A smart grid can be seen as a sensor network, with immense amounts of grid sensor data continuously transmitted from various sensors. Mining knowledge from these data in order to enrich the grid with knowledge-based services is a challenging task due to the massive scale and spatial coupling therein. In this paper, we present a novel knowledge-based fault diagnosis service which is designed to detect faults in the energy production of a grid of PhotoVoltaic (PV) plants. A case study with a grid of PV plants distributed over the South of Italy is illustrated.
Fault Diagnosis in Smart Grid of PhotoVoltaic Plants
APPICE, ANNALISA;LANZA, Antonietta;
2011-01-01
Abstract
A smart grid can be seen as a sensor network, with immense amounts of grid sensor data continuously transmitted from various sensors. Mining knowledge from these data in order to enrich the grid with knowledge-based services is a challenging task due to the massive scale and spatial coupling therein. In this paper, we present a novel knowledge-based fault diagnosis service which is designed to detect faults in the energy production of a grid of PhotoVoltaic (PV) plants. A case study with a grid of PV plants distributed over the South of Italy is illustrated.File in questo prodotto:
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