LEADER 01883nam  2200373z- 450 
001 9910346772603321
005 20231214133238.0
010   $a1000053596
035   $a(CKB)4920000000100797
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/44599
035   $a(EXLCZ)994920000000100797
100   $a20202102d2016      |y             0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aDecentralized Energy Systems, Market Integration, Optimization
210   $cKIT Scientific Publishing$d2016
215   $a1 electronic resource (IV, 78 p. p.)
225 1 $aProduktion und Energie / Karlsruher Institut für Technologie, Institut für Industriebetriebslehre und industrielle Produktion u. Deutsch-Französisches Institut für Umweltforschung
311   $a3-7315-0505-3 
330   $aIn 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.
610   $aDezentralEnergy systems
610   $arenewable energy
610   $aErneuerbare Energien
610   $acongestion management
610   $adecentralized
610   $aEnergiesystemanalyse
700   $aRingler$b PhilippSchermeyer, HansRuppert, ManuelHayn, MarianBertsch, ValentinKeles, Dogan Fichtner, Wolf$4auth$01280406
906   $aBOOK
912   $a9910346772603321
996   $aDecentralized Energy Systems, Market Integration, Optimization$93016895
997   $aUNINA