Title: Online Calibration of Phasor Measurement Unit Using Density-Based Spatial Clustering,
Abstract: Data quality of Phasor Measurement Unit (PMU) is receiving increasing
attention as it has been identified as one of the limiting factors that affect
many wide-area measurement system (WAMS) based applications. In general,
existing PMU calibration methods include offline testing and model based
approaches. However, in practice, the effectiveness of both is limited due to
the very strong assumptions employed. This paper presents a novel framework for
online bias error detection and calibration of PMU measurement using
density-based spatial clustering of applications with noise (DBSCAN) based on
much relaxed assumptions. With a new problem formulation, the proposed data
mining based methodology is applicable across a wide spectrum of practical
conditions and one side-product of it is more accurate transmission line
parameters for EMS database and protective relay settings. Case studies
demonstrate the effectiveness of the proposed approach.