1دانشجوی دکتری، دانشکده فنی مهندسی، دانشگاه آزاد اسلامی واحد ساوه
2استادیار، دانشکده فنی مهندسی، دانشگاه آزاد اسلامی واحد ساوه
تاریخ دریافت: 27 بهمن 1401،
تاریخ بازنگری: 11 اردیبهشت 1402،
تاریخ پذیرش: 12 شهریور 1402
چکیده
برنامه ریزی توان تولیدی واحدها جهت تامین تقاضای بار ساعتی، یکی از مسائل مهم در مدیریت تولید و بهره برداری از سیستمهای قدرت میباشد. در این مقاله، مسئله توزیع بهینه بار با در نظر گرفتن تلفات شبکه انتقال، ملاحظات و محدودیتهای عملی نیروگاههای حرارتی از قبیل نرخ افزایشی و کاهشی تولید، نواحی ممنوعه تولید، اثر شیر بخار با ترکیب منابع تجدیدپذیر شامل مزارع بادی و واحدهای خورشیدی مطرح شده است. منابع انرژی تجدیدپذیر به دلیل عدم استفاده از سوختهای سوختی باعث کاهش آلودگیهای زیست محیطی شده اما این منابع، دارای عدم قطعیت و ماهیت تصادفی در تولید میباشند. از طرف دیگر، منابع بادی و خورشیدی جزء منابع راهاندازی سریع و منابع حرارتی جزء منابع حرارتی راهاندازی کند محسوب میشوند. در نظر گرفتن موارد ذکر شده به صورت توام، مساله توزیع بهینه بار را پیچیده مینماید که در این مقاله برای تعیین میزان مشارکت منابع تولیدی مختلف در تامین بار، از روش جدیدی مبتنی بر الگوریتم سینوس کسینوس، استفاده شده است. به منظور بررسی کارآیی روش پیشنهادی، نتایج شبیهسازی و مطالعات عددی روی یک سیستم نمونه شامل 6 واحد حرارتی، 5 واحد بادی و 13 واحد خورشیدی پیادهسازی شده و با دیگر روشهای هوشمند مقایسه شده است. نتایج مطالعات عددی ضمن داشتن سرعت و دقت مناسب، برتری روش پیشنهادی را نسبت به سایر روشها نشان میدهد.
Planning the Production Power of Thermal, Wind and Solar Units Using the Sine Cosine Algorithm
نویسندگان [English]
Majid Khalili1؛ Javad Nikoukar2
1PhD Student, Department of Electrical Engineering, Islamic Azad University, Saveh branch, Saveh, Iran
2Assistant Professor, Department of Electrical Engineering, Islamic Azad University, Saveh branch, Saveh,
چکیده [English]
Dynamic production power planning to meet hourly load demand is one of the important issues in production management and operation of power systems. In this article, the problem of optimal load dispatch considering transmission network losses, considerations and practical limitations of thermal power plants such as increasing and decreasing ramp rates, prohibited production areas, steam valve effect with the combination of renewable resources including wind farms and solar units has been raised. Renewable energy sources have reduced environmental pollution due to the non-use of fossil fuels, but these sources have uncertainty and random nature in production. On the other hand, wind and solar sources are considered to be part of fast start-up sources and thermal sources are considered to be part of slow start-up thermal sources. Considering the mentioned cases together complicates the problem of optimal load distribution, in this article, a new method based on the sine-cosine algorithm is used to determine the contribution of different production sources in the load supply. To solve this problem, which has non-convex cost functions, a new method based on the sine-cosine algorithm has been used. In order to evaluation the effectiveness of the proposed method, simulation results and numerical studies on a sample system including 6 thermal units, 5 wind units and 13 solar units have been implemented and compared with other metaheuristic algorithms. The results of numerical studies show the superiority of the proposed method over other methods while having the appropriate speed and accuracy. .
کلیدواژه‌ها [English]
Optimal Dispatch, Sine Cosine Algorithm, Optimization, Renewable Energy Sources
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