中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Research and Analysis on the Identification Technology of User Group Network in Distribution Station Area

文献类型:会议论文

作者Zuo, Yue2; Cui SJ(崔世界)1,3; Zhang, Qi2; Zhu, Lianyong2
出版日期2020
会议日期December 19-20, 2020
会议地点Xi'an, China
关键词Distribution network station area user networking identification technology
页码1-6
英文摘要Due to frequent line reconstruction in the distribution station area, the lines between adjacent lines in the distribution station area are messy and the paths are illegible, so that it is difficult for power grid companies to obtain accurate line losses and cannot balance the load planning, which is not conducive to the station area. Local refined management and service levels have been improved. In order to solve this problem, many identification technologies for users in distribution network stations have been proposed. However, traditional identification technologies have problems such as low accuracy and poor detection failure. The most important thing is that it is difficult to demodulate and identify signals. In order to solve this problem, this paper uses an improved differential cross-correlation algorithm to demodulate and identify the signal, and the power communication technology that carries information by artificially generating small distortions of the grid voltage and current. The experimental results prove the feasibility of the method proposed in this paper. Sex and effectiveness.
产权排序2
会议录2020 6th International Conference on Environmental Science and Material Application - 3. Green Energy and Power Engineering
会议录出版者IOP
会议录出版地Bristol, UK
语种英语
ISSN号1755-1307
源URL[http://ir.sia.cn/handle/173321/28741]  
专题沈阳自动化研究所_工业控制网络与系统研究室
通讯作者Zuo, Yue
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.State Grid Huludao Power Supply Company, Huludao 125000, China
3.University of Chinese Academy of Sciences, Beijing 100049, China
推荐引用方式
GB/T 7714
Zuo, Yue,Cui SJ,Zhang, Qi,et al. Research and Analysis on the Identification Technology of User Group Network in Distribution Station Area[C]. 见:. Xi'an, China. December 19-20, 2020.

入库方式: OAI收割

来源:沈阳自动化研究所

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