摘要
针对中压配网拓扑线变异常难以排查、数据采集较为困难的问题,通过优化数字式无线传感器内部电路,提升传感器采集精度;采用5G非正交多址接入方式,使传感器采集数据传输到数据中心速率更快,传输节点更多;利用自适应节点调度算法对整体配网拓扑结构进行风险预测,通过计算各节点异常发生概率,针对性进行校正。通过MATLAB仿真对比,发现该研究采集精度整体更为精准,校正成功率更高。
Based on the difficulties to troubleshoot and collect data of medium-voltage distribution network topology line change,this research optimizes the sensor acquisition accuracy by optimizing the internal circuit of the digital wireless sensor;5G non-orthogonal multiple access mode is adopted to enable sensor collection to make the data transmission rate to the data center faster,and create more transmission nodes.The adaptive node scheduling algorithm is used to predict the risk of the overall distribution network topology,and the abnormal occurrence probability of each node is calculated to correct it in a targeted manner.Through MATLAB simulation and comparison,it is found that the acquisition accuracy of this study is more accurate overall,and the correction success rate is higher.
作者
董如春
吴岚
廖苏
张世权
DONG Ru-chun;WU Lan;LIAO Su;ZHANG Shi-quan(State Grid Anhui Electric Power Company Chuzhou Power Supply Company,Chuzhou 239000,Anhui Province,China;Hubei Chongguang Electric Co.,Ltd.,Wuhan 437000,China;Guangzhou HOKO Electric Co.,Ltd.,Guangzhou 510000,China)
出处
《信息技术》
2022年第8期167-172,178,共7页
Information Technology
关键词
配网拓扑线变结构
中压配网线变异常校正
数字式无线传感器
非正交多址接入方式
自适应节点调度算法
distribution network topology line variable structure
medium voltage distribution line anomaly correction
digital wireless sensor
non-orthogonal multiple access mode
adaptive node scheduling algorithm