RT conference output
T1 Learning Platform for Power Quality Surveillance
A1 Palomares Salas, José Carlos
A1 Sierra Fernández, José María
A1 Agüera-Pérez, Agustín
A1 Florencias Oliveros, Olivia
A1 Espinosa Gavira, Manuel Jesús
A1 González de la Rosa, Juan José
A2 Ingeniería en AutomáticaElectrónica, Arquitectura y Redes de Computadores
K1 learning platform
K1 power quality
K1 higher-order statistics
K1 statistical learning
K1 power systems
AB In recent years, power quality (PQ) has become a major concern due to the increasing complexity of modern power systems within the integration of distributed energy resources. This paper presents the design and implementation of a learning platform for their PQ surveillance. The proposed design consists of two independent but also complementary modules. With time-compression capabilities, the first one is a signal processing module; it is based on higher-order statistics (HOS) and it is thought to monitor and characterize the voltage; its counterpart is oriented to statistical learning, and it detects and classifies PQ events. The aim of this platform is to enable both undergraduate and graduate engineering students to analyze modelling techniques for event analysis via different lessons with the underlying goal of approaching to real-life practice.
PB IEEE Computer Society
SN 9781728109305
SN 2165-9567
YR 2020
FD 2020-04
LK http://hdl.handle.net/10498/38649
UL http://hdl.handle.net/10498/38649
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 06-nov-2026