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International Journal of Sustainable Infrastructure for Cities and Societies

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Published

2023-11-26

Issue

Vol. 8 No. 11 (2023): IJSICS-November

Section

Articles

How to Cite

Singhania, A. (2023). Charge Scheduling and Load Management Strategies for Large-Scale Electric Vehicle Fleets. International Journal of Sustainable Infrastructure for Cities and Societies, 8(11), 29–41. Retrieved from https://vectoral.org/index.php/IJSICS/article/view/86

Charge Scheduling and Load Management Strategies for Large-Scale Electric Vehicle Fleets

Arjun Singhania

Independent Researcher

Abstract

The widespread adoption of electric vehicles (EVs) is essential for reducing greenhouse gas emissions and mitigating the environmental impact of transportation. However, the integration of large-scale EV fleets into the existing power grid presents significant challenges in terms of load management and grid stability. Uncoordinated charging of EVs can lead to excessive peak demands, grid congestion, and increased operational costs for utility companies. This research investigates charge scheduling algorithms and load management strategies to optimize the charging process of EV fleets while ensuring efficient grid utilization and minimizing costs. Several charge scheduling approaches are explored, including centralized optimization models, decentralized techniques, and machine learning-based methods. These algorithms aim to minimize charging costs, maximize grid stability, and ensure fair allocation of charging resources among EVs. Additionally, load management strategies such as dynamic pricing, vehicle-to-grid (V2G) technology, and the integration of renewable energy sources are examined to shape the demand profile and improve grid utilization. The performance of the proposed charge scheduling algorithms and load management strategies is evaluated through simulations and case studies based on real-world EV fleet data. The results demonstrate the potential for significant cost savings, peak demand reduction, and environmental impact mitigation. Furthermore, the role of communication infrastructure and cyber-security measures in enabling efficient charge scheduling and load management systems is discussed. This research provides valuable insights and recommendations for utilities, fleet operators, and policymakers to facilitate the successful integration of EVs into the power grid while minimizing operational costs and environmental impact. Future research directions, including the integration of autonomous driving, advanced energy storage solutions, and blockchain technology for decentralized charge scheduling, are also explored.

Author Biography

Arjun Singhania, Independent Researcher

 

 

 

 

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Submission Guidelines for the Journal of Quarterly Journal of Emerging Technologies and Innovations (IJSICS) General Guidelines:

  1. Article Types: We accept a variety of article types including Original Research Articles, Review Papers, Short Reports, and Opinion Pieces.

  2. Language: Manuscripts must be written in English, and should be clear, concise, and free of jargon.

  3. Length: There is no strict word limit, but Original Research Articles should generally be between 4,000 and 10,000 words, including references.

  4. Formatting: Manuscripts should be submitted as a single Word or LaTeX document, formatted in double-spaced 12-point font.

  5. Abstract: An abstract of 250-300 words is required for all submissions, summarizing the key objectives, methods, findings, and implications of the research.

Manuscript Structure:

  • Title Page: Must include the title, author names, affiliations, and contact information for the corresponding author.

  • Introduction: Provide background, state the problem, and outline objectives.

  • Methods: Detail the methods and tools used in your research.

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  • Discussion: Interpret results, discuss their impact, and suggest future research directions.

  • Conclusion: Summarize the main points of the paper.

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Authors must ensure that their research adheres to ethical standards and that informed consent has been obtained for any human or animal subjects involved.

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The Journal of Computational Social Dynamics uses plagiarism detection software. Any manuscript found to include plagiarized content will be rejected.

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For any questions or concerns, please contact the editorial office at editorial@vectoral.org. Thank you for considering the IJSICS as a venue for your research.

Published by Vectoral Publishing, the International Journal of Sustainable Infrastructure for Cities and Societies maintains high standards in peer-review and scientific inquiry. Authors who wish to submit manuscripts should adhere to the guidelines detailed on our website, www.vectoral.org/QJETI. Vectoral Publishing does not bear any responsibility for the accuracy of information or for any outcomes related to the use of the research published. For editorial correspondence and submissions, please reach out to editorial@vectoral.org.