Multi-objective optimization framework for electric vehicle charging and discharging scheduling in distribution networks using the red deer algorithm.

ABSTRACT: This article addresses the optimization of the challenging electric vehicles (EVs) charging and discharging schedules in distribution networks, focusing on the needs of EV aggregators and household EV users. To contribute to this problem solving, a multi-objective framework for EV demands response in power systems, optimizing charging and discharging schedules while considering maximum load-handling capacity and EV users' state of charge (SoC) satisfaction as constraints are proposed. The framework employs a vehicle-to-grid (V2G) approach to achieve these goals. The proposed model, centered on aggregators and EV users, tackles issues such as power loss reduction, voltage profile enhancement, and optimal EV charging and discharging scheduling to maximize system performance. For this aim, we

SUBMITTER: Boubaker S 

PROVIDER: S-EPMC12006548 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature