Surrogate constraint method for optimal power flow

This paper represents a technique based on constraints surrogate defined by the maximum entropy principle for optimal power flow (OPF) problems. One of the obstacles impeding the OPF calculations is the problem associated with handling a large number of functional inequality constraints, which cause computational inefficiencies for large power systems. To cope with this problem, this paper proposes a methodology which aggregates all inequality constraints into one surrogate constraint with a single parameter according to the maximum entropy principle. This implementation not only reduces the scale or dimensions of OPF problems, but also improves the convergence characteristics. Several numerical examples including a practical power system are provided to show the efficiency of the proposed approach.