NDLI: A Fast Gauss-Newton Algorithm for Islanding Detection in Distributed Generation

Content Provider	IEEE Xplore Digital Library
Author	Padhee, M. Dash, P.K. Krishnanand, K.R. Rout, P.K.
Copyright Year	2010
Abstract	The paper presents a new Fast Gauss-Newton algorithm (FGNWA) for the detection of islanding condition in distributed generation systems (DGs) when they are disconnected from the main supply system or there are small load unbalances in the distribution network. During islanding conditions power system parameters like frequency, voltage magnitude, phase change, total harmonic distortion, and various sequence voltage, current, and power components do change and hence by monitoring these changes accurately, an islanding condition can be detected. A forgetting factor weighted error cost function is minimized by the well known Gauss-Newton (GN) algorithm and the resulting Hessian matrix is approximated by ignoring the off-diagonal terms to yield the new FGNW algorithm to estimate, in a recursive and decoupled manner, all the above voltage and current signal parameters accurately for realistic power systems even in the presence of significant noise. A number of test cases considering both islanding and nonislanding, for realistic, hybrid distribution networks has demonstrated the reliability and accuracy of the islanding detection scheme, when a fuzzy expert system (FES) is used in conjunction with the proposed FGNW algorithm.
Starting Page	1181
Ending Page	1191
Page Count	11
File Size	2809738
File Format	PDF
ISSN	19493053
Volume Number	3
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Frequency estimation Harmonic analysis Noise Estimation Power system harmonics Voltage measurement power signal parameters estimation Distributed generation Fast Gauss-Newton algorithm fuzzy expert system islanding detection
Content Type	Text
Resource Type	Article
Subject	Computer Science

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