Skip to main content

Comparative Analysis of Load Flows and Voltage-Dependent Load Modeling Methods of Distribution Networks

  • Conference paper
  • First Online:
Congress on Intelligent Systems (CIS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1335))

Included in the following conference series:

Abstract

Currently, power systems experience new challenges for meeting the growing rate of demand for electricity across the world. In radial distribution networks (RDNs), the R/X ratio varies gradually in respect with the demand, and consequently, their performance decreases rapidly. The distribution losses and uncertain voltage profile of these systems initiate the damage of modern compensation approaches. Integration of distributed energy resources (DER) is one of such approaches by which the passive networks become active and network performance can improve significantly. Prior to integration of DERs, it is essential to analyze the network performance under different load models. In this paper, the performance of standard RDNs is analyzed considering different voltage-dependent load modeling and compared the simulation results on IEEE 15-, 33-, 69-, and 85-bus RDNs. Also, the optimization methods used for solving the problem of optimal allocation of different types of DERs in RDNs are discussed.

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

Access this chapter

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. Satyanarayana, S., Ramana, T., Sivanagaraju, S., Rao, G.K.: An efficient load flow solution for radial distribution network including voltage dependent load models. Electr. Power Components Syst. 35(5), 539–551 (2007)

    Article  Google Scholar 

  2. Milanovic, J.V. et al.: CIGRE WG C4.605: Modelling and Aggregation of Loads in Flexible Power Networks (2014)

    Google Scholar 

  3. Milanovic, J.V., Yamashita, K., Villanueva, S., Djokic, S., Korunovic, L.M.: International industry practice on power system load for modeling. IEEE Trans. Power Syst. 28(3), 3038–3046 (2013)

    Article  Google Scholar 

  4. Eminoglu, U., Hocaoglu, M.H.: Distribution systems forward/backward sweep-based power flow algorithms: a review and comparison study. Electr. Power Components Syst. 37(1), 91–110 (2008)

    Article  Google Scholar 

  5. Gӧzel, T., Eminoglu, U., Hocaoglu, M.H.: A tool for voltage stability and optimization (VS&OP) in radial distribution systems using matlab graphical user interface (GUI). Simul. Modell. Pract. Theor. 16, 505–518 (2008)

    Google Scholar 

  6. Pepermans, G. et al.: Distributed generation: definition, benefits and issues. Energy Policy 33(6), 787–798 (2005)

    Google Scholar 

  7. Tang, L., Yang, F., Ma, J.: A survey on distribution system feeder reconfiguration: objectives and solutions. In: 2014 IEEE Innovative Smart Grid Technologies-Asia (ISGT ASIA). IEEE (2014)

    Google Scholar 

  8. Gellings, C.W., Chamberlin, J.H.: Demand-Side Management: Concepts and Methods (1987)

    Google Scholar 

  9. Aghaei, J., Alizadeh, M.-I.: Demand response in smart electricity grids equipped with renewable energy sources: a review. Renew. Sustain. Energy Rev. 18, 64–72 (2013)

    Article  Google Scholar 

  10. Mishra, S., Das, D.: Distribution system load flow methods: a review. Icfai Univ. J. Electr. Electron. Eng. I(2) (2008)

    Google Scholar 

  11. Arif, A., Wang, Z., Wang, J., Mather, B., Bashualdo, H., Zhao, D.: Load modeling—a review. IEEE Trans. Smart Grid 9(6), 5986–5999 (2017)

    Article  Google Scholar 

  12. Rossoni, A., de F. V. Dresch, R., Bretas, A.S., Bettiol, A.L., Carniato, A., Passos, L.F.N., Martin, R.P.: Load models effects on distribution system losses estimation: a numerical study. In: 2013 IEEE Power & Energy Society General Meeting. ISBN: 978-1-4799-1303-9 (2013)

    Google Scholar 

  13. Janamala, V., Monica Mary, S.: Voltage stability analysis of radial distribution systems by considering load models. In: 2018 International Conference on Communication, Computing and Internet of Things (IC3IoT), IEEE Xplore 978-1-5386-2459-3/18 (2018)

    Google Scholar 

  14. Malleswari, V.N., Chandra Sekhar, K.: Voltage stability analysis of radial distribution system considering distribution generation and composite load modeling. Int. J. Appl. Eng. Res. 13(19), 14095–14101 (2018). ISSN 0973-4562

    Google Scholar 

  15. Rawat, M.S., Vadhera, S.: Impact of photovoltaic penetration on static voltage stability of distribution networks: a probabilistic approach. Asian J. Water Environ. Pollut. 15(3), 51–62 (2018)

    Google Scholar 

  16. Ghosh, S., Sherpa, K.S.: An efficient method for load flow solution of radial distribution networks. Int. J. Electr. Comput. Energetic Electron. Commun. Eng. 2(9) (2008)

    Google Scholar 

  17. Sathiyanarayanan, T., Sydulu, M.: Load flow analysis for radial and mesh connected distribution systems. Int. J. Sci. Res. (IJSR) 3(6), 522–528 (2014)

    Google Scholar 

  18. Singh, K., Bala, R.: A simple and effective method for load-flow solution of radial distribution systems. Int. J. Eng. Dev. Res. 3(4), 526–529 (2015)

    Google Scholar 

  19. Wazir, A., Arbab, N.: Analysis and optimization of IEEE 33 bus radial distributed system using optimization algorithm. J. Emerging Trends Appl. Eng. (JETAE) 1(2) (2016). ISSN 2518–4059

    Google Scholar 

  20. Prakash, D.B., Lakshminarayana, C.: Optimal siting of capacitors in radial distribution network using whale optimization algorithm. Alexandria Eng. J. (2016)

    Google Scholar 

  21. Jagtap, K.M., Khatod, D.K.: Current summation based approach for loss allocation with distributed generation. In: 2018 International Conference on Power, Instrumentation, Control and Computing (PICC), IEEE. ISBN: 978-1-5386-2462-3 (2018)

    Google Scholar 

  22. Ibrahim, D.: An overview of soft computing. Proc. Comput. Sci. 102, 34–38 (2016)

    Article  Google Scholar 

  23. Dinakara Prasasd Reddy, P., Veera Reddy, V.C., Gowri Manohar, T.: Ant lion optimization algorithm for optimal sizing of renewable energy resources for loss reduction in distribution systems. J. Electr. Syst. Inf. Technol. 5, 663–680 (2018)

    Google Scholar 

  24. Atanasovski, M., Taleski, R.: Power summation method for loss allocation in radial distribution networks with DG. IEEE Trans. Power Syst. 26(4), 2491–2499 (2011)

    Article  Google Scholar 

  25. Abou El-Ela, A.A., El-Sehiemy, R.A., Abbas, A.S.: Optimal placement and sizing of distributed generation and capacitor banks in distribution systems using water cycle algorithm. IEEE Syst. J. (2018). ISSN: 1937-9234

    Google Scholar 

  26. Zaki Diab, A.A., Rezk, H.: Optimal sizing and placement of capacitors in radial distribution systems based on grey wolf, dragonfly and moth–flame optimization algorithms. Iran J. Sci. Technol. Trans. Electr. Eng. (2018)

    Google Scholar 

  27. Reddy, P.D.P., Reddy, V.V., Manohar, T.G.: Application of flower pollination algorithm for optimal placement and sizing of distributed generation in distribution systems. J. Electr. Syst. Inf. Technol. 3, 14–22 (2016)

    Article  Google Scholar 

  28. Abdelaziz, A.Y., Ali, E.S., Abd Elazim, S.M.: Optimal sizing and locations of capacitors in radial distribution systems via flower pollination optimization algorithm and power loss index. Eng. Sci. Technol. Int. J. 19, 610–618 (2016)

    Google Scholar 

  29. Sudabattula, S.K., Kowsalya, M.: Optimal allocation of solar based distributed generators in distribution system using Bat algorithm. Perspect. Sci. 8, 270–272 (2016)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to U. Kamal Kumar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kamal Kumar, U., Janamala, V. (2021). Comparative Analysis of Load Flows and Voltage-Dependent Load Modeling Methods of Distribution Networks. In: Sharma, H., Saraswat, M., Yadav, A., Kim, J.H., Bansal, J.C. (eds) Congress on Intelligent Systems. CIS 2020. Advances in Intelligent Systems and Computing, vol 1335. Springer, Singapore. https://doi.org/10.1007/978-981-33-6984-9_38

Download citation

Publish with us

Policies and ethics