research-article

Smoothed Least-laxity-first Algorithm for EV Charging

Authors:

Yorie Nakahira,

Steven H. LowAuthors Info & Claims

e-Energy '17: Proceedings of the Eighth International Conference on Future Energy Systems

Pages 242 - 251

https://doi.org/10.1145/3077839.3077864

Published: 16 May 2017 Publication History

Abstract

We formulate EV charging as a feasibility problem that meets all EVs' energy demands before departure under charging rate constraints and total power constraint. We propose an online algorithm, the smoothed least-laxity-first (sLLF) algorithm, that decides on the current charging rates based on only the information up to the current time. We characterize the performance of the sLLF algorithm analytically and numerically. Numerical experiments with real-world data show that it has significantly higher rate of generating feasible EV charging than several other common EV charging algorithms.

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Strobel LPruckner M(2024)Benchmarking Aggregation-Disaggregation Pipelines for Smart Charging of Electric VehiclesProceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems10.1145/3632775.3661946(84-96)Online publication date: 4-Jun-2024
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cover image ACM Conferences

e-Energy '17: Proceedings of the Eighth International Conference on Future Energy Systems

May 2017

388 pages

ISBN:9781450350365

DOI:10.1145/3077839

Copyright © 2017 ACM.

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New York, NY, United States

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Published: 16 May 2017

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e-Energy '17

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e-Energy '17: The Eighth International Conference on Future Energy Systems

May 16 - 19, 2017

Shatin, Hong Kong

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Overall Acceptance Rate 160 of 446 submissions, 36%

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Cited By

Zheng LWei GZhang KChu H(2024)Traffic Classification and Packet Scheduling Strategy with Deadline Constraints for Input-Queued Switches in Time-Sensitive NetworkingElectronics10.3390/electronics1303062913:3(629)Online publication date: 2-Feb-2024
https://doi.org/10.3390/electronics13030629
Strobel LPruckner M(2024)Benchmarking Aggregation-Disaggregation Pipelines for Smart Charging of Electric VehiclesProceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems10.1145/3632775.3661946(84-96)Online publication date: 4-Jun-2024
https://dl.acm.org/doi/10.1145/3632775.3661946
Jaworski JZheng NPreindl MXu B(2024)Vehicle-to-Grid Fleet Service Provision Considering Nonlinear Battery BehaviorsIEEE Transactions on Transportation Electrification10.1109/TTE.2023.330523510:2(2945-2955)Online publication date: Jun-2024
https://doi.org/10.1109/TTE.2023.3305235
Aghsaee RHecht CSchwinger FFiggener JJarke MSauer D(2023)Data-Driven, Short-Term Prediction of Charging Station OccupationElectricity10.3390/electricity40200094:2(134-153)Online publication date: 25-Apr-2023
https://doi.org/10.3390/electricity4020009
Shao SSartipizadeh HGupta A(2023)Scheduling EV Charging Having Demand With Different Reliability ConstraintsIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.327907024:10(11018-11029)Online publication date: Oct-2023
https://doi.org/10.1109/TITS.2023.3279070
Hoogsteen GWinschermann LNijenhuis BArias NHurink J(2023)Robust and Predictive Charging of Large Electric Vehicle Fleets in Grid Constrained Parking Lots2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)10.1109/SmartGridComm57358.2023.10333900(1-6)Online publication date: 31-Oct-2023
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Rajagopalan PThornby JRanganathan P(2023)Short- Term Electric Vehicle Demand Forecasts and Vehicle-to-Grid (V2G) Idle- Time Estimation Using Machine Learning2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC)10.1109/CCWC57344.2023.10099356(1279-1286)Online publication date: 8-Mar-2023
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Gharibi MNafisi HAskarian-abyaneh HHajizadeh A(2023)Deep learning framework for day-ahead optimal charging scheduling of electric vehicles in parking lotApplied Energy10.1016/j.apenergy.2023.121614349(121614)Online publication date: Nov-2023
https://doi.org/10.1016/j.apenergy.2023.121614
Ferragut ANarbondo LPaganini F(2022)Scheduling EV charging with uncertain departure timesACM SIGMETRICS Performance Evaluation Review10.1145/3529113.352911749:3(10-15)Online publication date: 25-Mar-2022
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Munir MKim KThar KNiyato DHong C(2022)Risk Adversarial Learning System for Connected and Autonomous Vehicle ChargingIEEE Internet of Things Journal10.1109/JIOT.2022.31490389:16(15184-15203)Online publication date: 15-Aug-2022
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