Smart demand side management of low-voltage distribution networks using multi-objective decision making

Smart demand side management of low-voltage distribution networks using multi-objective decision making

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A novel intelligent online demand side management system is proposed for peak load management in low-voltage distribution networks. This method uses low-cost controllers with low-bandwidth two-way communication installed in custumers’ premises and at distribution transformers to manage the peak load while maximising customer satisfaction. A multi-objective decision making process is proposed to select the load(s) to be delayed or controlled. The efficacy of the proposed control system is verified by simulation of three different feeder types.


    1. 1)
      • H.L. Willis . (2004) Power distribution planning reference book.
    2. 2)
      • Energex Annual Report 2008/2009. Available:
    3. 3)
      • Ergon Energy Annual Stakeholder Report 2008/2009. Available:
    4. 4)
      • Taylor, J., Maitra, A., Alexander, M.: `Evaluation of the impact of plug-in electric vehicle loading on distribution system operations', Proc. IEEE Power and Energy Society General Meeting, July 2009, p. 1–6.
    5. 5)
      • Schneider, K.: `Impact assessment of plug-in hybrid vehicles on pacific northwest distribution systems', Proc. IEEE Power and Energy Society General Meeting, July 2008, p. 1–6.
    6. 6)
      • Mohseni, P., Stevie, R.G.: `Electric vehicles: Holy grail or Fool's gold', Proc. IEEE Power and Energy Society General Meeting, July 2009, p. 1–5.
    7. 7)
      • Bhattacharyya, K., Crow, M.L.: `A fuzzy based load model for power system direct load control', Proc. IEEE Fourth Conf. Control Applications, September 1995, p. 27–32.
    8. 8)
      • Gabaldon, A., Molina, A., Roldan, C.: `Assessment and simulation of demand-side management potential in urban power distribution networks', Proc. IEEE Power Tech. Conf., June 2003, 4, p. 1–5.
    9. 9)
      • Amato, A., Calabrese, M., Di Lecce, V., Piuri, V.: `An intelligent system for decentralized load management', Proc. IEEE Int. Conf. Computational Intelligence for Measurement Systems and Applications, July 2006, p. 70–74.
    10. 10)
    11. 11)
    12. 12)
      • Richardson, I., Thomson, M., Infield, D., Delahunty, A.: `A modelling framework for the study of highly distributed power systems and demand side management', Proc. IEEE Int. Conf. Sustainable Power Generation and Supply (SUPERGEN '09), April 2009, p. 1–6.
    13. 13)
      • Chang, C.Y., Wu, C.J., Chang, C.T.: `Experiences of direct load control using ripple signals in Taiwan Power System', Fourth Int. Conf. Advances in Power System Control, Operation and Management, November 1997, 2, p. 591–596.
    14. 14)
    15. 15)
      • G. Inc. (2010, 5/9/2011). Load Management. Available:
    16. 16)
      • Yeoh, C.-M., Tan, H.-Y., Kok, C.-K.: `e2Home: A lightweight smart home management system', Proc. IEEE Third Int. Conf. Convergence and Hybrid Information Technology (ICCIT'08), November 2008, 1, p. 82–87.
    17. 17)
      • Lochiel Park,
    18. 18)
    19. 19)
      • Takagi, M., Yamaji, K., Yamamoto, H.: `Power system stabilization by charging power management of plug-in hybrid electric vehicles with LFC signal', IEEE Vehicle Power and Propulsion Conf. (VPPC ’09), 2009, p. 822–826.
    20. 20)
      • F. Schweppe , M. Caramanis , R. Tabors , R. Bohn . (1988) Spot pricing of electricity.
    21. 21)
    22. 22)
      • Clement, K., Haesen, E., Driesen, J.: `Coordinated charging of multiple plug-in hybrid electric vehicles in residential distribution grids', Proc. IEEE Power and Energy Society General Meeting, March 2009, p. 1–7.
    23. 23)
      • Habiba, U-e, Asghar, S.: `A survey on multi-criteria decision making approaches', IEEE Int. Conf. Emerging Technologies, October 2009, p. 321–325.
    24. 24)
      • Australian Bureau of Statistics: Average Floor Area of New Residential Dwellings, 2009 Available:[email protected]/featurearticlesbyCatalogue/8BB3F6B866BC35CECA2578A000153026?OpenDocument.
    25. 25)
    26. 26)
      • Mackintosh, T., Tataria, H., Inguva, S.: `Energy storage system for GM Volt-lifetime benefits', Proc. IEEE Vehicle Power and Propulsion Conf., September 2009, p. 321–323.
    27. 27)
    28. 28)
      • H.L. Willis . (1996) Spatial electric load forecasting.
    29. 29)
    30. 30)
    31. 31)
    32. 32)
      • Karnouskos, S., Holanda, T.N.D.: `Simulation of a smart grid city with software agents', Third UKSim European Symp. Computer Modeling and Simulation, 2009.
    33. 33)
      • D.J.C. MacKay . (2009) Sustainable energy-without the hot air.

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