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• W2602458443 abstract "This paper investigates three different strategies for centralized charging/discharging management of electric vehicles, their features and the impacts on technical performance of distribution systems. Three goals of load factor maximization, load variance reduction and energy loss minimization are chosen as the main technical factors need to be optimized in the proposed electric vehicles charging/discharging management strategies. In this regard, at first, the mathematical model of these strategies for both cases of with/without vehicle-to-grid (V2G) programs are extracted. Then, solving procedure of the attained optimization problems with different optimization methods are explained. These algorithms are demonstrated on the IEEE 34-bus test system to comprehensively compare various features of these algorithms. The obtained results indicate that load variance reduction criterion has the best performance among the proposed algorithms and can be employed as an efficient tool for charging/discharging management of electric vehicles, especially in real-time PHEVs dispatching applications." @default.
• W2602458443 created "2017-04-07" @default.
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• W2602458443 date "2016-12-01" @default.
• W2602458443 modified "2023-09-25" @default.
• W2602458443 title "Charging/discharging management of electric vehicles: technical viewpoint" @default.
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• W2602458443 doi "https://doi.org/10.1109/sgc.2016.7882943" @default.
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