RT book part
T1 Chapter Forty-One: Part VII: Voltage Sags and Dips, Power Quality - Chapter Forty-One: A Power  Quality Instrument for the Smart Grid Monitoring based on Higher-Order Statistics
A1 Florencias Oliveros, Olivia
A1 González de la Rosa, Juan José
A1 Agüera Pérez, Agustín
A1 Palomares Salas, José Carlos
A1 Sierra Fernández, José María
A2 Ingeniería en AutomáticaElectrónica, Arquitectura y Redes de Computadores
K1 higher-order statistics
K1 power quality (PQ)
K1 power quality index
K1 electronic instrumentation
K1 virtual instrument
K1 real-time monitoring
AB This chapter proposes a virtual instrument for PQ assessment based onhigher-order statistics. Accompanied by a new global index, theinstrument implements a monitoring strategy that triggers a measurementprocedure when an electrical fault is present and a local predefinedthreshold is surpassed. The method helps to classify events and continuousdisturbances by tracking deviations in statistical parameters from theirideal steady-state values. Designed in LabVIEWTM, the user interfaceincludes online graphs showing variance, skewness, and kurtosis, alongwith hybrid representations of variance versus the cited higher-orderstatistics. Based on a 50 Hz 100-signal battery, which gathers differenttypes of electrical disturbances, the instrument was validated during onlinemeasurement sessions. Using stat-vs.-stat graphs that implement cycle-to cycle surveillance, results are depicted in 2D. The graphs show thatvoltage sags and transients can be classified within different clusters, witha low level of uncertainty. These visualization features allow the operatorto view the relevant data objectively during an online monitoring sessionand, if needed, enhance the report with additional data, for example if theyneed to claim for economic losses and potential breaches of contract.
PB Cambridge Scholars Publishing
SN 1-5275-4530-X
YR 2020
FD 2020-02-24
LK http://hdl.handle.net/10498/35189
UL http://hdl.handle.net/10498/35189
LA eng
NO The  authors  thank  the  Spanish  Ministry  of  Economy  and Competitiveness    for    funding    the    research    project TEC2013-47316-C3-2-P,   ADvanced   TEChniques   for Power Quality Reliability analysis.
DS Repositorio Institucional de la Universidad de Cádiz
RD 07-nov-2026