بهینه‌سازی مشترک سیستم‌های انرژی یکپارچه در حضور منابع انرژی تجدیدپذیر، سیستم‌های تبدیل توان به گاز و سیستم ذخیره‌سازی انرژی
محورهای موضوعی : انرژی های تجدیدپذیر
مه رو ستار
1
,
محمود سمیعی مقدم
2
,
آزیتا آذرفر
3
,
نسرین صالحی
4
,
مجتبی واحدی
5
1 - دانشکده مهندسی برق- واحد شاهرود، دانشگاه آزاد اسلامی، شاهرود، ایران
2 - دانشکده مهندسی برق- واحد دامغان، دانشگاه آزاد اسلامی، دامغان، ایران
3 - دانشکده مهندسی برق- واحد شاهرود، دانشگاه آزاد اسلامی، شاهرود، ایران
4 - دانشکده علوم پایه- واحد شاهرود، دانشگاه آزاد اسلامی، شاهرود، ایران
5 - دانشکده مهندسی برق- واحد شاهرود، دانشگاه آزاد اسلامی، شاهرود، ایران
کلید واژه: بهینه‌سازی, باتری, مدل خطی باینری, سیستم توان به گاز, سیستم‌های یکپارچه انرژی,
چکیده مقاله :
با توجه به نفوذ بالای منابع انرژی تجدیدپذیر و تاثیر مستقیم بر روی توان شبکه، مسئله مدیریت انرژی بیش از پیش مورد توجه محققان قرار گرفته است. سیستم تبدیل توان به گاز سبب می شود که برق مازاد تولید شده از منابع انرژی تجدیدپذیر موجود در شبکه به گاز تبدیل و به شبکه گاز فروخته شود، در همین راستا نیز منابع تولیدپراکنده گازسوز و سیستم‌های توان به گاز سبب تعامل دو شبکه برق و گاز خواهد شد، بنابراین مدیریت انرژی و کسب سود با در نظر گرفتن این دو شبکه به‌عنوان بهینه‌سازی مشترک سیستم‌های انرژی یکپارچه، موضوعی است که از اهمیت ویژه ای برخوردار است. در این مقاله یک مدل برنامه ریزی خطی عدد صحیح مختلط (MILP) تصادفی مبتنی بر سناریو به منظور بهینه سازی سیستم یکپارچه برق و گاز طبیعی با در نظر گرفتن منابع تولید پراکنده گازسوز، سیستم‌های توان به گاز، سیستم های ذخیره‌سازی انرژی و خودروهای برقی با هدف کاهش هزینه خرید انرژی و قطع توان منابع انرژی تجدیدپذیر ارائه شده است. شبکه توزیع برق 33 شینه و شبکه گاز طبیعی 7 گرهی برای تحلیل مدل پیشنهادی در نظر گرفته شده و مدل پیشنهادی با استفاده از حل کننده قدرتمند گروبی با در نظر گرفتن سناریوهای مختلف حل شده است. نتایج سناریوهای مختلف کارایی مدل پیشنهادی را نشان می دهد.
Due to the high penetration of renewable energy resources and the direct impact on the power system, the issue of energy management has received more attention than researchers. Power-to-gas (P2G) system causes the surplus electricity generated from renewable energy resources in the network to be converted to gas and sold to the gas network, so energy management and profitability are a matter of particular importance, considering the two grids as a joint optimization of integrated energy systems. This paper presents a scenario-based stochastic mixed-integer linear programming (MILP) model to optimize integrated gas and electricity integrated systems considering natural gas distributed generation resources, P2G systems, energy storage systems, and electric vehicles. It aims to reduce the cost of purchasing energy and cut off the power of renewable energy resources. The 33-bus power distribution network and the 7-node natural gas network are considered for the analysis of the proposed model, and the proposed model is solved using the powerful Gurobi solver, considering various cases. The results of different cases show the performance of the proposed model.
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