Prioritization of Passive Parameters from Modified Averaging Approach-Based Computation (MAAC) Methodology for Ascertaining Formation of Single and Multi-Location Unintentional Islands

Abstract

In the present scenario, the integration of distributed generation (DG) sources into the grid is inevitably required for meeting demand and ameliorating the power quality. High integration levels can form unintentional islands which need to be recognized to provide safety. In this context, 64 passive parameters have been tested in the MATLAB/SIMULINK environment for extensive islanding and non-islanding switching events on standard IEEE 13, 34, and 37 bus distribution test feeders (DTFs) integrated with photovoltaic (PV) inverter-based and rotating-based (induction generator) DG sources at multiple locations. In order to obtain effective passive parameters, a modified averaging approach-based computation (MAAC) methodology has been proposed. The proposed methodology computes the averaged islanding and non-islanding values of all �64� parameters and prioritizes them accordingly by threshold value comparison. Additionally, it lessens the computational burden. The parameter threshold setting is simplified by obtaining threshold values directly from IEEE 1547-2018, UL1741, and IEEE 929-2000 grid interconnection standards, and the threshold values obtained are the same for the three DTFs. As a result, a generalized solution has been provided. The simulation results confer a set of the overall most effective passive parameters for ascertaining islanding, especially for a complex scenario of multi-DG multi-location island formations. � 2022 by the authors.