Research Article
Coordinated charging strategies for plug-in electric vehicles to ensure a robust charging process
@INPROCEEDINGS{10.4108/eai.25-10-2016.2266997, author={Jannik H\'{y}ls and Anne Remke}, title={Coordinated charging strategies for plug-in electric vehicles to ensure a robust charging process}, proceedings={10th EAI International Conference on Performance Evaluation Methodologies and Tools}, publisher={ACM}, proceedings_a={VALUETOOLS}, year={2017}, month={5}, keywords={electric vehicles robust coordinated charging hybrid petri nets stochastic model checking}, doi={10.4108/eai.25-10-2016.2266997} }- Jannik Hüls
Anne Remke
Year: 2017
Coordinated charging strategies for plug-in electric vehicles to ensure a robust charging process
VALUETOOLS
ACM
DOI: 10.4108/eai.25-10-2016.2266997
Abstract
Charging of plug-in electric vehicles is expected to heavily increase the load of the electric grid. Therefore coordinated charging strategies are proposed to facilitate a flexible charging process that may be delayed to a time when e.g. extra energy is available. The expected recurrence time of the client and the maximum speed of the charging process implicitly determine the latest possible time to start charging. This paper proposes a simple Hybrid Petri net (HPnG) model that implements a charging station based on a predicted recurrence time of the client. The impact of coordinated charging on the client is investigated by comparing three different charging strategies: (i) Immediate, (ii) Con- siderate and (iii) Just-in-time. Recent algorithms for model-checking HPnGs are used to compute the probability that the charging processes is finished upon the arrival of the client. This ensures that the client’s charging requirements do not suffer from the created flexibility. We show that the proposed model may be used to identify system parameters for coordinated charging even though the recurrence time is not exactly known.