基于分布式电流感应技术的非同质输电线路故障定位  

Fault Location of Non homogeneous Transmission Lines Based on Distributed Current Sensing Technology

在线阅读下载全文

作  者:周翔 ZHOU Xiang(Yunnan Power Grid Information Center,Kunming 650500,China)

机构地区:[1]云南电网有限责任公司信息中心,昆明650500

出  处:《自动化与仪器仪表》2024年第11期284-287,共4页Automation & Instrumentation

基  金:电网管理平台(基建域)个性化系统集成接口建设(059300HK23030116)。

摘  要:以往的非同质输电线路故障定位方法由于提取的故障数据特征不精准,导致方法的定位效果不佳。因此,设计了基于分布式电流感应技术的非同质输电线路故障定位方法。在分布式电流感应技术的作用下,采集非同质输电线路数据,并对采集的数据进行预处理,通过输电线路故障概率分布向量,计算出数据的信息熵指标,并由此计算相应的度量指标,提取出对应的故障数据特征,通过构建输电线路电力传输方程,得到相应的故障定位结果。通过上述的设计,完成对非同质输电线路故障定位方法的设计。在实验测试中,和以往的非同质输电线路故障定位方法相比,设计的基于分布式电流感应技术的非同质输电线路故障定位方法在实际应用中定位效果更好。Previous methods for fault location of non homogeneous transmission lines have poor localization performance due to inaccurate feature extraction of fault data.Therefore,a fault location method for non homogeneous transmission lines based on distributed current sensing technology was designed.Under the influence of distributed current sensing technology,non homogeneous transmission line data is collected and preprocessed.Through the distribution vector of transmission line fault probability,the information entropy index of the data is calculated,and the corresponding measurement index is calculated to extract the corresponding fault data features.By constructing the transmission line power transmission equation,the corresponding fault location results are obtained.Through the above design,the design of fault location methods for non homogeneous transmission lines is completed.In experimental testing,compared with previous non homogeneous transmission line fault location methods,the designed non homogeneous transmission line fault location method based on distributed current sensing technology has better positioning performance in practical applications.

关 键 词:分布式电流感应技术 非同质输电线路 故障定位方法 方法设计 

分 类 号:G642[文化科学—高等教育学] TP206[文化科学—教育学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象