Agent-based model of short-term and long-term allocation of electric vehicle charging resources in Netlogo
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The REVCID (Residential Electric Vehicle Charging Infrastructure Development) model is an agent-based model, built in NetLogo 6.4.0. It’s goal is to identify strengths and weaknesses of various roll-out strategies, taking into account residential demand, growth projections, equity and grid limitations.Parameters from a real case study were used to initialize the model (identify-neighbourhoods.nls) and parameters should be adjusted to the area of interest when using the model. The netlogo procedures can be found in different files: globals.nls contains the global variables (parameters) used in the modelchargepoints-own.nls, transformators-own.nls and admins-own.nls is a list of the parameters within the chargepoint, transformer and policy-maker agents.identify-neighborhoods.nls contains the statistics as derived from external data (such as EVdata and CBS, see references) for each of the 9 selected case study neighborhoodsset-parameters-grid.nls sets the charging speed of various charging modesdetermine-peak.nls adjusts the occupancy rates based on whether the hour of the day is a peak hour, and adds a random chance for higher occupancygrow-demand.nls sets the growth factor of the …
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