Power system structure and confidentiality preserving transformation of Optimal Power Flow problem

In this paper we present a method to transform optimal power flow models to enable the sharing of equivalent data sets while preserving privacy of an original data set. Importantly, the generated models preserve a power system structure with certain characteristics chosen by the developer. The needed transformations are presented on the DC Optimal Power Flow (OPF) model.