Distribution Islanding Detection Using Status and Topology of PMU Phase Signals

In this paper, we presented a novel islanding detection-based grid topology analysis method and construction models for multiple sources interconnected radial distribution feeders, with utilizing topology-based graph algorithms and recognize and detect the topology status. The model identifies specified nodes and edges with power flow directions in which the grid topology is not available and constantly changing due to intermittent sources on the system. The process is utilized by micro-phasor measurement units of phase signals to reconstruct grid topology with tracking timely changing structures of the measurement matrix with distribution energy source interconnections. Power flows on the topology combined with the graph analysis to understand the grid status by change event observations and the status recognition algorithm. The key feature of the suggested method is to improving grid recognition by solving and identifying network configuration without pre-defined topology and connection information. The identification algorithm is proposed by suggested the topology matrix with structures that interlocking with the directed graph and incident matrix that utilizes the topology tracking and balancing calculation. Proposed scenario results verify the performance of recognition accuracy of the topology construction in compliance with status changes and islanding in the standard test system.