Efficient Power Management Algorithm Based on Fuzzy Logic Inference for Electric Vehicles Parking Lot

Smart grid is expected to support electric vehicles parking lots with the existing power line infrastructure. In order to support all electric-vehicles (EVs) users to complete their charging needs before leaving the parking lot, the power grid requires that the charging demands of EVs should be with...

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Vydané v:IEEE access Ročník 7; s. 65467 - 65485
Hlavní autori: Hussain, Shahid, Ahmed, Mohamed A., Kim, Young-Chon
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Piscataway IEEE 2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Algorithms
Batteries
Charging
Charging stations
Discharge
Electric power grids
Electric vehicles
fast charging stations
Fuzzy control
Fuzzy logic
fuzzy logic inference
Inference
Inference algorithms
Parameter uncertainty
Parking facilities
parking lot
Power lines
Power management
Power system management
Smart grid
Smart grids
System effectiveness
ISSN:2169-3536, 2169-3536
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Shrnutí:Smart grid is expected to support electric vehicles parking lots with the existing power line infrastructure. In order to support all electric-vehicles (EVs) users to complete their charging needs before leaving the parking lot, the power grid requires that the charging demands of EVs should be within the allowable power limit to avoid the grid overloading. This paper proposes a fuzzy logic inference based algorithm (FLIA) to manage the available power efficiently for EVs in the parking lot. The problem is mathematically formulated and solved by the credibility of the fuzzy inference mechanism to control charging and discharging of the EVs. The key idea is to introduce the fuzzy inference mechanism that evaluates several uncertain input parameters from the electric grid and from EVs to obtain an adequately accurate charging or discharging decision for each of the connected EVs. The proposed scheme is applied to a parking lot with different parking capacities and compared with the conventional-based systems. The simulation results demonstrated the feasibility and effectiveness of the proposed algorithm when dealing with the available power management and satisfying the EV user's requirements.
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ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2019.2917297