Paper Info
Title
Joint Energy And Reserve Scheduling Of A Wind Power Producer In A Peer-To-Peer Mechanism
Abstract
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.
Year
DOI
Venue
2021
10.1109/JSYST.2020.3026233
IEEE SYSTEMS JOURNAL
Keywords
DocType
Volume
Wind power generation, Uncertainty, Load modeling, Peer-to-peer computing, Stochastic processes, Decision making, Wheels, Demand response, peer to peer, reserve, scheduling, wind power producer
Journal
15
Issue
ISSN
Citations 
3
1932-8184
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Homa Rashidizadeh-Kermani112.07
Mostafa Vahedipour-Dahraie232.47
Miadreza Shafie-khah34324.07
Catalao, J.P.S.44122.84