مدل¬سازی سیستم¬های ذخیره¬کننده انرژی در ریزشبکه¬ها با هدف کاهش هزینه و آلاینده¬های زیست محیطی
محورهای موضوعی : مهندسی قدرت و مدیریت انرژی
1 - استادیار، گروه مهندسی برق،واحد شیراز، دانشگاه آزاد اسلامی، شیراز، ایران
کلید واژه: ریزشبکه, ذخیره کننده انرژی, هزینه, آلاینده زیست محیطی,
چکیده مقاله :
در این مقاله به منظور بهبود عملکرد یک ریزشبکه، یک مدل کامل و عملی برای ذخیره¬کننده های انرژی الکتریکی ارائه گردیده است. به¬منظور بهینه کردن انرژی در ریزشبکه، یک تابع هدف دو منظوره در نظر گرفته شده که هدف اصلی این تابع آن است که با در نظر گرفتن عدم قطعیت موجود در ریزشبکه، به حداقل کردن همزمان هزینه¬های کل بهره¬برداری و آلاینده¬های زیست محیطی بپردازد. در قسمت بهینه¬سازی، با توجه به فضای جستجوی بزرگ مسئله فوق و همچنین غیرخطی بودن آن، از الگوریتم پیشنهادی بهبود یافته ازدحام ذرات استفاده شده است. مقایسه جواب¬های به-دست آمده از طریق الگوریتم بهینه¬سازی فوق با سایر الگوریتم¬های بهینه¬سازی نشان می¬دهد که الگوریتم فوق کاراتر بوده و دارای سرعت و دقت بالاتری می¬باشد. در نهایت، الگوریتم پیشنهادی جهت مدیریت انرژی الکتریکی کل ریزشبکه، نقاط کار کلیه منابع تولید پراکنده، نحوه شارژ و دشارژ ذخیره¬کننده¬های انرژی الکتریکی و همچنین میزان توان الکتریکی مبادلاتی با شبکه بالادست را در شرایطی که کل هزینه¬های بهره¬برداری و آلودگی¬های زیست محیطی تولیدی به¬طور همزمان حداقل گردد، بهینه می¬نماید.
In this article, in order to improve the performance of a micro-grid, a complete and practical model for electric energy storage is presented. In order to optimize the energy in the micro-grid, a dual-purpose objective function has been considered, and the main purpose of this function is to simultaneously minimize the total operating costs and environmental pollutants by considering the uncertainty in the micro-grid. In the optimization part, due to the large search space of the above problem and its non-linearity, the proposed improved particle swarm algorithm has been used. Comparing the answers obtained through the above optimization algorithm with other optimization algorithms shows that the above algorithm is more efficient and has higher speed and accuracy. Finally, the proposed algorithm for managing the electrical energy of the entire micro-grid, the working points of all scattered production sources, how to charge and discharge electrical energy storage devices, as well as the amount of electrical power exchanged with the upstream network, in the condition that the total operating costs and environmental pollution Production is simultaneously minimized and optimized.
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