scholarly journals Research on Coordinated Charging Control Strategy Load Optimization of Electric Vehicles in Residential Area

2020 ◽  
Vol 510 ◽  
pp. 062030
Author(s):  
Yingqiu Wang ◽  
Jian Zhang ◽  
Lei Li ◽  
Jing Zhang ◽  
Weidong Liu ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Control Strategy ◽  
Residential Area ◽  
Load Optimization ◽  
Charging Control ◽  
Coordinated Charging

scholarly journals A Bidirectional Power Charging Control Strategy for Plug-in Hybrid Electric Vehicles

2019 ◽  
Vol 11 (16) ◽  
pp. 4317 ◽  
Author(s):  
Fazel Mohammadi ◽  
Gholam-Abbas Nazri ◽  
Mehrdad Saif
Keyword(s):  
Electric Vehicles ◽  
Control Strategy ◽  
Wind Farm ◽  
Hybrid Electric Vehicles ◽  
Test System ◽  
Frequency Regulation ◽  
Diesel Generator ◽  
Peak Reduction ◽  
Charging Control ◽  
Hybrid Electric

Plug-in Hybrid Electric Vehicles (PHEVs) have the potential of providing frequency regulation due to the adjustment of power charging. Based on the stochastic nature of the daily mileage and the arrival and departure time of Electric Vehicles (EVs), a precise bidirectional charging control strategy of plug-in hybrid electric vehicles by considering the State of Charge (SoC) of the batteries and simultaneous voltage and frequency regulation is presented in this paper. The proposed strategy can control the batteries charge which are connected to the grid, and simultaneously regulate the voltage and frequency of the power grid during the charging time based on the available power when different events occur over a 24-h period. The simulation results prove the validity of the proposed control strategy in coordinating plug-in hybrid electric vehicles aggregations and its significant contribution to the peak reduction, as well as power quality improvement. The case study in this paper consists of detailed models of Distributed Energy Resources (DERs), diesel generator and wind farm, a generic aggregation of EVs with various charging profiles, and different loads. The test system is simulated and analyzed in MATLAB/SIMULINK software.

scholarly journals Research on ISFLA-Based Optimal Control Strategy for the Coordinated Charging of EV Battery Swap Station

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Xueliang Huang ◽  
Hao Qiang ◽  
Qidong Zhang ◽  
Haijuan Li
Keyword(s):  
Optimal Control ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Optimization Method ◽  
Shuffled Frog Leaping Algorithm ◽  
Optimal Control Strategy ◽  
Load Fluctuation ◽  
Shuffled Frog Leaping ◽  
Coordinated Charging ◽  
Daily Load

As an important component of the smart grid, electric vehicles (EVs) could be a good measure against energy shortages and environmental pollution. A main way of energy supply to EVs is to swap battery from the swap station. Based on the characteristics of EV battery swap station, the coordinated charging optimal control strategy is investigated to smooth the load fluctuation. Shuffled frog leaping algorithm (SFLA) is an optimization method inspired by the memetic evolution of a group of frogs when seeking food. An improved shuffled frog leaping algorithm (ISFLA) with the reflecting method to deal with the boundary constraint is proposed to obtain the solution of the optimal control strategy for coordinated charging. Based on the daily load of a certain area, the numerical simulations including the comparison of PSO and ISFLA are carried out and the results show that the presented ISFLA can effectively lower the peak-valley difference and smooth the load profile with the faster convergence rate and higher convergence precision.

An Adaptive Charging Control Strategy for Electric Vehicles Based on Wi-Fi Technology

2013 ◽  
Vol 860-863 ◽  
pp. 1153-1158
Author(s):  
Shi Ming Xu ◽  
Wan Xi ◽  
Liu Shuo ◽  
Wu Feng
Keyword(s):  
Adaptive Control ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Load Control ◽  
Electric Vehicle Charging ◽  
Power Load ◽  
Charging Control ◽  
Vehicle Charging ◽  
Exchange Parameters

The uncertainty of driving area, the power load control of charging facility and charging rates make electric vehicles(EVs) facing different charging facilities, so it is necessary to control charging in the charging process. An adaptive electric vehicle charging control strategy was proposed in this paper. The strategy uses wifi for communication, communicating with charging pile through wifi, charging facilities and electric vehicles can exchange parameters to achieve adaptive control of the charging process. And experiment was conducted for verification.

Sign in / Sign up

Export Citation Format

Share Document