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Efficient allocation of electric vehicle charging stations (EVCSs) is crucial to promote widespread adoption of electric vehicles, to support sustainable transportation, and to reduce range anxiety. Thus, it enhances energy security and mitigates environmental impact. In this work, EVCSs are optimally distributed across a superimposed road and distribution network with a focus on electric vehicle (EV) user's convenience to reach charging station. The allocation problem has primarily been solved by taking into account nodal cost and vehicular uncertainty. The process also considered minimizing fundamental energy and harmonic losses in the distribution network. The quantity of charging ports is a crucial consideration that is frequently overlooked during the allocation process. Optimal port allocation not only helps in determining the waiting time of each EV user reaching that charging station but also reduces the burden on the distribution network of excessive port in a charging station. In this instance, the cost of installing the charging port is taken into account and optimized. An additional fee to the charging station has been imposed as an additional expenditure for the distribution losses caused by the inclusion of the charging station in the network. The suggested method has been implemented on MATLAB platform and tested on a practical distribution network with 40 buses. Outcomes are encouraging and the methodology may be applied to solve similar problems for practical systems.
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Brahmachary et al. (2024) studied this question.
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