Joint Energy and Reserve Scheduling of a Wind Power Producer in a Peer-to-Peer Mechanism

• Type: Article in International Scientific Journal
• Date: 2021

Authors

Homa Rashidizadeh-Kermani (Author) Other; Mostafa Vahedipour-Dahraie (Author) Other; Miadreza Shafie-khah (Author) Other; João P. S. Catalão (Author) FEUP

Journal

Title: IEEE Systems Journal

Vol. 15

Pages: 4315-4324

ISSN: 1932-8184

Publisher: IEEE

Indexing

ISI Web of Knowledge - 3 Citations

Other information

Authenticus ID: P-00V-DCB

DOI: 10.1109/jsyst.2020.3026233

Abstract (EN): This article proposes a risk constrained decision-making problem for wind power producers (WPPs) in a competitive environment. In this problem, the WPP opts to maximize its likely profit whereas aggregators want to minimize their payments. So, this bilevel problem is converted to a single level one. Then, the WPP offers proper prices to the aggregators to attract them to supply their demand. Also, these aggregators can procure reserve for the WPP to compensate its uncertainties. Therefore, through a peer-to-peer (P2P) trading mechanism, the WPP requests the aggregators to allocate reserve to cover the uncertainties of the wind generation. Also, due to the presence of uncertain resources of the problem, a risk measurement tool is applied to the problem to control the uncertainties. The effectiveness of the model is assessed on realistic data from the Nordpool market and the results show that as the loads become responsive, more loads are allowed to choose their WPP to supply their load. Also, the reserve that is provided by these responsive loads to the WPP increases.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10