This article has been accepted for publication in a future issue of this conference proceedings, but has not been fully edited. Content may change prior to final publication.
Electric vehicles (EVs) play a key role in transport electrification and decarbonizing the society. EVs are becoming popular due to the advancement of drivetrain and battery technologies, with the support from plummeting costs. However, many countries are facing with challenges to accommodate large-scale adoption of electric vehicles due to the great amount of electricity required from the grid for charging. Current research focuses on developing incentives and tariff structure to encourage EV drivers to charge and discharge at appropriate times. However, relying on driver's behavior can be a risky decision for network operators. A regional high electricity demand at a short instance can cause severe technical challenges for the distribution network, including thermal and voltage limit violations. This paper presents and compares the EV development for the UK and China. A research agenda is proposed to consider how largescale energy storage would benefit the distribution network for rapid charging of electric vehicles.
With the development of distributed trading mechanism, using Peer-to-Peer (P2P) to realize fair and developed transactions becomes a reality. P2P method is used to schedule the charging behavior of electric vehicles, which can not only achieve the function of peak clipping and valley filling, but also alleviate the influence of three-phase imbalance. This paper proposes an energy transaction model which consists of two parts. The first part is a new auction in which participants can look at historical data to see how competitive they are. The second part is the interaction between the charging station operator and the participants who are not matched in the first part. Case study shows the effectiveness of this distributed trading mechanism.
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