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access icon openaccess Influence of electric vehicle access mode on the static voltage stability margin and accommodated capacity of the distribution network

This is an open access article published by the IET under the Creative Commons Attribution-NonCommercial-NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/)
Received 04/09/2018, Accepted 19/09/2018, Published 26/10/2018

The electric vehicle, if accessed in the distribution network disorderly and extensively, will influence the safe, stable, and economic operation of the network, due to the characteristics of its randomness, intermittency, and duality with source and load. Here, the power demand models of different electric vehicles were established by analysing the behaviour of electric vehicle loads attributed to different users, and the spatial-temporal distribution pattern of various electric vehicle loads in the distribution network was predicted with the Monte–Carlo method. Based on this regular pattern, an evaluation method for the adaptability of the distribution network to electric vehicles was proposed. Finally, the influence of electric vehicle loads under different access modes on the static voltage stability margin was tested with the IEEE33 node distribution network.

Inspec keywords: electric vehicles; power system stability; distribution networks; Monte Carlo methods

Other keywords: electric vehicle; spatial-temporal distribution pattern; IEEE33 node distribution network; Monte Carlo method; electric vehicle access mode

Subjects: Monte Carlo methods; Power system management, operation and economics; Distribution networks; Transportation

References

    1. 1)
      • 7. Chen, W., Yan, H., Pei, X.: ‘Probabilistic load flow calculation of distribution system containing distributed generation and electric vehicle charging load based on SRSM [J]’, Power Syst. Clean Energy, 2016, 32, (6), pp. 123–130.
    2. 2)
      • 2. Guo, P., Liu, P.: ‘Research on development of electric vehicles in China[C]’. Proc. of 2010 Int. Conf. on Future Information Technology and Management Engineering.Changzhou, China, 2010, pp. 94–96.
    3. 3)
      • 8. Guo, X., Zhang, L., Lai, Y.: ‘Calculation of electric vehicles charging load and necessary amount of charging facilities under different modes[J]’, Power Syst. Clean Energy, 2013, 29, (11), pp. 76–81.
    4. 4)
      • 9. Qian, K., Zhou, C., Allan, M., et al: ‘Modeling of load demand due to EV battery charging in distribution systems[J]’, IEEE Trans. Power Syst., 2011, 26, (2), pp. 802–810.
    5. 5)
      • 5. Zhou, X., Xu, X., Ma, Y., et al: ‘Consideration about the concept of distribution system voltage stability[J]’, J. Tianjin Univ. Technol., 2006, 22, (2), pp. 27–30.
    6. 6)
      • 6. Dou, X.: ‘Study on forecasting model of electric vehicle charging load and Its impacts on the urban load [J]’, Power Syst. Clean Energy, 2016, 32, (2), pp. 103–108.
    7. 7)
      • 3. Wang, X., Shao, C., Wang, X., et al: ‘Survey of electric vehicle charging load and dispatch control strategies[J]’, Proc. CSEE, 2013, 33, (1), pp. 1–10.
    8. 8)
      • 10. Zheng, Y., Sun, J., Zhang, C., et al: ‘Study of voltage stability margin for the distribution network with electric vehicle integration[J]’, Trans. China Electrotech. Soc., 2014, 29, (8), pp. 20–26.
    9. 9)
      • 4. Tian, L., Shi, S., Jia, Z.: ‘A statistical model for charging power demand of electric vehicles[J]’, Power Syst. Technol., 2010, 34, (11), pp. 126–130.
    10. 10)
      • 11. Industrial and Economic Research Department of the development research centre of the State Council: ‘Report on the development of China's auto industry (2008) [R]’. Social Science Literature Press, Beijing, 2008.
    11. 11)
      • 1. Doucette, R.T., McCulloch, M.D.: ‘Modelling the prospects of plug-in hybrid electric vehicles to reduce CO2 emissions[J]’, Appl. Energy, 2011, 88, (7), pp. 2315–2323.
    12. 12)
      • 12. Wu, X., Liu, J., Bi, P.: ‘Research on voltage stability of distribution networks[J]’, Power Syst. Technol., 2006, 30, (24), pp. 31–35.
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