ABSTRACT
The future of distribution networks tends more and more to include computational power, embedded intelligence and smart metering on the high voltage level as well as the low voltage micro-grids. Several hardware solutions were developed to implement the so-called smart grids with measurement devices delivering data about the state of networks on various levels. This work introduces the use of a specific electric signature based on harmonic response of power converters in order to be able to get information in a non-invasive manner. A simulated residential grid with several loads and PV converters has been run real-time with one micro second sampled data, for being able to retrieve information through data mining methods.
EDITOR
TITLE
IEEE
2017 19th European Conference on Power Electronics and Applications (EPE’17 ECCE Europe)
LICENCE
All rights reserved
LINK
ARTICLE
TITLE
Use of Data-Mining for non-Invasive Harmonic Signature Recognition in Micro-Grids: a Preliminary Approach Applied to Residential Areas with PV Converters
AUTORS
Dr. Daniel Siemaszko
Dr. Michel Speiser
KEYWORDS
Real time simulation, Estimation technique, Harmonics, Frequency-Domain Analysis, Smart microgrids
PUBLISHED IN
Power Electronics and Applications (EPE’17 ECCE Europe), 2017 19th European Conference on
