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Support vector clustering-based direct coherency identification of generators in a multi-machine power system

Agrawal, Rimjhim and Thukaram, Dhadbanjan (2013) Support vector clustering-based direct coherency identification of generators in a multi-machine power system. In: IET GENERATION TRANSMISSION & DISTRIBUTION, 7 (12). pp. 1357-1366.

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Official URL: http://dx.doi.org/10.1049/iet-gtd.2012.0681

Abstract

This study investigates the application of support vector clustering (SVC) for the direct identification of coherent synchronous generators in large interconnected multi-machine power systems. The clustering is based on coherency measure, which indicates the degree of coherency between any pair of generators. The proposed SVC algorithm processes the coherency measure matrix that is formulated using the generator rotor measurements to cluster the coherent generators. The proposed approach is demonstrated on IEEE 10 generator 39-bus system and an equivalent 35 generators, 246-bus system of practical Indian southern grid. The effect of number of data samples and fault locations are also examined for determining the accuracy of the proposed approach. An extended comparison with other clustering techniques is also included, to show the effectiveness of the proposed approach in grouping the data into coherent groups of generators. This effectiveness of the coherent clusters obtained with the proposed approach is compared in terms of a set of clustering validity indicators and in terms of statistical assessment that is based on the coherency degree of a generator pair.

Item Type: Journal Article
Publication: IET GENERATION TRANSMISSION & DISTRIBUTION
Publisher: INST ENGINEERING TECHNOLOGY-IET
Additional Information: copyright for this article belongs to INST ENGINEERING TECHNOLOGY-IET
Keywords: fault location; power grids; power system analysis computing; power system interconnection; rotors; support vector machines; synchronous generators; support vector clustering; direct coherency identification; coherent synchronous generators; interconnected multimachine power systems; coherency measure matrix; generator rotor measurements; IEEE 10 generator 39-bus system; 246-bus system; India; fault locations; clustering validity indicators; generator pair
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 05 Jan 2014 04:34
Last Modified: 05 Jan 2014 04:42
URI: http://eprints.iisc.ac.in/id/eprint/47939

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