|
Abstract
|
Portable battery devices (PBD) can enhance the resilience of distribution networks against crises by providing
realistic backup resources and enabling substantial geographical flexibility across the network. In this study, a
two-stage preventive planning approach is proposed to optimize PBD deployment under both normal and
emergency conditions. In the first stage, a mixed-integer second-order conic programming model with binary
recourse options is formulated to determine the preselected locations of PBD, considering various risks under
normal operating conditions. In the second stage, a robust two-stage optimization is applied to redirect the
deployed PBD, creating dynamic microgrids capable of handling operational failures with the assistance of a
progressive hedging algorithm. Finally, a hybrid allocation strategy is introduced to satisfy requirements related
to self-sufficiency, operational conditions, and grid topology. The effectiveness of the proposed two-stage allo-
cation method is demonstrated on multiple modified networks. In all abnormal scenarios, the lost load with and
without PBD is compared: the average lost load without PBD is 497 kWh, with stationary PBD it decreases to 322
kWh, and when mobile PBD is used, it is further reduced to 275 kWh.
|