DocumentCode :
617180
Title :
A smart grid voltage sag detector using an EEMD-based approach
Author :
Amirat, Yacine ; Benbouzid, Mohamed
Author_Institution :
LBMS, ISEN, Brest, France
fYear :
2013
fDate :
12-15 May 2013
Firstpage :
1300
Lastpage :
1304
Abstract :
Smart grids have become a focal point in renewable energy source researches. Sustainability and viability of distributed grids are highly dependent on the reduction of the operational and maintenance costs. The most efficient way of reducing these costs would be to continuously monitor the condition of these systems. This allows for early detection of the power quality degeneration, and facilitating a proactive response, prevent a fault ride-through the renewable energy conversion system, minimizing downtime, and maximizing productivity. This paper provides then the assessment of an advanced signal processing technique (demodulation tool) using the instantaneous power for voltage detection in smart grids.
Keywords :
demodulation; power supply quality; power system measurement; renewable energy sources; signal detection; smart power grids; EEMD-based approach; advanced signal processing technique; demodulation tool; distributed grids; ensemble empirical mode decomposition; fault ride-through; maintenance cost; operational cost; power quality degeneration; renewable energy sources; smart grid voltage sag detector; Monitoring; Power generation; Power quality; Signal processing; Smart grids; Voltage fluctuations; Smart grid; ensemble empirical mode decomposition (EEMD); power quality (PQ); voltage sag detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Machines & Drives Conference (IEMDC), 2013 IEEE International
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4673-4975-8
Electronic_ISBN :
978-1-4673-4973-4
Type :
conf
DOI :
10.1109/IEMDC.2013.6556318
Filename :
6556318
Link To Document :
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