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![]() |
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
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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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