检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:袁中琛[1] 杜明[1] 韩磊[1] 黄潇潇[1] YUAN Zhongchen;DU Ming;HAN Lei;HUANG Xiaoxiao(State Grid Tianjin Electric Power Company,Tianjin 300384,China)
出 处:《自动化与仪器仪表》2020年第5期193-196,共4页Automation & Instrumentation
基 金:新能源发电站多点接入及容量累积对城市电网调度运行的影响研究(No.KJ18-1-05)。
摘 要:目前传统的电压浪涌故障检测方法因冗余信息的干扰,难以与其它故障区别出来,造成其检测辨识能力较差。为此设计一种电网电能质量补偿器电压浪涌故障检测方法。通过提取的电压浪涌电动势和磁场特征,进行故障信息聚类,将故障信息分辨矩阵与故障信息熵相结合,形成故障属性并进行约束,防止冗余信息的产生,将故障属性中的特征向量转化为识别向量,利用识别向量对电压浪涌故障进行检测。实验结果表明:在1.75 kV输出电压的实验环境中,与传统的故障检测方法相比,提出的电压浪涌故障检测方法减少了冗余信息的干扰,能够准确地检测出电压浪涌故障,辨识能力较强,适合应用在电网电能质量补偿器电压浪涌故障检测中。At present,the traditional voltage surge fault detection method is difficult to distinguish from other faults due to the interference of redundant information,which leads to its poor detection and identification ability.A voltage surge fault detection method for power quality compensator is designed.By extracting the voltage surge of electromotive force and magnetic field characteristics of fault information clustering,the fault information resolution matrix and the fault information entropy are combined,the fault properties and constraints are formed to prevent the generation of redundant information,identify characteristic vector of fault attribute can be converted to vector,and the recognition vector of voltage surge fault detection is used.The experimental results show that the output voltage of 1.75 kV experimental environment,compared with the traditional fault detection method,voltage surge of fault detection method is put forward can reduce the interference of redundant information,can accurately detect the voltage surge fault.It has strong ability to identify,and it’s suitable for application in the power grid power quality compensator voltage surge in fault detection.
分 类 号:TP274[自动化与计算机技术—检测技术与自动化装置]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.3