Development of a new bus zone identification algorithm using support vector machine

PROJECT TITLE :

Development of a new bus zone identification algorithm using support vector machine

ABSTRACT :

This study presents a replacement support vector machine (SVM)-primarily based fault zone identification theme, which properly identifies faults occurring inside and outside the protection zone of a busbar. A 220 kV substation with double busbar theme present in an existing Indian system is considered for validation of the proposed fault zone identification algorithm for busbar protection. Fault simulations are performed using PSCAD/EMTDC software package and the result is then interfaced with MATLAB, where fault zone identification algorithm is implemented. A total of forty four 650 internal and external fault cases with varying fault resistances, fault inception angles, fault locations, types of faults and source impedances have been used for validation of the proposed theme. Even though the proposed scheme utilises solely 29.sixty threep.c of the whole simulation cases (63 450) for the training of SVMs, it offers an overall fault zone identification accuracy of additional than 90percent when tested with using remaining 70.thirty sevenpercent simulation cases for validation. The proposed scheme successfully discriminates between in-zone and out-of-zone faults with high fault zone identification accuracy for various fault and system conditions. Moreover, the proposed theme remains stable throughout cross-country faults and severe current transformer (CT) saturation condition.

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