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To settle a large-scale integration of renewable distributed generations(DGs), it requires to assess the maximal DG hosting capacity of activedistribution networks (ADNs). For fully exploiting the ability of ADNs toaccommodate DG, this paper proposes a robust comprehensive DG capacityassessment method considering three-phase power flow modelling and activenetwork management (ANM) techniques. The two-stage adjustable robustoptimization is employed to tackle the uncertainties of load demands and DGoutputs. With our method, system planners can obtain the maximum penetrationlevel of DGs with their optimal sizing and sitting decisions. Meanwhile, therobust optimal ANM schemes can be generated for each operation time period,including network reconfiguration, on-load-tap-changers regulation, andreactive power compensation. In addition, a three-step optimization algorithmis proposed to enhance the accuracy of DG capacity assessment results. Theoptimality and robustness of our method are validated via numerical tests on anunbalanced IEEE 33-bus distribution system.

Robust Capacity Assessment of Distributed Generation in Unbalanced Distribution Networks Incorporating ANM Techniques