Abstract
This work presents an approach to optimize the scheduling and determine the requirements for power systems in the future electricity grid, taking into account the goals of the energy transition in Germany and neighboring countries under uncertain conditions. The value of stochastic solution (VSS) is used as a performance index to compare the deterministic and stochastic approaches. A VSS of up to €800 million of annual grid gross profit is calculated, clearly demonstrating the benefits a stochastic approach brings when determining the required infrastructure investments for the future electricity grid. Energy storage requirements are estimated while considering grid. For high load loss penalties, additional storage capacities of up to 42 GWh are calculated. The uncertainty in the electricity demand has the most expressive impact on grid operation costs, and is for this reason used to generate the scenario array for the stochastic simulations.
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Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: None declared.
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
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Articles in the same Issue
- Frontmatter
- Reviews
- Multiscale modeling and simulation of magneto-active elastomers based on experimental data
- Theoretical examination of efficiency of anthocyanidins as sensitizers in dye-sensitized solar cells
- Artificial intelligence in the modeling of chemical reactions kinetics
- Computational studies of biologically active alkaloids of plant origin: an overview
- Certainty through uncertainty: stochastic optimization of grid-integrated large-scale energy storage in Germany
- Shaping the future energy markets with hybrid multimicrogrids by sequential least squares programming
Articles in the same Issue
- Frontmatter
- Reviews
- Multiscale modeling and simulation of magneto-active elastomers based on experimental data
- Theoretical examination of efficiency of anthocyanidins as sensitizers in dye-sensitized solar cells
- Artificial intelligence in the modeling of chemical reactions kinetics
- Computational studies of biologically active alkaloids of plant origin: an overview
- Certainty through uncertainty: stochastic optimization of grid-integrated large-scale energy storage in Germany
- Shaping the future energy markets with hybrid multimicrogrids by sequential least squares programming