutiranjan Nayak .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 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

Nayak, S., Dash, S.S., Kar, S.K., Sahoo, A.K., Sahoo, A.K. (2024). Optimized Fuzzy PI Regulator for Frequency Regulation of Distributed Power System. In: Udgata, S.K., Sethi, S., Gao, XZ. (eds) Intelligent Systems. ICMIB 2023. Lecture Notes in Networks and Systems, vol 728. Springer, Singapore. https://doi.org/10.1007/978-981-99-3932-9_3

Download citation

  • DOI: https://doi.org/10.1007/978-981-99-3932-9_3

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-3931-2

  • Online ISBN: 978-981-99-3932-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics