منابع تولید پراکنده تجدید پذیر با لحاظ عدم قطعیت
محورهای موضوعی : علوم زیست محیطی
مهدی دستخوان
1
(دانشگاه فنی و حرفه ای پسران یاسوج)
علی دوست رستمی زاده
2
(دانشگاه فنی و حرفه ای پسران یاسوج)
کلید واژه: منابع تولید, محیط‌زیست, تجدید پذیر , دستگاه‌های قدرت, فتوولتاییک,
چکیده مقاله :
امروزه بیشتر انرژی برق موردنیاز کشورها با استفاده از سوخت‌های فسیلی تأمین می‌گردد. با توجه به این امر که انرژی‌های فسیلی تجدید ناپذیر می‌باشند و آلودگی‌های زیست‌محیطی را به همراه خواهند داشت، استفاده از منابع تجدید پذیر برای تأمین انرژی الکتریسیته امری ضروری می‌باشد. در بسیاری از مطالعات انجام شده تابه‌حال در این زمینه، رفتار تصادفی بار و منابع انرژی نو در نظر گرفته نشده است که این امر باعث می‌شود نتایج حاصله با این فرض دارای دقت کافی نباشند و به دلیل عدم بررسی دقیق، معمولاً در این طراحی‌ها، مقادیر به‌دست‌آمده بیش از مقدار موردنیاز می‌باشند که این امر موجب می‌گردد هزینه سیستم بیشتر شود. نتایج شبیه‌سازی شاخص ایجادشده را نشان می‌دهد. باید توجه داشت که شبیه‌سازی‌های مونت‌کارلو نتایج قطعی تولید نمی‌کنند، بلکه نتایجی که این شبیه‌سازی‌ها فراهم می‌کنند، همراه با توزیع‌های احتمالی می‌باشد. این روش پیشنهادی از این ویژگی استفاده می‌کند تا یکی از نواقص اساسی مدل‌های توضیح داده‌شده در مقالات قبلی، برطرف شود (اغلب این مقالات تنها به اثرات PHEVs بدون در نظر گرفتن احتمالات رخ دادن چنین اثراتی پرداخته‌اند). تحقیق انجام شده در این مقاله، عملکرد دستگاه‌های قدرت را تحت نفوذ بالای PHEVs و الکتریسیته فتوولتاییک تحلیل می‌کند و روش‌های جدیدی را برای هموار ساختن یکپارچه‌سازی این دو تکنولوژی در شبکه‌های کنونی ارائه می‌کند.
Today, most of the electrical energy needed by countries is provided by using fossil fuels. Due to the fact that fossil energies are non-renewable and will bring environmental pollution, it is necessary to use renewable sources to provide electricity. In many studies conducted so far in this field, the random behavior of the load and new energy sources have not been taken into account, which makes the results obtained with this assumption not have enough accuracy, and due to the lack of careful examination, usually in these designs, the values The obtained are more than the required amount, which causes the cost of the system to increase. It shows the simulation results of the created index. It should be noted that Monte Carlo simulations do not produce definitive results, but the results that these simulations provide are associated with probability distributions. This proposed method uses this feature to overcome one of the basic shortcomings of the models described in previous papers (most of these papers only dealt with the effects of PHEVs without considering the probability of such effects occurring). The research carried out in this paper analyzes the performance of power devices under the high penetration of PHEVs and photovoltaic electricity and presents new methods to facilitate the integration of these two technologies in current networks.
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