Skip to main content

Active Distribution Networks Operation Within a Distribution Market Environment

  • Chapter
  • First Online:
Sustainable Development in Energy Systems

Abstract

This chapter proposes a novel method for the operation of active distribution networks within a distribution market environment taking into account multi-configuration of wind turbines. Multi-configuration multi-scenario market-based optimal power flow is used to maximise the social welfare considering uncertainties related to wind speed and load demand. Scenario-based approach is used to model the uncertainties. The method assesses the impact of multiple wind turbine configurations on the amount of wind power that can be injected into the grid and the distribution-locational marginal prices throughout the network. The effectiveness of the proposed method is demonstrated with 16-bus UK generic distribution system.

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 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 129.99
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

References

  1. R. Banosa, F. Manzano-Agugliaro, F.G. Montoya, C. Gila, A. Alcayde, J. Gómez, “Optimization methods applied to renewable and sustainable energy: A review”, Renewable and Sustainable Energy Reviews, vol. 15, no. 4, pp. 1753–1766, 2011.

    Google Scholar 

  2. D. Kirschen and G. Strbac, Fundamentals of Power System Economics. New York: Wiley, 2004.

    Google Scholar 

  3. A. Piccolo, P. Siano, “Evaluating the impact of network investment deferral on distributed generation expansion”, IEEE Trans. Power Syst., vol. 24, no. 3, pp. 1559–1567, 2009.

    Google Scholar 

  4. G. Mokryani, P. Siano, A. Piccolo and Zhe Chen, “Improving Fault Ride-Through Capability of Variable Speed Wind Turbines in Distribution Networks”, IEEE Systems J., vol. 7, no. 4, pp. 713–722, 2013.

    Google Scholar 

  5. P. Djapic, C. Ramsay, D. Pudjianto, G. Strbac, J. Mutale, N. Jenkins, and R. Allan, “Taking an active approach,” IEEE Power Energy Mag., vol. 5, no. 4, pp. 68–77, 2007.

    Google Scholar 

  6. S. N. Liew and G. Strbac, “Maximising penetration of wind generation in existing distribution networks,” IEE Gener. Transm. Distrib., vol. 149, no. 3, pp. 256–262, 2002.

    Google Scholar 

  7. P. Siano, P. Chen, Z. Chen, and A. Piccolo, “Evaluating maximum wind energy exploitation in active distribution networks,” IET Gener. Transm. Distrib., vol. 4, no. 5, pp. 598–608, 2010.

    Google Scholar 

  8. G. Mokryani, P. Siano, “Strategic placement of distribution network operator owned wind turbines by using market-based optimal power flow,” IET Gener. Transm. Distrib., vol. 8, no. 2, pp. 281–289, 2014.

    Google Scholar 

  9. R. Palma-Behnke, J. L. A. Cerda, L. Vargas, and A. Jofre, “A distribution company energy acquisition market model with the integration of distribution generation and load curtailment options,” IEEE Trans. Power Syst., vol. 20, no. 4, pp. 1718–1727, 2005.

    Google Scholar 

  10. Y. Zhou, L. Wang, and J. D. McCalley, “Designing effective and efficient incentive policies for renewable energy in generation expansion planning,” App. Energy, vol. 88, no. 6, pp. 2201–2209, 2011.

    Google Scholar 

  11. D. J. Burke and M. O’Malley, “Maximizing firm wind connection to security constrained transmission networks,” IEEE Trans. Power Syst., vol. 25, no. 2, pp. 749–759, May 2010.

    Google Scholar 

  12. L. Baringo, A. J. Conejo, “Transmission and Wind Power Investment”, IEEE Trans. Power Syst., vol. 27, no. 2, pp. 885–893, 2012.

    Google Scholar 

  13. L. Baringo, A. J. Conejo, “Wind power investment within a market environment,” Appl. Energy, vol. 88, no. 9, pp. 3239–3247, 2011.

    Google Scholar 

  14. C. Kongman and S. Nuchprayoon, “Feed-in tariff scheme for promoting wind energy generation,” in Proc. IEEE PowerTech, Bucharest, Romania, 2009.

    Google Scholar 

  15. R. A. F. Currie, G. W. Ault, R. W. Fordyce, D. F. MacLeman, M. Smith, and J. R. McDonald, “Actively managing wind farm power output,” IEEE Trans. Power Syst., vol. 23, no. 3, pp. 1523–1524, 2008.

    Google Scholar 

  16. O. Samuelsson, S. Repo, R. Jessler, J. Aho, M. Karenlampi, and A. Malmquist, “Active distribution network—Demonstration project ADINE,” in Proc. IEEE PES Innovative Smart Grid Technologies Conf. Europe (ISGT Europe), Oct. 2010.

    Google Scholar 

  17. M. J. Dolan et al., “Distribution power flow management utilizing an online optimal power flow technique,” IEEE Trans. Power Syst., vol. 27, no. 2, pp. 790–799, 2012.

    Google Scholar 

  18. F. Pilo, G. Pisano, and G. G. Soma, “Optimal coordination of energy resources with a two-stage online active management,” IEEE Trans. Ind. Electron., vol. 58, no. 10, pp. 4526–4537, 2011.

    Google Scholar 

  19. A. Shafiu, T. Bopp, I. Chilvers, and G. Strbac, “Active management and protection of distribution networks with distributed generation”, in Proc. IEEE Power Eng. Soc. General Meeting, 2004.

    Google Scholar 

  20. R. Hidalgo, C. Abbey, and G. Joos, “Technical and economic assessment of active distribution network technologies,” in Proc. IEEE Power Energy Soc. General Meeting, 2011.

    Google Scholar 

  21. Z. Hu and F. Li, “Cost-benefit analyses of active distribution network management, part I: Annual benefit analysis,” IEEE Trans. Smart Grid, vol. 3, no. 3, pp. 1067–1074, Sep. 2012.

    Google Scholar 

  22. Y. M. Atwa and E. F. El-Saadany, “Probabilistic approach for optimal allocation of wind-based distributed generation in distribution systems” IET Renew. Power Gener., vol. 5, no. 1, pp. 79–88, 2011.

    Google Scholar 

  23. A. Rabiee, A. Soroudi, B. Mohammadi-Ivatloo, M. Parniani, “Corrective voltage control scheme considering demand response and stochastic wind power”, IEEE Trans. Power Syst., vol.29, no.6, pp. 2965–2973, 2014.

    Google Scholar 

  24. P. Siano, G. Mokryani, “Evaluating the benefits of optimal allocation of wind turbines for distribution network operators”, IEEE Syst. J., vol.9, no.2, pp. 629–638, 2015.

    Google Scholar 

  25. G. Mokryani, P. Siano, “Optimal wind turbines placement within a distribution market environment”, Applied Soft Computing, vol.13, no.10, pp. 4038–4046, 2013.

    Google Scholar 

  26. G. Mokryani, P. Siano, “Combined Monte Carlo simulation and OPF for wind turbines integration into distribution networks“, Electr. Power Syst. Res., vol.103, pp. 37–48, 2013.

    Google Scholar 

  27. G. Mokryani, P. Siano, A. Piccolo, “http://link.springer.com/article/10.1007/s12652-012-0163-6” “Optimal allocation of wind turbines in microgrids by using genetic algorithm”, Journal of Ambient Intelligence and Humanized Computing, vol. 4, no. 6, pp. 613–619, 2013.

  28. P. Siano, G. Mokryani, “Assessing wind turbines placement in a distribution market environment by using particle swarm optimization”, IEEE Trans. Power Syst., vol.28, no.4, pp. 3852–3864, 2013.

    Google Scholar 

  29. N. Acharya, P. Mahat, and N. Mithulananthan, “An analytical approach for DG allocation in primary distribution network,” Int. J. Elect. Power & Energy Syst., vol. 28, no. 10, pp. 669–678, 2006.

    Google Scholar 

  30. M. Tsili, S. Papthanssiou, “A review of grid code technical requirements for wind farms, IET Renew. Power Gener., vol.3, no.3, pp. 308–332, 2009.

    Google Scholar 

  31. G. Mokryani, A. Majumdar, B.C. Pal, “A probabilistic method for the operation of three-phase unbalanced active distribution networks”, IET Renew. Power Gener, vol.10, no. 7, pp. 944 – 954, 2016.

    Google Scholar 

  32. G. Mokryani, Y.F. Hu , P. Pillai , H.S. Rajamani, “Active Distribution Networks Planning with High Penetration of Wind Power”, Renewable Energy, available online at: http://dx.doi.org/10.1016/j.renene.2016.12.007.

  33. Distributed Generation and Sustainable Electrical Energy Centre. United Kingdom Generic Distribution System (UKGDS). [Online]. Available: http://www.sedg.ac.uk

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Geev Mokryani .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this chapter

Cite this chapter

Mokryani, G. (2017). Active Distribution Networks Operation Within a Distribution Market Environment. In: Azzopardi, B. (eds) Sustainable Development in Energy Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-54808-1_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-54808-1_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54806-7

  • Online ISBN: 978-3-319-54808-1

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics