کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1552100 998166 2006 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Methodology for optimal sizing of stand-alone photovoltaic/wind-generator systems using genetic algorithms
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
پیش نمایش صفحه اول مقاله
Methodology for optimal sizing of stand-alone photovoltaic/wind-generator systems using genetic algorithms
چکیده انگلیسی

A methodology for optimal sizing of stand-alone PV/WG systems is presented. The purpose of the proposed methodology is to suggest, among a list of commercially available system devices, the optimal number and type of units ensuring that the 20-year round total system cost is minimized subject to the constraint that the load energy requirements are completely covered, resulting in zero load rejection. The 20-year round total system cost is equal to the sum of the respective components capital and maintenance costs. The cost (objective) function minimization is implemented using genetic algorithms, which, compared to conventional optimization methods such as dynamic programming and gradient techniques, have the ability to attain the global optimum with relative computational simplicity. The proposed method has been applied for the design of a power generation system which supplies a residential household. The simulation results verify that hybrid PV/WG systems feature lower system cost compared to the cases where either exclusively WG or exclusively PV sources are used.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Solar Energy - Volume 80, Issue 9, September 2006, Pages 1072–1088
نویسندگان
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