Dynamic optimal reactive power flow

Abstract

An efficient method for minimization of energy loss over time is presented. The proposed method uses different loading conditions during a given future time interval instead of one single snapshot of the network. The method finds the optimal conditions during the given interval. The given interval is divided into several shorter periods. By increasing the number of periods or load profiles, the dimension of the problem will rise substantially. This problem is handled by using the generalized Bender decomposition (GBD) technique. With this technique, the loading condition for each period are solved in a separate NLP subproblem. The results of the NLP subproblems are coordinated in a master problem. As shown in simulation results, the proposed method not only improves the voltage profile, but it also decreases the total energy loss over the given interval.