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 problem. One of the obstacles impeding the OPF calculations is the problems associated with handling a large number of functional inequality constraints, which cause computational inefficiencies for large 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 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.