Reliability Monitoring Based on Higher-Order Statistics: A Scalable Proposal for the Smart Grid

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2019-01Department
Ingeniería de Sistemas y Automática, Tecnología Electrónica y ElectrónicaSource
Energies 2019, 12, 55;Abstract
The increasing development of the smart grid demands reliable monitoring of the power
quality at different levels, introducing more and more measurement points. In this framework,
the advanced metering infrastructure must deal with this large amount of data, storage capabilities,
improving visualization, and introducing customer-oriented interfaces. This work proposes a method
that optimizes the smart grid data, monitoring the real voltage supplied based on higher order
statistics. The method proposes monitoring the network from a scalable point of view and offers
a two-fold perspective based on the duality utility-prosumer as a function of the measurement
time. A global PQ index and 2D graphs are introduced in order to compress the time domain
information and quantify the deviations of the waveform shape by means of three parameters.
Time-scalability allows two extra features: long-term supply reliability and power quality in the
short term. As a case study, the work illustrates a real-life monitoring in a building connection point,
offering 2D diagrams, which show time and space compression capabilities, as well.