Name
Abstract | ||
|---|---|---|
While the graph theoretic properties pertaining to the electrical grid are well known, the field of graph signal processing offers new insights and understanding about the measurements from the electrical grid. In this paper we establish that voltage measurements are the result of a low-rank excitation to a low-pass graph filter. Then, we illustrate the identification of community structure in the electrical grid since the excitations are low-rank in nature. Proposed algorithm for community detection is tested on a synthetic 2000 bus test case in the state of Texas with promising results. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/DSW.2019.8755588 | 2019 IEEE Data Science Workshop (DSW) |
Keywords | DocType | ISBN |
Graph signal processing,voltage phasor PMU data,community detection | Conference | 978-1-7281-0709-7 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Raksha Ramakrishna | 1 | 6 | 3.65 |
| Anna Scaglione | 2 | 29 | 5.86 |