Islanding Detection of Synchronous Machine-Based DGs using Average Frequency Based Index

Identification of intentional and unintentional islanding situations of dispersed generators (dgs) is one of the most important protection concerns in power systems. considering safety and reliability problems of distribution networks, an exact diagnosis index is required to discriminate the loss of the main network from the existing parallel operation. hence, this paper introduces a new islanding detection method for synchronous machine–based dgs. this method uses the average value of the generator frequency to calculate a new detection index. the proposed method is an effective supplement of the over/under frequency protection (ofp/ufp) system. the analytical equations and simulation results are used to assess the performance of the proposed method under various scenarios such as different types of faults, load changes and capacitor bank switching. to show the effectiveness of the proposed method, it is compared with the performance of both rocof and rocofop methods.