Stochastic Distribution Network Reconfiguration under Load Uncertainty
The study investigated how to reconfigure power distribution networks when demand is uncertain using a two-stage stochastic model. Reconfiguring the network generally reduced expected losses, but explicitly modeling demand uncertainty provided little extra benefit when scenarios were simply scaled up uniformly. This suggests that the main advantage of reconfiguration comes from changing the initial topology rather than accounting for simple load scaling.