Optimal day-ahead scheduling of VPP considering demandresponse programs

Publish Year: 1402
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:

NCEEM12_019

تاریخ نمایه سازی: 30 آبان 1402

Abstract:

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

Authors

Ali. Shayegan Rad

MAPNA Electric and Control, Engineering & Manufacturing Co. (MECO), MAPNA Group