首页|基于数据感知融合的电力通信网络智能运维

基于数据感知融合的电力通信网络智能运维

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受到电力通信网络中多因素及其结构复杂性的共同影响,传统运维方法在感知过程中极易受到电压异常信号与变压器异常信号扰动,造成网络全局感知出现偏差,严重影响整体运维效果.为了有效解决多因素造成的感知偏差问题,采用数据感知融合算法对电力通信网络下的电力参量进行感知优化,提升感知精准度,优化运维整体质量的效果.在提出的优化方案中,首先对电力通信网络安全态势感知范围进行确定,然后进行电力通信网络运行下的电压安全态势感知优化,接着基于数据感知融合算法对电力网络变压器安全态势感知参量进行定义,最后完成感知信息的数据感知融合计算.仿真结果表明,数据感知融合算法具备提升运维整体质量、降低运维过程中的感知偏差、提升感知灵敏度与精准度的能力.
Intelligent operation and maintenance of power communication network based on data perception fusion
Under the common influence of multiple factors and structural complexity in the power communication network,traditional operation and maintenance methods are vulnerable to the disturbance of abnormal voltage signal and abnormal transformer signal in the perception process,resulting in the global perception of the network and seri-ously affecting the overall operation and maintenance effect.In order to effectively solve the problem of perception bias caused by multiple factors,the data perception fusion algorithm was used to optimize the perception of the power parameters under the power communication network,so as to realize the effect of improving the perception accuracy and optimizing the overall quality of operation and maintenance.In the optimization scheme,the situational aware-ness scope of power communication network security was determined firstly.Secondly,the situational awareness of voltage security under power communication network operation was optimized.Thirdly,the security situational awareness parameters of power network transformer were defined based on the data perception fusion algorithm.Fi-nally,the data perception fusion calculation of perception information was completed.The simulation comparison test shows that the data perception fusion algorithm has the ability to improve the overall quality of operation and maintenance,reduce the perception deviation in the process of operation and maintenance,and improve the percep-tion sensitivity and accuracy.

data perception fusionpower communicationnetwork intelligenceoperation and maintenance tech-nology

吕华辉、明哲、樊凯、陈清明、石宏宇、邹文景、王定波、关声涛、吴勇

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南方电网数字电网集团有限公司,广东 广州 510700

南方电网数字电网集团信息通信科技有限公司,广东 广州 510700

数据感知融合 电力通信 网络智能 运维技术

2024

电信科学
中国通信学会 人民邮电出版社

电信科学

CSTPCD北大核心
影响因子:0.902
ISSN:1000-0801
年,卷(期):2024.40(1)
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