RT journal article
T1 Methodology for the Surveillance the Voltage Supply in Public Buildings Using the ITIC Curve and Python Programming
A1 González de la Rosa, Juan José
A1 Sierra Fernández, José María
A1 Florencias Oliveros, Olivia
A1 Remigio Carmona, Paula
A1 Espinosa Gavira, Manuel Jesús
A1 Agüera Pérez, Agustín
A1 Palomares Salas, José Carlos
A1 Fernández Morales, Javier
A2 Ingeniería en AutomáticaElectrónica, Arquitectura y Redes de Computadores
K1 Acceptance curve
K1 High order statistics
K1 Information technology industry council (ITIC)
K1 Observational data
K1 Quality indices
K1 Voltage sags
K1 Voltage swells
AB This paper proposes an easy-to-implement method for detecting and assessing two of the most frequent PQ (Power Quality) problems: voltage sags and swells. These can affect sensitive equipment such as computers, programmable logic controllers, contactors, etc. Therefore, it is of great interest to implement it in any laboratory, not only for protection reasons but also as a safeguard for claims against the supply company. Thanks to the actual context, in which it is possible to manage big volumes of data, connect multiple devices with IoT (Internet of Things), etc., it is feasible and of great interest to monitor the voltage at specific points of the network. This makes it possible to detect voltage sags and swells and diagnose which points are more prone to this type of problems. For the detection of sags and swells, a program written in Python is in charge of crawling all the files in the database and target those RMS values that fall outside the established limits. Compared to LabVIEW, which might have been the most logical alternative, being the acquisition hardware from the same company (National Instruments), Python has a higher computational performance and is also free of charge, unlike LabVIEW. Thanks to the libraries available in Python, it allows a hardware control close to what is possible using LabVIEW. Implemented in MATLAB, the ITIC (Information Technology Industry Council) power acceptability curve reflects the impact of these power quality disturbances in electrical power systems. The results showed that the combined action of Python and MATLAB performed well on a conventional desktop computer.
PB MDPI
SN 2306-5729
YR 2022
FD 2022-11
LK http://hdl.handle.net/10498/29170
UL http://hdl.handle.net/10498/29170
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 06-nov-2026