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Controlling Large Electric Vehicle Charging Stations via User Behavior Modeling and Stochastic Programming
Feb. 21, 2024, 5:43 a.m. | Alban Puech, Tristan Rigaut, William Templier, Maud Tournoud
cs.LG updates on arXiv.org arxiv.org
Abstract: This paper introduces an Electric Vehicle Charging Station (EVCS) model that incorporates real-world constraints, such as slot power limitations, contract threshold overruns penalties, or early disconnections of electric vehicles (EVs). We propose a formulation of the problem of EVCS control under uncertainty, and implement two Multi-Stage Stochastic Programming approaches that leverage user-provided information, namely, Model Predictive Control and Two-Stage Stochastic Programming. The model addresses uncertainties in charging session start and end times, as well as …
abstract arxiv behavior charging constraints control cs.ai cs.ce cs.lg cs.sy eess.sy electric electric vehicle electric vehicles evs limitations math.oc modeling paper power programming stochastic threshold type uncertainty vehicles via world
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