کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6904462 862804 2016 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A novel hybrid MOL-TLBO optimized techno-economic-socio analysis of renewable energy mix in island mode
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
A novel hybrid MOL-TLBO optimized techno-economic-socio analysis of renewable energy mix in island mode
چکیده انگلیسی
In this paper, a novel hybrid many optimizing liaisons (MOL) and teaching-learning based optimization (TLBO) i.e. MOL-TLBO based optimization of integrated hybrid renewable energy sources (IHRES) is proposed for techno-economic-socio analysis. IHRES consists of PV, wind turbine, battery storage banks and diesel generator. The methodology was constructed by using meteorological data from Renewable Energy Laboratory of electrical engineering department, MANIT, Bhopal situated in Madhya Pradesh, India. Optimal sizing of IHRES is done on the basis of solar irradiation, wind speed, demand load, reliability index, loss of load probability (LOLP) and CO2 emission through diesel generator. Three different crystalline silicon PV modules are considered: ASE-300(mi-Si based EFG), Kyocera-120(mc-Si based wafer) and Astro-Power AP-120(thin-film Si). Results show that AP-120 gives better result as compared with other two for PV-wind-battery-DG combination. Annual cost of the system (ACS) is evaluated by using the proposed hybrid MOL and TLBO (MOL-TLBO) algorithm. Supremacy of the suggested MOL-TLBO hybrid method for optimal sizing of hybrid system is proved by comparing the results with other optimization techniques i.e. TLBO, ITLBO, PSO, MOL and SGA. Finally it is seen that MOL-TLBO based techno-economic-socio analysis for IHRES exhibit superior performance and fast as compared to SGA, PSO, TLBO, ITLBO and MOL.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Soft Computing - Volume 43, June 2016, Pages 187-198
نویسندگان
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