Abstract
A new active Q-f droop anti-islanding (AI) algorithm is proposed. The method is based on frequency and reactive power cross-correlation measures. The proposed control technique is intended to fulfill recent and future grid code requirements. The algorithm looks for a zero nondetection zone, adding low disturbances, working with long frequency excursions and nondependence of the power factor setpoint. The method was verified using a set of simulation models developed in PSCAD environment. The tests show results for several quality factors and different active power levels. In addition, a comparative analysis against other AI methods is presented. Experimental and simulation tests provide further insight on the controllers performance under different working conditions, considering several quality factors and active power levels. Moreover, its performance is assessed comparing the proposed controller behavior against state-of-the-art AI methods.
Published Version
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