Nudging residential EV charging behaviour: An analysis of existing agent-based model formalisations

Flatten the curve

Master thesis (2020)

Authors

B. Trago Technology, Policy and Management

Contributors

E.J.L. Chappin Energy and Industry (supervisor 1)
G. de Vries Organisation & Governance - TPM (supervisor 2)
Robert Klumpenaar Alliander DSO (coach)
Arjen Zondervan Alliander DSO (coach)
Faculty
Technology, Policy and Management
Copyright: © 2020 Bas Trago
Electric vehicles Complex systems Agent-based modelling Distribution system. Charging behaviour
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Published Date

12-10-2020

Language

English

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Faculty

Technology, Policy and Management

Abstract

By analysing existing agent-based model (ABM) charging behaviour formalisations, this study evaluates the impact of a new static band-width network tariff structure on charging demand. Additionally, this approach enables a comparative study to reflect upon the susceptibility and value of the ABM method. Based on the simulation results, this study shows how steering EV charging behaviour by implementing a static bandwidth tariff structure will lead to lower demand peaks. However, the results also show how the increased simultaneity among charging sessions are expected to mit-igate the decreasing impact of the intervention. Furthermore, this study signifies how interpreting and scoping of a complex system can lead to significantly different model dynamics.