Real-Time Control for Charging Discharging of Electric Vehicles in a Charging Station with Renewable Generation and Battery Storage

2021 ◽  
Author(s):  
Ubaid Qureshi ◽  
Arnob Ghosh ◽  
Bijaya Ketan Panigrahi
Keyword(s):  
Real Time ◽  
Electric Vehicles ◽  
Renewable Generation ◽  
Battery Storage ◽  
Real Time Control ◽  
Charging Station ◽  
Time Control

Applying fuzzy logic control to analyze real-time control for charging and discharging power of electric vehicles

2021 ◽  
pp. 1-7
Author(s):  
Feng Liu
Keyword(s):  
Fuzzy Logic ◽  
Real Time ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Fuzzy Logic Control ◽  
Power Grid ◽  
Regional Distribution ◽  
Real Time Control ◽  
Time Control ◽  
Logic Control

The disorderly charging of large-scale electric vehicles will aggravate the peak-valley difference of the power grid, and affect the power quality and life of the transformer. The fuzzy logic control strategy for charging and discharging optimization of charging vehicles under the framework of fuzzy logic control from the perspective of the group is considered in this article. A real-time control method based on the clustering characteristics of the charging end time is proposed according to the different charging requirements of the connected electric vehicles and fuzzy logic control is adopted to solve the problem of optimal charging and discharging power of the entire cluster and a single electric vehicle. A fuzzy logic control model considering the charging and discharging of electric vehicles is established orienting at minimize daily load fluctuations and control penalties in the upper layer. The charging and discharging cost of electric vehicle owners is considered to solve the optimal control problem of the charging and discharging power of a single electric vehicle. Taking the data of the typical regional distribution network load as an example, it is verified that the real-time charging optimization strategy under fuzzy logic control through simulation can ensure the reliable operation of the power grid while considering the interests of all parties.

Real-Time Control of an Electric Vehicle Charging Station While Tracking an Aggregated Power Setpoint

2020 ◽  
Vol 56 (5) ◽  
pp. 5750-5761
Author(s):  
Roman Rudnik ◽  
Cong Wang ◽  
Lorenzo Reyes-Chamorro ◽  
Jagdish Achara ◽  
Jean-Yves Le Boudec ◽  
...  
Keyword(s):  
Real Time ◽  
Electric Vehicle ◽  
Real Time Control ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Time Control ◽  
Vehicle Charging

scholarly journals Real-Time Control Strategy for Aggregated Electric Vehicles to Smooth the Fluctuation of Wind-Power Output

Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 757
Author(s):  
Zicong Yu ◽  
Ping Gong ◽  
Zhi Wang ◽  
Yongqiang Zhu ◽  
Ruihua Xia ◽  
...  
Keyword(s):  
Real Time ◽  
Wind Power ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Power Output ◽  
Distribution System ◽  
Stable Operation ◽  
Real Time Control ◽  
Power Distribution System ◽  
Time Control

Electric vehicles (EVs) are flexible demand-side response resources in a power distribution system. Reasonable and orderly control of charging/discharging processes of aggregated EVs can improve their coordination and interaction with the distribution system and ensure its efficient and stable operation. Aiming at the problem that the fluctuation of wind power output may affect the stable operation of distribution system, a real-time control strategy for aggregated EVs to smooth the fluctuation of wind power is proposed. Firstly, considering the dispatchability of EVs, the charging/discharging energy boundary model is established to determine the charging/discharging margin of an EV at each moment. Then, first-order low-pass filtering is used to determine the total dispatching power of aggregated EVs. Finally, the total charging power of aggregated EVs is determined and power allocation is carried out. Simulation results show that the proposed strategy can achieve real-time smoothing for the fluctuation of wind power output while meeting the charging requirements of EVs, and the proposed strategy can not only reduce the fluctuation rate of total load, but also realize peak shaving and valley filling for the distribution system.

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