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Coordinated Scheduling of Electric Vehicles Within Zero Carbon Emission Hybrid AC/DC Microgrids
Open accessAbstract
Microgrids with AC/DC architecture benefit from advantages of both AC and DC power. In this paper, daily operation problem for a zero-carbon AC/DC microgrid in presence of electric vehicles (EVs) is considered. In this framework, EVs' batteries are mobile energy storage systems, which allow desirable operation of the microgrid during peak demand hours. This study shows in absence of storage system, EVs' batteries can be properly managed to satisfy the system requirements. In the case studies, several sensitivity analyses based on variations in battery degradation costs, solar irradiance, and inverter capacity are investigated.
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Vehicles with low state-of-charge tend to start charging with high current draw and thus contribute disproportionately to peak loads.
“This is true for vehicles with low state-of-charge (SOC), which tend to start charging with high current draw thus contribute disproportionately to peak loads [10].”
From Economic Impacts and Mitigation for the Grid Connected Electric Vehicle Charging: A Technical and Operational Overview (2026) · cites this paper as [10]
The normal-operation discussion (p. 3) gives a maximum EV charging rate, and the supply-demand discussion (p. 4) describes when EVs charge. Neither links low state-of-charge to higher initial current draw or a disproportionate contribution to peak loads. Searches for low SOC, charging current, and peak demand found no passage making that connection. (LLM, conf=0.76)
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Research works printed but not linked: 15
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- rahmanzadeh, 2018, Optimal energy management of microgrid based on fcchp in the presence of electric and thermal loads considering energy storage systems
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- bayani, 2021, Autonomous charging of electric vehicle fleets to enhance renewable generation dispatchability, CSEE Journal of Power and Energy Systems
Cited by
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Ikhajangbe, O. E., Dhulipati, H., & Liu, S. (2026) · IEEE Access · doi:10.1109/access.2026.3684508 · Cited by 5
Metadata
- Authors
- Bayani, R., Soofi, A. F., & Manshadi, S. D.
- Affiliations
- University of California San Diego (US)
- San Diego State University (US)
- Venue
- 2021 IEEE Transportation Electrification Conference & Expo (ITEC)
- Publisher
- IEEE
- Published
- 2021-06-21
- Pages
- 1-6
- OpenAlex
- W3175388899
- Cited by
- 8
- References
- 0
- Citations by year
- 2024: 2 · 2023: 3 · 2022: 2 · 2021: 1
- FWCI
- 3.14
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- IEEE Transportation Electrification Conference and Expo (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Physical Sciences › Engineering › Control and Systems Engineering › Microgrid Control and Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Keywords
- electric vehicle scheduling, hybrid AC/DC microgrid, EV battery energy storage, mobile energy storage, peak shaving, battery degradation cost, solar irradiance, inverter capacity
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