کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8071098 1521391 2018 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An effective statistical fault detection technique for grid connected photovoltaic systems based on an improved generalized likelihood ratio test
ترجمه فارسی عنوان
یک تکنیک تشخیص اشتباه آماری برای سیستم های فتوولتائیک متصل به شبکه مبتنی بر یک آزمون نسبت به کلیت عددی بهبود یافته است
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی (عمومی)
چکیده انگلیسی
This paper proposes an improved statistical failure detection technique for enhanced monitoring capabilities of PV systems. The proposed technique offers reduced false alarm and missed detection rates compared to the generalized likelihood ratio test (GLRT) by taking into consideration the nature variance of the GLRT statistics and applying a multiscale representation. The multiscale nature of the data provides better robustness to noises and better monitoring quality. The effectiveness of the proposed multiscale weighted GLRT (MS-WGLRT) method in detecting failures is evaluated using a set of synthetic and simulated PV data where the developed chart is used for detecting single and multiple failures (e.g., Bypass, Mix and Shading failures). Moreover, a set of real-data was used in order to prove the effectiveness of the proposed technique in detecting partial shading faults. All results show that the MS-WGLRT method offers better fault detection performances compared to the classical WGLRT and conventional GLRT charts.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy - Volume 159, 15 September 2018, Pages 842-856
نویسندگان
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