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Iranian Journal of Electrical and Electronic Engineering، جلد ۱۶، شماره ۴، صفحات ۵۲۴-۵۳۵
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عنوان انگلیسی An Intelligent Anti-Islanding Scheme for Synchronous-Based Distributed Generation Using Reduced-Noise Morphological Gradient
چکیده انگلیسی مقاله This paper presents a pattern recognition-based scheme for detection of islanding conditions in synchronous- based distributed generation (DG) systems. The main idea behind the proposed scheme is the use of spatial features of system parameters such as the frequency, magnitude of positive sequence voltage, etc. In this study, the system parameters sampled at the point of common coupling (PCC) were analyzed using reduced-noise morphological gradient (RNMG) tool, first. Then, the spatial features of the RNMG magnitudes were calculated. Next, to optimize and increase the ability of the proposed scheme for islanding detection, the best features with a much discriminating power were selected based on separability index (SI) calculation. Finally, to distinguish the islanding conditions from the other normal operation conditions, a support vector machine (SVM) classifier was trained based on the selected features. To investigate the power of the proposed scheme for islanding detection, the results of examinations on the various islanding conditions including system loading and grid operating state were presented.  These results show that the proposed algorithm reliably detect the islanding condition within 32.7 ms.
کلیدواژه‌های انگلیسی مقاله Reduced-Noise Morphological Gradient, Synchronous-Based Distributed Generation, Islanding Detection, Support Vector Machine, Separability Index.
نویسندگان مقاله | S. Shadpey
Faculty of Electrical and Computer Engineering, Jundi-Shapur University of Technology, Dezful, Iran.


| M. Sarlak
Faculty of Electrical and Computer Engineering, Jundi-Shapur University of Technology, Dezful, Iran.
نشانی اینترنتی http://ijeee.iust.ac.ir/browse.php?a_code=A-10-2027-1&slc_lang=en&sid=1
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زبان مقاله منتشر شده en
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نوع مقاله منتشر شده Research Paper
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