Dynamic thermal state forecasting of distribution network components: For enhanced active distribution network capacity

This paper proposes and investigates a framework for day-ahead hour-by-hour thermal state forecasting of distribution network components. The method takes into consideration the uncertainty brought about by distributed generation and load demand forecasting. Potential risks are evaluated so that contingency measures can be planned with a clear knowledge of tolerance to temporary overloading scenarios.