Early Warning of Fault in Active Distribution Networks Based on Dynamic Power Flow Motifs

Abstract

Due to the energy transition process, the increasing adoption of sustainable energy has become the key characteristics of modern power distribution systems. The high level of penetration of sustainable energy-based distributed generators significantly challenged the power flow management in distribution networks. In this paper, we apply complex network theories to provide a new perspective on the solution to the early warning of faults in distribution networks with sustainable energy. Especially, a concept of dynamic power flow motifs (DPFM) is proposed to serve as an effective tool to portray the operating condition, from the mesoscopic perspective, of a distribution network that accommodates a great number of distributed generators. To simulate the distribution network resilience against an extreme event such as an earthquake, disrupted lines are selected based on electrical betweenness to demonstrate the relations of DPFM and load loss in purpose of realize the early warning of faults in distribution networks. We will conduct the case study to explore the dynamic process during the massive lines disruption and confirm the effectiveness of the application of DPFM in distribution network.