Robust Optimal Dispatch of AC/DC Hybrid Distribution Network With PET

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For the AC/DC hybrid distribution network with power electronic transformer (PET), a two-stage robust optimization model is established to minimize the operation cost under the uncertainties of renewable energy and load in this paper. The first-stage of the model considers the control constraints and coordinated control of each controllable unit to obtain the scheduling cost of each unit; the second-stage of the model considers the deviations of predicted values and actual values in the dispatching operation, introducing the penalty of the abandoned wind, discarding light and losing load. Introducing the uncertainty adjustment parameters to adjust the conservativeness of the robust optimization solution. Using the column-and-constraint generation (C&CG) algorithm to solve two-stage robust optimization problem, decomposing the original problem into a master-problem and a sub-problem with mixed integer linear features. Finally, through the analysis of the improved IEEE 33-bus system, the simulation results verify that the proposed scheduling strategy can effectively cope with the uncertainty of renewable energy, and improve the capacity of distributed power supply.