Multi-term islanding protection and load priority-based optimal shedding framework for maintain voltage stability loadability in microgrid system

High dependability, efficiency and low carbon emissions are just a few of the many potential environmental advantages of distributed generation (DG), which is used widely. Accurate islanding detection and quick DG disconnection were crucial to avoid safety concerns and equipment damage brought on by the island mode actions of DGs. Several researchers concentrate on island detection and load scheduling separately. The proposed work focused on islanding detection and load shedding during an island condition. A sophisticated, intelligent mode detection controller detected the system circumstance, and an intelligent shedding controlled the optimal load shedding. The proposed model used a standard IEEE 30-bus system with voltage and current parameters sensed by sensors and given inputs to the intelligent mode detection controller. If the island condition was predicted to move on load scheduling or normal condition was predicted, electricity continued to the utility grid and fulfilled the consumer's required power. The load shedding working process includes system design, data collection and the creation of efficient load scheduling. Maintain steady voltage stability margin throughout that time to complete that priority-based shedding depending on the power generation and its accompanying load restriction. The proposed method was tested for two operating modes, namely detection of islanding modes and load shedding. The proposed approach provides better results in both modes and maintains voltage stability across the entire time period. The proposed method offered a better accuracy of 99% for islanding detection mode when the results were contrasted with those from several other existing methods to validate the performance. As a result, it can be demonstrated that the suggested approach offers better islanding detection performance as well as load shedding with a constant voltage stability margin.