دوره 17، شماره 3 - ( مجله کنترل، جلد 17، شماره 3، پاییز 1402 )
جلد 17 شماره 3,1402 صفحات 65-55 |
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Karkhaneh M, Ozgoli S. A Note on the Practical Efficiency of Using Wavelet Transform for Short-term Load Forecasting in Smart Grids. JoC 2023; 17 (3) :55-65
URL: http://joc.kntu.ac.ir/article-1-1035-fa.html
URL: http://joc.kntu.ac.ir/article-1-1035-fa.html
کارخانه محمد، ازگلی سجاد. یادداشتی در مورد کارایی عملی استفاده از تبدیل موجک در زمینه ی پیش بینی بار کوتاه مدت در شبکه های هوشمند. مجله کنترل. 1402; 17 (3) :55-65
محمد کارخانه1 
، سجاد ازگلی*2
، سجاد ازگلی*2
1- گروه مهندسی برق و کامپیوتر، دانشگاه تربیت مدرس، تهران، ایران
2- گروه مهندسی برق و کامپیوتر، دانشکده مهندسی برق و کامپیوتر، دانشگاه تربیت مدرس، تهران، ایران
2- گروه مهندسی برق و کامپیوتر، دانشکده مهندسی برق و کامپیوتر، دانشگاه تربیت مدرس، تهران، ایران
چکیده: (1237 مشاهده)
در عصر شبکه هوشمند، پیش‌بینی بار الکتریکی جزء بسیار مهمی از یک سیستم قدرت امن، قابل اعتماد و اقتصادی محسوب می-گردد. به همین علت بسیاری از محققان زمان زیادی را صرف بررسی روش‌های مختلف برای بهبود دقت پیش‌بینی بار کرده‌اند. در این خصوص یکی از روش‌های پرکاربرد در سال های اخیر، تجزیه سری‌های بار به اجزای فرکانس بالا و فرکانس پایین با استفاده از تبدیل موجک می باشد که طبق گزارش‌ها نتایج چشمگیری را در برخی مقالات نشان داده است. در این مقاله با انجام چندین شبیه‌سازی نشان داده شده است که علیرغم برخی از مزایای تبدیل موجک، این روش می تواند نتایج غیرواقعی را به دلیل مشکل اعوجاج مرزی ایجاد کند. در واقع این مقاله کارایی عملی تبدیل موجک در زمینه ی پیش‌بینی بار را از دیدگاه اپراتور سیستمی که هر روز در حال پیش‌بینی پروفیل بار الکتریکی روز بعد است، بررسی می نماید. در این راستا از مدل‌های رگرسیون خطی چندگانه (MLR) و شبکه عصبی مصنوعی (ANN) به همراه تبدیل موجک برای انجام آزمایش‌هایی بر روی مجموعه داده بار الکتریکی شهر نیویورک استفاده شده است.
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