For isolation, the anti-islanding approaches sense the power system’s abnormal condition and provide the trip signal to the circuit breaker for disconnecting the microgrid as a utility grid. The DGs must be equipped with superior Anti-Islanding Methods (AIM) as per IEEE Std 929-2000 and IEEE Std 1547-2003 for guarding the utility and DG and against switching, transients and dangers. These generations use wind energy, solar energy and fuel cells. In power systems, renewable energy-dependent DGs are utilized for cost-effective and superior environmental performance. The voltage unbalance factor determined by the proposed method is very close to the actual value in all types of unbalance conditions. Consequently, the simulation outcome indicates that the proposed technique effectively identifies the islanding condition with less computation time as 1 s and the performance of the proposed relay is compared with existing 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. The Non-Detection Zone (NDZ) of this ASCOV relay is very low compared to other relays. ASCOV relay does not generate the trip signal in a non-islanding situation such as linear load switching and nonlinear load switching. 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.
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. 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.
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