Optimal Charging Scheduling of Electric Vehicles in Micro Grids Using Priority Algorithms and Particle Swarm Optimization

  • George Fernandez SavariEmail author
  • Vijayakumar Krishnasamy
  • Vidyasagar Sugavanam
  • Kalyanasundaram Vakesan


The large-scale integration of electric vehicles (EVs) into modern power grid brings both challenges and opportunities to the performance of the systems. This paper presents an optimal static (when EV is stationary) charging scheduling scheme of EVs to minimize the charging cost while complying with the constraints related to the status of the charging station. The proposed systematic charging scheme is based on “Particle Swarm Optimization (PSO)”. It is compared with well-established algorithms such as “Arrival Time-Based priority (ATP) algorithm” and “SOC-Based Priority (SBP) algorithm”. In addition, a microgrid scenario is further considered for reducing the consumption of energy from the grid and also, reducing the charging cost by properly shifting the EV load. Based on the study carried out for a sample test cases considered, it is found that the proposed scheme has better performance compared to the existing schemes.


Charging stations Electric vehicles Microgrid Optimization Priority algorithms 



The authors would like to thank the respective editor and anonymous reviewers for theirconstructive comments and suggestions.

Compliance with ethical standards

Conflict of interest

The authors declare no conflict of interest.


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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Electrical and Electronics EngineeringSRM Institute of Science and TechnologyKattankulathurIndia

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