Optimisation of the bidding strategy for wind power trading
Tools
Hamilton, David I. and McMillan, David and Catterson, Victoria M.; (2015) Optimisation of the bidding strategy for wind power trading. In: PowerTech, 2015 IEEE Eindhoven. IEEE, NLD. ISBN 9781479976935
Preview |
Text.
Filename: Hamilton_etal_Powertech2015_Optimisation_of_the_bidding_strategy_for_wind_power_trading.pdf
Accepted Author Manuscript Download (287kB)| Preview |
Abstract
The optimal bidding strategy for trading electricity from a wind farm is not always clear. This paper outlines a method for predicting whether the market will be long or short and uses this information to select the best quantile regression for the current market conditions. Results from a simulation with a 2.5MW turbine produced a savings of over £2,000 compared to using only a P50 forecaster.
ORCID iDs
Hamilton, David I. ORCID: https://orcid.org/0000-0001-5759-9163, McMillan, David ORCID: https://orcid.org/0000-0003-3030-4702 and Catterson, Victoria M. ORCID: https://orcid.org/0000-0003-3455-803X;-
-
Item type: Book Section ID code: 59355 Dates: DateEvent29 June 2015Published1 January 2015AcceptedNotes: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Subjects: Technology > Engineering (General). Civil engineering (General) > Environmental engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 10 Jan 2017 15:00 Last modified: 11 Nov 2024 14:57 URI: https://strathprints.strath.ac.uk/id/eprint/59355
CORE (COnnecting REpositories)