A novel demand transition procedure for outage risk reduction in distribution networks

In general the most highly developed urban distribution networks provide high levels of reliability. However, the majority urban distribution networks still face high levels of outage risk during peak-load periods, especially when the available back-up generation capacity is insufficient. In order to accurately assess the outage risk during such operational periods, four system outage risk evaluation indices are presented based on the impacts of the worst fault case in the medium voltage distribution feeder. As a consequence, in order to reduce the outage risk, a novel multiple time interval based demand transition optimization procedure is demonstrated in this paper. By considering the changes of load and backup generation output in the whole demand transition process, the continuity of restoration is guaranteed. The effectiveness of the proposed approach is validated by the case study.