Skip to main content

Advertisement

SpringerLink
Log in

PSO Based Optimal Power Flow with FACTS Devices for Security Enhancement Considering Credible Network Contingencies

  • Original Contribution
  • Published:
Journal of The Institution of Engineers (India): Series B Aims and scope Submit manuscript

Abstract

This work presents particle swarm optimization (PSO) based method to solve the optimal power flow in power systems incorporating flexible AC transmission systems controllers such as thyristor controlled phase shifter, thyristor controlled series compensator and unified power flow controller for security enhancement under single network contingencies. A fuzzy contingency ranking method is used in this paper and observed that it effectively eliminates the masking effect when compared with other methods of contingency ranking. The fuzzy based network composite overall severity index is used as an objective to be minimized to improve the security of the power system. The proposed optimization process with PSO is presented with case study example using IEEE 30-bus test system to demonstrate its applicability. The results are presented to show the feasibility and potential of this new approach.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  1. B. Stott, E. Hobson, Power system security control calculations using linear programming—part I. IEEE Trans. Power Syst. PAS-97, 1713–1719 (1978)

    Article  Google Scholar 

  2. T.K.P. Medicherla, R. Billinton, M.S. Sachdev, Generation rescheduling and load shedding to alleviate line overloads—analysis. IEEE Trans. Power Syst. 98, 1876–1884 (1979)

    Article  Google Scholar 

  3. N. Srinivasan, K.S. Prakaesa, S.S. Venkata, On-line computation of phase shifter distribution factors and line load alleviation. IEEE Trans. Power Syst. PAS-104(7), 1656–1662 (1985)

    Article  Google Scholar 

  4. M.R. Iravani, D. Maratukulam, Review of semiconductor controlled (static) phase shifters for power system applications. IEEE Trans. Power Syst. 9(4), 1833–1839 (1994)

    Article  Google Scholar 

  5. R. Baldick, E. Kahn, Contract paths, phase shifters, and efficient electricity trade. IEEE Trans. Power Syst. 12(2), 749–755 (1997)

    Article  Google Scholar 

  6. M. Noroozian, L. Angquist, M. Ghandhari, G. Anderson, Improving power system dynamics by series-connected FACTS devices. IEEE Trans. Power Delivery 12(4), 1635–1641 (1997)

  7. M. Noroozian, L. Angquist, M. Ghandhari, G. Andersson, Use of UPFC for optimal power flow control. IEEE Trans. Power Delivery 12(4), 1629–1634 (1997)

  8. N.G. Hingurani, L. Gyugyi, Understanding FACTS: concepts and technology of flexible AC transmission systems (IEEE Press, New York, 2000)

    Google Scholar 

  9. R. Billinton, M. Fotuhi-Firuzabad, S. O. Faried, S. Aboreshaid, Impact of unified power flow controllers on power system reliability. IEEE Trum. Paver Syst. 15(1) (2000)

  10. J.A. Momoh, J.Z. Zhu, G.D. Boswell, S. Hoffman, Power system security enhancement by OPF with phase shifter. IEEE Trans. Power Syst. 16(2), 287–293 (2001)

  11. S.-H. Song, J.-U. Lim, S.-I. Moon, FACTS operation scheme for enhancement of power system security. in Power Tech Conference Proceedings, 2003. IEEE Bologna, vol. 3, pp. 36–41, 23–26 June 2003

  12. L.J. Cai, I. Erlich, Optimal choice and allocation of FACTS devices in deregulated electricity market using genetic algorithms, in Power Systems Conference and Exposition, 2004. IEEE PES, vol. 1, pp. 201–207, 10–13 Oct 2004

  13. J. Baskaran, V. Palanisamy, Genetic algorithm applied to optimal location of FACTS device in a power system network considering economic saving cost. Acad. Open Int. J. 15, 1–3 (2005)

    Google Scholar 

  14. A.D. Papalexopoulos, C.F. Imparato, F.F. Wu, Large scale optimal power flow: effects of initialization decoupling and discretization. IEEE Trans. Power Syst. 4, 748–759 (1989)

    Article  Google Scholar 

  15. O. Alsac, B. Sttot, Optimal power flow with steady-state security. IEEE Trans. Power Syst. 93, 745–751 (1974)

    Article  Google Scholar 

  16. J.Z. Zhu, G.Y. Xu, A new real power economic dispatch method with security. Electr. Power Syst. Res. 25(1), 9–15 (1992)

    Article  Google Scholar 

  17. L.L. Lai, J.T. Ma, Improved genetic algorithms for optimal power flow solutions under both normal and contingent operation states. Int. J. Electr. Power Syst. 19(5), 287–292 (1997)

    Article  Google Scholar 

  18. J. Yuryevich, K.P. Wong, Evolutionary programming based optimal power flow algorithm. IEEE Trans. Power Syst. 14(4), 1245–1250 (1999)

    Article  Google Scholar 

  19. J. Kennedy, The particle swarm: social adaptation of knowledge, in Proceedings of 1997 IEEE International Conference on Evolutionary Computation ICEC, 97 (Indianapolis, IN, USA, 1997), pp. 303–308

  20. P. Angeline, Evolutionary optimization versus particle swarm optimization: philosophy and performance differences, in Proceedings of 7th Annual Conference on Evolutionary Programming, 1998, pp. 601–610

  21. Y. Shi, R. Eberhart, Parameter selection in particle swarm optimization, in Proceedings of 7th Annual Conference on Evolutionary Programming 1998, pp. 591–600

  22. E. Ozean, C. Mohan, Analysis of a simple particle swarm optimization system. Intell. Eng. Syst. Artif. Neural Netw. 8, 253–258 (1998)

    Google Scholar 

  23. D. Devaraj, R.N. Banu, Optimal power flow for steady state security enhancement using enhanced genetic algorithm with FACTS devices. Asian Power Electron. J. 4(3), 83–89 (2010)

    Google Scholar 

  24. K. Galiana, K. Almeida, M. Toussaint, J. Griffin, D. Atanackovic, B.T. Ooi, T. McGillis, Assessment and control of the impact of FACTS devices on power system performance. IEEE Trans. Power Syst. 11(1), 1931–1936 (1996)

    Article  Google Scholar 

  25. B. Alberto, D. Maurizio, M. Paolo, S.P. Marco, S. Andrea, Enhanced security-constrained OPF With FACTS devices. IEEE Trans. Power Syst. 20(3), 1597–1605 (2005)

    Article  Google Scholar 

  26. J.G. Singh, S.N. Singh, S.C. Srivastava, Enhancement of power system security through optimal placement of TCSC and UPFC, in Power engineering society general meeting, pp. 1–6, 2007

  27. D. Thukaram, L. Jenkins, H.P. Khincha, K. Visakha, B. Ravikumar, Fuzzy logic application for network contingency ranking using composite criteria. Eng. Intell. Syst. 15(4), 205–212 (2007)

    Google Scholar 

  28. K.Y. Lee, Y.M. Park, J.L. Ortiz, A united approach to optimal real and reactive power dispatch. IEEE Trans. Power Apparat. Syst. 104, 1147–1153 (1985)

    Article  Google Scholar 

  29. W. Ongsakul, T. Tantimaporn, Optimal power flow by improved evolutionary programming. Electr. Power Compon. Syst. 34, 79–95 (2006)

    Article  Google Scholar 

  30. M.A. Abido, Optimal power flow using particle swarm optimization. Electr. Power Energy Syst. 24(7), 563–571 (2002)

    Article  Google Scholar 

  31. P. Jirapong, W. Ongsakul, Optimal placement of multi type FACTS devices for total transfer capability enhancement using hybrid evolutionary algorithm. Electr. Power Compon. Syst. 35, 981–1005 (2007)

    Article  Google Scholar 

  32. R. Jayashree, M.A. Khan, A unified optimization approach for the enhancement of available transfer capability and congestion management using unified power flow controller. Serb. J. Electr. Eng. 5(2), 305–324 (2008)

    Article  Google Scholar 

  33. D. Devaraj, B. Yegnanarayana, Genetic algorithm-based optimal power flow for security enhancement. IEE Proc. Gener. Transm. Distrib. 152(6), 899–905 (2005)

    Article  Google Scholar 

  34. X.P. Zhang, S.G. Petoussis, K.R. Godfrey, Nonlinear interior point optimal power flow method based on a current mismatch formulation. IEE Proc. Gener. Transm. Distrb. 152(6), 795–805 (2005)

    Article  Google Scholar 

  35. R.N. Banu, D. Devaraj, Multi-objective GA with fuzzy decision making for security enhancement in power system. Appl. Soft Comput. 12(9), 2756–2764 (2012)

    Article  Google Scholar 

  36. E. Ghahremani, I. Kamwa, Optimal placement of multiple-type FACTS devices to maximize power system loadability using a generic graphical user interface. IEEE Trans. Power Syst. 28(2), 764–778 (2013)

    Article  Google Scholar 

  37. K. Pandiarajan, C.K. Babulal, Transmission line management using hybrid differential evolution with particle swarm optimization. J. Electr. Syst. 10(1), 21–35 (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Electrical Department, Sri Vasavi Engineering College, Tadepalligudem, West Godavari Dist., Andhra Pradesh, India

    C. Rambabu

  2. Electrical Department, Lakireddy Bali Reddy College of Engineering, Mylavaram, Krishna Dist., Andhra Pradesh, India

    Y. P. Obulesu

  3. Electrical Department, Jawaharlal Nehru Technological University Kakinada, Kakinada, East Godavari Dist., Andhra Pradesh, India

    Ch. Saibabu

Authors
  1. C. Rambabu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Y. P. Obulesu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ch. Saibabu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to C. Rambabu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rambabu, C., Obulesu, Y.P. & Saibabu, C. PSO Based Optimal Power Flow with FACTS Devices for Security Enhancement Considering Credible Network Contingencies. J. Inst. Eng. India Ser. B 96, 147–158 (2015). https://doi.org/10.1007/s40031-014-0137-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40031-014-0137-5

Keywords

Search

Navigation