Dr Behzad Kazemtabrizi behzad.kazemtabrizi@durham.ac.uk
Associate Professor
Dr Behzad Kazemtabrizi behzad.kazemtabrizi@durham.ac.uk
Associate Professor
C.J. Crabtree
Professor Simon Hogg simon.hogg@durham.ac.uk
Professor
In this paper, a composite generation transmission approach has been chosen for adequacy evaluation of wind farms integrated with conventional generating units. It has been assumed that the failure characteristics of a turbine’s underlying subassemblies possess the required Markov properties to be modeled as Markov processes. The wind farm along with the offshore connection grid has then been modeled in a sequential Monte Carlo simulation which also contains sequential chronological models for wind speed and load level variations over a specific period of time. The reliability of the wind farm is then evaluated against a series of load- and energy-based indices as well as overall productivity of the farm with different connections. The results indicate a potential improvement in the reliability of wind power output when in cluster-type topologies, where the converters are grouped and maintained in a central offshore platform, in comparison to conventional string-type topologies. Academic researchers involved in reliability modeling and risk analysis of renewable sources of energy, particularly wind, as well as industry professionals both in wind turbine manufacturing and operation and maintenance of offshore wind farms would equally benefit from the degree of detail and accuracy provided by the models presented in this paper.
Kazemtabrizi, B., Crabtree, C., & Hogg, S. (2013). Reliability Evaluation of New Offshore Wind Farm Electrical Grid Connection Topologies. In Proceedings of the ASME Turbo Expo 2013: Turbine Technical Conference and Exposition. Volume 8: Supercritical CO2 Power Cycles; Wind Energy; Honors and Awards. San Antonio, Texas, USA, June 3–7, 2013. https://doi.org/10.1115/gt2013-94326
Presentation Conference Type | Conference Paper (Published) |
---|---|
Conference Name | ASME Turbo Expo 2013: Turbine Technical Conference and Exposition |
Publication Date | 2013-06 |
Deposit Date | Aug 7, 2013 |
Publisher | American Society of Mechanical Engineers |
Volume | 8 |
Book Title | Proceedings of the ASME Turbo Expo 2013: Turbine Technical Conference and Exposition. Volume 8: Supercritical CO2 Power Cycles; Wind Energy; Honors and Awards. San Antonio, Texas, USA, June 3–7, 2013 |
DOI | https://doi.org/10.1115/gt2013-94326 |
Public URL | https://durham-repository.worktribe.com/output/1156689 |
Additional Information | Paper No. GT2013-94326 |
Multivariate CNN-LSTM model for wind power forecast and input variables correlation analysis based on SHAPLEY values
(2023)
Presentation / Conference Contribution
Stochastic Optimization of an Active Network Management Scheme for a DER-Rich Distribution Network Comprising Various Aggregators
(2023)
Presentation / Conference Contribution
Network reconfiguration under a stochastic optimisation framework for Day-Ahead Operation Planning for Future Distribution Networks
(2023)
Presentation / Conference Contribution
Calculating the Maximum Penetration of Electric Vehicles in Distribution Networks with Renewable Energy and V2G
(2023)
Presentation / Conference Contribution
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
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