Skip to main content
SpringerLink
Log in

Harmony search algorithm and combined index-based optimal reallocation of generators in a deregulated power system

  • Original Article
  • Published:
Neural Computing and Applications Aims and scope Submit manuscript

Abstract

It is compulsory for the electrical industry to make effective utilization of the available resources and provide a stable and reliable supply to the consumers. Optimal reallocation of generators and implementation of FACTS devices have been found to be very effective in this regard. In this paper, a combinatory strategy of optimal tuning of generators using harmony search algorithm in the presence of static VAR compensator has been proposed. The static VAR compensator has been placed on the basis of a combined index that comprises of Vi/Vo index and L-index. A multi-objective function comprising of voltage deviations, active power generation costs and line losses has been considered for proper tuning of the generators. The results obtained are compared with the genetic algorithm. The proposed method has been tested and implemented on an IEEE 30 bus system for normal loading and for severe system conditions due to line outage.

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

Similar content being viewed by others

References

  1. Hingorani NG, Gyugyi L (1999) Understanding FACTS—concepts and technology of flexible AC transmission systems. Wiley, USA

    Google Scholar 

  2. Yang X-S (2010) Engineering optimization—An introduction with metaheuristic applications. John Wiley, USA

    Book  Google Scholar 

  3. Balachennaiah P, Suryakalavathi M, Nagendra P (2015) Optimizing real power loss and voltage stability limit of a large transmission network using firefly algorithm. Eng Sci Technol Int J JESTECH 19(2):800–810

    Google Scholar 

  4. Inkollu SR, Kota VR (2015) Optimal setting of FACTS devices for voltage stability improvement using PSO adaptive GSA hybrid algorithm. Eng Sci Technol Int J JESTECH 19(3):1166–1176

    Google Scholar 

  5. Prasad D, Mukharjee V (2016) A novel symbiotic organisms search algorithm for optimal power flow of power system with FACTS devices. Eng Sci Technol Int J JESTECH 19(1):79–89

    Google Scholar 

  6. Chang Y-C (2012) Multi-objective optimal SVC installation for power system loading margin improvement. IEEE Trans Power Syst 27(2):984–992

    Article  Google Scholar 

  7. Nam TP, Viet DT, Ut LV (2014) Optimal placement of SVC in power market. In: IEEE 9th conference on industrial electronics and applications, Hangzhou, pp 1713–1718

  8. Rao BV, Gundavarapu VNK (2014) Firefly algorithm based optimal power flow with Static VAR Compensator for improvement of power system security under network contingency. Int Electr Eng J IEEJ 5(12):1639–1648

    Google Scholar 

  9. Rao BV, Kumar GVN (2015) A comparative study of BAT and firefly algorithms for optimal placement and sizing of Static VAR Compensator for enhancement of voltage stability. Int J Energy Optim Eng 4(1):68–84

    MathSciNet  Google Scholar 

  10. Kalavani R, Kamaraj V (2012) Enhancement of voltage stability by optimal location of static VAR compensator using genetic algorithm and particle swarm optimization. Am J Eng Appl Sci 5(1):70–77

    Article  Google Scholar 

  11. Khandani F, Soleymani S, Mozafari B (2011) Optimal placement of SVC to improve voltage profile using hybrid genetics algorithm and sequential quadratic programming. In: Electrical power distribution networks (EPDC), 16th conference on 19–20, 2011, pp 1–6

  12. Phadke AR, Fozdar M, Niazi KR (2009) A new multi-objective formulation for optimal placement of shunt flexible AC transmission systems controller. Electr Power Compon Syst 37(12):1386–1402

    Article  Google Scholar 

  13. Jirapong P, Ongsakul W (2007) Optimal placement of multi-type FACTS devices for total transfer capability enhancement using hybrid evolutionary algorithm. Electr Power Compon Syst 35(9):981–1005

    Article  Google Scholar 

  14. Mishra A, Gundavarapu VNK (2016) Contingency management of power system with Interline Power Flow Controller using Real Power Performance Index and Line Stability Index. Ain Shams Eng J 7(1):209–222

    Article  Google Scholar 

  15. Yesuratnam G, Thukaram D (2007) Congestion management in open access based on relative electrical distances using voltage stability criteria. Electr Power Syst Res 77(12):1608–1618

    Article  Google Scholar 

  16. Geem ZW, Kim JH, Loganathan GV (2001) A new heuristic optimization algorithm: harmony search. Simulation 76(2):60–68

    Article  Google Scholar 

  17. Al-Betar MA, Awadallah MA, Khader AT, Bolaji AL (2016) Tournament-based harmony search algorithm for non-convex economic load dispatch problem. Appl Soft Comput 47(1):449–459

    Article  Google Scholar 

  18. Arul R, Velusami S, Ravi G (2014) Solving combined economic emission dispatch problem using self-adaptive differential harmony search algorithm. In: International conference on circuit, power and computing technologies (ICCPCT)

  19. Shiva CK, Mukherjee V (2015) A novel quasi-oppositional harmony search algorithm for automatic generation control of power system. Appl Soft Comput 35:749–765

    Article  Google Scholar 

  20. Mageshvaran R, Jayabarathi T (2015) Steady state load shedding to mitigate blackout in power systems using an improved harmony search algorithm. Ain Shams Eng J 6(3):819–834

    Article  Google Scholar 

  21. Shiva CK, Mukherjee V (2016) 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

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of EEE, GITAM University, Visakhapatnam, India

    Sravana Kumar Bali

  2. Department of EEE, JNT University, Hyderabad, India

    Suryakalavathi Munagala

  3. Department of EEE, Vignan’s Institute of Information Technology, Visakhapatnam, India

    Venkata Nagesh Kumar Gundavarapu

Authors
  1. Sravana Kumar Bali
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Suryakalavathi Munagala
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Venkata Nagesh Kumar Gundavarapu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Venkata Nagesh Kumar Gundavarapu.

Ethics declarations

Conflict of interest

The author(s) declare(s) that there is no conflict of interest regarding the publication of this article.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bali, S.K., Munagala, S. & Gundavarapu, V.N.K. Harmony search algorithm and combined index-based optimal reallocation of generators in a deregulated power system. Neural Comput & Applic 31, 1949–1957 (2019). https://doi.org/10.1007/s00521-017-3177-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00521-017-3177-3

Keywords

Search

Navigation