We consider a distributed optimal power flow formulated as an optimization problem that maximizes nondifferentiable concave function. Solving such by the existing algorithms can lead to data privacy issues because solution information exchanged within be utilized adversary infer data. To preserve privacy, in this paper we propose differentially private projected subgradient (DP-PS) algorithm in...