RT journal article
T1 Power quality event dynamics characterization via 2D trajectories using deviations of higher-order statistics
A1 Florencias Oliveros, Olivia
A1 González de la Rosa, Juan José
A1 Agüera Pérez, Agustín
A1 Palomares Salas, José Carlos
A2 Ingeniería en AutomáticaElectrónica, Arquitectura y Redes de Computadores
K1 Higher-Order Statistics (HOS)
K1 Power Quality (PQ)
K1 Power system faults
K1 Power system measurement computing
K1 Smart Grid (SG)
K1 Transients
K1 Trajectory-based classification
K1 Voltage fluctuations
AB This paper presents a measurement procedure to be implemented in smart Power Quality Analyzers (PQA), and conceived to monitor service nodes in the current electrical network. It is thought on the need for developing measurement instruments capable of detecting newly PQ events, which commonly appear in the modern Smart Grid (SG), adding at the same time complementary information, regarding the real-time network state, than the conventional meters do. Its novelty resides in the deployment of the events trajectories in three types of 2D maps based in Higher-Order Statistics (HOS). The events under study appear isolated or in hybrid versions: sags and transients. Examining the HOS dynamics (trajectories in the HOS planes), the procedure allows the online detection and help detect specific types of events. Additionally, this trajectory-based method reveals some other features like hybrid events, the depth or event degree, the duration and the phase changes. The results are based on real-life signals, which have been surveyed in a buildingis node. A complementary deviation index gathers the information regarding the individual distances between each statistic and its associated ideal value.
PB Elsevier
SN 1873-412X
YR 2017
FD 2017-06
LK http://hdl.handle.net/10498/34649
UL http://hdl.handle.net/10498/34649
LA eng
NO Also our gratitude goes to the Andalusian Government for supporting the Research Group PAIDI-TIC-168, in Computational Instrumentation and Industrial Electronics (ICEI).
NO This work is supported by the Spanish Ministry of Economy and Competitiveness and the EU (AEI/FEDER/UE) via the project TEC2016-77632-C3-3-R - COntrol and Management of Isolable NanoGrids: Smart Instruments for Solar forecasting and Energy Monitoring.
DS Repositorio Institucional de la Universidad de Cádiz
RD 21-sep-2026