Vehicle to grid (V2G) network is a crucial part of smart grid. An electric vehicle (EV) in a V2G network uses electricity instead of gasoline, and this benefits the environment and helps mitigate the energy crisis. By using its battery capacity, the vehicle can serve temporarily as a distributed energy storage system to mitigate peak load of the power grid. However, the two-way communication and power flows not only facilitate the functionality of V2G network, but they also facilitate attackers as well. Privacy is now a big obstacle in the way of the development of V2G networks. The privacy preservation problem in V2G networks could be more severe than in other parts of Smart Grid due to its e-mobility. In this paper, we will analyze and summarize privacy preservation approaches which achieve various privacy preservation goals. We will survey research works, based on existing privacy preservation techniques, which address various privacy preservation problems in V2G networks, including anonymous authentication, location privacy, identification privacy, concealed data aggregation, privacy-preserving billing and payment, and privacy-preserving data publication. These techniques include homomorphic encryption, blind signature, group signature, ring signature, third party anonymity, and anonymity networks. We will summarize solved problems and issues of these techniques, and introduce possible solutions for unsolved problems.
With the development of battery vehicles, vehicle-to-grid (V2G) networks are becoming more and more important in smart grid. Although battery vehicles are environmentally friendly and flexible to use two-way communication and two-way electricity flow, they also raise privacy-preservation challenges, such as location and movement privacy. On the one hand, utility companies have to monitor the grid and analyze user data to control the power production, distribution, scheduling, and billing process, while typical users need to access their data later online. On the other hand, users are not willing to provide their personal data because they do not trust the system security of the utility companies where their data stored, and it may potentially expose their privacy. Therefore, in this paper, we study data management of V2G networks in smart grid with privacy-preservation to benefit both the customers and the utility companies. Both data aggregation and data publication of V2G networks are protected in the proposed architecture. To check its security, we analyze this architecture in several typical V2G networks attacks. We conduct several experiments to show that the proposed architecture is effective and efficient, and it can enhance user privacy protection while providing enough information for utility companies to analyze and monitor the grid.
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