A Robust Dynamic Islanding Restoration for active distribution network considering load control

A two stage robust optimization model with min-max-min structure was established to minimize the cutting load of active distribution network under the uncertainty of renewable energy and load in this paper. The operating constraints of energy storage, demand-side load and island power balance are considered in the model, and the uncertain adjustment parameters are introduced to flexibly adjust the conservativeness of the restoration scheme. In terms of solving method, the three-layer robust optimization model is converted to a relaxed main problem and a max-min sub-problem using the Column Constraint Generation (CCG)method. By adding feasible cuts and optimal cuts iteratively into the relaxed main problem, the optimal solution of the original problem is obtained. Finally, the results of a typical IEEE33 system show that the proposed robust two-stage restoration method has obvious advantages over the existing deterministic fault restoration method in anti-system uncertainty.