access icon free Data-mining-based intelligent anti-islanding protection relay for distributed generations

© The Institution of Engineering and Technology
Received 19/07/2013, Accepted 23/10/2013, Revised 16/09/2013, Published 12/12/2013

A data-mining-based intelligent anti-islanding detection scheme for distributed generation (DG) protection has been presented. The process starts at deriving highly involved features using discrete Fourier transform-based pre-processor at the DG end. The features derived include both positive and negative sequence quantities and related features. Once the features are retrieved, the decision tree is trained to build a data-mining model for identifying the islanding events from non-islanding situations, including disturbances close to islanding conditions. The proposed anti-islanding relay is extensively tested on simulation model and provides encouraging results considering wide variations in operating conditions. Further, the validation is extended on real-time digital simulator module to test the efficacy of the proposed anti-islanding relay. The test results indicate that the proposed anti-islanding relay can reliably detect islanding conditions while meeting the speed criteria.

Inspec keywords: data mining; power generation protection; power engineering computing; discrete Fourier transforms; relay protection; distributed power generation; decision trees

Other keywords: speed criteria; real-time digital simulator module; data-mining-based intelligent anti-islanding protection relay; simulation model; discrete Fourier transform-based preprocessor; negative sequence quantities; positive sequence quantities; efficacy testing; decision tree; distributed generation protection

Subjects: Integral transforms; Knowledge engineering techniques; Combinatorial mathematics; Power system protection; Integral transforms; Distributed power generation; Data handling techniques; Combinatorial mathematics; Power engineering computing

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