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R.T.Y.Z. Soen
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Unlocking Behavioural Household Flexibility in Dutch Distribution Grids
A Behaviour-Informed Agent-Based Analysis of EV Home Charging Allocation and Load Shifting under Congestion
Master thesis
(2026)
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R.T.Y.Z. Soen, E.J.L. Chappin, G. de Vries, M.D.A. Rietkerk, Rob den Exter, Mattijs van der Laan
This research examines how perceived hassle and habit strength influence households’ willingness to shift electric vehicle home charging away from peak hours. Empirical behavioural data were integrated with a probabilistic allocation of home chargers in a behaviour-informed agent-based model of a congestion-prone Dutch distribution network. Results reveal a mismatch between charger ownership and behavioural willingness: an unweighted willingness of 39.3% overestimated the realised, population-weighted flexibility of 28.6%. The findings show that residential charging flexibility is shaped jointly by household behaviour, infrastructure access and household heterogeneity. Automation may unlock additional flexibility by reducing perceived hassle.
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This research examines how perceived hassle and habit strength influence households’ willingness to shift electric vehicle home charging away from peak hours. Empirical behavioural data were integrated with a probabilistic allocation of home chargers in a behaviour-informed agent-based model of a congestion-prone Dutch distribution network. Results reveal a mismatch between charger ownership and behavioural willingness: an unweighted willingness of 39.3% overestimated the realised, population-weighted flexibility of 28.6%. The findings show that residential charging flexibility is shaped jointly by household behaviour, infrastructure access and household heterogeneity. Automation may unlock additional flexibility by reducing perceived hassle.