首页> 外文会议>2012 IEEE PES Transmission and Distribution Conference and Exposition >Data mining techniques contributions to support electrical vehicle demand response
【24h】

Data mining techniques contributions to support electrical vehicle demand response

机译:数据挖掘技术对支持电动汽车需求响应的贡献

获取原文
获取原文并翻译 | 示例

摘要

The introduction of Electric Vehicles (EVs) together with the implementation of smart grids will raise new challenges to power system operators. This paper proposes a demand response program for electric vehicle users which provides the network operator with another useful resource that consists in reducing vehicles charging necessities. This demand response program enables vehicle users to get some profit by agreeing to reduce their travel necessities and minimum battery level requirements on a given period.
机译:电动汽车(EV)的引入以及智能电网的实施将给电力系统运营商带来新的挑战。本文提出了一种针对电动汽车用户的需求响应程序,该程序为网络运营商提供了另一种有用的资源,它可以减少汽车的充电需求。该需求响应程序通过同意在给定时间段内减少出行需求和最低电池电量要求,使车辆用户能够从中获利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号