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Operational Flexibility of Future Generation Portfolios Using High Spatial- and Temporal-Resolution Wind Data

Authors :
Jon Gibbins
Hannah Chalmers
Alasdair R. W. Bruce
Gareth Harrison
Source :
Bruce, A, Gibbins, J, Harrison, G & Chalmers, H 2016, ' Operational flexibility of future generation portfolios using high spatial-and temporal-resolution wind data ', IEEE Transactions on Sustainable Energy, vol. 7, no. 2, pp. 697-707 . https://doi.org/10.1109/TSTE.2015.2497704
Publication Year :
2016
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2016.

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 ${\text C}{{\text O}_2}$ 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 ${\text C}{{\text O}_2}$ 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.

Details

ISSN :
19493037 and 19493029
Volume :
7
Database :
OpenAIRE
Journal :
IEEE Transactions on Sustainable Energy
Accession number :
edsair.doi.dedup.....e10b74e0b331e7c9c80c463c7bbb5754