Privacy impact on generalized Nash equilibrium in peer-to-peer electricity market

We consider a peer-to-peer electricity market, where agents hold private information that they might not want to share. The problem is modeled as noncooperative communication game, which takes the form of Generalized Nash Equilibrium Problem, determine their randomized reports share with other market players, while anticipating equilibrium. In each agent decides on deterministic and random parts report, such (a) distance between part report truthful bounded (b) expectation privacy loss variable bounded. This allows change her level. characterize equilibrium prove uniqueness Variational Equilibria provide closed expression price. Numerical illustrations are presented 14-bus IEEE network.