期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
Analytical Modeling and Experimental Validation of Electromagnetic Field Radiated by In-house PLC Lines
1
作者 D. Chariag J-C. LeBunetel +3 位作者 K. Khalil Y. Raingeaud M. Machmoum P. Guerin 《Journal of Control Science and Engineering》 2016年第2期61-70,共10页
Broadband PLC (power line communication) technology is a main factor of the development of digital convergence in the indoor network. It uses the already existing power cable infrastructure for communication purpose... Broadband PLC (power line communication) technology is a main factor of the development of digital convergence in the indoor network. It uses the already existing power cable infrastructure for communication purposes. The EM (electromagnetic) field radiating from the cable could, however, disturb other communication systems, and thus should be evaluated. The MoM (method of moment) and the FEM (finite element method) have been studied to estimate the EVI field emitted from the power cable. However, the M oM is difficult to treat the dielectric material of the cable and the FEM is time consuming. This paperpresents a new approach to estimate the radiated EM fields caused by PLC sy stems from the CM current along the cable, based on the transmission line theory. The proposed model has the advantage of using the measured primary parameters of the cable. An experimental analysis of the EM radiation distribution is also presented. A comparison showed that the model results agree quite well with the measurements performed in this study. 展开更多
关键词 PLC EM field transmission line theory primary parameters.
下载PDF
基于马尔科夫状态转移的家居负荷预测模型 被引量:2
2
作者 邵传雍 杜兆斌 +1 位作者 Eric CHAUVEAU 陈丽丹 《电力需求侧管理》 2021年第1期55-60,共6页
智能配电网的发展增强了家居负荷预测的重要性。基于状态转移的研究思路,提出基于相似日选择的蒙特卡洛马尔科夫单个设备负荷预测模型,采用自下而上的分析方法,获取单个家庭的综合负荷水平。对温控类型设备,采用皮尔逊相关系数研究了环... 智能配电网的发展增强了家居负荷预测的重要性。基于状态转移的研究思路,提出基于相似日选择的蒙特卡洛马尔科夫单个设备负荷预测模型,采用自下而上的分析方法,获取单个家庭的综合负荷水平。对温控类型设备,采用皮尔逊相关系数研究了环境温度与设备运行周期之间的相关性,建立了隐马尔科夫模型,依据当天外界环境信息对温控类型设备的压缩机运行状态做出预测,进一步计算了不同时间段内的平均功率体现用户负荷水平。仿真结果表明,基于相似日选取的蒙特卡洛马尔科夫模型对不同设备的日平均负荷的预测误差约为2%~8%,而隐马尔科夫模型对温控类设备状态预测的精度约为70%。 展开更多
关键词 家庭负荷 负荷预测 运行状态预测 马尔科夫链 隐马尔科夫模型
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部