Evaluation of a new Power Quality index, based in Higher Order Statistics

2017 ◽  
Vol 1 (15) ◽  
pp. 37-42
Author(s):  
J.M. Sierra-Fernández ◽  
J.J. González De La Rosa ◽  
A. Agüera-Pérez ◽  
J.C. Palomares Salas ◽  
O. Florencias-Oliveros
Keyword(s):  
Order Statistics ◽  
Power Quality ◽  
Quality Index ◽  
Higher Order ◽  
Higher Order Statistics

scholarly journals A Site Characterization Index for Continuous Power-Quality Monitoring based on Higher-Order Statistics

2020 ◽  
Vol 18 ◽  
pp. 255-260
Author(s):  
Olivia Florencias-Oliveros ◽  
◽  
Jose María Sierra-Fernández ◽  
Juan José González- de la Rosa ◽  
Agustín Agüera-Pérez ◽  
...  
Keyword(s):  
Order Statistics ◽  
Power Quality ◽  
Site Characterization ◽  
Higher Order ◽  
Quality Monitoring ◽  
Higher Order Statistics ◽  
Power Quality Monitoring ◽  
Continuous Power ◽  
A Site ◽  
Characterization Index

Voltage Supply Frequency Uncertainty influence on Power Quality index: A qualitative analysis of Higher-Order Statistics 2D trajectories

2018 ◽  
Author(s):  
Olivia Florencias-Oliveros ◽  
Agustin Aguera-Perez ◽  
Jose-Maria Sierra-Fernandez ◽  
Juan-Jose GonzaLez-De-La-Rosa ◽  
Jose-Carlos Palomares-Salas ◽  
...  
Keyword(s):  
Qualitative Analysis ◽  
Order Statistics ◽  
Power Quality ◽  
Quality Index ◽  
Higher Order ◽  
Higher Order Statistics ◽  
Voltage Supply

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

Energies ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 55 ◽  
Author(s):  
Olivia Florencias-Oliveros ◽  
Juan-José González-de-la-Rosa ◽  
Agustín Agüera-Pérez ◽  
José-Carlos Palomares-Salas
Keyword(s):  
Smart Grid ◽  
Order Statistics ◽  
Power Quality ◽  
Data Storage ◽  
Real Life ◽  
Higher Order ◽  
Point Of View ◽  
Higher Order Statistics ◽  
Grid Data ◽  
The Time Domain

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.

Power quality event dynamics characterization via 2D trajectories using deviations of higher-order statistics

Measurement ◽  
2018 ◽  
Vol 125 ◽  
pp. 350-359 ◽  
Author(s):  
Olivia Florencias-Oliveros ◽  
Juan-José González-de-la-Rosa ◽  
Agustín Agüera-Pérez ◽  
José-Carlos Palomares-Salas
Keyword(s):  
Order Statistics ◽  
Power Quality ◽  
Higher Order ◽  
Higher Order Statistics ◽  
Event Dynamics

Methodology based on higher-order statistics and genetic algorithms for the classification of power quality disturbances

2020 ◽  
Vol 14 (20) ◽  
pp. 4580-4592
Author(s):  
Luis Alejandro Romero-Ramirez ◽  
David Alejandro Elvira-Ortiz ◽  
Arturo Y. Jaen-Cuellar ◽  
Daniel Morinigo-Sotelo ◽  
Roque A. Osornio-Rios ◽  
...  
Keyword(s):  
Genetic Algorithms ◽  
Order Statistics ◽  
Power Quality ◽  
Higher Order ◽  
Higher Order Statistics ◽  
Power Quality Disturbances
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