کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10293849 512437 2016 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Maiden application of Cuckoo Search algorithm for optimal sizing of a remote hybrid renewable energy System
ترجمه فارسی عنوان
کاربرد دوشیزه از الگوریتم جستجوی کوکو برای اندازه گیری بهینه از یک سیستم انرژی تجدید پذیر ترکیبی از راه دور
کلمات کلیدی
سیستم انرژی ترکیبی جستجوی کوکنار، الگوریتم ژنتیک، بهینه سازی ذرات ذرات، نرخ خلع سلاح ژنراتور توربین بادی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی
Solar and wind power based hybrid energy system with energy storage unit provides a reliable and cost effective energy alternative above the conventional diesel generator based system commonly used by remote consumers. In this context, this paper explores the application of a new meta-heuristic algorithm called Cuckoo Search (CS) in the area of a hybrid energy system design problem. Cuckoo Search (CS) is applied for optimal sizing of three different system schemes viz. Photovoltaic-Battery, Wind-Battery and Photovoltaic-Wind-Battery system applicable to a remote area located in Almora district of Uttarakhand, India while minimizing total system cost and considering seasonal variation of load. The effectiveness of Cuckoo Search algorithm in solving hybrid energy system design problem is investigated and its performance is compared with other well known optimization algorithms like Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithm. Optimization results further, shows that hybrid integration of photovoltaic, wind and battery storage gives most reliable and economical system scheme for the study area. In addition, this paper assesses the effect of wind turbine generator (WTG) force outage rate (FOR) on the optimal system reliability and economics.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Renewable Energy - Volume 96, Part A, October 2016, Pages 1-10
نویسندگان
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