RT journal article
T1 Reliability Monitoring Based on Higher-Order Statistics: A Scalable Proposal for the Smart Grid
A1 Florencias Oliveros, Olivia
A1 González de la Rosa, Juan José
A1 Agüera Pérez, Agustín
A1 Palomares Salas, José Carlos
A2 Ingeniería de Sistemas y AutomáticaTecnología Electrónica y Electrónica
K1 signal waveform compression
K1 higher-order statistics (HOS)
K1 power quality (PQ)
K1 computational solutions for advanced metering infrastructure (AMI)
K1 smart grid (SG) applications
AB The increasing development of the smart grid demands reliable monitoring of the powerquality 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 methodthat optimizes the smart grid data, monitoring the real voltage supplied based on higher orderstatistics. The method proposes monitoring the network from a scalable point of view and offersa two-fold perspective based on the duality utility-prosumer as a function of the measurementtime. A global PQ index and 2D graphs are introduced in order to compress the time domaininformation 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 theshort 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.
PB MDPI
SN 1996-1073
YR 2019
FD 2019-01
LK http://hdl.handle.net/10498/21292
UL http://hdl.handle.net/10498/21292
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 21-sep-2026