Skip to main content
SpringerLink
Log in

A Survey on Load/Power Flow Methods and DG Allocation Using Grasshopper Optimization Algorithm in Distribution Networks

  • Conference paper
  • First Online:
Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1057))

Abstract

Emerging smart grid technologies in electric distribution network (EDN) planning, operation, and automation require fast and efficient power flow methods. This imposes the continual search for speedy and effective power flow algorithms for EDNs. The present paper illustrates a survey and summary of recent developments in power flow methods. Several technical approaches have been presented for optimal power flow methods for power loss identification and distributed generation (DG) allocation in EDNs. The main contribution of the present survey paper is calculation of network power loss using power flow methods in radial distribution networks (RDNs). Here two major power flow methods used are forward and backward sweep (FBS) and direct approach (DA). The methods are compared on the basis of loss reduction and minimum voltage bus identification capability. The present survey provides the researchers a clear idea of power flow methods utilized in EDN performance enhancement. The power flow analysis is carried out on different EDNs, i.e., small, medium and large scale. Later DG allocation is carried out by using a novel meta-heuristic algorithm called grasshopper optimization algorithm (GOA). The results obtained are compared with existing techniques.

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

Access this chapter

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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

Institutional subscriptions

References

  1. Teng, Jen-Hao: A direct approach for distribution system load flow solutions. IEEE Trans. Power Deliv. 18(3), 882–887 (2003)

    Article  MathSciNet  Google Scholar 

  2. Teng, J.J.H., Lin, W.M.: Current-based power flow solutions for distribution systems. In: Proc. IEEE Int. Conf. Power Syst. Technol., pp. 414–418. Beijing, China (1994)

    Google Scholar 

  3. Shirmohammadi, D., Hong, H.W., Semlyen, A., Luo, G.X.: A compensation-based power flow method for weakly meshed distribution and transmission networks. IEEE Trans. Power Syst. 3, 753–762 (1988)

    Article  Google Scholar 

  4. Chen, T.-H., Chen, M.-S., Hwang, K.-J., Kotas, P., Chebli, E.A.: Distribution system power flow analysis—A rigid approach. IEEE Trans. Power Deliv. 6, 1146–1152 (1991)

    Article  Google Scholar 

  5. Chen, T.S., Chen, M.S., Inoue, T., Chebli, E.A.: Three-phase cogenerator and transformer models for distribution system analysis. IEEE Trans. Power Deliv. 6, 1671–1681, 2 October 1991

    Article  Google Scholar 

  6. Chen, T.H., Chang, J.D.: Open wye-open delta and open delta-open delta transformer models for rigorous distribution system analysis. In: Proceedings of the Institution of Electrical Engineers, vol. 139, pp. 227–234 (1992)

    Article  Google Scholar 

  7. Cheng, C.S., Shirmohammadi, D.: A three-phase power flow method for real-time distribution system analysis. IEEE Trans. Power Syst. 10, 671–679 (1995)

    Article  Google Scholar 

  8. Zimmerman, R.D., Chiang, H.D.: Fast decoupled power flow for unbalanced radial distribution systems. IEEE Trans. Power Syst. 10, 2045–2052 (1995)

    Article  Google Scholar 

  9. Das, D., Kothari, D.P., Kalam, A.: Simple and efficient method for load flow solution of radial distribution networks. Int. J. Electr. Power Energy Syst. 17(5), 335–346 (1995)

    Article  Google Scholar 

  10. Rajičić, D., Taleski, R.: Two novel methods for radial and weakly meshed network analysis. Electr. Power Syst. Res. 48(2), 79–87 (1998)

    Article  Google Scholar 

  11. Ghosh, S., Das, D.: Method for load-flow solution of radial distribution networks. IEE Proc.-Gener. Transm. Distrib. 146(6):641–648 (1999)

    Article  Google Scholar 

  12. Haque, M.H.: A general load flow method for distribution systems. Electr. Power Syst. Res. 54(1), 47–54 (2000)

    Article  Google Scholar 

  13. Liu, J., Salama, M.M.A., Mansour, R.R.: An efficient power flow algorithm for distribution systems with polynomial load. Int. J. Electric. Eng. Educ. 39(4), 371–386 (2002)

    Article  Google Scholar 

  14. Eminoglu, U., Hocaoglu, M.H.: A new power flow method for radial distribution systems including voltage dependent load models. Electric Power Syst. Res. 76(1–3), 106–114 (2005)

    Article  Google Scholar 

  15. Kayal, P., Chanda, C.K.: Placement of wind and solar based DGs in distribution system for power loss minimization and voltage stability improvement. Int. J. Electr. Power Energy Syst. 53, 795–809 (2013)

    Article  Google Scholar 

  16. Bansal, A., Kumar, A., Kumar, N.: Loss optimization of IEEE 12 bus radial distribution system integration with wind weibull distribution function using PSO technique. In: 2016 IEEE 7th Power India International Conference (PIICON), pp. 1–6 (2016)

    Google Scholar 

  17. Reddy, P.D.P., Reddy, V.V., Manohar, T.G.: Ant Lion optimization algorithm for optimal sizing of renewable. In: Electrical Power & Energy Systems, vol. 28, pp. 669–678 (2017)

    Google Scholar 

  18. Dixit, M., Kundu, P., Jariwala, H.R.: Incorporation of distributed generation and shunt capacitor in radial distribution system for techno-economic benefits. Eng. Sci. Technol. Int. J. 20(2), 482–493 (2017)

    Article  Google Scholar 

  19. Sanjay, R., Jayabarathi, T., Raghunathan, T., Ramesh, V., Mithulananthan, N.: Optimal allocation of distributed generation using hybrid grey wolf optimizer. IEEE Access. 5, 14807–14818 (2017)

    Article  Google Scholar 

  20. Saremi, S., Mirjalili, S., Lewis, A.: Grasshopper optimisation algorithm: theory and application. Adv. Eng. Softw. 105, 30–47 (2017)

    Article  Google Scholar 

  21. Teng, J.-H.: Modelling distributed generations in three-phase distribution load flow. IET Gener. Transm. Distrib. 2(3), 330–340 (2008)

    Article  MathSciNet  Google Scholar 

  22. Schneider, K.P., Chassin, D., Chen, Y., Fuller, J.C.: Distribution power flow for smart grid technologies. In: Power Systems Conference and Exposition, PSCE’09. IEEE/PES, pp. 1–7 (2009)

    Google Scholar 

  23. Chen, Tsai-Hsiang, Yang, Nien-Che: Loop frame of reference based three-phase power flow for unbalanced radial distribution systems. Electr. Power Syst. Res. 80(7), 799–806 (2010)

    Article  Google Scholar 

Download references

Acknowledgements

The second author thanks VIT for providing ‘VIT SEED GRANT’ for carrying out this research work.

Author information

Authors and Affiliations

  1. School of Electrical Engineering, Vellore Institute of Technology, Vellore, India

    Kola Sampangi Sambaiah & T. Jayabarathi

Authors
  1. Kola Sampangi Sambaiah
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. T. Jayabarathi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to T. Jayabarathi .

Editor information

Editors and Affiliations

  1. Department of Mathematics, National Institute of Technology Silchar, Silchar, Assam, India

    Kedar Nath Das

  2. Department of Mathematics, South Asian University, New Delhi, Delhi, India

    Jagdish Chand Bansal

  3. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  4. Department of Mathematics, Faculty of Science, Liverpool Hope University, Liverpool, UK

    Atulya K. Nagar

  5. School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India

    Ponnambalam Pathipooranam

  6. School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India

    Rani Chinnappa Naidu

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

Sambaiah, K.S., Jayabarathi, T. (2020). A Survey on Load/Power Flow Methods and DG Allocation Using Grasshopper Optimization Algorithm in Distribution Networks. In: Das, K., Bansal, J., Deep, K., Nagar, A., Pathipooranam, P., Naidu, R. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 1057. Springer, Singapore. https://doi.org/10.1007/978-981-15-0184-5_53

Download citation

Publish with us

Policies and ethics

Search

Navigation