نوع مقاله: مقاله پژوهشی

نویسندگان

1 کارشناس ارشد مهندسی مکانیک دانشگاه آزاد اسلامی واحد نور

2 استادیار مهندسی مکانیک، دانشکده مهندسی، دانشگاه مازندران

چکیده

افزایش توان تولیدی و بازدهی انرژی برای توربین بادی با بهینه سازی سرعت های شروع چرخش، نامی و خاتمه ی چرخش توسط الگوریتم گروهی مورچه ها هدف نهایی در این مقاله می باشد. در این مقاله ابتدا به مدلسازی ریاضی توربین بادی پرداخته شده و در نهایت تابع هدف بدست می آید. سپس با گرد آوری داده های آماری توربین مذکور توسط کد کامپیوتری شبکه عصبی، توربین بادی در نرم افزار متلب مدل سازی شده و نتایج آن بصورت جداول و دیاگرام هایی ارائه می گردد. با بررسی نتایج بهینه سازی توسط الگوریتم مورچگان و مقایسه نتایج بدست آمده با نتایج تحقیقات در مقاله تحلیل اگزرژی توربین بادی و همچنین مقاله تحلیل اگزرژی و بهینه سازی توربین باد توسط الگوریتم ژنتیک و الگوریتم جستجو که توربین مذکور را بهینه سازی نموده اند، در نهایت افزایش 63/65 درصدی در توان خروجی و 54/61 درصد افزایش در بازدهی انرژی در الگوریتم مورچگان مشاهده گردید.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Energy analysis and optimization of wind turbines by Ant colony optimization algorithm in efficiency and power output

نویسندگان [English]

  • R Yazdanparast 1
  • N Kordani 2

1 Department Of Mechanical Engineering, Nour Azad University, Nour, Iran.

چکیده [English]

A theorical method is presented to analyse a way to increase generated power and energy efficiency in wind turbine by optimizing the Cut-in, Rated, Furling speeds by the ant colony algorithm. In this paper, we first discuss the wind turbine math modeling, which ultimately achieves the objective function. Then, by collecting the turbine statistical data, the computerized code of the neural network, wind turbine is modeled in MATLAB software and its results are presented as tables and diagrams. By examining the results of optimization by ant colony algorithm and comparing the data with the results of the research in the article on exergy analysis of wind turbines and Also the paper that describes the exergy analysis and optimization of wind turbines by genetic algorithm and searching algorithm optimizing the turbine, Finally, 65.63% increase in output power and 61.54% increase in energy efficiency was observed in the ant algorithm.

کلیدواژه‌ها [English]

  • Output power
  • Wind Turbine
  • Energy Efficiency
  • ant colony algorithm

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Website

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