مروری جامع بر روش های داده محور در شبکه های هوشمند برق

الموضوعات :

خالق بهروز دهکردی ¹ (دانشکده مهندسی کامپیوتر- واحد نجف آباد، دانشگاه آزاد اسلامی، نجف آباد، ایران)
هما موحدنژاد ² (دانشکده مهندسی کامپیوتر- واحد نجف آباد، دانشگاه آزاد اسلامی، نجف آباد، ایران)
مهدی شریفی ³ (مرکز تحقیقات کلان داده- واحد نجف آباد، دانشگاه آزاد اسلامی، نجف آباد، ایران)

تاريخ الإرسال : 06 الجمعة , جمادى الأولى, 1443 تاريخ التأكيد : 02 الثلاثاء , شوال, 1443 تاريخ الإصدار : 02 الثلاثاء , شوال, 1443

الکلمات المفتاحية: یادگیری عمیق, شبکه هوشمند برق, یادگیری ماشین, روش‌های داده‌محور, کلان‌داده,

ملخص المقالة :

امروزه شبکه برق به طور چشم گیری در حال تبدیل شدن به شبکه هوشمند (SG)، به عنوان یک چشم انداز امیدوارکننده برای برخورداری از قابلیت اطمینان بالا و مدیریت کارآمد انرژی است. این انتقال به طور پیوسته در حال تغییر است و نیازمند روش های پیشرفته برای پردازش کلان داده های تولید شده از بخش های مختلف است. روش های هوش مصنوعی می توانند از طریق استخراج اطلاعات ارزشمند که توسط دستگاه های اندازه گیری و سنسور های موجود در شبکه تولید می شوند خدمات مبتنی بر داده را ارائه نمایند. به این منظور روش های یادگیری ماشین، یادگیری عمیق، یادگیری تقویتی و یادگیری عمیق تقویتی می توانند به کار گرفته شوند. این روش ها می توانند حجم زیادی از داده های جمع آوری شده را پردازش نموده و راه حل مناسبی برای مشکلات پیچیده صنعت برق ارائه نمایند. از این رو در این مقاله آخرین رویکرد های مبتنی بر هوش مصنوعی مورد استفاده در شبکه هوشمند برق برای کاربرد ها و منابع داده به طور جامع بررسی شده است. همچنین نقش کلان داده در شبکه هوشمند برق و ویژگی های آن از جمله چرخه حیات کلان داده و رویکردهای موثر آن مانند پیشگویی، تعمیرات قابل پیش بینی و تشخیص خطا در صنعت برق بیان می شود.

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