DocumentCode :
2118284
Title :
Active islanding detection using high frequency signal injection
Author :
Reigosa, David ; Briz, Fernando ; Blanco, Cristian ; García, Pablo ; Guerrero, Juan Manuel
Author_Institution :
Dept. of Electr., Comput. & Syst. Eng., Univ. of Oviedo, Gijón, Spain
fYear :
2011
fDate :
17-22 Sept. 2011
Firstpage :
2183
Lastpage :
2190
Abstract :
Islanding detection is of great importance for reliable operation of smart grids. Islanding detection methods can be classified into three different groups: active, passive and communication based methods. Active methods inject a disturbing signal (typically a voltage) and analyze the system response (typically in the current). These techniques have a low non-detection zone but present the inconvenience inherent to injecting a disturbing signal. Passive methods monitor the grid condition from the grid variables. These techniques are easy to implement, but present a large non-detection zone. Communications methods have the inconvenient of relying on communications, currently being of limited use. This paper proposes a new active islanding detection method, based on measurement of the grid high frequency impedance by means of the injection of a high frequency voltage. Advantages of the method are almost negligible adverse effects due to the injected high frequency voltage and accurate and fast islanding detection -in the rage of few ms-. Furthermore, the estimated high frequency impedance can be used for adaptive control of the power converter.
Keywords :
distributed power generation; smart power grids; active islanding detection method; active methods; adaptive control; communication based methods; disturbing signal injection; grid high frequency impedance measurement; high frequency signal injection; passive methods; power converter; smart grids; system response; Current measurement; Frequency estimation; Impedance; Inverters; Resonant frequency; Voltage measurement; Active islanding detection; grid impedance measurement; high frequency signal injection; power system monitoring;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energy Conversion Congress and Exposition (ECCE), 2011 IEEE
Conference_Location :
Phoenix, AZ
Print_ISBN :
978-1-4577-0542-7
Type :
conf
DOI :
10.1109/ECCE.2011.6064057
Filename :
6064057
Link To Document :
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