Islanding detection for PV and DFIG using decision tree and AdaBoost algorithm
作者： Seyed Sohail Madani , Ali Abbaspour , Mojtaba Beiraghi , Payam Zamani Dehkordi , Ali Mohammad Ranjbar
DOI: 10.1109/ISGTEUROPE.2012.6465818
关键词:
摘要: Under smart grid environment, islanding detection plays an important role in reliable operation of distributed generation (DG) units. In this paper intelligent-based algorithm for PV and DFIG units is proposed. Decision tree used to classify instances. This rapid, simple, intelligible easy interpret. The error rate method reduced by Adaptive Boosting (AdaBoost) technique. proposed tested on a distribution system including PV, synchronous generator. Probable events the are simulated under diverse operating states generate classification data set. First second order derivatives locally measured electrical parameters construction 16-dimensional results indicate that Adaboost technique yields improved accuracy. capable detecting phenomenon with negligible power mismatch.
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