Privacy Attack-Resilient Peer-to-Peer Energy Trading Over Directed Networks
Haoran Liu, Shunbo Lei, Junjie Hu, Yuan Luo · IEEE Transactions on Smart Grid · 2025
Peer-to-peer (P2P) energy trading in directed networks often overlooks power losses and privacy risks, leading to inefficiencies and security concerns. To address these challenges, we first model the energy trading problem with power losses as a Generalized Nash Game (GNG) and establish the existence and uniqueness of its equilibrium using variational inequality. Then, we propose a distributed algorithm integrating differential privacy to solve the GNG efficiently. Simulation results validate the effectiveness of the proposed approach in preserving privacy, optimizing resource allocation, and ensuring scalability in directed communication networks.