Enabling mass integration of electric vehicles through distributed energy resource management systems
Open accessAbstract
Global initiatives are actively progressing to integrate large numbers of electric vehicles (EVs) as part of efforts to electrify and decarbonize the transportation sector. This approach plays a crucial role in addressing global greenhouse emissions and pollution problems. However, mass integration of EVs imposes unprecedented challenges to electrical power systems, especially to their distribution grids. These challenges range from planning issues, where the traditional panning procedures are not adequate for integration of EVs and their charging stations, to operational challenges, where a huge number of dispersed EVs can cause peak load increase, voltage violations, congestions, feeder overloads, etc. Hence, despite the significant importance of maximizing the deployment of EVs, their stochastic integration can give rise to critical challenges in electric power systems, thereby impeding their subsequent expansion. Therefore, in order to properly integrate mass amounts of EVs, without causing technical violations in the electrical power system, intelligent software tools are required, to aid distribution system operators and engineers in the transition to a new era of electrified transportation. In this paper, we argue that novel software solutions called Distributed Energy Resource Management Systems (DERMSs) are a key solution for enabling a safe integration of mass amounts of EVs into emerging distribution grids. Specifically, we introduce a novel Hybrid DERMS framework,…
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A real-world case study using state-of-the-art DERMS software demonstrates that the DERMS framework can integrate and manage a significant number of EVs in real-time without network reinforcement.
“A real-world case study [6] using state-of-the-art DERMS software dem onstrates that the DERMS framework can integrate and manage a sig nificant number of EVs in real-time without network reinforcement.”
From Improving distribution system flexibility using electric vehicles under the distributed energy resource management system framework (2026) · cites this paper as [6]
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- Authors
- Strezoski, L., & Stefani, I.
- Affiliations
- University of Novi Sad (RS)
- Corresponding author
- Strezoski, Luka
- Venue
- International Journal of Electrical Power & Energy Systems
- Publisher
- Elsevier BV
- Published
- 2024-06
- Volume
- 157
- Pages
- 109798
- ISSN
- 0142-0615 (ISSN-L)
- OpenAlex
- W4391067487
- Cited by
- 32
- References
- 52
- Citations by year
- 2026: 8 · 2025: 16 · 2024: 8
- FWCI
- 3.32
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- International Journal of Electrical Power & Energy Systems (publishedVersion, cc-by-nc-nd)
- 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 vehicles, distributed energy resource management systems, electric vehicle charging stations, distribution grid integration, peak load management, voltage violation mitigation, distribution network planning, electric mobility
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