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Optimal Scheduling of on-Street EV Charging Stations

descriptionPublicationkeyboard_double_arrow_right Conference object 25 Sep 2022 Turkey Publisher:IEEEJournal:2022 IEEE 20th International Power Electronics and Motion Control Conference (PEMC)

Authors: Akıl, Murat; Dokur, Emrah; Bayındır, Ramazan;

doi: 10.1109/pemc51159.2022.9962880

Optimal Scheduling of on-Street EV Charging Stations

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Abstract

© 2022 IEEE.The uncoordinated charging of Electric Vehicles (EVs) into the grid increases the stochastic rebound peak on the grid. These charging demands can strain grid equipment at the street charging points in an area. In this study, a smart coordination approach is proposed for charging process management by considering the parking times of EVs. EV types with different characteristics are used in the smart coordination approach. This approach limits the charging powers to the minimum value between the charging point and the EV maximum power ratio. Also, the approach using quadratic programming (QP) for charge scheduling of 20 EV minimizes the cost of daily charging via the Generic Algebraic Modeling System (GAMS). The results show that EV charges occur within the maximum allowable grid limits, reducing the cost of charging. Additionally, the proposed smart coordination prevented the occurrence of daily on-grid rebound peaks at street charging points in the area.

Country

Turkey

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Keywords

Quadratic Programming, Charge Scheduling, Smart Coordination, Rebound Peak, Electric Vehicles

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	2
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