Please use this identifier to cite or link to this item: http://hdl.handle.net/11328/3712
Title: Optimal scheduling of microgrid-based virtual power plants considering demand response and capacity withholding opportunities
Authors: Tabatabaei, Mostafa
Nazar, Mehrdad S.
Shafie-khah, Miadreza
Osório, Gerardo J.
Catalão, João P. S.
Keywords: Demand response
Distributed energy resources
Microgrid
Stochastic optimization
Virtual power plant
Issue Date: 2021
Publisher: IEEE
Citation: Tabatabaei, M., Nazar, M. S., Shafie-khah, M., Osório, G. J., Catalão, J. P. S. (2021). Optimal scheduling of microgrid-based virtual power plants considering demand response and capacity withholding opportunities. In Proceedings of the IEEE Power Tech 2021 Conference, Madrid, Spain, 28th June-02th July 2021. DOI: 10.1109/PowerTech46648.2021.9494964. Disponível no Repositório UPT, http://hdl.handle.net/11328/3712
Abstract: This work addresses a stochastic framework for optimal coordination of a microgrid-based virtual power plant (VPP) that participates in day-ahead energy and ancillary service markets. The microgrids are equipped with different types of distributed energy resources. A two-stage optimization formulation is proposed to maximize the benefit of the virtual power plant and minimize the energy procurement costs of the Distribution System Operator (DSO). The proposed model determines the optimal commitment scheduling of energy resources, considering the capacity withholding opportunities of the VPP that should be detected by the DSO. To evaluate the effectiveness of the proposed model, the algorithm is assessed for the 123-bus IEEE test system. The results show that the proposed method successfully maximizes the virtual power plant profit considering capacity withholding penalties.
URI: http://hdl.handle.net/11328/3712
ISBN: 978-1-6654-3597-0
Appears in Collections:REMIT - Comunicações a Congressos Internacionais / Papers in International Meetings

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