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  4. Using Probabilistic Forecasts in Stochastic Optimization
 
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2020
  • Konferenzbeitrag

Titel

Using Probabilistic Forecasts in Stochastic Optimization

Abstract
In the coming years, the energy system will be transformed from central carbon-based power plants to decentralized renewable generation. Due to the dependency of these systems on external influences such as the weather, forecast uncertainties pose a problem. In this paper, we will compare different methods that mitigate the impact of these forecast uncertainties. Our results suggest that estimating these uncertainties and modeling them for optimization can increase the benefit for the individual system.
Author(s)
Groß, A.
Lenders, A.
Zech, T.
Wittwer, C.
Diehl, M.
Hauptwerk
International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020
Project(s)
ALPRO
eco4wind
DyConPV
Funder
Bundesministerium für Wirtschaft und Energie BMWi (Deutschland)
Bundesministerium für Wirtschaft und Energie BMWi (Deutschland)
Bundesministerium für Wirtschaft und Energie BMWi (Deutschland)
Konferenz
International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) 2020
DOI
10.1109/PMAPS47429.2020.9183575
File(s)
N-614593.pdf (214.71 KB)
Language
Englisch
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ISE
Tags
  • Leistungselektronik

  • Netze und Intelligent...

  • probabilistic forecas...

  • PV battery systems

  • stochastic optimizati...

  • intelligentes Netz

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