دوره 22، شماره 3 - ( مجله مهندسی برق و الکترونیک ایران - جلد 22 شماره 3 1404 )
جلد 22 شماره 3 صفحات 202-193 |
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abedini A, rashidi B, CHARMAHALI I. A novel algorithm for tracking power in solar cells based on neural network trained with multi verse optimization algorithm. Journal of Iranian Association of Electrical and Electronics Engineers 2025; 22 (3) :193-202
URL: http://jiaeee.com/article-1-1683-fa.html
URL: http://jiaeee.com/article-1-1683-fa.html
عابدینی محمد، رشیدی بهرام، چهارمحالی ایمان. ارائه الگوریتم جدیدی جهت ردیابی توان در سلولهای خورشیدی بر پایه شبکه عصبی آموزش داده شده با الگوریتم بهینهسازی چند نظمی. نشریه مهندسی برق و الکترونیک ایران. 1404; 22 (3) :193-202
دانشکده فنی و مهندسی، گروه برق، دانشگاه آیت اله بروجردی، بروجرد
چکیده: (1468 مشاهده)
سیستم های خورشیدی برای استخراج حداکثر توان قابل تحویل به بار هنگام تغییر شرایط آب و هوایی نیازمند به تحویل ماکزیمم ولتاژ پنل خروجی خود دارند. یعنی باید اطمینان حاصل شود که نقطه بهره برداری از پنل نزدیک به مقدار حداکثر است . از این رو در این مقاله از یک روش جدید ردیابی توان استفاده شده است که برپایه ترکیب شبکه های عصبی و یک الگوریتم فراابتکاری به نام بهینه سازی چند نظمی می باشد تا بتواند بر مشکلات روش های مرسوم ناشی از کند بودن در پاسخ گویی به تغییرات دما و تابش غلبه نماید. بنابراین سعی شده است تا با روش آموزش جدید برپایه الگوریتم فرا ابتکاری وزن های شبکه عصبی را به نحوی آموزش داد تا در صورت هر تغییری در دما و یا تابش کنترل کننده به سرعت به این تغییرات پاسخ دهد. برای نمایش دادن کارایی از روش پیشنهادی در انتها نتایج با روش های مرسوم و شبکه عصبی که وزن های آن بهینه نشده است در سناریوهای مختلف مقایسه می گردد که نشان از سرعت بالاتر و فراهم آوردن توان بیشتری در خروجی با حداقل نوسانات خواهد بود.
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