研究目的
To present a novel and efficient passive islanding detection technique for grid-connected photovoltaic-based inverters that monitors the ripple content of the inverter output voltage at the point of common coupling for deviations using time-domain spectral analysis.
研究成果
The proposed passive islanding detection technique successfully detected islanding for all tested cases, including the worst-case scenario of zero percent power mismatch, and distinguished islanding from non-islanding events. It is computationally inexpensive, easily implementable into a PV inverter, and operates within the IEEE 1547 standards' required detection time.
研究不足
The technique exhibited false islanding detection during the starting of induction motors rated above 300 HP. The delay threshold was not increased to maintain fast islanding detection, which limits its application for higher motor ratings.
1:Experimental Design and Method Selection:
The technique monitors the ripple content of the inverter output voltage at the point of common coupling (PCC) using time-domain spectral analysis. Islanding is detected when the ripple spectral content exceeds a preset threshold level for a certain period of time.
2:Sample Selection and Data Sources:
The performance of the technique was tested under a wide range of operating conditions, including various islanding and non-islanding scenarios.
3:List of Experimental Equipment and Materials:
A grid-connected PV system model consisting of PV panels, a DC-DC boost converter, and a 3-phase inverter connected to the utility grid through a matching transformer was used.
4:Experimental Procedures and Operational Workflow:
The ripple content of the PCC voltage was monitored, and islanding was detected based on deviations in the ripple spectral content. The technique was implemented within the PV-based inverter.
5:Data Analysis Methods:
The ripple content was analyzed using time-domain spectral analysis, and islanding was detected when the content exceeded a threshold for a specified time.
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