吉林大学学报(理学版)

• 计算机科学 • 上一篇    下一篇

面向家庭用户的用电负荷分解方法

娄建楼, 于华涛, 曲朝阳   

  1. 东北电力大学 信息工程学院, 吉林 吉林 132012
  • 收稿日期:2014-12-17 出版日期:2015-07-26 发布日期:2015-07-27
  • 通讯作者: 于华涛 E-mail:yuhuataonedu@126.com

Load Decomposition Method for Nonintrusive Household System

LOU Jianlou, YU Huatao, QU Zhaoyang   

  1. College of Information Engineering, Northeast Dianli University, Jilin 132012, Jilin Province, China
  • Received:2014-12-17 Online:2015-07-26 Published:2015-07-27
  • Contact: YU Huatao E-mail:yuhuataonedu@126.com

摘要:

针对现有非侵入式负荷分解方法存在的问题, 结合家用电器的负荷曲线特点, 提出一种基于进制拟合算法的非侵入式负荷分解方法. 该方法较好地解决了现有方法对负荷采集设备精度要求高和无法有效处理同种电器不同工作模式下的负荷分解问题. 实验表明, 该方法可准确判断出电器的开启时间、 已运行时间和电器的工作模式, 并很好地处理了同种电器投入使用的情况. 同时, 采用低速率采样, 所需数据可直接由通用智能电表获得, 减小了成本投入, 提高了用户参与智能用电的积极性.

关键词: 非侵入式, 家电负荷分解, 进制拟合算法, 低频率采样, 智能用电

Abstract:

To solve the problems of existed load decomposition methods with the load curve features considered, a nonintrusive processing method based on hex fitting algorithm was proposed. The problems to demand high precision load collection devices and effectively to deal with the same kind of electric appliances under different working modes have been solved. Experiments show that the proposed method could determine the open time, elapsed time and operating mode of electric appliances accurately and process well with the same kind of appliances under use conditions. Meanwhile, by the use of low\|rate sampling, the required data can be obtained directly from the universal smart meters, reducing the cost of inputs, improving users enthusiasm on intelligent electricity, which will provide the construction of smart grid with the basis data.

Key words: noninvasive, appliances load decomposition; , hex fitting algorithm, low frequency sampling, smart electric consuming

中图分类号: 

  • TP39