  Network reconfiguration (NR) has attracted much attention due to its ability
to convert conventional distribution networks (DNs) into self-healing grids.
This paper proposes a new strategy for real-time voltage regulation (VR) in a
reconfigurable DN, whereby optimal feedforward control of synchronous and
inverter-based distributed generators (DGs) is achieved in coordination with
the operation of feeder line switches (SWs). This enables preemptive
compensation of upcoming deviations in DN voltages caused by NR-aided load
restoration. A robust optimization problem is formulated using a dynamic
analytical model of NR to design the feedforward voltage controllers (FVCs)
that minimize voltage deviations with respect to the H infinity norm. Errors in
the estimates of DG parameters and load demands are reflected in the design of
optimal FVCs through polytopic uncertainty modeling, further improving the
robustness of the proposed VR strategy. Small-signal analysis and case studies
are conducted, demonstrating the effectiveness of the optimal robust FVCs in
improving real-time VR when NR is activated for load restoration. The
performances of the proposed FVCs are also verified under various operating
conditions of a reconfigurable DN, characterized principally by SW operations,
network parameter errors, and communication time delays.
