A new SVM based islanding detection scheme in the presence of distributed generation

The injection from small or medium sized distributed generation units operating in parallel with the utility grid supply presents several technical issues for the control and protection of the system. Amongst these, need is there to protect the system from islanding, caused by the loss of the utility grid supply. Failure to trip islanded generator can lead to problems such as out of phase reclosing, threats to personnel safety, damage of network instruments and degradation of power quality. In this paper a new scheme for islanding detection of distribution network with Distributed Generation (DG) is proposed, using a Support Vector Machine (SVM) classifier. After generating test data (Voltage and Current) using PSCAD/EMTDC simulation package, a decision of islanding or non islanding condition is carried out using SVM classifier. The proposed scheme is tested on islanding and various non islanding conditions such as faults on adjacent feeder, sudden change of load, capacitor switching, normal condition etc. and found to be highly effective in islanding detection.

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