Universitat de Girona
info:eu-repo/date/embargoEnd/2019-05-25
2019
Comunicació presentada a "Tenth Protection, Automation and Control (PAC) World Conference", celebrada del 17 al 20 de juny de 2019 a la University of Strathclyde a Glasgow, UK
PAC World Conference (10th: 2019: Glasgow,UK)
This work presents the development and results of an automated event detection strategy based on principal component analysis (PCA) for low voltage distribution grids with the presence of distributed generation (DG) and phasor measurement units (PMUs). The proposed methodology, relying on measurements provided by PMUs installed at different nodes, is capable of correctly identifying and distinguishing abnormal operating conditions (AOC) from normal operating conditions (NOC) without requiring any information about the network topology or electrical parameters of its components. Moreover, it is tested and validated under voltage sags and swells in a real-based power distribution network simulated in MATLAB with PMUs deployed in distinct settings
Object of conference
Submitted version
English
Baixa tensió -- Congressos; Low voltage systems -- Congresses; Enginyeria elèctrica -- Congressos; Electrical engineering -- Congresses; Control electrònic -- Congressos; Electronic control -- Congresses; Anàlisi de components principals -- Congressos; Principal components analysis -- Congresses
Universitat de Girona
info:eu-repo/grantAgreement/EC/H2020/773715/EU/Renewable penetration levered by Efficient Low Voltage Distribution grids/RESOLVD
Tots els drets reservats
