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

روش‌های هوشمند در صنعت برق

مقاله 9، دوره 15، شماره 57، خرداد 1403، صفحه 133-162   

نوع مقاله: مقاله مروری

نویسندگان

خالق بهروز دهکردی¹؛ هما موحدنژاد^{* 1}؛ مهدی شریفی²

¹دانشکده مهندسی کامپیوتر- واحد نجف آباد، دانشگاه آزاد اسلامی، نجف آباد، ایران

²مرکز تحقیقات کلان داده- واحد نجف آباد، دانشگاه آزاد اسلامی، نجف آباد، ایران

چکیده

امروزه شبکه برق به­طور چشم­گیری در حال تبدیل شدن به شبکه هوشمند (SG)، به عنوان یک چشم­انداز امیدوارکننده برای برخورداری از قابلیت اطمینان بالا و مدیریت کارآمد انرژی است. این انتقال به­طور پیوسته در حال تغییر است و نیازمند روش­های پیشرفته­ برای پردازش کلان داده­های تولید شده از بخش­های مختلف است. روش­های هوش مصنوعی می­توانند از طریق استخراج اطلاعات ارزشمند که توسط دستگاه­های اندازه­گیری و سنسور­های موجود در شبکه تولید می­شوند خدمات مبتنی بر داده را ارائه نمایند. به این منظور روش­های یادگیری ماشین، یادگیری عمیق، یادگیری تقویتی و یادگیری عمیق تقویتی می­توانند به­کار گرفته شوند. این روش­ها می­توانند حجم زیادی از داده­های جمع­آوری شده را پردازش نموده و راه­حل مناسبی برای مشکلات پیچیده صنعت برق ارائه نمایند. از این­رو در این مقاله آخرین رویکرد­های مبتنی بر هوش مصنوعی مورد استفاده در شبکه هوشمند برق برای کاربرد­ها و منابع داده به­طور جامع بررسی شده است. همچنین نقش کلان­داده در شبکه هوشمند برق و ویژگی­های آن از جمله چرخه حیات کلان­داده و رویکردهای موثر آن مانند پیشگویی، تعمیرات قابل پیش­بینی و تشخیص خطا در صنعت برق بیان می­شود.

کلیدواژه‌ها

روش‌های داده‌محور؛ شبکه هوشمند برق؛ یادگیری عمیق؛ کلان‌داده؛ یادگیری ماشین

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