مشارکت دو هدفه هاب‌های انرژی و شبکه‌های توزیع در بازارهای عمده و خرده‌فروشی انرژی مبنی بر تصمیم‌گیری فازی

محورهای موضوعی : بازار برق

امید کهنسال ¹ , محمود زاده باقری ² , محمدجواد کیانی ³ , صمد نجاتیان ⁴

1 - دانشکده فنی و مهندسی- واحد یاسوج، دانشگاه آزاد اسلامی، یاسوج، ایران
2 - دانشکده فنی و مهندسی- واحد یاسوج، دانشگاه آزاد اسلامی، یاسوج، ایران
3 - دانشکده فنی و مهندسی- واحد یاسوج، دانشگاه آزاد اسلامی، یاسوج، ایران
4 - دانشکده فنی و مهندسی- واحد یاسوج، دانشگاه آزاد اسلامی، یاسوج، ایران

تاریخ دریافت : 1401/05/09 تاریخ پذیرش : 1401/09/09 تاریخ انتشار : 1403/06/01

کلید واژه: هاب انرژی متصل به شبکه, شرکت توزیع خصوصی, بهینه‌سازی دو هدفه, تصمیم‌گیری فازی, بازار انرژی روز- بعد, بازار عمده‌فروشی و خرده‌فروشی,

چکیده مقاله :

این مقاله مشارکت بهینه هم‌زمان شبکه های انرژی وهاب‌های انرژی در بازارهای انرژی روز- بعد در دو طرح عمده‌فروشی و خرده فروشی را ارائه می دهد. طرح پیشنهادی در قالب بهینه سازی دو هدفه بیان می شود. در یک تابع هدف کمینه سازی هزینه انرژی شبکه های الکتریکی، گازی و حرارتی به صورت شرکت های توزیع خصوصی در بازارهای یادشده مدنظر است. در تابع هدف دیگر، کمینه سازی هزینه انرژی (برابر با ما تفاوت خرید و فروش انرژی) هاب ها در بازار خرده فروشی به‌عنوان تابع هدف منظور می شود. این طرح مقید به معادلات پخش توان بهینه شبکه های مذکور و مدل بهره برداری منابع و بارهای اکتیو در قالب هاب انرژی است. سپس بهینه سازی پارتو مبنی بر روش توابع وزن دار بر پایه تصمیم گیری فازی یک راه حل مصالحه بهینه استخراج می کند. درنهایت با اجرای طرح پیشنهادی بر روی سیستم تست نمونه، نتایج عددی به‌دست‌آمده تأییدکننده قابلیت طرح پیشنهادی در بهبود وضعیت اقتصادی هاب های انرژی و بهبود هم‌زمان شرایط اقتصادی و بهره برداری شبکه های بیان‌شده است.

چکیده انگلیسی:

This paper presents the optimal participation of distribution networks and energy hubs in the day-ahead wholesale and retail energy markets. The proposed scheme is a two-objective optimization model. In one objective function, it minimizes the energy cost of electricity, gas, and heating network as private distribution companies in the mentioned markets. In another objective function, it minimizes the energy cost (equal to the difference between selling and purchasing energy) of hubs in the retail market. This scheme is subject to optimal power flow formulation in the mentioned networks, and the operation model of sources and active loads in a hub format. Then, the Pareto optimization based on the weighted functions method according to the fuzzy decision is used to achieve the optimal compromise solution. Finally, by implementing the proposed scheme on a system test, the obtained simulation results confirm the capabilities of the scheme in improving the economy of energy hubs and the economic and operation situation of the mentioned networks.

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