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


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.

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

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Correspondence to George Fernandez Savari.

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Hourly output power of the various DG sources

Table 12 Hourly output power of the various DG sources

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Savari, G.F., Krishnasamy, V., Sugavanam, V. et al. Optimal Charging Scheduling of Electric Vehicles in Micro Grids Using Priority Algorithms and Particle Swarm Optimization. Mobile Netw Appl 24, 1835–1847 (2019). https://doi.org/10.1007/s11036-019-01380-x

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  • Charging stations
  • Electric vehicles
  • Microgrid
  • Optimization
  • Priority algorithms