Grid-Graph Signal Processing (Grid-GSP): A Graph Signal Processing Framework for the Power Grid

The underlying theme of this paper is to explore the various facets power systems data through lens graph signal processing (GSP), laying down foundations Grid-GSP framework. provides an interpretation for spatio-temporal properties voltage phasor measurements, by showing how well-known modeling supports a generative low-pass filter model state variables, namely phasors. Using we formalize empirical observation that measurement lie in low-dimensional subspace and tie their structure generator dynamics. then successfully employed investigate problems pertaining grid sampling interpolation, network inference, detection anomalies compression. Numerical results on large synthetic mimics real-grid Texas, ACTIVSg2000, real-world measurements from ISO-New England verify efficacy applying methods electric data.