Self-Scheduling Approach to Coordinating Wind Power Producers With Energy Storage and Demand Response

• Type: Article in International Scientific Journal
• Date: 2020

Authors

Jamali, A (Author) Other; Aghaei, J (Author) Other; Esmaili, M (Author) Other; Nikoobakht, A (Author) Other; Niknam, T (Author) Other; Shafie khah, M (Author) Other; Catalao, JPS (Author) FEUP

Journal

Title: IEEE Transactions on Sustainable Energy

Vol. 11

Pages: 1210-1219

ISSN: 1949-3029

Publisher: IEEE

Indexing

ISI Web of Knowledge - 37 Citations

Scopus - 39 Citations

Other information

Authenticus ID: P-00S-B57

DOI: 10.1109/tste.2019.2920884

Abstract (EN): The uncertainty of wind energy makes wind power producers (WPPs) incur profit/loss due to balancing costs in electricity markets, a phenomenon that restricts their participation in markets. This paper proposes a stochastic bidding strategy based on virtual power plants (VPPs) to increase the profit of WPPs in short-term electricity markets in coordination with energy storage systems and demand response. To implement the stochastic solution strategy, the Kantorovich method is used for scenario generation and reduction. The optimization problem is formulated as a Mixed-Integer Linear Programming problem. From testing the proposed method for a Spanish WPP, it is inferred that the proposed method enhances the profit of the VPP compared to previous models.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10