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- Lindgren, Elin, et al.
(author)
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Minimizing regulation costs in multi-area systems with uncertain wind power forecasts
- 2008
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In: Wind Energy. - : Wiley. - 1095-4244 .- 1099-1824. ; 11:1, s. 97-108
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Journal article (peer-reviewed)abstract
- In a power system where there are many fast and/or large changes in generation or consumption, e.g. in a system with large amounts of wind power, it is more complicated to handle the frequency control efficiently. Minimizing regulation costs for the system operator in such a system requires the possibility to simulate the frequency control in the time range from minutes to a few hours. In this paper, it is shown how the frequency control during normal operation can be optimized using a multi-area model, without exceeding frequency limits or transmission capacity. The model has also been expanded to include uncertainties in wind power forecasts, which may lead to an increase of the regulating costs. The optimization model is applied to numerical examples to show the impact of wind power on costs for regulating power and to show the value of better wind speed forecasts. No load forecast errors are taken into account.
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| 3. |
- Lindgren, Elin, et al.
(author)
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Power system modeling for multi-area regulating market simulation
- 2005
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In: 2005 IEEE Russia Power Tech, PowerTech. - St. Petersburg. - 9781424418749
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Conference paper (peer-reviewed)abstract
- In a power system with many fast and/or large changes in the generation or the consumption, for example in a system with large amounts of wind power, the frequency control is more complicated to handle efficiently. Minimizing regulation costs for the system operator in such a system requires the possibility to simulate the frequency control, but the existing methods for calculations are neither efficient enough with respect to computation time nor accurate enough. This paper shows how the frequency control can be optimized, thereby reducing the regulation costs, using a multi-area model combined with a DC load flow. The multi-area modeling is described and the optimization is applied to a numerical example.
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