Fotovoltaik Jeneratörler için OSA-CBM stratejisine dayalı Prognostik ve Teşhis Birleştirme Çerçevesi

Bu makale, fotovoltaik jeneratörler (PVG) için OSA-CBM'ye (Koşul Bazlı Bakım için Açık Sistem Mimarisi) dayalı bir prognostik ve tanısal birleştirme çerçevesi önermektedir. İlk olarak, bu çalışma bazı PVG performans bozulma çalışmalarını ve temel bozulma göstergelerini sunar. Edinim sisteminden kaynaklanan sapmaları ve hataları önlemek için Loess veri analizi yöntemiyle ilişkili bozulma göstergesi olarak Düzeltilmiş performans oranını (CPR) seçiyoruz. Ardından, teşhis ve prognostik süreçleri birleştirmenin ana yöntemleri açıklanır: Watch Dog, Teşhis Sistemlerinde Prognostik İyileştirmeler (PEDS), Entegre Öngörücü Bakım Sistemleri (SIMP) ve OSA-CBM. Yedi özel katmana sahip bu son strateji, her iki sürecin birlikte çalışmasına izin verir. İzleme sistemi, PVG'lerin sağlık göstergelerini sağlar ve sonuçlar insan operatöre iade edilir. CPR'nin yıllık azaltma oranı ve azaltma oranı (Rd), önerilen birleştirme çerçevesini kontrol etmemize izin verir. Bu yaklaşım, IEA PVPS Task13 veritabanından dört fotovoltaik kurulumda toplanan deneysel verilerle doğrulanmıştır.

Prognostic and diagnostic coupling framework based on osa-cbm strategy for photovoltaic generators

This article proposes a prognostic and diagnostic coupling framework based on the OSA-CBM (Open System Architecture forCondition Based Maintenance) for photovoltaic generators (PVG). At First, this work presents some PVGs performancedegradation studies and the main degradation indicators. We select the Corrected performance ratio (CPR) as degradation indicatorassociated with the Loess data analysis method to avoid aberrations and errors from acquisition system. Then, the main methodsof coupling diagnostic and prognostic processes are explained: Watch Dog, Prognostic Enhancements to Diagnosis Systems(PEDS), Integrated Predictive Maintenance Systems (SIMP) and OSA-CBM. This last strategy with its seven specialized layerspermits the interoperability of both processes. The monitoring system provides health indicators of PVGs and results are returnedto human operator. The annual reduction rate of the CPR and reduction rate (Rd), allows us controlling the proposed couplingframework. This approach is validated with experimental data collected on four photovoltaic installations from the IEA PVPSTask13 database.

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