On-line Demand Management of Low Voltage Residential Distribution Networks in Smart Grids

  • Farhad ShahniaEmail author
  • Michael T. Wishart
  • Arindam Ghosh
Part of the Studies in Computational Intelligence book series (SCI, volume 540)


A novel intelligent online demand management system is discussed in this chapter for peak load management in low voltage residential distribution networks based on the smart grid concept. The discussed system also regulates the network voltage, balances the power in three phases and coordinates the energy storage within the network. This method uses low cost controllers, with two-way communication interfaces, installed in costumers’ premises and at distribution transformers to manage the peak load while maximizing 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 a MATLAB-based simulation which includes detailed modeling of residential loads and the network.


Smart grid Demand management Peak load shaving Voltage control Power balancing Decision making 


  1. 1.
    H.L. Willis, Power Distribution Planning Reference Book (Marcel Dekker, New York, 2004)CrossRefGoogle Scholar
  2. 2.
  3. 3.
  4. 4.
    J. Taylor, A. Maitra, M. Alexander, D. Brooks, M. Duvall, Evaluation of the impact of plug-in electric vehicle loading on distribution system operations, in IEEE Power and Energy Society General Meeting (2009), pp. 1–6Google Scholar
  5. 5.
    K. Schneider, C. Gerkensmeyer, M.K. Meyer, R. Fletcher, Impact assessment of plug–in hybrid vehicles on pacific northwest distribution systems, in IEEE Power and Energy Society General Meeting (2008), pp. 1–6Google Scholar
  6. 6.
    P. Mohseni, R.G. Stevie, Electric vehicles: holy grail or fool’s gold, in IEEE Power and Energy Society General Meeting (2009), pp. 1–5Google Scholar
  7. 7.
    K. Bhattacharyya, M.L. Crow, A fuzzy based load model for power system direct load control, in IEEE 4th Conference on Control Applications (1995), pp. 27–32Google Scholar
  8. 8.
    A. Gabaldon, A. Molina, C. Roldan et al., Assessment and simulation of demand–side management potential in urban power distribution networks, in IEEE Power Tech Conference, vol. 4 (2003)Google Scholar
  9. 9.
    A. Amato, M. Calabrese, V. Di Lecce, V. Piuri, An intelligent system for decentralized load management, in IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (2006), pp. 70–74Google Scholar
  10. 10.
    B. Ramanathan, V. Vittal, A framework for evaluation of advanced direct load control with minimum disruption. IEEE Trans. Power Syst. 23(4), 1681–1688 (2008)CrossRefGoogle Scholar
  11. 11.
    H.Y. Yih, S.C. Ching, Dispatch of direct load control using dynamic programming. IEEE Trans. Power Syst. 6(3), 1056–1061 (1991)CrossRefGoogle Scholar
  12. 12.
    I. Richardson, M. Thomson, D. Infield, A. Delahunty, A modeling framework for the study of highly distributed power systems and demand side management, in IEEE International Conference on Sustainable Power Generation and Supply (SUPERGEN) (2009), pp. 1–6Google Scholar
  13. 13.
    C.Y. Chang, C.J. Wu, C.T. Chang et al., Experiences of direct load control using ripple signals in Taiwan power system, in 4th International Conference on Advances in Power System Control, Operation and Management, vol. 2 (1997), pp. 591–596Google Scholar
  14. 14.
    B.F. Hastings, Ten years of operating experience with a remote controlled water heater load management system at Detroit Edison. IEEE Trans. Power Apparatus Syst. PAS–99(4), 1437–1441 (1980)CrossRefGoogle Scholar
  15. 15.
    G. Inc. (2010, 5/9/2011), Load Management,–solutions/load-management.aspx
  16. 16.
    Y.C. Min, T.H. Yuan, K.C. Keat et al., e2Home: A lightweight smart home management system, in IEEE 3rd International Conference on Convergence and Hybrid Information Technology (ICCIT), vol. 1 (2008), pp. 82–87Google Scholar
  17. 17.
  18. 18.
    P. Richardson, D. Flynn, A. Keane, Optimal charging of electric vehicles in low-voltage distribution systems. IEEE Trans. Power Syst. 27(1), 268–279 (2012)CrossRefGoogle Scholar
  19. 19.
    M. Takagi, K. Yamaji, H. Yamamoto, Power system stabilization by charging power management of Plug-in Hybrid Electric Vehicles with LFC signal, in IEEE Vehicle Power and Propulsion Conference (VPPC) (2009) pp. 822–826Google Scholar
  20. 20.
    F.C. Schweppe, M.C. Caramanis, R.D. Tabors, R.E. Bohn, Spot pricing of electricity (Kluwer Academic Publishers, Boston, 1988)CrossRefGoogle Scholar
  21. 21.
    A.K. David, Y.Z. Li, Effect of inter-temporal factors on the real time pricing of electricity. IEEE Trans. Power Syst. 8(1), 44–52 (1993)CrossRefGoogle Scholar
  22. 22.
    K. Clement, E. Haesen, J. Driesen, Coordinated charging of multiple plug-in hybrid electric vehicles in residential distribution grids, in IEEE Power and Energy Society General Meeting (2009), pp. 1–7Google Scholar
  23. 23.
    F. Shahnia, R. Majumder, A. Ghosh, G. Ledwich, F. Zare, Voltage imbalance analysis in residential low voltage distribution networks with rooftop PVs. Electr. Power Syst. Res. 81(9), 1805–1814 (2011)CrossRefGoogle Scholar
  24. 24.
    J. Cappelle, J. Vanalme, S. Vispoel et al., Introducing small storage capacity at residential PV installations to prevent overvoltages, in IEEE International Conference on Smart Grid Communications (2011), pp. 534–539Google Scholar
  25. 25.
    F. Shahnia, A. Ghosh, G. Ledwich, F. Zare, Voltage correction in low voltage distribution networks with rooftop PVs using custom power devices, in 37th Annual Conference of IEEE Industrial Electronics Society (IECON) (2011), pp. 991–996Google Scholar
  26. 26.
    U. Habiba, S. Asghar, A survey on multi-criteria decision making approaches, in IEEE International Conference on Emerging Technologies (2009), pp. 321–325Google Scholar
  27. 27.
    J.A. Jardini, J.L.P. Brittes, L.C. Magrini et al., Power transformer temperature evaluation for overloading conditions. IEEE Trans. Power Delivery 20(1), 179–184 (2005)CrossRefGoogle Scholar
  28. 28.
  29. 29.
    F. Shahnia, M.T. Wishart, A. Ghosh, G. Ledwich, F. Zare, Smart demand side management of low-voltage distribution networks using multi-objective decision making. IET Gener. Transm. Distrib. 6(10), 968–1000 (2012)CrossRefGoogle Scholar
  30. 30.
    Australian Bureau of Statistics, Average floor area of new residential dwellings (2009), Scholar
  31. 31.
    H. Madsen, J. Holst, Estimation of continuous-time models for the heat dynamics of a building. Energy Build. 22, 67–79 (1995)CrossRefGoogle Scholar
  32. 32.
    W.H. Kersting, Distribution System Modeling and Analysis (CRC Press, Boca Raton, 2012)Google Scholar
  33. 33.

Copyright information

© Springer Science+Business Media Singapore 2014

Authors and Affiliations

  • Farhad Shahnia
    • 1
    Email author
  • Michael T. Wishart
    • 2
  • Arindam Ghosh
    • 3
  1. 1.Department of Electrical and Computer Engineering, Center of Smart Grid and Sustainable Power SystemsCurtin UniversityPerthAustralia
  2. 2.Technology Development DepartmentErgon EnergyBrisbaneAustralia
  3. 3.School of Electrical Engineering and Computer ScienceQueensland University of TechnologyBrisbaneAustralia

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