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

Science China(Technological Sciences) 2018年第5期61卷 761-773页

作者： ZHONG QianWen BUCKLEY Stephen vassallo anthony SUN YiZe School of Mechanical Engineering Donghua University Faculty of Engineering & Information Technologies University of Sydney

Besides grid-to-vehicle(G2 V) and vehicle-to-grid(V2 G) 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.

关键词： electric vehicle electric vehicle(EV) optimization energy management storage battery vehicle to grid(V2G)

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