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Energy cost minimization through optimization of EV, home and workplace battery storage

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Abstract

Besides grid-to-vehicle (G2V) and vehicle-to-grid (V2G) functions, the battery of an electric vehicle (EV) also has the specific feature of mobility. This means that EVs not only have the potential to utilize the storage of cheap electricity for use in high energy price periods, but can also transfer energy from one place to another place. Based on these special features of an EV battery, a new EV energy scheduling method has been developed and is described in this article. The approach is aimed at optimizing the utilization EV energy for EVs that are regularly used in multiple places. The objective is to minimize electricity costs from multiple meter points. This work applies real data in order to analyze the effectiveness of the method. The results show that by applying the control strategy presented in this paper at locations where the EVs are parked, the electricity cost can be reduced without shifting the demand and lowering customer’s satisfaction. The effects of PV size and number of EVs on our model are also analyzed in this paper. This model has the potential to be used by energy system designers as a new perspective to determine optimal sizes of generators or storage devices in energy systems.

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Authors and Affiliations

  1. School of Mechanical Engineering, Donghua University, Shanghai, 201620, China

    QianWen Zhong & YiZe Sun

  2. Faculty of Engineering & Information Technologies, University of Sydney, Sydney, NSW, 2006, Australia

    Stephen Buckley & Anthony Vassallo

Authors
  1. QianWen Zhong
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  2. Stephen Buckley
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  3. Anthony Vassallo
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  4. YiZe Sun
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Corresponding authors

Correspondence to Anthony Vassallo or YiZe Sun.

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Zhong, Q., Buckley, S., Vassallo, A. et al. Energy cost minimization through optimization of EV, home and workplace battery storage. Sci. China Technol. Sci. 61, 761–773 (2018). https://doi.org/10.1007/s11431-017-9188-y

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  • DOI: https://doi.org/10.1007/s11431-017-9188-y

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