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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 اصل مقاله (1.22 M) | ||
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. | ||
تازه های تحقیق | ||
- معرفی هوش مصنوعی و انواع روشهای یادگیری ماشین و یادگیری عمیق مورد استفاده در شبکه هوشمند برق. - بررسی روشهای مرسوم جهت آنالیز دادهها در شبکه برق و مقایسه با روشهای داده محور و بیان مزایا و معایب هر دسته. - ارائه دستهبندی روشهای یادگیری ماشین و یادگیری عمیق به تفکیک نوع یادگیری، قابل استفاده در شبکه هوشمند برق. - معرفی کلان داده، چرخه حیات و جایگاه آن در شبکه هوشمند برق و کاربردها. - بررسی چالشها و فرصتها در استفاده از کلانداده بهمنظور بالابردن بهرهوری در شبکه هوشمند برق. | ||
کلیدواژهها | ||
روشهای دادهمحور؛ شبکه هوشمند برق؛ یادگیری عمیق؛ کلانداده؛ یادگیری ماشین | ||
مراجع | ||
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