یک چارچوب بهینه احتمالی جهت بهره‌برداری از سپهر‌های انرژی ادغام‌شده با بارهای پاسخگوی سرمایشی، حرارتی و الکتریکی و سیستم ذخیره‌ساز یخ توسط الگوریتم بهینه‌سازی خود-تطبیق کپک مخاطی بهبودیافته

الموضوعات :

محمد عمادی ¹ , حمید رضا مسرور ² , اسمعیل رک رک ³ , امین سامان فر ⁴

1 - گروه مهندسی برق، دانشکده مهندسی برق، واحد خرم آباد، دانشگاه آزاد اسلامی، خرم آباد، لرستان، ایران
2 - گروه مهندسی برق، دانشکده مهندسی برق، دانشگاه صنعتی شریف، تهران، ایران
3 - گروه مهندسی برق، دانشکده مهندسی برق، دانشگاه لرستان، خرم آباد، لرستان، ایران
4 - گروه مهندسی برق، دانشکده مهندسی برق، واحد خرم آباد، دانشگاه آزاد اسلامی، خرم آباد، لرستان، ایران

تاريخ الإرسال : 16 الأربعاء , ربيع الأول, 1444 تاريخ التأكيد : 25 الإثنين , جمادى الأولى, 1444 تاريخ الإصدار : 02 الإثنين , ذو القعدة, 1444

الکلمات المفتاحية: الگوریتم کپک مخاطی, روش تخمین نقطه‌ای, سپهر انرژی یکپارچه, تولید چند انرژی, مدیریت تصادفی سپهر انرژی,

ملخص المقالة :

به دنبال گسترش استفاده از سپهرهای چند حاملی انرژی در صنایع، این مقاله یک چارچوب تصادفی جامع جهت مدیریت بهینه و برنامه‌ریزی روزانه یک سپهر انرژی ادغام‌شده با منابع انرژی تجدید پذیر و بارهای پاسخگوی سرمایشی، حرارتی و الکتریکی و سیستم ذخیره‌ساز یخ ارائه می‌دهد. برای حل این چالش، از روش تخمین نقطه‌ای2m+1 جهت ارزیابی دقیق عدم قطعیت‌های سیستم با پیچیدگی محاسباتی کم استفاده می‌شود. روش تخمین نقطه‌ای2m+1 یک روش تحلیل عدم قطعیت سریع بر اساس سری تیلور است. در این روش عدم قطعیت منابع انرژی تجدید پذیر و بارهای الکتریکی و حرارتی سپهر انرژی و همچنین قیمت مبادله با شبکه‌های مختلف توزیع انرژی بالادستی در نظر گرفته‌شده است. این مقاله همچنین یک روش بهینه‌سازی خود-تطبیق جدید به نام الگوریتم بهینه‌سازی خود-تطبیق بهبودیافته کپک مخاطی (SMSMA) را جهت حل مسئله پیچیده غیرخطی برنامه‌ریزی بهینه روزانه یک سپهر انرژی ارائه می‌دهد. روش خود-تطبیق بهبودیافته شده بر مبنای تئوری موجک است که قابلیت و توانایی الگوریتم اصلی کپک مخاطی را جهت حل مسئله برنامه‌ریزی بهینه روزانه یک سپهر انرژی یکپارچه بهبود می‌بخشد. نتایج عددی نشان می‌دهد که چارچوب برنامه‌ریزی تصادفی روزانه پیشنهادی، همراه با الگوریتم بهینه‌سازی SMSMA پیشنهادی، هزینه‌های بهره‌برداری سپهر انرژی را کاهش می‌دهد.

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