کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1549383 1513086 2016 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An algorithm for elimination of partial shading effect based on a Theory of Reference PV String
ترجمه فارسی عنوان
یک الگوریتم برای حذف اثر سایه ای جزئی بر اساس نظریه رشته پیوند مرجع
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی


• A new MPPT control strategy is proposed for ‘converter-per-module’ approach.
• The method relies on artificial equivalent of the shaded PV string.
• A real-time PV system simulator is developed using MATLAB/Simulink package.
• The results of MPPT algorithm testing in real-time simulator are analysed.
• Mutual interaction problem is reduced with MPPT efficiency improvements.

An innovative approach to the analysis of partial shading effect (PSE), in the case of PV string systems, is presented in the paper. In order to eliminate PSE and successfully achieve maximum PV string power under partial shading condition (PSC), a new theoretical concept, named ‘Theory of Reference PV String’, has been developed and applied to conventional approach, based on the usage of module integrated converters (MICs). The new maximum power point tracking (MPPT) control strategy proved to be efficient and less influenced by mutual interaction (MI) of individual MPPT algorithms, at PV module level. Simplicity of the conventional MPPT control strategy, based on string current control has been preserved and even improved. By using MATLAB/Simulink software package, the model of PV string with MICs has been created. Real-time PSE elimination system with algorithm based on the proposed MPPT control strategy has been introduced and tested. The most important testing results, based on several study cases, have been presented and considered. The proposed algorithm proved to be very efficient in achieving MPP under real-time variable irradiation condition. All advantages of the new algorithm have been verified through simulations.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Solar Energy - Volume 132, July 2016, Pages 51–63
نویسندگان
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