area-load

所属分类:人工智能/神经网络/深度学习
开发工具:matlab
文件大小:1KB
下载次数:538
上传日期:2013-11-11 16:15:11
上 传 者lhjapple
说明:  电动汽车是智能电网的一个重要组成部分,能很好的解决能源紧缺,环境污染等问题。无线充电技术更有利于电动汽车与电网进行互动,更好的发挥电动汽车削峰填谷、消纳可再生能源的功能。本文在研究中国电动汽车发展相关政策的基础上,结合电动汽车无线充电的特点,基于统计数据,利用蒙特卡罗方法抽取私家电动汽车一次出行里程数,根据电池充电特性及车辆行驶习惯获得电动汽车充电的起始荷电状态、充电功率和起始充电时间,建立了一个较为精确的预测无线充电私家电动汽车充电负荷的数学模型,并对2015年和2020年私家电动汽车进行了充电负荷的预测。大量电动汽车的接入将对电网的运行和规划带来较大的影响,对未来电动汽车充电负荷水平进行计算和分析将有利于智能电网的建设和调度。
(Electric cars are the smart grid is an important part of a good solution to energy shortages, environmental pollution and other issues. Wireless charging technology is more conducive to interact with the grid electric cars, electric vehicles play better load shifting, renewable energy consumptive functions. This paper studies the development of electric vehicles in China on the basis of relevant policies, combined with the characteristics of wireless charging of electric vehicles, based on statistical data, using the Monte Carlo method for extracting a private electric car trip mileage, according to the vehicle battery charging characteristics and habits to get electric cars the initial charge state of charge, charging time charging power and start to build up a more accurate prediction of private wireless charging electric vehicle charging load mathematical model, and in 2015 and 2020 conducted a private electric vehicle charging load forecasting . A large number of electric vehicles )

文件列表:
area load\areaload.m (4434, 2013-09-27)
area load (0, 2013-11-11)

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