Abstract
In this paper, a novel signal processing approach based on phaselet algorithm is proposed to detect the islanding phenomenon. Phaselets can effectively compute the phasors over data windows that are not limited to an integer multiplication of a half-cycle. Thereby, they can obtain features of the islanded and non-islanded situations without injecting any disturbance or high frequency signal into the power system, which makes the proposed method more accurate and reliable because there are no power quality reduction problems. In the proposed approach, phaselet algorithm uses the variable filtering window capability in order to phasor estimation of the negative sequence components of the voltage and current waveforms. To evaluate the performance of the proposed technique, various islanding and non-islanding events have been implemented using a grid-connected PV system modeled in a MATLAB/Simulink environment, which are based on the UL-1741 and IEEE-1547 standards. The simulation results show that our approach is able to accurately distinct islanding incident from other power quality disturbances. The ability to detect islanding occurrence in less than two cycles even in the case of perfect power match, the zero non-detection zone (NDZ) and no power quality degradation are the main advantages of the proposed method.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call