Abstract

The incorporation of distributed energy resources (DERs) into the electricity grid yields environmental, technical, and economic benefits. However, in addition to the benefits, the widespread use of DERs causes technical issues. Islanding is a big concern in terms of equipment protection and personnel safety, and it should be detected as soon as possible. The proposed approach employs a passive islanding detection technique based on reactive power (Q). The Q was chosen following a comparison of five other indices. Comparative analysis reveals that Q has the highest sensitivity and accuracy for islanding recognition when compared to all other observed parameters. Different case studies have been performed considering the worst-case scenario to check the working efficiency of the proposed scheme that simply distinguishes the islanding conditions from non-islanding conditions, which include load, motor, and capacitor switching, various types of fault switching, DG tripping cases, and weak grid contribution. The proposed strategy is straightforward, with quick execution and simple implementation in the MATLAB/SIMULINK environment on the IEEE 1547-2018 generic test system. With a small non-detection zone, islanding is detected in 0.038 s.

Highlights

  • A large amount of energy was produced at the generating end stations, and this generated energy at the power plants was transmitted over long lines to the distribution and consumer ends

  • After a detailed literature review on islanding detection methods, we have found that most of passive islanding detection algorithms are complex and lengthy

  • A passive islanding strategy is being developed depending upon the reactive power after the comparative assessment of five different passive indices that are frequency, power factor, voltage, active power, and reactive power

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Summary

Introduction

A large amount of energy was produced at the generating end stations, and this generated energy at the power plants was transmitted over long lines to the distribution and consumer ends. The trend is toward distributed energy resources (DERs), which are utilized to generate power at lower levels. Fuel cells, biomass, wind power plants, mini-hydro, biogas, tidal, and geothermal are examples of distributed generating resources. The energy produced by DERs is commonly referred to as distributed generation (DG). The DERs meet the majority of the load demand (Abd-Elkader et al, 2014). When a DG is integrated with the utility, the topological trends of the power system occur and the configuration of the system shifts from centralized to decentralized power generation (Manditereza and Bansal, 2016)

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