Dr.V.Arivumani

Abstract: Islanding detection is a way of protecting the renewable energy integrated Microgrid from the power grid network during abnormal conditions like hazards, faults, etc. Various islanding detection methods (Passive, Active, Hybrid and Remote methods) are implemented with new technologies to protect renewable energy-powered Microgrids integrated with the power grid network. However, among these methods, Passive methods are preferred and reported in most of the literature due to their known feasibility. These methods are straightforward to model with few processing elements, fewer computational requirements, and faster detection of islanding events without affecting the power quality. Yet, these methods have larger NonDetection Zone (NDZ) in which the islanding is not performed for minor power mismatches. Other than a voltage-frequency relay, most practices have less NDZ but more interrupted tripping, affecting the Microgrid's equipment. In this research, islanding detection i

This article examines how an innovative Angular Symmetrical Components of Voltages be applied to islanding detection and voltage unbalance factor estimation at a photovoltaic inverter-based distribution unit. Positive and Negative Sequence Components are converted into a polar form such as Line Aggregate RMS (LARMS) Voltage and Tangent Angle of Unbalance (TAU) which are determined from two line voltage signals. Three voltage relays are replaced with a single relay which compares the LARMS voltage and TAU with threshold limits to identify the condition of balance. ASCOV relay does not generate the trip signal in a non-islanding situation such as linear load switching and nonlinear load switching. The Non-Detection Zone (NDZ) of this ASCOV relay is very low compared to other relays. The proposed anti-islanding method is tested in a SPV powered microgrid using MATLAB/SIMULINK and the performance was studied under islanding and non-islanding events. Consequently, the simulation outcome ind