DQ-Frame Modeling of an Active Power Filter Integrated With a Grid-Connected, Multifunctional Electric Vehicle Charging Station

2013 ◽  
Vol 28 (12) ◽  
pp. 5702-5716 ◽  
Author(s):  
Russell Crosier ◽  
Shuo Wang
2014 ◽  
Vol 615 ◽  
pp. 48-51
Author(s):  
Chang Ping Wang ◽  
Shuo Zeng ◽  
Jie Liu

The electric vehicle (EV) charging stake is widely used for recharging the electric car batteries. The charging stake generally adopts switching power supply technology. It will cause serious harmonic pollution to power systems and consume lots of reactive power. Therefore, this dissertation focuses on the active power filter (APF) for the EV charging stake. Firstly, the principle of the APF are briefly introduced. Secondly, the main design and the technical difficulties are illustrated in detail. The controller of the APF is based on the DSP and the model is TMS320F2812. At last, this study is simulated in Matlab and a prototype is constructed. The simulation and the experimental results prove that the APF can functions well for the electric vehicle charging stake. It has achieved the national power quality standard.


2013 ◽  
Vol 724-725 ◽  
pp. 1459-1464
Author(s):  
Quan Liu ◽  
Xiang Ning Xiao ◽  
Zheng Chen

According to power capacity shortage and harmonic pollution caused by the development of electric vehicles (EV), a photovoltaic (PV) charging system with the function of active power filter (APF) is designed. The system could provide charging power and harmonic compensation for electric vehicle charging machines at the same time. When sunlight is insufficient the PV charging system could continue to work in APF mode. In this paper, detailed analyses of system structure and control algorithms are given. Finally, the proposed system is simulated in PSCAD/EMTDC, and the simulation results validate the correctness and feasibility.


2021 ◽  
Vol 13 (11) ◽  
pp. 6163
Author(s):  
Yongyi Huang ◽  
Atsushi Yona ◽  
Hiroshi Takahashi ◽  
Ashraf Mohamed Hemeida ◽  
Paras Mandal ◽  
...  

Electric vehicle charging station have become an urgent need in many communities around the world, due to the increase of using electric vehicles over conventional vehicles. In addition, establishment of charging stations, and the grid impact of household photovoltaic power generation would reduce the feed-in tariff. These two factors are considered to propose setting up charging stations at convenience stores, which would enable the electric energy to be shared between locations. Charging stations could collect excess photovoltaic energy from homes and market it to electric vehicles. This article examines vehicle travel time, basic household energy demand, and the electricity consumption status of Okinawa city as a whole to model the operation of an electric vehicle charging station for a year. The entire program is optimized using MATLAB mixed integer linear programming (MILP) toolbox. The findings demonstrate that a profit could be achieved under the principle of ensuring the charging station’s stable service. Household photovoltaic power generation and electric vehicles are highly dependent on energy sharing between regions. The convenience store charging station service strategy suggested gives a solution to the future issues.


2021 ◽  
Vol 12 (3) ◽  
pp. 107
Author(s):  
Tao Chen ◽  
Peng Fu ◽  
Xiaojiao Chen ◽  
Sheng Dou ◽  
Liansheng Huang ◽  
...  

This paper presents a systematic structure and a control strategy for the electric vehicle charging station. The system uses a three-phase three-level neutral point clamped (NPC) rectifier to drive multiple three-phase three-level NPC converters to provide electric energy for electric vehicles. This topology can realize the single-phase AC mode, three-phase AC mode, and DC mode by adding some switches to meet different charging requirements. In the case of multiple electric vehicles charging simultaneously, a system optimization control algorithm is adopted to minimize DC-bus current fluctuation by analyzing and reconstructing the DC-bus current in various charging modes. This algorithm uses the genetic algorithm (ga) as the core of computing and reduces the number of change parameter variables within a limited range. The DC-bus current fluctuation is still minimal. The charging station system structure and the proposed system-level optimization control algorithm can improve the DC-side current stability through model calculation and simulation verification.


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