TY - JOUR
T1 - Sensor Fault-detection Algorithm on a AC/DC Converters for Microgrids based on Principal Component Analysis
AU - Quishpe Guamantica, Soledad Paulina
AU - Ortiz, Leony
AU - Téllez, Alexander Aguila
AU - Maldonado, Milton Gonzalo Ruiz
AU - Chamorro, Silvana Fabiola Varela
N1 - Publisher Copyright:
© 2022, Scipedia S.L.. All rights reserved.
PY - 2022
Y1 - 2022
N2 - The present academic research work proposes a method based on Principal Component Analysis (PCA) for the detection of failures in sensors related to local control of AC/ DC voltage converters in a micro-grid (MR) with the possibility of coupling to the net. In order to achieve the aforementioned, a simulation of a micro-grid is carried out with a variety of loads (linear and non-linear) and both conventional and renewable generators, as well as storage elements that together have DC and AC systems with their respective converters. The researchers propose two failure scenarios and a normal operating scenario that serves as a reference to carry out the analyzes. As a result of the, an algorithm has been implemented that, based on the main components of the mentioned cases, calculates differences between the spaces obtained from a total of 195 variables collected in all the bars of the system, in addition to the sensing for local control. The observations obtained are around 145000 value takes.
AB - The present academic research work proposes a method based on Principal Component Analysis (PCA) for the detection of failures in sensors related to local control of AC/ DC voltage converters in a micro-grid (MR) with the possibility of coupling to the net. In order to achieve the aforementioned, a simulation of a micro-grid is carried out with a variety of loads (linear and non-linear) and both conventional and renewable generators, as well as storage elements that together have DC and AC systems with their respective converters. The researchers propose two failure scenarios and a normal operating scenario that serves as a reference to carry out the analyzes. As a result of the, an algorithm has been implemented that, based on the main components of the mentioned cases, calculates differences between the spaces obtained from a total of 195 variables collected in all the bars of the system, in addition to the sensing for local control. The observations obtained are around 145000 value takes.
KW - ''Microgrid
KW - Chamorro
KW - Fault Detection and
KW - identification
KW - Local Control
KW - Principal Component Analysis
KW - Silvana Fabiola Varela
KW - Voltage Source Converter
UR - http://www.scopus.com/inward/record.url?scp=85140312463&partnerID=8YFLogxK
U2 - 10.23967/j.rimni.2022.09.009
DO - 10.23967/j.rimni.2022.09.009
M3 - Article
AN - SCOPUS:85140312463
SN - 0213-1315
VL - 38
JO - Revista Internacional de Metodos Numericos para Calculo y Diseno en Ingenieria
JF - Revista Internacional de Metodos Numericos para Calculo y Diseno en Ingenieria
IS - 4
M1 - 36
ER -
