| Issue |
E3S Web Conf.
Volume 692, 2026
3rd International Conference on Intelligent and Sustainable Power and Energy Systems (ISPES 2025)
|
|
|---|---|---|
| Article Number | 02001 | |
| Number of page(s) | 6 | |
| Section | Electronic and Electrical Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202669202001 | |
| Published online | 04 February 2026 | |
Electric Vehicle integration in Economic Load Dispatch with Renewable Energy Sources: A Systematic Literature Review
1 Research Scholar, EEE Department, Bharatiya Engineering Science & Technology Innovation University (BESTIU), Sri Satya Sai District, A.P., India
2 Professor, EEE Department, Gayathri Institute of Technology and Management, Telangana, India
3 Professor, EEE Department, SV College of Engineering, Tirupati, A.P., India
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Integration of Electric vehicles (EVs) and renewable energy sources (RES) into the power systems makes the economic load dispatch (ELD) problem becomes more complex. This research shows that EVs are evolving into manageable, bidirectional energy nodes equipped to both supplying and consuming power through Vehicle-to-Grid (V2G) systems. Under operating conditions, grid stability and EV charging are affected by the uncertainty of wind and solar energy sources. This review discusses efficient grid operation and smooth power dispatch using advanced optimization techniques, such as evolutionary algorithms, hybrid metaheuristic, and artificial neural networks. Key constraints include coordinated EV-RES arrangements, smart charging systems, and multi-objective formulations. Case studies in MATLAB indicate that battery aging, infrastructure limitations, and policy support remain significant challenges. The paper concludes by emphasizing the need for collaboration among researchers, industry, and policymakers to develop integrated, flexible ELD models for effective, economical, and ecological energy management
Key words: Electric vehicles / Renewable Energy Sources / Economic load dispatch / Vehicle-to-Grid / Evolutionary Algorithms
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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