Decentralized Energy Systems, Market Integration, Optimization

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 d...

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Main Author: Ringler, PhilippSchermeyer, HansRuppert, ManuelHayn, MarianBertsch, ValentinKeles, Dogan Fichtner, Wolf (auth)
Format: Book Chapter
Published: KIT Scientific Publishing 2016
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Online Access:Get Fullteks
DOAB: description of the publication
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020 |a KSP/1000053596 
020 |a 9783731505051 
024 7 |a 10.5445/KSP/1000053596  |c doi 
041 0 |a English 
042 |a dc 
100 1 |a Ringler, PhilippSchermeyer, HansRuppert, ManuelHayn, MarianBertsch, ValentinKeles, Dogan Fichtner, Wolf  |4 auth 
245 1 0 |a Decentralized Energy Systems, Market Integration, Optimization 
260 |b KIT Scientific Publishing  |c 2016 
300 |a 1 electronic resource (IV, 78 p. p.) 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |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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546 |a English 
653 |a DezentralEnergy systems 
653 |a renewable energy 
653 |a Erneuerbare Energien 
653 |a congestion management 
653 |a decentralized 
653 |a Energiesystemanalyse 
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856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/44599  |7 0  |z DOAB: description of the publication