Robust Distribution Network Reconfiguration


We have a tendency to propose a two-stage sturdy optimization model for the distribution network reconfiguration downside with load uncertainty. The primary-stage decision is to configure the radial distribution network and therefore the second-stage decision is to search out the optimal a/c power flow of the reconfigured network for given demand realization. We tend to solve the two-stage sturdy model by employing a column-and-constraint generation algorithm, where the master problem and subproblem are formulated as mixed-integer second-order cone programs. Computational results for sixteen, thirty three, 70, and 94-bus test cases are reported. We find that the configuration from the robust model does not compromise a lot of the facility loss under the nominal load situation compared to the configuration from the deterministic model, however it provides the reliability of the distribution system for all scenarios in the uncertainty set.

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