Autonomous Active Grid islanding and DGs outage detection in a $\mu \mathrm{G}$ utilizing Goertzel Algorithm in collaboration with Fuzzy Inferencing System

Microgrid enables harvesting of locally available renewable energy sources and deliver it to nearby load efficiently, for which it is mandated to work effectively without failure both in presence and in absence of grid. To ascertain its reliability and robustness, it requires fast and efficient islanding detection and information of available distributed generations (DGs) in connection to device seamless transition from grid - tied mode to islanded mode and vice - versa. The paper proposes Goertzel based active islanding detection technique by incorporating fuzzy logic based inferencing system for effective embedding of control of DGs for better planning and higher efficiency of energy generation without using any communication system. The simulation results presented in the paper demonstrate the efficacy of the proposed method and inferencing system to detect both grid islanding and status of the outage of individual DGs in the microgrid without compromising on the power quality.