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