Bruce, A.R.W., Gibbins, J. orcid.org/0000-0003-0963-4555, Harrison, G.P. et al. (1 more author) (2016) Operational Flexibility of Future Generation Portfolios Using High Spatial- and Temporal-Resolution Wind Data. IEEE Transactions on Sustainable Energy, 7 (2). pp. 697-707. ISSN 1949-3029
Abstract
Increasing amounts of variable renewable energy sources will cause fundamental and structural changes to thermal power plant operating regimes. Maintaining key reserve requirements will lead to an increase in power plant start-ups and cycling operations for some units. An enhanced unit commitment model with energy storage and flexible CO2 capture is formulated. High-resolution on-/offshore wind data for the U.K., and probabilistic wind power forecast, model wind imbalances at operational timescales. The strategic use of flexible CO2 capture and energy storage helps maintain reserve levels, decreasing power plant cycling operations and wind curtailment. A temporally explicit variability assessment of net demand illustrates the generation flexibility requirements and the nonlinear impacts of increasing wind capacity on power plant operating regimes.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | CO2 capture and storage (CCS); energy storage; operational flexibility; power systems; unit commitment; wind forecasting; wind power; thermal power plant; operating regimes |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 26 Jul 2017 10:27 |
Last Modified: | 26 Jul 2017 10:27 |
Published Version: | http://doi.org/10.1109/TSTE.2015.2497704 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers |
Refereed: | Yes |
Identification Number: | 10.1109/TSTE.2015.2497704 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:119397 |