A Self-Optimizing Scheduling Model for Large-Scale EV Fleets in Microgrids

The increasing number of electric vehicles (EVs) demands management solutions to deal with the impacts of EV charging on the efficiency of distribution grids. Many suggested methods are derived from analysis on laboratory-scale systems with declared data, which cannot be implemented for real network...

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Veröffentlicht in:	IEEE transactions on industrial informatics 2021-12, Vol.17 (12), p.8177-8188
Hauptverfasser:	Rezaeimozafar, Mostafa, Eskandari, Mohsen, Savkin, Andrey
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Batteries Cluster analysis Clustering Clustering algorithms Computational modeling Distributed generation Electric vehicle (EV) Electric vehicle charging Energy costs improved k-means Microgrids Optimal scheduling Optimization Schedules Scheduling scoring system Vector quantization Vehicle-to-grid Vehicles
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