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Modelling and Simulation of Electrical Energy Systems through a Complex Systems Approach using Agent-Based Models

Kremers, Enrique Alberto

Complexity science aims to better understand the processes of both natural and man-made systems which are composed of many interacting entities at different scales. A disaggregated approach is proposed for simulating electricity systems, by using agent-based models coupled to continuous ones. The approach can help in acquiring a better understanding of the operation of the system itself, e.g. on emergent phenomena or scale effects; as well as in the improvement and design of future smart grids.

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Volltext §
DOI: 10.5445/KSP/1000031133
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Cover der Publikation
Zugehörige Institution(en) am KIT European Institute for Energy Research (EIFER)
Publikationstyp Buch
Publikationsjahr 2013
Sprache Englisch
Identifikator ISBN: 978-3-86644-946-6
KITopen-ID: 1000031133
Verlag KIT Scientific Publishing
Umfang XIV, 181 S.
Schlagwörter smart grids, multi agent systems, demand side management, emergence, complexity
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