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Heuristics for multi-objective operation of EV charging stations based on Chicken Swarm Optimization

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  • Sachan, Sulabh

Abstract

The emissions of greenhouse gasses and high vehicle operating cost are the widespread issues, majorly derived by the large number of conventional fossil-fuel based vehicles. This had led many automobile manufacturers to move towards electric vehicles (EVs). However, EVs significantly impact the power grid because of the energy needed to re-energize their batteries. This study introduces an effective multi-objective function that utilizes Chicken Swarm Optimization (CSO) to perform the optimal operation for the Charging Stations (CSs) within the distribution network. The aim here is to reduce the power losses, the average voltage deviation index (AVDI), voltage stability index (VSI), and the impact of harmonic distortion. The simulations are conducted on 69-bus radial distribution network.

Suggested Citation

  • Sachan, Sulabh, 2024. "Heuristics for multi-objective operation of EV charging stations based on Chicken Swarm Optimization," Energy, Elsevier, vol. 313(C).
    • Handle: RePEc:eee:energy:v:313:y:2024:i:c:s0360544224035278
    DOI: 10.1016/j.energy.2024.133749
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    References listed on IDEAS

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