A Novel Approach for Islanding Detection in Distributed Wind Energy Generators within Renewable Energy-Integrated Smart Grid using the 3-Parameter Sine Fit Algorithm

Abstract

This paper introduces a novel islanding detection method employing the 3 Parameter Sine Fit (3PSF) algorithm, which accurately estimates the angle between voltage and current at Distributed Generators (DGs). The method improves islanding identification in a test system consisting three Wind Energy Generators (WEGs) and an Emergency Diesel Engine Generator (EDEG). To demonstrate the efficacy of suggested novel strategy, the assessment is done under variety of situations such as islanding, load shedding and distribution line loss. Furthermore, a new mathematical model is developed for load shedding and this mathematical model is validated under wide range load shedding variations. This is validated that the 3PSF technique is a potential option for accurate islanding identification. Its superior sensitivity and resilience over ROCOF are highlighted by the results, which are confirmed by MATLAB-Simulink simulations.