Dynamic Reconfiguration of Electrical Power Distribution Systems with Distributed Generation and Storage

In this paper we presentionliitear model predictive control strategy for dynamic reconfiguration of electrical power distribution systems with distributed generation and storage. Even though power distribution systems are physically built as interconnected meshed networks, as a rule, they operate in a radial topology. The network topology can be modified by changing status of the line switches (opened/close(I). The goal of the proposed control strategy is to find the optimal radial network topology mei the optimal power references for the controllable generators and energy storage units that will minimize cumulative active power losses while satisfying operating constraints. By utilizing recent results on convex relaxation of the power flow constraints, the proposed dynamic reconfiguration algorithm can be formulated as a mixed integer second order cone program. Furthermore, if polyhedral approximations of second order CC/RCS are used tfltal the underlying optimization problem can he solved as a nixed-integer lir tear program Performance of the algorithm is illustrated on a small simulation case study based on actual meteorological and corisunwtion data.