Please use this identifier to cite or link to this item:
Title: Robust offering strategy for a wind power producer under uncertainties
Authors: Li, J
Wan, C
Xu, Z
Keywords: Balancing cost
Benders Decomposition
day-ahead market
Robust optimization
Wind power producer
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: 2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016, 2016, 7778852, p. 752-757 How to cite?
Abstract: In the deregulated electricity market, wind power producers (WPPs) are required to submit their generation profile in the day-ahead (DA) market. The consideration of uncertainties associated with price and wind power become crucial to facilitate decision making and risk hedging for WPPs. In this paper, a bidding strategy based on robust optimization is proposed under two trading floors, namely DA market and balancing market. This approach has merits on modelling multiple uncertainties. In addition, the original nonconvex bi-level problem is reformulated into a LP master problem and a MILP subproblem by employing decomposition and linearization techniques. Case studies based on Nodic market demonstrate the effectiveness of the proposed approach.
Description: 7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016, Sydney, Australia, 6-9 November 2016
ISBN: 9781509040759
DOI: 10.1109/SmartGridComm.2016.7778852
Appears in Collections:Conference Paper

View full-text via PolyU eLinks SFX Query
Show full item record


Citations as of Sep 22, 2017

Page view(s)

Checked on Sep 25, 2017

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.