A secured, reliable and accurate unplanned island detection method in a renewable energy based microgrid

Abstract

The paper proposes an unplanned island detection method in a microgrid with micro phasor measurement unit (μPMU). The μPMU extracts certain features, by using multi domain nature of discrete fractional Fourier transform, from measured voltage data and feeds it to a random forest classifier model to make decision of island or fault occurrence. The method was tested on an IEEE 34 node distribution network. The results show that the method is robust, reliable, cost effective and increases situational awareness. The proposed method has 99.8% accuracy, 99.89% security, 98.11% reliability, zero non detection zone and detection time of 49 ms.

Keywords

• Island detection
• Microgrid
• Discrete fractional Fourier transform
• Random forest classifier
• Micro phasor measurement unit