Open AccessData‐driven sensor placement for state reconstruction via POD analysis
Author(s) -
Castillo Alejandro,
Messina Arturo Roman
Publication year - 2020
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2019.0199
Subject(s) - proper orthogonal decomposition , electric power system , point of delivery , state (computer science) , oscillation (cell signaling) , power (physics) , computer science , binary number , system of measurement , real time computing , control theory (sociology) , electronic engineering , engineering , algorithm , mathematics , artificial intelligence , physics , genetics , arithmetic , control (management) , quantum mechanics , astronomy , agronomy , biology
In this study, a data‐driven framework to determine the optimal sensor locations for power system oscillation monitoring and state reconstruction is proposed. In this approach, candidate sensor locations are selected sequentially using proper orthogonal decomposition (POD) analysis of a reduced‐order binary measurement matrix. Using criteria inferred from the spatial structure of the POD modes, sensor locations having large magnitudes and small cross couplings between modes at the candidate locations are selected from the measurement matrix. The method can be used to reconstruct global system dynamics using a few sensor measurements as well as for the prognosis of power system oscillatory behaviour. The developed procedures are applied to the IEEE 39‐bus test system and to a realistic 5449‐bus model of a large power system.