یک چارچوب سه مرحله‌‌ای برای تعیین استراتژی بهینه ریزشبکه‌‌ها جهت مشارکت در بازار رقابتی روز بعد با در نظر گرفتن خودروهای الکتریکی و برنامه‌‌های پاسخگویی تقاضا
محورهای موضوعی : انرژی های تجدیدپذیر
ابوالفضل بیاتیان
1
(دانشکده مهندسی برق و کامپیوتر- واحد یادگار امام خمینی (ره) شهرری، دانشگاه آزاد اسلامی، تهران، ایران)
امیر احمری نژاد
2
(دانشکده فنی و مهندسی- واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران)
کلید واژه: منابع انرژی تجدیدپذیر, برنامهریزی ریزشبکه‌‌ها, خودروهای الکتریکی, برنامه‌‌های پاسخگویی تقاضا, روش تئوری بازی مشارکتی, استراتژی پیشنهادی بهینه,
چکیده مقاله :
در این مقاله یک چارچوب سه مرحله‌‌ای مبتنی بر سناریو برای تعیین استراتژی بهینه و برنامهریزی ریزشبکه‌‌های قرار گرفته در یک سیستم توزیع 118 شینه ارائه شده است. عدم قطعیت‌‌های منابع تجدیدپذیر، تقاضای بار و برنامه شارژ/دشارژ خودروهای الکتریکی در نظر گرفته شده است. برای ارتقای انعطاف در برنامهریزی، بهرهبردار قادر خواهد بود تا از طریق بازآرایی سیستم توزیع مسیر شارش توان را تغییر دهد. همچنین در مدل پیشنهادی مشترکین قادر به کاهش هزینه‌‌های خود از طریق مشارکت در یک برنامه پاسخگویی تقاضا هستند. در مرحله اول مدل پیشنهادی، استراتژی پیشنهادی ریزشبکه‌‌ها تعیین می شود. در مرحله دوم قیمت تسویه بازار توسط بهرهبردار مستقل سیستم و با توجه به پیشنهادات ارسالی مشخص می گردد. در نهایت، در مرحله سوم مسئله برنامهریزی نهایی ریزشبکه‌‌ها توسط یک روش تئوری بازی مشارکتی حل می‌‌شود. مدل پیشنهادی توسط حل‌کننده CPLEX در نرم‌افزار گمز حل شده و نتایج نشان می‌‌دهند که توپولوژی دینامیک انعطاف برنامهریزی را ارتقا داده و از این طریق منجر به کاهش حدود 10 درصدی هزینه بهره‌‌برداری کل شده است. همچنین نتایج نشان می‌‌دهند که هماهنگی خودروهای الکتریکی با برنامهریزی، حضور سیستم‌‌های ذخیره‌‌ساز و اجرای برنامه پاسخگویی تقاضا منجر به کاهش چشمگیر سطح قیمت تسویه بازار و در نتیجه کاهش هزینه‌‌های بهره‌‌برداری می‌‌شود.
In this paper, a three-level scenario-based framework for determining the optimal strategy and planning of microgrids located in a 118-bus distribution system is presented. This paper considers the uncertainties of renewable energy resources, load demand, and the charge / discharge schedule of electric vehicles. In order to increase planning flexibility, the operator will be able to change the flow through the distribution feeder reconfiguration. Also in the proposed model, customers will be able to reduce their costs by participating in a demand response program. In the first level of the proposed model, the bidding strategy of microgrids is determined. In the second level, the market clearing price is determined by the independent system operator and according to the submitted bids. Finally, in the third stage, the problem of final microgrid programming is solved by a participatory game theory method. The proposed model is solved by the CPLEX solver in GAMS software and the results show that the dynamic topology improves the planning flexibility and thus reduces the total operating cost by about 10%. The results also show that the coordination of electric vehicles with scheduling, the presence of storage systems and the implementation of the demand response program leads to a significant reduction in the level of market-clearing price and thus reduce operating costs.
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