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Power Management of a Smart Vehicle-to-Grid (V2G) System Using Fuzzy Logic Approach

Abstract : Smart charging/discharging of Plug-in Electric Vehicles (PEVs) is definitely able to bring a significant cost benefit for both EV station owners and EV owners as well. To this end, this paper develops a Mamdani-based fuzzy strategy with the inputs including the forecasted and real PV generation data, electricity price, and the instantaneous state-of-charging (SOC). Moreover, the output power of PEVs is considered as the output of the proposed strategy. In order to attain further smooth and accurate power sharing for PEVs, varied output rules are assigned commensurate with the rated power of each PEVs. In addition, another fuzzy strategy is developed using the instantaneous SOC error to establish a specified SOC for PEVs at the departure time. While two PV panel profiles are taken into account, Simulation in MATLAB/Simulink environment presents accurate and acceptable results from SOCs of PEVs, PEVs output power, prices and grid power.
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https://hal.archives-ouvertes.fr/hal-03410205
Contributor : Ahmad Hably Connect in order to contact the contributor
Submitted on : Sunday, October 31, 2021 - 12:08:52 PM
Last modification on : Tuesday, May 10, 2022 - 9:54:02 AM
Long-term archiving on: : Tuesday, February 1, 2022 - 6:09:40 PM

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Majid Mehrasa, Reza Razi, Khaled Hajar, Antoine Labonne, Ahmad Hably, et al.. Power Management of a Smart Vehicle-to-Grid (V2G) System Using Fuzzy Logic Approach. IECON 2021 - The 47th Annual Conference of the IEEE Industrial Electronics Society, Oct 2021, Toronto (virtual ), Canada. ⟨10.1109/IECON48115.2021.9589039⟩. ⟨hal-03410205⟩

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