Skip to main content
SpringerLink
Log in
Book cover

Soft Computing: Theories and Applications pp 247–256Cite as

Ant Lion Optimization Technique for Minimization of Voltage Deviation Through Optimal Placement of Static VAR Compensator

  • Conference paper
  • First Online:

  • 904 Accesses

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

Abstract

This paper deals with the use of flexible alternating current transmission system (FACTS) devices for the voltage improvement of the network. It is well established that FACTS devices can improve the system operation and management largely. However, the optimal location of such devices in the power systems is a crucial aspect and should be dealt with properly. In this work, the optimal location of static VAR compensator (SVC) is found out through a nature-inspired algorithm called ant lion optimization (ALO) for minimization of voltage deviation (V.D) at the buses. The simulations are done for standard IEEE 30 bus systems.

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   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

Learn about institutional subscriptions

References

  1. Hingorani, N.G., Gyugyi, L., El-Hawary, M.: Understanding FACTS: Concepts and Technology of Flexible AC Transmission Systems, vol. 1. IEEE Press, New York (2000)

    Google Scholar 

  2. Rashed, G.I., Sun, Y., Shaheen, H.: Optimal location and parameter setting of TCSC for loss minimization based on differential evolution and genetic algorithm. Phys. Proc. 33, 1864–1878 (2012)

    Article  Google Scholar 

  3. Kumarasamy, K., Raghavan, R.: Particle swarm optimization algorithm for voltage stability improvement using multiple statcom. In: 2012 International Conference on Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM), pp. 235–242. IEEE, New York (2012)

    Google Scholar 

  4. Ongsakul, W., Jirapong, P.: Optimal allocation of facts devices to enhance total transfer capability using evolutionary programming. In: IEEE International Symposium on Circuits and Systems, 2005. ISCAS 2005, pp. 4175–4178. IEEE, New York (2005)

    Google Scholar 

  5. Sundareswaran, K., Nayak, P.S., Venkatesh, C.D., Hariharan, B.: Optimal placement of facts devices using probabilistic particle swarm optimization. In: ISGT2011-India, pp. 53–58. IEEE, New York (2011)

    Google Scholar 

  6. Gerbex, S, Cherkaoui, R., Germond, A.: Optimal location of facts devices to enhance power system security. In: 2003 IEEE Bologna Power Tech Conference Proceedings, vol. 3, pp. 7–pp. IEEE, New York (2003)

    Google Scholar 

  7. Bhattacharyya, B., Kumar, S.: Approach for the solution of transmission congestion with multi-type facts devices. IET Gener. Trans. Distrib. 10(11), 2802–2809 (2016)

    Article  Google Scholar 

  8. Gerbex, S., Cherkaoui, R., Germond, A.J.: Optimal location of multi-type facts devices in a power system by means of genetic algorithms. IEEE Trans. Power Syst. 16(3), 537–544 (2001)

    Article  Google Scholar 

  9. Rashed, G.I., Sun, Y., Shaheen, H.: Optimal TCSC placement in a power system by means of differential evolution algorithm considering loss minimization. In: 2011 6th IEEE Conference on Industrial Electronics and Applications, pp. 2209–2215. IEEE, New York (2011)

    Google Scholar 

  10. Baghaee, H., Vahidi, B., Jazebi, S., Gharehpetian, G., Kashefi, A.: Power system security improvement by using differential evolution algorithm based facts allocation. In: Joint International Conference on Power System Technology and IEEE Power India Conference, 2008. POWERCON 2008, pp. 1–6. IEEE, New York (2008)

    Google Scholar 

  11. Bhattacharyya, B., Goswami, S.: Optimal planning for the placement of facts devices by differential evolution technique for the increased loadability of a power system. In: 2012 Asia-Pacific Power and Energy Engineering Conference, pp. 1–4. IEEE, New York (2012)

    Google Scholar 

  12. Jumaat, S.A., Musirin, I., Othman, M.M., Mokhlis, H.: Placement and sizing of thyristor controlled series compensator using PSO based technique for loss minimization. In: 2012 IEEE International Power Engineering and Optimization Conference Melaka, Malaysia, pp. 285–290. IEEE, New York (2012)

    Google Scholar 

  13. Ravi, K., Rajaram, M.: Optimal location of facts devices using improved particle swarm optimization. Int. J. Electr. Power Energy Syst. 49, 333–338 (2013)

    Article  Google Scholar 

  14. Sreejith, S., Chandrasekaran, K., Simon, S.P.: Touring ant colony optimization technique for optimal power flow incorporating thyristor controlled series compensator. In: World Congress on Nature & Biologically Inspired Computing, 2009. NaBIC 2009, pp. 1127–1132. IEEE, New York (2009)

    Google Scholar 

  15. Nireekshana, T., Rao, G.K., Raju, S.S.: Available transfer capability enhancement with FACTS using Cat swarm optimization. Ain Shams Eng. J. 7(1), 159–167 (2016)

    Article  Google Scholar 

  16. Sundareswaran, K., Bharathram, P., Siddharth, M., Vaishnavi, G., Shrivastava, N.A., Sarma, H.: Voltage profile enhancement through optimal placement of facts devices using queen-bee-assisted GA. In: International Conference on Power Systems, 2009. ICPS’09, pp. 1–5. IEEE, New York (2009)

    Google Scholar 

  17. Ara, A.L., Kazemi, A., Niaki, S.N.: Multiobjective optimal location of facts shunt-series controllers for power system operation planning. IEEE Trans. Power Delivery 27(2), 481–490 (2012)

    Article  Google Scholar 

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

    Article  Google Scholar 

  19. Mirjalili, S., Jangir, P., Saremi, S.: Multi-objective ant lion optimizer: a multi-objective optimization algorithm for solving engineering problems. Appl. Intell. 46(1), 79–95 (2017)

    Article  Google Scholar 

  20. Trivedi, I.N., Jangir, P., Parmar, S.A.: Optimal power flow with enhancement of voltage stability and reduction of power loss using ant-lion optimizer. Cogent Eng. 3(1), 1208942 (2016)

    Article  Google Scholar 

  21. Ali, E., Elazim, S.A., Abdelaziz, A.: Optimal allocation and sizing of renewable distributed generation using ant lion optimization algorithm. Electr. Eng. 100(1), 99–109 (2018)

    Article  Google Scholar 

  22. Subhashini, K.R., Satapathy, J.K.: Development of an enhanced ant lion optimization algorithm and its application in antenna array synthesis. Appl. Soft Comput. 59, 153–173 (2017)

    Article  Google Scholar 

  23. Balamurugan, G., Aravindhababu, P.: Online var support estimation for voltage stability enhancement. Int. J. Electr. Power Energy Syst. 49, 408–413 (2013)

    Article  Google Scholar 

  24. Wood, A.J., Wollenberg, B.: Power Generation, Operation, and Control. Wiley, New York, NY (1996)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. National Institute of Technology Rourkela, Rourkela, 769008, India

    Stita Pragnya Dash & J. K. Satapathy

  2. Department of Electrical Engineering, National Institute of Technology Rourkela, Rourkela, Odisha, 769008, India

    K. R. Subhashini & J. K. Satapathy

Authors
  1. Stita Pragnya Dash
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. K. R. Subhashini
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. J. K. Satapathy
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Stita Pragnya Dash .

Editor information

Editors and Affiliations

  1. Department of Paper Technology, IIT Roorkee, Roorkee, India

    Millie Pant

  2. Graphic Era Hill University, Dehradun, Uttarakhand, India

    Tarun Kumar Sharma

  3. NIT Patna, Patna, India

    Rajeev Arya

  4. NIT Patna, Patna, India

    B.C. Sahana

  5. Ryerson University, Toronto, ON, Canada

    Hossein Zolfagharinia

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

Dash, S.P., Subhashini, K.R., Satapathy, J.K. (2020). Ant Lion Optimization Technique for Minimization of Voltage Deviation Through Optimal Placement of Static VAR Compensator. 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_24

Download citation

Publish with us

Policies and ethics

Search

Navigation