DIFFERENTIAL PRIVACY PROTECTION SCHEME BASED ON POWER LINE FUZZY PROCESSING STRATEGY

In order to ensure the feasibility of the optimal solution and maintain the fidelity of power grid data, a differential privacy protection scheme based on power line fuzzy processing mechanism is proposed. The power line parameters in the system were subjected to fuzzy processing. The ε-differential privacy protection was achieved to ensure that the published data could generate feasible solutions for the optimal power flow problem. The model was extended to handle time-series network data for solving. The experimental results show that the proposed method improves the accuracy of data release and significantly reduces the potential harm of enemy attacks using published data sets.