Skip to main content
SpringerLink
Log in
Book cover

Data Management, Analytics and Innovation pp 401–412Cite as

Implementation of hDE-HTS Optimized T2FPID Controller in Solar-Thermal System

  • Conference paper
  • First Online:

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1042))

Abstract

In this paper, a fair approach is interpreted to validate the novelty of Type-2 Fuzzy PID (T2FPID) controller over Type-1 or conventional Fuzzy PID (FPID) and PI controller as secondary frequency controller and Heat Transfer Search (HTS) algorithm is adopted to extract the optimum gains of the controllers. T2FPID controller has a beautiful property to handle large uncertainties of the system with extra degree of freedom. T2FPID controller is implemented in a two area interconnected thermal-PV power system to enhance the system performance. ITAE is adopted as objective function of the system to lessen the undershoot, overshoot, and settling time of frequency and tie-line power deviation. A novel hDE-HTS algorithm is adopted to enhance the system performance by searching the relevant pair of gains of controller. This analysis is executed by implementing a step signal (load disturbance) of magnitude 0.1 in area-2 to study the transiency of the system. The novelty of this work is to implement hDE-HTS optimized T2FPID controller to enhance the Solar-thermal system responses (Frequency and tie-line power deviations).

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

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   199.99
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

Learn about institutional subscriptions

References

  1. Kundur, P.: Power System Stability and Control by Prabha Kundur.pdf, p. 1199 (1993)

    Google Scholar 

  2. Ibrahim Kumar, P., Kothari, D.P.: Recent philosophies of automatic generation control strategies in power systems. IEEE Trans. Power Syst. 20(1), 346–357 (2005)

    Article  Google Scholar 

  3. Abraham, R.J., Das, D., Patra, A.: Automatic generation control of an interconnected hydrothermal power system considering superconducting magnetic energy storage. Int. J. Electr. Power Energy Syst. 29(8), 571–579 (2007)

    Article  Google Scholar 

  4. Singh, R., Sen, I.: Tuning of PID controller based AGC system using genetic algorithms, vol. 3, pp 531–534 (2004)

    Google Scholar 

  5. Dash, P., Saikia, L.C., Sinha, N.: Flower pollination algorithm optimized PI-PD cascade controller in automatic generation control of a multi-area power system. Int. J. Electr. Power Energy Syst. 82, 19–28 (2016)

    Article  Google Scholar 

  6. Sahu, R.K., Panda, S., Rout, U.K.: DE optimized parallel 2-DOF PID controller for load frequency control of power system with governor dead-band nonlinearity. Int. J. Electr. Power Energy Syst. 49(1), 19–33 (2013)

    Article  Google Scholar 

  7. Sinha, N., Saikia, L.C., Rahman, A.: Maiden application of hybrid pattern search-biogeography based optimisation technique in automatic generation control of a multi-area system incorporating interline power flow controller. IET Gener. Transm. Distrib. 10(7), 1654–1662 (2016)

    Article  Google Scholar 

  8. Dash, P., Saikia, L.C., Sinha, N.: Automatic generation control of multi area thermal system using Bat algorithm optimized PD-PID cascade controller. Int. J. Electr. Power Energy Syst. 68, 364–372 (2015)

    Article  Google Scholar 

  9. Alomoush, M.I.: Load frequency control and automatic generation control using fractional-order controllers. Electr. Eng. 91(6), 357–368 (2010)

    Article  Google Scholar 

  10. Arya, Y.: Automatic generation control of two-area electrical power systems via optimal fuzzy classical controller. J. Frankl. Inst. 355(5), 2662–2688 (2018)

    Article  MathSciNet  Google Scholar 

  11. Abd-Elazim, S.M., Ali, E.S.: Firefly algorithm-based load frequency controller design of a two area system composing of PV grid and thermal generator. Electr. Eng. 100(2), 1253–1262 (2018)

    Article  Google Scholar 

  12. Nayak, J.R., Shaw, B.: Application of group hunting search optimized cascade PD-fractional order PID controller in interconnected thermal power system. Trends Renew. Energy 4(3), 22–33 (2018)

    Article  Google Scholar 

  13. Indulkar, C.S., Raj, B.: Application of fuzzy controller to automatic generation control. Electr. Mach. Power Syst. 23(2), 209–220 (1995)

    Article  Google Scholar 

  14. Çam, E., Kocaarslan, I.: Load frequency control in two area power systems using fuzzy logic controller. Energy Convers. Manag. 46(2), 233–243 (2005)

    Article  Google Scholar 

  15. Sahu, B.K., Pati, T.K., Nayak, J.R., Panda, S., Kar, S.K.: 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 (2016)

    Article  Google Scholar 

  16. Nayak, J.R., Pati, T.K., Sahu, B.K., Kar, S.K.: Fuzzy-PID controller optimized TLBO algorithm on automatic generation control of a two-area interconnected power system. In: IEEE International Conference on Circuits, Power and Computing Technologies ICCPCT 2015, pp 4–7 (2015)

    Google Scholar 

  17. Pati, T.K., Nayak, J.R., Sahu, B.K.: Application of TLBO algorithm to study the performance of automatic generation control of a two-area multi-units interconnected power system. In: 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems SPICES 2015 (2015)

    Google Scholar 

  18. Nayak, J.R., Shaw, B., Das, S., Sahu, B.K.: Design of MI fuzzy PID controller optimized by Modified Group Hunting Search algorithm for interconnected power system. Microsyst. Technol. 24, 3615–3621 (2018)

    Article  Google Scholar 

  19. Nayak, J.R., Shaw, B., Shahu, B.K.: Load frequency control of hydro-thermal power system using fuzzy PID controller optimized by hybrid DECRPSO algorithm. Int. J. Pure Appl. Math. 114(9), 147–155 (2017)

    Google Scholar 

  20. Biglarbegian, M., Melek, W.W., Mendel, J.M.: Design of novel interval type-2 fuzzy controllers for modular and reconfigurable robots: theory and experiments. IEEE Trans. Ind. Electron. 58(4), 1371–1384 (2011)

    Article  Google Scholar 

  21. Nayak, J.R., Shaw, B., Sahu, B.K.: Application of adaptive-SOS (ASOS) algorithm based interval type-2 fuzzy-PID controller with derivative filter for automatic generation control of an interconnected power system. Eng. Sci. Technol. Int. J. 21(3), 465–485 (2018)

    Article  Google Scholar 

  22. Patel, K., Savsani, V.J.: Heat transfer search (HTS): a novel optimization algorithm. Inf. Sci. (NY) 324, 217–246 (2015)

    Article  Google Scholar 

  23. Storn, R., Price, K.: Differential evolution—a simple and efficient heuristic for global optimization over continuous spaces. J. Global Optim. 11(4), 341–359 (1997)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electrical Engineering, NIT, Raipur, Chhattisgarh, 492010, India

    Binod Shaw, Jyoti Ranjan Nayak & Rajkumar Sahu

Authors
  1. Binod Shaw
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jyoti Ranjan Nayak
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Rajkumar Sahu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jyoti Ranjan Nayak .

Editor information

Editors and Affiliations

  1. Society for Data Science, Pune, Maharashtra, India

    Neha Sharma

  2. A.K. Choudhury School of Information Technology, University of Calcutta, Kolkata, West Bengal, India

    Amlan Chakrabarti

  3. Department of Automatics and Applied Software, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

Appendices

Appendix 1: Power System Parameters

  • Kps = 120 Hz/p.u. MW, TPS = 20 s, B = 0.4249;

  • R = 2.4 Hz/p.u. MW; TG = 0.08 s; TT = 0.3 s;

  • Kr = 0.33; Tr = 10 s; T12 = 0.0707;

  • a/b/c/d = 900/-18/100/50;

Appendix 2: Assumptions of Algorithms

  • COF = 10; CDF = 2; RF = 10;

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

Shaw, B., Nayak, J.R., Sahu, R. (2020). Implementation of hDE-HTS Optimized T2FPID Controller in Solar-Thermal System. In: Sharma, N., Chakrabarti, A., Balas, V. (eds) Data Management, Analytics and Innovation. Advances in Intelligent Systems and Computing, vol 1042. Springer, Singapore. https://doi.org/10.1007/978-981-32-9949-8_27

Download citation

  • DOI: https://doi.org/10.1007/978-981-32-9949-8_27

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-32-9948-1

  • Online ISBN: 978-981-32-9949-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation