SV2G-ET: A Secure Vehicle-to-Grid Energy Trading Scheme Using Deep Reinforcement Learning

In recent years, advancements in electric vehicle (EV) technology and rising petrol prices have increased the demand for EVs also made them important Smart Grid (SG) economy. During high energy demand, Vehicle to (V2G) comprises a notable feature that returns stored back grid. However, due dynamic nature of availability, determining best charging discharging strategy is quite difficult. The existing approaches need model predict uncertainty optimize scheduling problem. Further, other issues like security, scalability, real-time data accessibility trading (ET) at low cost exist. Though many solutions exist, they are not adequate handle aforementioned issues. This paper proposes Secure V2G-Energy Trading (SV2G-ET) scheme using deep Reinforcement Learning (RL) Ethereum Blockchain Technology (EBT). proposed SV2G-ET employs Q-network charging/discharging. uses InterPlanetary File System (IPFS) smart contract (SC) secure access EV’s ET real time. experimental results prove efficacy leads improved saving cost, storage EV owner’s profit.