مدیریت انرژی خانههای هوشمند مبتنی بر یادگیری تقویتی چندعامله با لحاظ مشارکت همزمان در بازارهای انرژی و انعطافپذیری
الموضوعات : مهندسی برق و کامپیوتر
پیمان مادح خاکسار
1
,
سید حامد دلخوش
2
1 - گروه قدرت، دانشکده مهندسی برق و کامپیوتر، دانشگاه تربیت مدرس، تهران، ایران
2 - گروه قدرت، دانشکده مهندسی برق و کامپیوتر، دانشگاه تربیت مدرس، تهران، ایران
الکلمات المفتاحية: مدیریت انرژی, خانههای هوشمند, بازار برق, انعطافپذیری, یادگیری تقویتی چندعامله,
ملخص المقالة :
توسعه تولیدات تجدیدپذیر و بکارگیری مدیریت تقاضا در شبکههای پاییندست برق، بهعنوان راهحلهایی کلیدی جهت رفع معضلات پیشروی شبکههای قدرت آینده مورد توجه است. همچنین گسترش روندهای تمرکززدایی و دیجیتالیشدن، جایگاه مدیریت انرژی بهینه مبتنی بر رویکردهای نوین محاسباتی را در خانههای هوشمند (متشکل از تجهیزات تولید، مصرف و ذخیرهسازی) برجسته نموده است. این مقاله، یک سیستم مدیریت انرژی برای خانه هوشمندی متشکل از وسایل (سه نوع توان ثابت، با قابلیت جابجایی زمانی و توان متغیر) و تولید پراکنده تجدیدپذیر (پنل خورشیدی) پیشنهاد داده است. این سیستم، تولید و قیمت بازار را از ابزار پیشبینی مبتنی بر شبکه عصبی دریافت کرده و برنامه بهینه روزانه را با استفاده از یادگیری تقویتی چندعامله (روش حل یادگیری Q) به دست میآورد. مهمترین وجه نوآورانه مدل ارائهشده امکان مشارکت همزمان خانه در بازارهای انرژی و انعطافپذیری است که از منظر کسب سود میتوانند همسو یا خلاف سو باشند. در این مدل، عوامل پیچیدهکننده رضایت کاربر (آسایش در بهرهمندی از وسایل) و الزامات محدودکننده بالادستی (قطع تولید موردنیاز بهرهبردار) نیز لحاظ شده است. صحت و اثربخشی روش پیشنهادی، از طریق پیادهسازی در نرمافزار پایتون، شبیهسازی سناریوهای متنوع و تحلیل حساسیت نسبت به پارامترهای کلیدی نشان داده شده است.
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