Adaptive Fuzzy Sandia Frequency-Shift Method for Islanding Protection of Inverter-Based Distributed Generation

Sandia Frequency Shift (SFS) is one of the active islanding detection methods that rely on frequency drift to detect an islanding condition. Recently, SFS has been widely applied to inverter-based distributed generations due to its small Non-Detection Zone (NDZ). The NDZ in SFS method highly depends...

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Bibliographic Details
Published inIEEE transactions on power delivery Vol. 28; no. 1; pp. 84 - 92
Main Authors Vahedi, H., Karrari, M.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.01.2013
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Capacitance
Distributed generation (DG)
Electric power distribution
Electric power systems
Estimation
Frequency shift
Fuzzy
fuzzy estimation
Fuzzy logic
Fuzzy set theory
Inductance
inverter
Inverters
islanding
Loading
On-line systems
Parameter estimation
Q factor
Sandia frequency shift
Tuning
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Summary:Sandia Frequency Shift (SFS) is one of the active islanding detection methods that rely on frequency drift to detect an islanding condition. Recently, SFS has been widely applied to inverter-based distributed generations due to its small Non-Detection Zone (NDZ). The NDZ in SFS method highly depends on its design parameters. Improper tuning of these parameters may result in failure of the method. In the proposed method in this paper, the load parameters are estimated online and the SFS parameter is adaptively tuned to eliminate NDZ using fuzzy load parameter estimation (FLPE) method. Simulation results verify the excellent performance of the proposed method.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0885-8977
1937-4208
DOI:10.1109/TPWRD.2012.2219628