دانلود DC-side fault detection for photovoltaic energy conversion system using fractional-order dynamic-error-based fuzzy Petri net integrated with intelligent meters

ترجمه فارسی DC-side fault detection for photovoltaic energy conversion system using fractional-order dynamic-error-based fuzzy Petri net integrated with intelligent meters
قیمت : 315,000 ریال
شناسه محصول : 2008769
نویسنده/ناشر/نام مجله : Renewable Power Generation
سال انتشار: 2016
تعداد صفحات انگليسي : 10
نوع فایل های ضمیمه : pdf+word
حجم فایل : 5 Mb
کلمه عبور همه فایلها : www.daneshgahi.com
عنوان انگليسي : DC-side fault detection for photovoltaic energy conversion system using fractional-order dynamic-error-based fuzzy Petri net integrated with intelligent meters

چکیده

Abstract

Fault  occurrence  or  voltage  disturbance,  such  as  mismatch  operations  or  electrical  faults  caused  by  structural changes in photovoltaic (PV) panels, local/remote faults, or heavy load operation, can disturb a PV energy conversion system (PVECS)  on  both  the  DC  and  AC  sides.  On  the  AC  side,  any  serious  disturbance  can  be  isolated  using  power  fuses, overcurrent protection and ground-fault protection devices. Therefore, the authors propose the use of fractional-order dynamic-error-based fuzzy Petri net (FPN) to detect disturbance events in a microdistribution system. PV energy conversion depends on solar radiation and temperature, and a maximum power point tracking control is used to maintain stable output power and voltage to microdistribution loads. When the desired maximum power is estimated, a bisection approach algorithm is used to regulate the output voltage of the PVECS by adjusting the duty ratios of a buck–boost converter. The maximum power drops, which are compared with meter-reading power from intelligent meters, are used to detect faults on the DC side. Then, fractional-order dynamic errors between the desired and estimated powers and a FPN are employed to detect faults. For a small-scale PVECS, computer simulations are conducted to show the effectiveness of the proposed model.

Keywords: maximum power point trackers photovoltaic power systems overcurrent protection smart meters
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