Enhanced AIMD-based decentralized residential charging of EVs
Open accessAbstract
Moving from combustion engine to electric vehicle (EV)-based transport is recognized as having a major role to play in reducing pollution, combating climate change and improving energy security. However, the introduction of EVs poses major challenges for power system operation. With increasing penetration of EVs, uncontrolled coincident charging may overload the grid and substantially increase peak power requirements. Developing smart grid technologies and appropriate charging strategies to support the role out of EVs is therefore a high priority. In this paper, we investigate the effectiveness of distributed additive increase and multiplicative decrease (AIMD) charging algorithms, as proposed by Stüdli et al. in 2012, at mitigating the impact of domestic charging of EVs on low-voltage distribution networks. In particular, a number of enhancements to the basic AIMD implementation are introduced to enable local power system infrastructure and voltage level constraints to be taken into account and to reduce peak power requirements. The enhanced AIMD EV charging strategies are evaluated using power system simulations for a typical low-voltage residential feeder network in Ireland. Results show that by using the proposed AIMD-based smart charging algorithms, 50% EV penetration can be accommodated, compared with only 10% with uncontrolled charging, without exceeding network infrastructure constraints.
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Analysis of Decentralized AIMD-based EV Charging Control
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Decentralized Additive Increase and Multiplicative Decrease-Based Electric Vehicle Charging
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- Authors
- Liu, M., & McLoone, S.
- Affiliations
- National University of Ireland, Maynooth (IE)
- Queen's University Belfast (GB)
- Venue
- Transactions of the Institute of Measurement and Control
- Publisher
- SAGE Publications
- Published
- 2013-07-18
- Volume
- 37
- Issue
- 7
- Pages
- 853-867
- ISSN
- 0142-3312 (ISSN-L)
- 1477-0369
- OpenAlex
- W2167091275
- Cited by
- 36
- References
- 17
- Citations by year
- 2024: 1 · 2023: 1 · 2022: 3 · 2021: 3 · 2020: 5 · 2019: 9 · 2018: 4 · 2017: 2 · 2016: 2 · 2015: 1 · 2014: 3 · 2013: 2
- FWCI
- 1.60
- Type
- journal article
- Language
- en
- Open access
- green
- pure.qub.ac.uk
- Locations
- Transactions of the Institute of Measurement and Control (publishedVersion)
- Research Portal (Queen's University Belfast) (publishedVersion, other-oa)
- Funders
- Science Foundation Ireland (09/SRC/E1780, 11/PI/1177)
- H2020 European Research Council
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Keywords
- electric vehicle charging, residential EV charging, low-voltage distribution networks, peak power reduction, voltage constraints, EV penetration
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