برنامه‌ریزی اقتصادی- زیست‌محیطی چندهدفه ریزشبکه‌ها در حضور خودروهای الکتریکی هیبریدی و برنامه پاسخگویی بار در جهت هموارسازی قیمت‌های گرهی توزیع
محورهای موضوعی : مهندسی برق و کامپیوترعلی میرزایی 1 , نوید تقی زادگان کلانتری 2 * , سجاد نجفی روادانق 3
1 - ، دانشکده فنی و مهندسی، دانشگاه شهید مدنی آذربایجان
2 - ، دانشکده فنی و مهندسی، دانشگاه شهید مدنی آذربایجان
3 - ، دانشکده فنی و مهندسی، دانشگاه شهید مدنی آذربایجان
کلید واژه: ریزشبکه, خودروی الکتریکی, الگوریتم بهینه‌سازی مرغ دریایی چندهدفه تکاملی, انرژی تجدیدپذیر, قیمت‌های گرهی توزیع, برنامه پاسخگویی بار,
چکیده مقاله :
امروزه با رشد تقاضای خودروهای الکتریکی هیبریدی در ریزشبکه‌ها، تأمین برق، مسائل زیست‌محیطی و زمان‌بندی مجدد از جمله چالش‌های ریزشبکه‌هاست که باید حل و راه حل‌های مناسبی ارائه شود. برای غلبه بر این چالش‌ها، این مقاله یک مدل بهینه‌سازی چندهدفه جدید را معرفی می‌کند که در هدف اول، هزینه کل بهره‌برداری ریزشبکه را به حداقل می‌رساند و در هدف دوم با کاهش مقدار انرژی تأمین‌نشده، مقدار شاخص قابلیت اطمینان را بهبود می‌بخشد. به دلیل این دو هدف، الگوریتم بهینه‌سازی مرغ دریایی چندهدفه تکاملی برای یافتن بهترین راه حل‌های محلی مورد استفاده قرار می‌گیرد. در این راستا خودروهای الکتریکی هیبریدی و برنامه‌های پاسخ به تقاضا برای هموارسازی قیمت‌های گرهی توزیع و کاهش میزان انتشار دی‌اکسید کربن استفاده می‌شود. شبکه توزیع 69باسه برای ارزیابی کارایی روش پیشنهادی استفاده گردیده است.
Today, with the growing demand for hybrid electric vehicles in microgrids, electricity supply, environmental issues, and rescheduling are among the challenges of microgrids that must be solved and suitable solutions provided. To overcome these challenges, this paper introduces a new multi-objective optimization model, which in the first objective, minimizes the total operation cost of the microgrid, and in the second objective, improves the reliability index by reducing the amount of energy not supplied. Due to these two objectives, a multi-objective evolutionary seagull optimization algorithm is used to find the optimal global solutions. In this regard, hybrid electric vehicles and demand response programs are used to smooth out distribution nodal prices and reduce CO2 emissions. The 69-bus distribution network has been used to evaluate the efficiency of the proposed method.
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