A Novel Approach for Phase Identification in Smart Grids Using Graph Theory and Principal Component Analysis

摘要

Consumers with low demand, like households, are generally suppliedsingle-phase power by connecting their service mains to one of the phases of adistribution transformer. The distribution companies face the problem ofkeeping a record of consumer connectivity to a phase due to uninformed changesthat happen. The exact phase connectivity information is important for theefficient operation and control of distribution system. We propose a new datadriven approach to the problem based on Principal Component Analysis (PCA) andits Graph Theoretic interpretations, using energy measurements in equally timedshort intervals, generated from smart meters. We propose an algorithm forinferring phase connectivity from noisy measurements. The algorithm isdemonstrated using simulated data for phase connectivities in distributionnetworks.