• Vishakha Rajkumar Kelwatkar
• Prof. Nilima B. Dhande

The term "distributed generation" refers to a new type of energy source that is employed in distribution networks. Customers or distribution system operators link DGs directly or indirectly. DGs are often linked near consumer load centres. The increased usage of DGs results in improved power quality, a better voltage profile, and a reduction in losses. Because dispersed energy resources are becoming more important in power systems, their issues should be investigated. Unplanned islanding is one of the most serious issues with dispersed energy supplies. The power systems and the repairmen who are working with the wrong equipment are both at risk as a result of the unexpected islanding. The suggested technique uses the wavelet transform as well as a novel classifier called Back-propagation Artificial Neural Network (BP-ANN) and Adaptive Neuro Fuzzy Inference System (ANFIS). To extract characteristics from the current waveform at the point of common coupling (PCC), the wavelet transform is utilised. PCC is believed to be the distribution system's connecting point for dispersed generating. In MATLAB/SIMULINK software, the suggested technique is implemented on a two PV array 40 KW as a Distributed generating system. The findings demonstrate the suggested method's excellent accuracy in detecting islanding. At last, comparison of ANFIS and BP-ANN approach is done and finally conclusion provide for best classifier for islanding detection for distributed generator system.

Islanding detection, Distributed generators, Solar PV array system

"Islanding Detection of Inverter Interface Distributed Generator in Microgrid", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.g71-g80, July-2021, Available :http://www.jetir.org/papers/JETIR2107740.pdf

"Islanding Detection of Inverter Interface Distributed Generator in Microgrid", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppg71-g80, July-2021, Available at : http://www.jetir.org/papers/JETIR2107740.pdf