Abstract




 
   

IJE TRANSACTIONS A: Basics Vol. 30, No. 10 (October 2017) 1555-1564    Article in Press

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  TECHNO-ECONOMIC OPTIMIZATION OF A STAND-ALONE PHOTOVOLTAIC-BATTERY RENEWABLE ENERGY SYSTEM FOR LOW LOAD FACTOR SITUATION- A COMPARISON BETWEEN OPTIMIZATION ALGORITHMS
 
A. Kumar and A. Biswas
 
( Received: September 12, 2016 – Accepted in Revised Form: July 07, 2017 )
 
 

Abstract    For remote places having less-strong wind, single resources based renewable energy system (RES) with battery storage can sustainably and economically generate electrical energy. There is hardly any literature on optimal sizing of such RES for very low load demand situation. The objective of this study is to techno-economically optimize the system design of a Photovoltaic (PV)-battery storage RES for an institutional academic block in Silchar, India having maximum demand less than only 30 kW. The sizing process of various subsystems of the RES is first discussed. Then the RES is techno-economically optimized under 100% reliability to power supply condition, i.e. 0% unmeet energy (UE) and least excess energy. In this, performances of three different optimization algorithms- genetic algorithm (GA) and two meta-heuristics, namely Firefly Algorithm (FA) and Grey Wolf Optimizer (GWO) algorithms are investigated and compared. The optimal configuration under least levelized cost of energy (COE) is further examined. Results demonstrate that GWO is the best optimization tool for optimizing the cost of energy (COE) in comparison with the other optimization algorithms. It has been shown that a single optimization method might not always guarantee that the objective function has converged successfully in fulfilling all the requirements of least excess energy, autonomy days, and least COE. The present research provides a useful reference for the design optimization of single resource based RES for low load demand situation.

 

Keywords    Photovoltaic (PV) renewable energy system, levelized cost of energy, reliability, cost optimization, load factor, autonomy days

 

چکیده    برای مکان­های دور با بادهای ضعیف­تر، سیستم انرژی تجدید پذیر با منابع ذخیره­ی باتری، می­توان انرژی پایدار و اقتصادی تولید کرد. تقریباً هیچ سابقه­ی پژوهشی برای اندازه گیری مطلوب چنین سیستم­هایی برای شرایط تقاضای بسیار کم در منابع وجود ندارد. هدف از این مطالعه، بهینه سازی فنی سیستم طراحی مجتمع ذخیره سازی فتوولتائیک (PV) برای یک بلوک علمی دانشگاهی در سیلچار (Silchar) هند با حداکثر تقاضای کمتر از 30 کیلووات است. ابتدا در مورد فرایند اندازه گیری زیرسیستم­های مختلف بحث کرده و سپس آن را از نظر فنی به 100٪ قابلیت اطمینان برای وضعیت ذخیره انرژی، یعنی انرژی و حداقل انرژی اضافی، بهینه می­کنیم. در این کار، عمل­کرد سه الگوریتم بهینه­سازی مختلف یعنی الگوریتم ژنتیک (GA) و دو آلگوریتم فراابتکاری، یعنی الگوریتم پروانه­ی شب­تاب (FA) و الگوریتم بهینه­ساز گرگ خاکستری (GWO) بررسی و مقایسه می­شود. پیکربندی بهینه با کمترین هزینه­ی انرژی (COE) بیشتر بررسی می­شود. نتایج نشان می­دهد که GWO بهترین ابزار برای بهینه سازی هزینه­ی انرژی در مقایسه با سایر الگوریتم­هاست. نشان داده شده است که یک روش بهینه سازی به­تنهایی ممکن است همیشه نتواند تضمین کند که تابع هدف با موفقیت در برآوردن تمام الزامات حداقل انرژی اضافی روزهای مستقل و حداقل COE هم­گرا شده است. پژوهش حاضر مرجع مفیدي براي طراحي بهينه سازي سیستم انرژی تجدید پذیر مبتني بر ذخیره­سازی براي وضعيت تقاضاي کم به دست می­دهد.

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