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Frontiers in Energy

, Volume 13, Issue 1, pp 86–98 | Cite as

Reactive power deployment and cost benefit analysis in DNO operated distribution electricity markets with D-STATCOM

  • Atma Ram GuptaEmail author
  • Ashwani KumarEmail author
Research Article

Abstract

The aim of this paper is to analyze unbalanced radial distribution systems (UBRDS) with the distribution static compensator (D-STATCOM). The main objectives of this paper are D-STATCOM allocation in UBRDS with an objective of providing reactive power support to enhance voltage profile and reduce line losses of the distribution network, determination of optimal D-STATCOM rating subjected to minimization of total cost, and impact of D-STATCOM placement on improving power factor and savings in cost of energy loss. The analysis is conducted on a large industrial load model with light, medium and high loading scenarios. Further, the impact of load growth is also considered for better planning of the power distribution system. The results are obtained on standard 25-bus UBRDS to check the feasibility of the proposed methodology.

Keywords

unbalanced distribution system D-STATCOM voltage sensitivity index load models load growth distribution network operator (DNO) 

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Notes

Acknowledgements

The MHRD, Govt. of India was gratefully acknowledged for providing research facilities to the work reported in this paper.

References

  1. 1.
    Ng H N, Salama M M A, Chikhani A Y. Classification of capacitor allocation techniques. IEEE Transactions on Power Delivery, 2000, 15(1): 387–392CrossRefGoogle Scholar
  2. 2.
    Bhattacharya K, Zhong J. Reactive power as an ancillary service. IEEE Transactions on Power Systems, 2001, 16(2): 294–300CrossRefGoogle Scholar
  3. 3.
    Ghafouri A, Fereidunian A, Lesani H, Torabi H, Kharazmi P. Performance evaluation for DNO governance using data envelopment analysis method. 2nd Iranian Conference on Smart Grids (ICSG), Tehran, Iran, 2012: 1–5Google Scholar
  4. 4.
    Dandachi N H, Rawlins M J, Alsac O, Prais M, Stott O. OPF for reactive pricing studies on the NGC system. IEEE Transactions on Power Systems, 1996, 11(1): 226–232CrossRefGoogle Scholar
  5. 5.
    Ghosh A, Ledwich G. Power Quality Enhancement Using Custom Power Devices. London: Kluwer Academic Publishers, 2002CrossRefGoogle Scholar
  6. 6.
    Yang Z, Shen C, Crow M L, Zhang L. An improved STATCOM model for power flow analysis. Power Engineering Society Summer Meeting, 2000, 2(2): 1121–1126Google Scholar
  7. 7.
    Bapaiah P. Power quality improvement by using D-STATCOM. International Journal of Emerging Trends in Electrical and Electronics, 2013, 2(4): 1–12Google Scholar
  8. 8.
    Singh B, Arya S R. Design and control of a D-STATCOM for power quality improvement using cross correlation function approach. International Journal of Engineering Science and Technology, 2012, 4(1): 74–86Google Scholar
  9. 9.
    Hosseini M, Shayanfar H A. Modeling of series and shunt distribution FACTS devices in distribution systems load flow. Journal of Electrical Systems, 2008, 4(4): 1–22Google Scholar
  10. 10.
    Sauer P W. A report on “Reactive Power Support Services in Electricity Markets”. Power Systems Engineering Research Center, Publication 00-08, May 2001Google Scholar
  11. 11.
    Hussain S M S, Visali N. Identification of weak buses using voltage stability indicator and its voltage profile improvement by using DSTATCOM in radial distribution systems. IOSR Journal of Electrical and Electronics Engineering, 2012, 2(4): 17–23CrossRefGoogle Scholar
  12. 12.
    Suhail Hussain S M, Subbaramiah M. An analytical approach for optimal location of D-STATCOM in radial distribution system. IEEE International Conference on Energy Efficient Technologies for Sustainability (ICEETS), USA, 2013: 1365–1369Google Scholar
  13. 13.
    Farhoodnea M, Mohamed A, Shareef H, Zayandehroodi H. Optimum D-STATCOM placement using firefly algorithm for power quality enhancement. IEEE 7th International Power Engineering and Optimization Conference (PEOCO), Langkawi Island, Malaysia, 2013: 98–102Google Scholar
  14. 14.
    Taher S A, Afsari S A. Optimal location and sizing of D-STATCOM in distribution systems by immune algorithm. Electrical Power and Energy Systems, 2014, 60: 34–44CrossRefGoogle Scholar
  15. 15.
    Devi S, Geethanjali M. Optimal location and sizing determination of distributed generation and D-STATCOM using particle swarm optimization algorithm. Electrical Power and Energy Systems, 2014, 62: 562–570CrossRefGoogle Scholar
  16. 16.
    Yuvaraj T, Ravi K, Devabalaji K R. D-STATCOM allocation in distribution networks considering load variations using bat algorithm. Ain Shams Engineering Journal, 2015Google Scholar
  17. 17.
    Devabalaji K R, Ravi K. Optimal size and siting of multiple DG and D-STATCOM in radial distribution system using Bacterial Foraging Optimization Algorithm. Ain Shams Engineering Journal, 2015Google Scholar
  18. 18.
    Yuvaraj T, Devabalaji K R, Ravi K. Optimal placement and sizing of D-STATCOM using harmony search algorithm. Energy Procedia, 2015, 79: 759–765CrossRefGoogle Scholar
  19. 19.
    Kanwar N, Gupta N, Niazi K R, Swarnkar A. Improved cat swarm optimization for simultaneous allocation of D-STATCOM and DGs in distribution systems. Journal of Renewable Energy, 2015: 189080Google Scholar
  20. 20.
    Gupta A R, Kumar A. Energy savings using D-STATCOM placement in radial distribution system. Procedia Computer Science, 2015, 70: 558–564CrossRefGoogle Scholar
  21. 21.
    Sanam J, Ganguly S, Panda A K. Placement of D-STATCOM in radial distribution systems for the compensation of reactive power. Smart Grid Technologies-Asia (ISGT ASIA), 2015Google Scholar
  22. 22.
    Tolabi H B, Ali M H, Rizwan M. Simultaneous reconfiguration, optimal placement of D-STATCOM, and photovoltaic array in a distribution system based on fuzzy-ACO approach. IEEE Transactions on Sustainable Energy, 2015, 6(1): 210–218CrossRefGoogle Scholar
  23. 23.
    Abbasi A R, Khoramini R, Dehghan B, Abbasi M, Karimi E. A new intelligent method for optimal allocation of D-STATCOM with uncertainty. Journal of Intelligent & Fuzzy Systems, 2015, 29(5): 1881–1888CrossRefGoogle Scholar
  24. 24.
    Shanmugasundaram P, Babu A R. Application of D-STATCOM for loss minimization in radial distribution system. Proceedings of the International Conference on Soft Computing Systems, 2015, 397: 189–198CrossRefGoogle Scholar
  25. 25.
    Morin J, Colas F, Guillaud X, Grenard S, Dieulot J Y. Rules based voltage control for distribution networks combined with TSO-DSO reactive power exchanges limitations. Power Tech IEEE Eindhoven, 2015: 1–6Google Scholar
  26. 26.
    Gordijn J, Akkermans H. Business models for distributed generation in a liberalized market environment. Electric Power Systems Research, 2007, 77(9): 1178–1188CrossRefGoogle Scholar
  27. 27.
    Ali S, Mutale J. Reactive power management at transmission/ distribution interface. 50th International Universities Power Engineering Conference (UPEC), United Kingdom, 2015Google Scholar
  28. 28.
    Butler S, Leach M. UK electricity networks—the nature of UK electricity transmission and distribution networks in an intermittent renewable and embedded electricity generation future. A report submitted in partial fulfillment of the requirements for the MSc and/ or the DIC, 2001Google Scholar
  29. 29.
    Murty V V S N, Kumar A. Capacitor allocation in unbalanced distribution system under unbalances and loading conditions. Energy Procedia, 2014, 54: 47–74CrossRefGoogle Scholar
  30. 30.
    Murty V V S N, Kumar A. Optimal placement of DG in radial distribution systems based on new voltage stability index under load growth. International Journal of Electrical Power & Energy Systems, 2015, 69: 246–256CrossRefGoogle Scholar
  31. 31.
    Sharma A K, Murty V V S N. Analysis of mesh distribution systems considering load models and load growth impact with loops on system performance. Journal of the Institution of Engineers (India): Series B, 2014, 95(4): 295–318CrossRefGoogle Scholar
  32. 32.
    Vulasala G, Sirigiri S, Thiruveedula R. Feeder reconfiguration for loss reduction in unbalanced distribution system using genetic algorithm. International Journal of Computer, Electrical, Automation. Control and Information Engineering, 2009, 3(4): 1050–1058Google Scholar
  33. 33.
    MATLAB version 7.8. The MATLAB by Mathworks Corporation, 2009Google Scholar

Copyright information

© Higher Education Press and Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  1. 1.Department of Electrical EngineeringNational Institute of TechnologyKurukshetraIndia

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