D. Eager
Dynamic Modeling of Thermal Generation Capacity Investment: Application to Markets With High Wind Penetration
Eager, D.; Hobbs, B.F.; Bialek, J.W.
Authors
B.F. Hobbs
J.W. Bialek
Abstract
Modeling the dynamics of merchant generation investment in market environments can inform the making of policies whose goals are to promote investment in renewable generation while maintaining security of supply. Such models need to calculate expected output, costs and revenue of thermal generation subject to varying load and random generator outages in a power system with high penetrations of wind. This paper presents a dynamic investment simulation model where the short-term energy market is simulated using probabilistic production costing using the Mix of Normals distribution (MOND) technique to represent residual load (load net of wind output). Price mark-ups due to market power are accounted for. An “energy-only” market setting is used to estimate the economic profitability of investments and forecast the evolution of security of supply. Simulated results for a Great Britain (GB) market case study show a pattern of increased relative security of supply risk during the 2020s. In addition, many new investments can recover their fixed costs only during years in which more frequent supply shortages push energy prices higher.
Citation
Eager, D., Hobbs, B., & Bialek, J. (2012). Dynamic Modeling of Thermal Generation Capacity Investment: Application to Markets With High Wind Penetration. IEEE Transactions on Power Systems, 27(4), 2127 - 2137. https://doi.org/10.1109/tpwrs.2012.2190430
Journal Article Type | Article |
---|---|
Publication Date | Nov 1, 2012 |
Deposit Date | May 1, 2013 |
Journal | IEEE Transactions on Power Systems |
Print ISSN | 0885-8950 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 27 |
Issue | 4 |
Pages | 2127 - 2137 |
DOI | https://doi.org/10.1109/tpwrs.2012.2190430 |
Keywords | Mix of normals distribution, Power generation economics. |
You might also like
Adaptive Parameter Estimation of Power System Dynamic Model Using Modal Information
(2014)
Journal Article
Hierarchical Spectral Clustering of Power Grids
(2014)
Journal Article
Opportunity Cost Bidding by Wind Generators in Forward Markets: Analytical Results
(2011)
Journal Article
Non-iterative Method for Modeling Systematic Data Errors in Power System Risk Assessment
(2011)
Journal Article
Smart Operation of Smart Grid: Risk-Limiting Dispatch
(2011)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search