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Optimal day-ahead scheduling of VPP considering demandresponse programs

عنوان مقاله: Optimal day-ahead scheduling of VPP considering demandresponse programs
شناسه ملی مقاله: NCEEM12_019
منتشر شده در دوازدهمین کنفرانس ملی مهندسی برق مجلسی در سال 1402
مشخصات نویسندگان مقاله:

Ali. Shayegan Rad - MAPNA Electric and Control, Engineering & Manufacturing Co. (MECO), MAPNA Group

خلاصه مقاله:
This paper presents an economic framework for the virtual power plant (VPP) to participate in joint energy andregulation markets. Differnet electricity consumers and wind turbine are aggregated in the proposed VPP model. VPPpersuades its consumers to provide regulation reserve by signing incentive agreement. A scenario tree is applied tomodel uncertain parameters including energy and regulation prices, wind turbine (WT) production, regulation reservecalling probabilities and consumer behaviors. Two different case studies are presented to demonstrate robustness ofscheduling framework

کلمات کلیدی:
Virtual power plant, Regulation reserve, Demand response programs, Electricity consumers

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1824607/