Optimal Scheduling of Microgrid-Based Virtual Power Plants Considering Demand Response and Capacity Withholding Opportunities

• Type: Article in International Conference Proceedings Book
• Date: 2021

Authors

Mostafa Tabatabaei (Author) Other; Mehrdad Setayesh Nazar (Author) Other; Miadreza Shafie-khah (Author) Other; Gerardo J. Osório (Author) Other; João P. S. Catalão (Author) FEUP

Conference proceedings International

Title: 2021 IEEE MADRID POWERTECH

Pages: 1-6

14th IEEE Madrid PowerTech Conference (IEEE POWERTECH)

ELECTR NETWORK, JUN 28-JUL 02, 2021

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Other information

Authenticus ID: P-00V-JFA

DOI: 10.1109/powertech46648.2021.9494964

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6