Event-triggered privacy-preserving distributed charging scheduling for plug-in electric vehicle with resilience against Denial-of-Service attack

The distributed price-based charging scheduling of plug-in electric vehicles (PEVs) under Denial-of-Service attack (DoS) attack is considered in this study by weighing the total generation cost against the local costs of overloading and battery deterioration. With the use of individual electricity price exchanges among neighboring PEVs, the distributed electricity price update algorithm is designed to arrive at a common electricity price that is utilized to determine each PEV's charging strategy. To protect the privacy of each PEV from being revealed to curious parties or external eavesdroppers, the Paillier cryptosystem-based confidential communication protocol was developed to encrypt the transmitted information. Furthermore, a novel event-triggered mechanism is developed to adjust the frequency of communication and cryptosystem execution in order to reduce the communication and computation consumption caused by the confidential communication protocol and shield the charging scheduling from the effects of DoS attacks. The convergence and privacy preservation of algorithm are theoretically examined, and simulation results verify the effectiveness.