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Multistage time-variant electric vehicle load modelling for capturing accurate electric vehicle behaviour and electric vehicle impact on electricity distribution grids

Journal Article


Abstract


  • Accurate electric vehicle (EV) load modelling is a daunting task because the proportion and characteristics of

    these extra electrical loads in the grids are continuously changing. In many recent EV studies, EV load is assumed to

    be a constant power load to analyse the effect of EV charging on electric network. However, such an assumption

    would not be effective in real-time application and can give misleading results. This study proposes a multistage timevariant

    EV load modelling technique based on the characteristics of EV load demand due to EV battery charging. To

    capture the transitions between different stages of battery charging, the EV loads are modelled with a multistage

    scheme and implemented ZIP model. A comparative study of energy losses and voltage profile is carried out on the

    IEEE 69-bus test system for the use of a traditional constant load model, conventional ZIP load model and the

    proposed multistage time-variant EV load model. Results show that the load models can significantly affect the energy

    losses and terminal voltages, and provide misrepresentation if EV load is not accurately modelled. Therefore, for

    proper analysis of EV loads during unidirectional charging, it is essential to have accurate models for predicting true

    EV behaviour.

Authors


  •   Haidar, Ahmed M.A.. (external author)
  •   Muttaqi, Kashem
  •   Haque, Mohammed H. (external author)

Publication Date


  • 2015

Citation


  • A. M. A. Haidar, K. M. Muttaqi & M. H. Haque, "Multistage time-variant electric vehicle load modelling for capturing accurate electric vehicle behaviour and electric vehicle impact on electricity distribution grids," IET Generation, Transmission and Distribution, vol. 9, (16) pp. 2705-2716, 2015.

Scopus Eid


  • 2-s2.0-84949256081

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/5616

Has Global Citation Frequency


Number Of Pages


  • 11

Start Page


  • 2705

End Page


  • 2716

Volume


  • 9

Issue


  • 16

Place Of Publication


  • United Kingdom

Abstract


  • Accurate electric vehicle (EV) load modelling is a daunting task because the proportion and characteristics of

    these extra electrical loads in the grids are continuously changing. In many recent EV studies, EV load is assumed to

    be a constant power load to analyse the effect of EV charging on electric network. However, such an assumption

    would not be effective in real-time application and can give misleading results. This study proposes a multistage timevariant

    EV load modelling technique based on the characteristics of EV load demand due to EV battery charging. To

    capture the transitions between different stages of battery charging, the EV loads are modelled with a multistage

    scheme and implemented ZIP model. A comparative study of energy losses and voltage profile is carried out on the

    IEEE 69-bus test system for the use of a traditional constant load model, conventional ZIP load model and the

    proposed multistage time-variant EV load model. Results show that the load models can significantly affect the energy

    losses and terminal voltages, and provide misrepresentation if EV load is not accurately modelled. Therefore, for

    proper analysis of EV loads during unidirectional charging, it is essential to have accurate models for predicting true

    EV behaviour.

Authors


  •   Haidar, Ahmed M.A.. (external author)
  •   Muttaqi, Kashem
  •   Haque, Mohammed H. (external author)

Publication Date


  • 2015

Citation


  • A. M. A. Haidar, K. M. Muttaqi & M. H. Haque, "Multistage time-variant electric vehicle load modelling for capturing accurate electric vehicle behaviour and electric vehicle impact on electricity distribution grids," IET Generation, Transmission and Distribution, vol. 9, (16) pp. 2705-2716, 2015.

Scopus Eid


  • 2-s2.0-84949256081

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/5616

Has Global Citation Frequency


Number Of Pages


  • 11

Start Page


  • 2705

End Page


  • 2716

Volume


  • 9

Issue


  • 16

Place Of Publication


  • United Kingdom