Intrinsic Time Decomposition Based Adaptive Reclosing Technique for Microgrid System

Abstract

The conventional reclosing system generally follows the prefixed operating time to close the breaker followed by any transient fault. In a microgrid system with a storage facility, the uninterrupted power supply can be provided with the help of a storage system for a short time period. For that time period, the faulty section is generally disconnected from the rest of the healthy system and again reconnected after the clearance of the fault. In that case, if the fault clearance phenomenon will take more time than the battery system will not able to manage huge load demand and may get out of the system and this will lead to an unstable system condition. To avoid such a condition, in this work an adaptive reclosing approach is proposed which will reclose the breaker immediately after the clearance of the fault condition instead of following the conventional setting. The current signal measured at the local end can be processed by the intrinsic time decomposition technique and the energy function of the first intrinsic mode function (IMF) provides accurate information about the fault clearance. By using such an index, adaptive reclosing is possible in a microgrid system. To verify the response of the proposed method, different standard microgrid system models such as distribution network located in Aalborg, Denmark and modified IEEE 13 bus distribution network with hybrid distributed generators (DG) and battery energy storage system (BESS) are considered and simulated using EMTDC/PSCAD software. Different fault cases, islanding condition and non-islanding cases are simulated to verify the response of the proposed technique.KeywordsAuto-reclosureAdaptive-reclosingIntrinsic time decompositionMicrogridFault clearance detection