A privacy-preserving method with flexible charging schedules for electric vehicles in the smart grid

摘要: The Smart Grid (SG) is an emerging modernized electrical power system with advanced monitoring and control mechanism, improved fault-tolerance. Electric Vehicles (EVs), their energy storage capability, are gaining popularity as integral part of the management in SG. To balance load-demand condition grid, EVs required to schedule a charging event before participation. However, information transmitted by EV events can reveal personal its owner. privacy-preserving methods for existing literature based on anonymous authentication where, missing considered malicious penalized. may happen due many valid reasons flexibility scheduling encourage consumer In this paper, method proposed achieve anonymity EVs. Additionally, station network setup that divides large regional area into smaller zones improve privacy, proposed. Results MATLAB simulation presented demonstrate Degree Anonymity (DoA) achieved different stages method, optimal number missed events, sub-division zones.