Electric Vehicle Charging Station Load Analyzing Based on Monte-Carlo Method

被引:0
作者
Vorobjovs, Maksims [1 ]
Berzina, Kristina [1 ]
Zirovecka, Anastasija [1 ]
机构
[1] Riga Tech Univ, Inst Ind Elect & Elect Engn, Riga, Latvia
来源
2018 20TH EUROPEAN CONFERENCE ON POWER ELECTRONICS AND APPLICATIONS (EPE'18 ECCE EUROPE) | 2018年
关键词
Electric vehicle; Charging station; load analyzing; Monte-Carlo method; Load Forecasting; ALGORITHM;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Taking into account the technological leap and the increased demand and production of electric vehicles, a study on the use of free power for charging of electric vehicles of the Riga Technical University, at the Faculty of Power and Electrical Engineering was conducted within the presented document. Also, a computer model of load demand for one charging unit was created to analyze quality of network parameters. This study uses statistics of load demand of charging unit for probabilistic forecasting of the load on a substation of 400 kVA and 630 kVA and determining the most optimal conditions of charging units for a particular station, using algorithm based on the Monte Carlo method. The algorithm described in detail is described in detail. Simulation was conducted on the basis of which it was concluded that if the charging station is located in a university campus or office center. It is necessary to organize switching on and off of charging points.
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页数:10
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