Stochastic Modeling of Plug-In Electric Vehicles’ Parking Lot in Smart Multi-Energy System

  • Maziar Yazdani Damavandi
  • M. P. Moghaddam
  • M. -R. Haghifam
  • Miadreza Shafie-khah
  • João P. S. Catalão
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 423)


In this paper the role of Plug-In Electric Vehicles’ (PIEVs) parking lot in operating Smart Multi-Energy System (SMES) has been investigated. SMES in this paper has been modeled as a multi-input multi-output model which consists of some storage and energy converters. In the proposed framework, the PIEV’s parking lot behaves like an energy storage with selling energy price less than upstream network price and as manageable load when its purchase price is more than upstream network. On the other hand, traffic pattern of PIEVs in parking lot has an uncertain behavior and is modeled based on stochastic approach. In the stochastic model, two branches of scenarios for total state of charge and total capacity of parking lot in each hour are produced. The considered case studies show the effectiveness of the proposed model and the impact of PIEVs’ parking lot in operation of SMES elements.


Energy hub model PIEVs’ parking lot stochastic modeling 


  1. 1.
    Alanne, K., Saari, A.: Distributed energy generation and sustainable development. Renewable and Sustainable Energy Reviews 10, 539–558 (2006)CrossRefGoogle Scholar
  2. 2.
    Galus, M.D., et al.: Integrating power systems, transport systems and vehicle technology for electric mobility impact assessment and efficient control. IEEE Trans. Smart Grid 3, 934–949 (2012)CrossRefGoogle Scholar
  3. 3.
    Arnold, M., et al.: Distributed predictive control for energy hub coordination in coupled electricity and gas networks. In: Intelligent Infrastructures, pp. 235–273. Springer Netherlands (2010)Google Scholar
  4. 4.
    Chicco, G., Mancarella, P.: Matrix modelling of small-scale trigeneration systems and application to operational optimization. Energy 34, 261–273 (2009)CrossRefGoogle Scholar
  5. 5.
    Hajimiragha, A., Cañizares, C., Fowler, M., Geidl, M., Andersson, G.: Optimal energy flow of integrated energy systems with hydrogen economy considerations. In: Proc. IREP Symposium Bulk Power System Dynamics and Control (2007), doi:10.1109/IREP.2007.4410517Google Scholar
  6. 6.
    Bozchalui, M.C., Hashmi, S.A., Hassen, H., Cañizares, C.A., Bhattacharya, K.: Optimal operation of residential energy hubs in smart grids. IEEE Trans. Smart Grid 3, 1755–1766 (2012)CrossRefGoogle Scholar
  7. 7.
    Mancarella, P., Chicco, G.: Real-time demand response from energy shifting in distributed multi-generation. IEEE Trans. Smart Grid (2013) (in press)Google Scholar
  8. 8.
    Su, W., Chow, M.-Y.: Performance evaluation of an EDA-based large-scale plug-in hybrid electric vehicle charging algorithm. IEEE Trans. Smart Grid. Special Issues, Transportation Electrification and Vehicle-to-Grid Applications (2011)Google Scholar
  9. 9.
    Galus, M.D., Andersson, G.: Power system considerations of plug-in hybrid electric vehicles based on a multi energy carrier model. In: IEEE PES General Meeting, pp. 1–8 (2009)Google Scholar
  10. 10.
    Galus, M.D., Koch, S., Andersson, G.: Demand management of grid connected plug-in hybrid electric vehicles (PHEV). In: Energy 2030 Conference, Atalanta, pp. 1–8 (2008)Google Scholar
  11. 11.
    Galus, M.D., Koch, S., Andersson, G.: Provision of load frequency control by PHEVs, controllable loads, and a cogeneration unit. IEEE Trans. Industrial Electronics 58, 4568–4582 (2011)CrossRefGoogle Scholar
  12. 12.
    van Haaren, R.: Assessment of electric cars’ range requirements and usage patterns based on driving behavior recorded in the National Household Travel Survey of 2009. Columbia University, Fu Foundation School of Engineering and Applied Science, New York (2011)Google Scholar
  13. 13.
    Nemry, F., Leduc, G., Muñoz, A.: Plug-in hybrid and battery-electric vehicles: state of the research and development and comparative analysis of energy and cost efficiency. European Communities (2009)Google Scholar
  14. 14.
    Meliopoulos, S.: Power system level impacts of plug-in hybrid vehicles. Power Systems Engineering Research Center (PSERC) (2009) Google Scholar
  15. 15.
    Domínguez-García, A.D., Heydt, G.T., Suryanarayanan, S.: Implications of the smart grid initiative on distribution engineering. PSERC Document 11-05 (2011)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2014

Authors and Affiliations

  • Maziar Yazdani Damavandi
    • 1
    • 2
  • M. P. Moghaddam
    • 1
  • M. -R. Haghifam
    • 1
  • Miadreza Shafie-khah
    • 2
  • João P. S. Catalão
    • 2
    • 3
    • 4
  1. 1.Tarbiat Modares University (TMU)TehranIran
  2. 2.University of Beira InteriorCovilhãPortugal
  3. 3.INESC-IDLisbonPortugal
  4. 4.ISTUniv. LisbonPortugal

Personalised recommendations