4.6 Article

iPlugie: Intelligent electric vehicle charging in buildings with grid-connected intermittent energy resources

Journal

SIMULATION MODELLING PRACTICE AND THEORY
Volume 115, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.simpat.2021.102439

Keywords

Electric vehicles; Charging; Optimization; Smart Grid

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This study proposes an intelligent PEV charging scheduling system that takes into account time-varying tariffs, peak demand charges, and export tariffs, while considering the energy consumption of buildings and intermittent energy resource generation. The approach, based on adaptive model predictive control and a depth-first-search-based charging planning algorithm, demonstrates a cost reduction of approximately 5% and 35% in the United States and the United Kingdom domestic settings, respectively, compared to standard PEV charging practices.
Today's energy market is increasingly integrating time-varying tariffs, peak demand charges, and/or export tariffs. In this context, intelligent charging scheduling can considerably reduce the plug-in electric vehicle (PEV) charging cost. This is especially the case as more and more PEVs are charged in buildings that are also equipped with grid-connected intermittent energy resources (IERs) (e.g., photovoltaic systems and wind turbine generators). In this work, we propose a novel and complete intelligent PEV charging scheduling system (tailored for domestic settings) that can account for peak demand charges, time-varying tariffs, and/or export tariffs, appropriately considering both potential IER generation and the rest of a building's consumption. The backbone of our approach builds on adaptive model predictive control, and includes an efficient depth-first-search-based PEV charging planning algorithm that we propose. Importantly, our approach does not rely on a simplified linear modeling of the charging dynamics, which is a typical and limiting assumption of such systems. We evaluate our approach with real data, considering both solar and wind IER generation capacity, to show that it can reduce the cost of charging by up to similar to 5% and similar to 35% in the United States and the United Kingdom domestic settings, respectively, compared to standard PEV charging practices.

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