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.
2017 19th European Conference on Power Electronics and Applications (EPE’17 ECCE Europe)
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Use of Data-Mining for non-Invasive Harmonic Signature Recognition in Micro-Grids: a Preliminary Approach Applied to Residential Areas with PV Converters
Dr. Daniel Siemaszko
Dr. Michel Speiser
Real time simulation, Estimation technique, Harmonics, Frequency-Domain Analysis, Smart microgrids
Power Electronics and Applications (EPE’17 ECCE Europe), 2017 19th European Conference on