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Parametric sensitivity study for wind power trading through stochastic reserve and energy market optimization
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences.
2015 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Trading optimal wind power in energy and regulation market offers possibil-ities for increasing revenues as well as impacting security of the system in apositive way[33]. The bidding in both energy and regulation markets can bedone through stochastic optimization process of both markets.Stochastic optimization can be possible once the probabilistic forecst is avail-able through ensemble forecast methodology. For stochastic optimization, thepost-processing of the ensembles to generate quantiles that will be used in op-timization can be accomplished by employing different methodology. In thisstudy, we will concentrate on the impact of post-processing of ensembles onthe stochastic optimization.Generation of quantiles needed for stochastic optimization used herein formarket optimization will be the main focus of the investigation. The impactof price ratios between energy and reserve market will be also investigated toanalyse the impact of said ratios on the revenues. Furthermore this analysiswill be performed for both US and Swedish markets.

Place, publisher, year, edition, pages
2015. , 46 p.
Keyword [en]
Reserve market, energy market, stochastic optimiza- tion, wind power, bidding strategy, electricity market, regulation reserve, power system security
National Category
Energy Engineering
URN: urn:nbn:se:uu:diva-257502OAI: diva2:839514
Educational program
Master Programme in Wind Power Project Management
Available from: 2015-07-02 Created: 2015-07-02 Last updated: 2016-06-27Bibliographically approved

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Menin, Michel
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