%0 Journal Article 
%A Florencias Oliveros, Olivia
%A González de la Rosa, Juan José
%A Agüera Pérez, Agustín
%A Palomares Salas, José Carlos
%A Sierra Fernández, José María
%T 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
%D 2020
%U http://hdl.handle.net/10498/35189
%X This chapter proposes a virtual instrument for PQ assessment based on
higher-order statistics. Accompanied by a new global index, the
instrument implements a monitoring strategy that triggers a measurement
procedure when an electrical fault is present and a local predefined
threshold is surpassed. The method helps to classify events and continuous
disturbances by tracking deviations in statistical parameters from their
ideal steady-state values. Designed in LabVIEWTM, the user interface
includes online graphs showing variance, skewness, and kurtosis, along
with hybrid representations of variance versus the cited higher-order
statistics. Based on a 50 Hz 100-signal battery, which gathers different
types of electrical disturbances, the instrument was validated during online
measurement sessions. Using stat-vs.-stat graphs that implement cycle-to cycle surveillance, results are depicted in 2D. The graphs show that
voltage sags and transients can be classified within different clusters, with
a low level of uncertainty. These visualization features allow the operator
to view the relevant data objectively during an online monitoring session
and, if needed, enhance the report with additional data, for example if they
need to claim for economic losses and potential breaches of contract.
%K higher-order statistics
%K power quality (PQ)
%K power quality index
%K electronic instrumentation
%K virtual instrument
%K real-time monitoring
%~ Universidad de Cádiz