Research Article
SV2G-ET: A Secure Vehicle-to-Grid Energy Trading Scheme Using Deep Reinforcement Learning
ā | Input: State , energy prices, vehicle volume | ā | Output: EV G2V/V2G schedules | (1) | Implement the DNN parameters trained by Algorithm 1. | (2) | for Timestep t: 1 to do | (3) | Obtain past 2 days energy prices. | (4) | Network extracts the features from the data of energy prices. | (5) | Calculation of action-value (, , ) by Q network | (6) | The action is selected randomly, otherwise | (7) | Output G2V/V2G schedule. | (8) | Execute ET_Transaction_Details() for secure access | (9) | Publish ET details over EBT and stored in off-chain mode IPFS. | (10) | Generate private_key and public_key. | (11) | Distribute private_key and public_key to all stakeholders i.e., EV_Owner, utility_supplier, SG administrator. | (12) | end forreturn |
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