Skip to main content

Effectiveness of Whale Optimization Based I+PD Controller for LFC of Plug-in Electric Vehicle Included Multi-area System

  • Conference paper
  • First Online:
Soft Computing: Theories and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1154))

Abstract

This study deals with the load frequency control of multi-area, multi-source system. A re-heat thermal generating unit, a gas unit and a plug-in electric vehicle unit is considered in each area. Some physical constraints like Governor dead band and generation rate constraint non-linearity are examined for the thermal unit. Whale optimization algorithm optimized I+PD controller is employed for the load frequency control of the proposed system. Load disturbance of 1% is considered for studying the system dynamics. To show the superiority of the proposed scheme, its performance is compared with the performance of the system under PIDN controller. Also, the system is tested against variable load to check the robustness of the system.

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

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Shiva, C.K., Mukherjee, V.: A novel quasi-oppositional harmony search algorithm for AGC optimization of three-area multi-unit power system after deregulation. Eng. Sci. Technol. Int. J. 19(1), 395–420 (2016)

    Google Scholar 

  2. Parmar, K.P.S., Majhi, S., Kothari, D.P.: Load frequency control of a realistic power system with multi-source power generation. Int. J. Electr. Power Energy Syst. 42(1), 426–433 (2012)

    Article  Google Scholar 

  3. Shankar, R., Pradhan, S.R., Chatterjee, K., Mandal, R.: A comprehensive state of the art literature survey on LFC mechanism for power system. Renew. Sustain. Energy Rev. 76(2015), 1185–1207 (2017)

    Google Scholar 

  4. Upalanchiwar, T., Sakhare, P.A.V.: Design and implementation of the fuzzy PID controller using MATLAB/SIMULINK model. 3(3), 369–372 (2014)

    Google Scholar 

  5. Pal, A.K., Bera, P., Chakraborty, K.: AGC in Two-area deregulated power system using reinforced learning neural network controller (2014)

    Google Scholar 

  6. Bhasin, H., Gupta, N.: Critical path problem for scheduling using genetic algorithm. Soft Comput.: Theor. Appl. Adv. Intell. Syst. Comput. 15–24 (2018)

    Google Scholar 

  7. Shankar, R., Chatterjee, K., Bhushan, R.: Impact of energy storage system on load frequency control for diverse sources of interconnected power system in deregulated power environment. Int. J. Electr. Power Energy Syst. 79, 11–26 (2016)

    Article  Google Scholar 

  8. Shankar, R., Kumar, A., Raj, U., Chatterjee, K.: Fruit fly algorithm-based automatic generation control of multiarea interconnected power system with FACTS and AC/DC links in deregulated power environment. Int. Trans. Electr. Energy Syst. e2690 (2018)

    Google Scholar 

  9. Mohanty, B., Panda, S., Hota, P.K.: Differential evolution algorithm based automatic generation control for interconnected power systems with non-linearity. Alexandria Eng. J. 53(3), 537–552 (2014)

    Article  Google Scholar 

  10. Mohanty, B., Hota, P.K.: A hybrid chemical reaction-particle swarm optimisation technique for automatic generation control. J. Electr. Syst. Inf. Technol. 1–16 (2017)

    Google Scholar 

  11. Sharma, T.K., Pant, M.: Opposition-based learning embedded shuffled frog-leaping algorithm. Soft Comput.: Theor. Appl. Adv. Intell. Syst. Comput. 853–861 (2018)

    Google Scholar 

  12. Mukherjee, V., Shiva, C.K.: Automatic generation control of multi-unit multi-area deregulated power system using a novel quasi-oppositional harmony search algorithm. IET Gener. Transm. Distrib. 9(15), 2398–2408 (2015)

    Article  Google Scholar 

  13. Saha, A., Saikia, L.C.: Performance analysis of combination of ultra-capacitor and superconducting magnetic energy storage in a thermal-gas AGC system with utilization of whale optimization algorithm optimized cascade controller. J. Renew. Sustain. Energy. 10(1) (2018)

    Google Scholar 

  14. Mirjalili, S., Lewis, A.: Advances in engineering software the whale optimization algorithm. 95, 51–67 (2016)

    Google Scholar 

  15. Guha, D., Kumar, P., Subrata, R.: Whale optimization algorithm applied to load frequency control of a mixed power system considering nonlinearities and PLL dynamics. Energy Syst. (0123456789) (2019)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Utkarsh Raj .

Editor information

Editors and Affiliations

Appendix

Appendix

Thermal generating unit: Kr = 0.3, Tt = 0.3 s, Rth = 2.4 Hz/pu, Tr = 10 s, Tg = 0.08 s, GRC = 0.0017pu/MW/s;

Gas generating unit: X = 0.6 s, Y = 1.0 s, TF = 0.23 s, b = 0.05 s, c = 1, TCR = 0.01 s, TCD = 0.2 s, RG = 2.4 Hz/pu MW, Rth = 2.4 Hz/pu;

Power system: Kps = 120 Hz/pu, Tps = 20 s;

EV: KEV = 1 and TEV = 1.

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

Raj, U., Shankar, R. (2020). Effectiveness of Whale Optimization Based I+PD Controller for LFC of Plug-in Electric Vehicle Included Multi-area System. In: Pant, M., Kumar Sharma, T., Arya, R., Sahana, B., Zolfagharinia, H. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 1154. Springer, Singapore. https://doi.org/10.1007/978-981-15-4032-5_2

Download citation

Publish with us

Policies and ethics