Skip to main content

Cuckoo Search Algorithm and Ant Lion Optimizer for Optimal Allocation of TCSC and Voltage Stability Constrained Optimal Power Flow

  • Conference paper
  • First Online:
International Conference on Intelligent Computing and Smart Communication 2019

Part of the book series: Algorithms for Intelligent Systems ((AIS))

Abstract

The work presented in this article provides a hybrid approach of Cuckoo Search algorithm (CS) and Ant Lion Optimization (ALO) for solving a multi-objective optimization problem of secured optimal power flow and optimal placement and rating of thyristor-controlled series compensator (TCSC) in IEEE standard 30-node power transmission network to minimize network power losses and simultaneous improvement in node voltage profile. The power flow solution is computed using Newton–Raphson (NR) algorithm under both normal and overloading operating condition. The quadratic fuel cost is chosen as the objective functions. A new power flow index is proposed for finding the optimal location for TCSC. The optimal size of TCSC is determined using ALO. The efficacy of the proposed approach is examined and verified by comparing it with the other algorithms such as gravitational search, firefly algorithm, and other techniques such as fuzzy and neural networks. The statistical analysis is also performed to evaluate the competency of the methodology.

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 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
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. M. Huneault, F.D. Galiana, A survey of the optimal power flow literature. IEEE Trans. Power Syst. 6(2), 762–770 (1991)

    Google Scholar 

  2. J.A. Momoh, M.E. EL-Hawary, R. Adapa, A review of selected optimal power flow literature to 1993, Part II: Newton, linear programming and interior point methods. IEEE Trans. Power Syst. 14(1), 104–111(1999)

    Google Scholar 

  3. F. Dong, B.H. Chowdhury, M. Crow, L. Acar, Cause and effects of voltage collapse-case studies with dynamic simulations. IEEE Power Eng. Soc. Gen. Meet. 2, 1806–1812 (2004)

    Google Scholar 

  4. J. Carpentier, Toward a secure and optimal automatic operation of power systems, in IEEE PICA Conference Proceedings (Montreal, Canada, 1987), pp. 2–37

    Google Scholar 

  5. I.A. Momoh, R.J. Koessler et al., Challenges to optimal power flow. IEEE Trans. Power Syst. 12(1), 444–455 (1997)

    Article  Google Scholar 

  6. T.V. Custem, C.D. Vournas, Voltage Stability of the Electric Power Systems (Kluwer Academic, Norwell, 1998)

    Google Scholar 

  7. A. Berizzi, The Italian 2003 blackout, in IEEE Power Engineering Society General Meeting (Denver, CO, 2004), pp 1673–1679

    Google Scholar 

  8. Y.H. Song, X.F. Wang, Operation of Market Oriented Power System. Springer (2003). ISBN: 1-85233-670-6

    Google Scholar 

  9. F.D. Galiana, K. Almeida, M. Toussaint, J. Griffin, D. Atanackovic, Assessment and control of the impact of FACTS devices on power system performance. IEEE Trans Power Syst 11(4), 1931–1936 (1996)

    Google Scholar 

  10. M. Anitha, S. Subramanian, R. Gnanadass, FDR PSO-based transient stability constrained optimal power flow solution for deregulated power industry. Electr. Power Compon. Syst. 5(11), 1219–1232 (2007)

    Google Scholar 

  11. M. Basu, Optimal power flow with FACTS devices using differential evolution. Electr. Power Energy Syst. 3(2), 150–156 (2008)

    Article  Google Scholar 

  12. M. Basu, Multi-objective optimal power flow with FACTS devices. Energy Convers. Manage. 52(2), 903–910 (2011)

    Article  Google Scholar 

  13. P. Dutta, A.K. Sinha, Voltage stability constrained multi-objective optimal power flow using particle swarm optimization, in First International conference on Industrial and Information Systems (ICIISs), Sri Lanka, 8–11 Aug 2006, pp. 161–166

    Google Scholar 

  14. A.G. Bakirtzis, P.N. Biskas, C.E. Zoumas, V. Petridis, Optimal power flow by enhanced genetic algorithm. IEEE Trans. Power Syst. 17(2), 229–230 (2002)

    Google Scholar 

  15. K. Habur, D. Oleary, FACTS—Flexible AC transmission systems, for cost effective and reliable transmission of electrical energy (2008). http://www.siemenstd.com/

  16. S.N. Singh, A.K. David, A new approach for placement of FACTS devices in open power markets. IEEE Power Eng. Rev. 21(9), 5–7 (2001)

    Article  Google Scholar 

  17. P. Sekhar, S. Mohanty, An enhanced cuckoo search algorithm based contingency constrained economic load dispatch for security enhancement. Electr. Power Energy Syst. 75, 303–310 (2016)

    Article  Google Scholar 

  18. S.M. Abd-Elazim, E.S. Ali, Optimal location of STATCOM in multi machine power system for increasing loadability by Cuckoo Search algorithm. Electr. Power Energy Syst. 80, 240–251 (2016)

    Article  Google Scholar 

  19. S. Mirjalili, The ant lion optimizer. Adv. Eng. Softw. 83, 80–98 (2015)

    Article  Google Scholar 

  20. M. Raju, L.C. Saikia, N. Sinha, Automatic generation control of a multi-area system using ant lion optimizer algorithm based PID plus second order derivative control-ler. Int. J. Electr. Power Energy Syst. 80, 52–63 (2016)

    Article  Google Scholar 

  21. H.M. Dubey, M. Pandit, B.K. Panigrahi, Ant lion optimization for short-term wind inte-grated hydrothermal power generation scheduling. Int. J. Electr. Power Energy Syst. 83, 158–174 (2016)

    Article  Google Scholar 

  22. S. Hadi, Power System Analysis (Tata McGraw-Hill, New Delhi, 1999)

    Google Scholar 

  23. O. Alsac, B. Scott, Optimal load flow with steady-state security. IEEE Trans. Power Appar. Syst. 93(3), 745–751 (1974)

    Article  Google Scholar 

  24. E.I. De Oliveira, J.M. De Lima, K.C. Almeida, Allocation of FACTS devices in hydro-thermal systems. IEEE Trans. Power Syst. 15, 276–282 (2000)

    Article  Google Scholar 

  25. IEEE-30 bus transmission system data is refereed from: http://www.ee.washington.edu/research/pstca/pf30/ieee30cdf.txt

  26. S. Mahapatra, N. Malik, A.N. Jha, B.K. Panigrahi, Voltage Stability Enhancement by IGSA-FA hybrid technique implementation for optimal location of TCSC. J. Eng. Sci. Technol. 12(9), 2360–2373 (2017)

    Google Scholar 

  27. G.V. Lakshmi, K. Amaresh, Optimal power flow with TCSC using genetic algorithm, in 2012 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), pp. 1–6 (2012)

    Google Scholar 

  28. N.P. Padhy, M.A. Abdel Moamen, A generalized Newton’s optimal power flow modelling with facts devices. Int. J. Model. Simul. 28(3), 229–238 (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nitin Malik .

Editor information

Editors and Affiliations

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

Mahapatra, S., Malik, N., Jha, A.N. (2020). Cuckoo Search Algorithm and Ant Lion Optimizer for Optimal Allocation of TCSC and Voltage Stability Constrained Optimal Power Flow. In: Singh Tomar, G., Chaudhari, N.S., Barbosa, J.L.V., Aghwariya, M.K. (eds) International Conference on Intelligent Computing and Smart Communication 2019. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-0633-8_92

Download citation

Publish with us

Policies and ethics