Surrogate constraint method for optimal power flow

This paper represents a technique based an constraints surrogate defined by the Maximum Entropy Principle For optimal power flow problem. One of the obstacles impeding the OFF 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 OFF 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.