Abstract
The increasing prevalence of commercial electric vehicles (CEVs) for ferrying passengers has become popular in recent times. This scenario strains the distribution system (DS) during the system charging cycle. However, the design becomes beneficial if the CEVs support the utility based on the needs. This work aims to efficiently schedule the operational modes of CEVs to decrease power loss in the DS in the presence of distributed generation (DG). The CEVs are modeled by considering the uncertainty in their travel patterns. This work proposes a combined approach to reduce power loss and enhance voltage quality by adopting internet of Things (IoT) enabling technologies. This method combines Voltage Stability Index (VSI), Q-learning method, and enhanced moth flame optimization (EMFO) for efficient operation of DS. The DS considers IoT-enabled EV charging stations (EVCSs), DGs, and CEVs for 3-way communication. Various case studies are presented to show the efficacy of the proposed technique compared to existing methods in the literature.
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