TY - GEN
T1 - On Modeling Voltage Phasor Measurements as Graph Signals
AU - Ramakrishna, Raksha
AU - Scaglione, Anna
N1 - Funding Information:
This research was supported in part by Cybersecurity for Energy Delivery Systems program, of the U.S. Department of Energy, under contract DOE0000780. Any opinions, and findings expressed in this material are those of the authors and do not necessarily reflect those of the sponsors.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - 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.
AB - 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.
KW - Graph signal processing
KW - community detection
KW - voltage phasor PMU data
UR - http://www.scopus.com/inward/record.url?scp=85069488122&partnerID=8YFLogxK
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U2 - 10.1109/DSW.2019.8755588
DO - 10.1109/DSW.2019.8755588
M3 - Conference contribution
AN - SCOPUS:85069488122
T3 - 2019 IEEE Data Science Workshop, DSW 2019 - Proceedings
SP - 275
EP - 279
BT - 2019 IEEE Data Science Workshop, DSW 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE Data Science Workshop, DSW 2019
Y2 - 2 June 2019 through 5 June 2019
ER -