Skip to main content

Worst Case Voltage Variation on Microgrid

  • Chapter
Book cover Smart Power Grids 2011

Part of the book series: Power Systems ((POWSYS))

Abstract

Integration of different types of distributed energy resources (DERs) in distribution network has significant effects on voltage profile for both customers and distribution network service providers (DNSPs). This impact may manifest itself positively or negatively, depending on the voltage variation and the amount of DERs that can be connected to the distribution networks. This chapter presents a way to estimate the voltage variation and the amount of the DERs in a microgrid. To do this, a voltage rise formula is derived with some approximation and the validation of this formula is checked by comparing with the existing power |systems simulation software. Using the voltage variation formula, the worst case scenario of microgrid is used to estimate the amount of voltage variation and maximum permissible DERs. The relationship between voltage level, voltage rise, and connection cost of DERs in a microgrid is also described in this chapter. Finally, based on the worst case scenario of microgrid; some recommendations are given to counteract the voltage rise effect.

An Erratum for this chapter can be found at http://dx.doi.org/10.1007/978-3-642-21578-0_22

An erratum to this chapter can be found at http://dx.doi.org/10.1007/978-3-642-21578-0_22

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 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Alderfer, B., Eldridge, M., Starrs, T.: Making connection: Case studies of interconnection barriers and their impact on distributed power projects. National Renewable Energy Laboratory (2000)

    Google Scholar 

  2. Willis, H.L., Scott, W.G.: Distributed Power Generation: Planning and Evaluation. Marcel Dekker, New York (2000)

    Google Scholar 

  3. Wright, A.J., Formby, J.R.: Overcoming barriers to scheduling embedded generation to support distribution networks. EA Technology- Department of Trade and Industry (2000)

    Google Scholar 

  4. Akorede, M.F., Hizam, H., Pouresmaeil, E.: Distributed energy resources and benefits to the environment. Renewable and Sustainable Energy Reviews 14(10), 724–734 (2010)

    Article  Google Scholar 

  5. Chiradeja, P., Ramakumar, R.: An approach to quantify the technical benefits of distributed generation. IEEE Trans. on Energy Conversion 19(4), 764–773 (2004)

    Article  Google Scholar 

  6. Ochoa, L.F., Padilha-Feltrin, A., Harrison, G.P.: Evaluating distributed generation impacts with a multiobjective index. IEEE Trans. on Power Delivery 21(3), 1452–1458 (2006)

    Article  Google Scholar 

  7. Masters, C.L.: Voltage rise: the big issue when connecting embedded generation to long 11 kV overhead lines. IET Power Engineering Journal 16(2), 5–12 (2002)

    Article  Google Scholar 

  8. Ochoa, L.F.: Time-series based maximization of distributed wind power generation integration. IEEE Trans. on Energy Conversion 23(3), 968–974 (2008)

    Article  Google Scholar 

  9. Quezada, V.H.M., Abbad, J.R., Romn, T.G.S.: Assessment of energy distribution losses for increasing penetration of distributed generation. IEEE Trans. on Power Systems 21(2), 533–540 (2006)

    Article  Google Scholar 

  10. Wang, C., Nehrir, M.H.: Analytical approaches for optimal placement of distributed generation sources in power systems. IEEE Trans. on Power Systems 19(4), 2068–2076 (2004)

    Article  Google Scholar 

  11. Acharya, N., Mahat, P., Mithulananthan, N.: An analytical approach for dg allocation in primary distribution network. Int. J. Elect. Power and Energy Syst. 28(10), 669–678 (2006)

    Article  Google Scholar 

  12. Dent, C.J., Ochoa, L.F., Harrison, G.P.: Network distribution capacity analysis using OPF with voltage step constraints. IEEE Trans. on Power Systems 25(1), 296–304 (2010)

    Article  Google Scholar 

  13. Ochoa, L.F., Dent, C.J., Harrison, G.P.: Distribution network capacity assessment: Variable DG and active networks. IEEE Trans. on Power Systems 25(1), 87–95 (2010)

    Article  Google Scholar 

  14. Keane, A., Ochoa, L.F., Vittal, E., Dent, C.J., Harrison, G.P.: Enhanced utilization of voltage control resources with distributed generation. IEEE Trans. on Power Systems 26(1), 252–260 (2011)

    Article  Google Scholar 

  15. Kersting, W.H.: Distribution System Modelling and Analysis, 2nd edn. CRC Press, London (2007)

    Google Scholar 

  16. IEEE 34 node test feeder. IEEE PES Distribution System Analysis Subcommittee, http://www.ewh.ieee.org/soc/pes/dsacom/testfeeders/index.html (accessed November 28, 2010)

  17. Strbac, G., Jenkins, N., Hird, M., et al.: Integration of operation of embedded generation and distribution networks. Manchester Centre for Electrical Energy (2002)

    Google Scholar 

  18. Mutale, J.: Benefits of active management of distribution networks with distributed generation. In: Power Systems Conference and Exposition PSCE, pp. 601–606 (2006)

    Google Scholar 

  19. Energy Australia Report, Network Pricing List (2010), http://www.energyaustralia.com.au/Common/Network-Supply-and-Services/Electricity-supply/~/media/Files/Network/Electricity%20Supply/Network%20Pricing/20100621NetworkPricelist201011.ashx (accessed March 22, 2011)

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. A. Mahmud .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Mahmud, M.A., Hossain, M.J., Pota, H.R. (2012). Worst Case Voltage Variation on Microgrid. In: Keyhani, A., Marwali, M. (eds) Smart Power Grids 2011. Power Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21578-0_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-21578-0_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21577-3

  • Online ISBN: 978-3-642-21578-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics