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210512 ||| eng |
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|a 9783731505051
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|a 1000053596
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|a Ringler, PhilippSchermeyer, HansRuppert, ManuelHayn, MarianBertsch, ValentinKeles, Dogan Fichtner, Wolf
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| 245 |
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|a Decentralized Energy Systems, Market Integration, Optimization
|h Elektronische Ressource
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| 260 |
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|b KIT Scientific Publishing
|c 2016
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| 300 |
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|a 1 electronic resource (IV, 78 p. p.)
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| 653 |
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|a DezentralEnergy systems
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| 653 |
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|a renewable energy
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| 653 |
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|a Energiesystemanalyse
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| 653 |
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|a Erneuerbare Energien
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| 653 |
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|a decentralized
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| 653 |
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|a congestion management
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 490 |
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|a Produktion und Energie / Karlsruher Institut für Technologie, Institut für Industriebetriebslehre und industrielle Produktion u. Deutsch-Französisches Institut für Umweltforschung
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by-sa/4.0/
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| 028 |
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|a 10.5445/KSP/1000053596
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|u https://www.ksp.kit.edu/9783731505051
|7 0
|x Verlag
|3 Volltext
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| 856 |
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|u https://directory.doabooks.org/handle/20.500.12854/44599
|z DOAB: description of the publication
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| 082 |
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|a 333
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| 520 |
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|a In this study we develop a flexible modeling toolbox for decentralized electricity systems with an agent-based simulation approach at its core. Two RES-E generation models for wind and PV each with a high temporal and spatial resolution are presented and approaches to model specific aspects of the demand side in detail are introduced. The implementation of an AC load flow algorithm is described and the concept of a market-based congestion management mechanism is outlined.
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