Ianniello, Giacomo (2013) Power quality measurement methods aimed at disturbances detection and instrumentation susceptibility assessment. [Tesi di dottorato]

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Item Type: Tesi di dottorato
Lingua: English
Title: Power quality measurement methods aimed at disturbances detection and instrumentation susceptibility assessment
Creators:
CreatorsEmail
Ianniello, Giacomogiacomo.ianniello@unina.it
Date: 2 April 2013
Number of Pages: 90
Institution: Università degli Studi di Napoli Federico II
Department: Ingegneria Elettrica e delle Tecnologie dell'Informazione
Scuola di dottorato: Ingegneria industriale
Dottorato: Ingegneria elettrica
Ciclo di dottorato: 25
Coordinatore del Corso di dottorato:
nomeemail
Rubinacci, Guglielmorubinacci@unina.it
Tutor:
nomeemail
D'Apuzzo, Massimodapuzzo@unina.it
D'Arco, Maurodarco@unina.it
Date: 2 April 2013
Number of Pages: 90
Uncontrolled Keywords: power quality; Power meter, ADC
Settori scientifico-disciplinari del MIUR: Area 09 - Ingegneria industriale e dell'informazione > ING-INF/07 - Misure elettriche e elettroniche
Date Deposited: 10 Dec 2013 10:25
Last Modified: 15 Jul 2014 13:13
URI: http://www.fedoa.unina.it/id/eprint/9380

Abstract

In this work several important aspects of power quality are discussed, and measurement methods aimed at disturbances detection are proposed. A first aspect, investigated throughout laboratory tests, concerns the effects of poor power quality on measurement instrumentation. Susceptibility studies have been carried out considering the disturbances referred into standard CEI EN 50160. Controlled power quality disturbances have been injected in instrumentation and both reliability and accuracy issues have been checked in the test. A second aspect taken into account is that related to the instrumentation needed for the analysis of the power quality. An original contribution that consists in the design and implementation of a distributed low cost Arm based network analyzer has been presented. The network analyzer is able to measure the power quality characteristics by each appliance. Furthermore, the proposed distributed analyzer includes a web server that allows to collect the statistics of each meter. A client can connect to the server to analyze meter group measurement results. Several details related to suitable strategies to increase measurement resolution have also been considered. In particular a pre processing scheme to enhance resolution of data acquisition systems mainly in presence of band bass input signals has been investigated. This solution permits to acquire a seamless data stream with improved vertical resolution. An important feature is that this solution shows efficient in terms of hardware requirements and processing time. Finally, since in power quality assessment harmonic analysis plays a key role, modeling and analysis of the functioning of power systems in time varying conditions has been studied with the purpose of understanding how harmonic analysis could be used effectively in these scenarios. In particular the power systems have been described trough simplified approaches by recognizing load conditions that can be considered stationary within limited time intervals. A data segmentation approach to distinguish the time intervals in which stationary load conditions can be recognized has been proposed and assessed.

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