Collective Effects and Performance of Algorithmic Electric Vehicle Charging Strategies

Gardlo, Miroslav; Buzna, Ľuboš; Carvalho, Rui; Gibbens, Richard; Kelly, Frank

Abstract

We combine the power flow model with the proportionally fair optimization criterion to study the control of congestion within a distribution electric grid network. The form of the mathematical optimization problem is a convex second order cone that can be solved by modern non-linear interior point methods and constitutes the core of a dynamic simulation of electric vehicles (EV) joining and leaving the charging network. The preferences of EV drivers, represented by simple algorithmic strategies, are conveyed to the optimizing component by realtime adjustments to user-specific weighting parameters that are then directly incorporated into the objective function. The algorithmic strategies utilize a small number of parameters that characterize the user's budgets, expectations on the availability of vehicles and the charging process. We investigate the collective behaviour emerging from individual strategies and evaluate their performance by means of computer simulation.

Citation

Gardlo, M., Buzna, Ľ., Carvalho, R., Gibbens, R., & Kelly, F. (2018, October). Collective Effects and Performance of Algorithmic Electric Vehicle Charging Strategies. Presented at The fifth Workshop on Complexity in Engineering (COMPENG 2018)., Florence, Italy

• Presentation Conference Type: Conference Paper (published)
• Conference Name: The fifth Workshop on Complexity in Engineering (COMPENG 2018).
• Start Date: Oct 10, 2018
• End Date: Oct 12, 2018
• Acceptance Date: Sep 18, 2018
• Online Publication Date: Nov 15, 2018
• Publication Date: Oct 1, 2018
• Deposit Date: Oct 4, 2018
• Publicly Available Date: Oct 5, 2018
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 1-7
• Book Title: 2018 IEEE Workshop on Complexity in Engineering (COMPENG), 10-12 October 2018, Florence.
• DOI: https://doi.org/10.1109/compeng.2018.8536246
• Public URL: https://durham-repository.worktribe.com/output/1143912
• Related Public URLs: https://arxiv.org/abs/1810.01766