یک مدل چندلایه‌ای برای مدیریت انرژی سیستم‌های چندریزشبکه‌ای ادغام شده با خانه‌های هوشمند و خودروهای الکتریکی
الموضوعات :
مهدی حق پرست
1
,
امیر احمری نژاد
2
,
احمد رضائی جوردهی
3
,
شهرام جوادی
4
,
محمود حسینی علی آبادی
5
1 - دانشکده فنی و مهندسی- واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران
2 - دانشکده فنی و مهندسی- واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران
3 - گروه مهندسی برق- واحد رشت، دانشگاه آزاد اسلامی، رشت، ایران
4 - دانشکده فنی و مهندسی- واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران
5 - دانشکده فنی و مهندسی- واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران
الکلمات المفتاحية: انرژی‌های تجدیدپذیر, بهینه‌سازی چندلایه‌ای, خانه‌های هوشمند, ریزشبکه, سرویس‌های انعطاف‌پذیری, وسایل نقلیه الکتریکی.,
ملخص المقالة :
در این مقاله یک استراتژی بهینه‌سازی سه‌لایه‌ای برای مدیریت انرژی سیستم توزیع فعال تحت نفوذ بالای منابع انرژی تجدیدپذیر بادی و خورشیدی معرفی شده است، که در آن ریزشبکه‌ها مسئول تأمین سرویس‌های انعطاف‌پذیری برای شبکه توزیع اصلی هستند. در استراتژی پیشنهادی، بهره‌برداران ریزشبکه‌ها سرویس‌های انعطاف‌پذیری را از طریق منابع تولید پراکنده، سیستم‌های ذخیره‌ساز الکتریکی، خانه‌های هوشمند و خودروهای الکتریکی تأمین می‌کنند. در لایه اول استراتژی پیشنهادی، خانه‌های هوشمند با در نظر گرفتن بازارهای انرژی و انعطاف‌پذیری برنامه‌ریزی شده و سپس برنامه نهایی خود را به بهره‌بردار ریزشبکه اعلام می‌کنند. در لایه دوم، ریزشبکه‌ها با توجه به برنامه‌های دریافتی از خانه‌های هوشمند، برنامه‌ریزی ناحیه خود را انجام داده و برنامه مشارکت خود در بازارهای انرژی و انعطاف‌پذیری را برای بهره‌بردار شبکه توزیع اصلی می‌فرستند. در نهایت، در لایه سوم، بهره‌بردار شبکه اصلی برنامه‌ریزی بازارهای انرژی و انعطاف‌پذیری را با توجه به برنامه‌های دریافتی از ریزشبکه‌ها انجام می‌دهد. استراتژی سه مرحله‌ای پیشنهادی به صورت یک مسئله برنامه‌ریزی خطی مختلط عدد صحیح مدل شده و توسط حل‌کننده CPLEX در نرم‌افزار گمز حل می‌شود. استراتژی بهینه‌سازی پیشنهادی بر روی چندین مورد مطالعاتی پیاده‌سازی شده و نتایج شبیه‌سازی نشان می‌دهند که این استراتژی به طور مؤثری توانسته ظرفیت‌های انعطاف‌پذیری مورد نیاز برای بهره‌برداری پایدار را از طریق منابع ارزان درون ریزشبکه‌ها تأمین کند و بدینوسیله هزینه‌های روزانه ریزشبکه‌ها و شبکه توزیع را به طور قابل توجهی کاهش دهد.
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