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基于大数据技术的智能配电网运行状态诊断研究

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该文研究了基于大数据技术的智能配电网运行状态诊断,首先介绍了智能配电网运行状态诊断的概念,并探讨了抗差状态估计和配电网抗差估计测量数据的重要性;接着提出了在大数据环境下多元数据融合的配电网状态估计方法,包括数据融合处理和加权最小绝对值抗差状态估计模型的改进;然后针对大数据下配电网运行状态诊断进行了分析,包括评估配电网的运行状态和基于抗差状态估计下的配电网运行状态诊断方案.通过本文的研究,成果可以提高智能配电网的运行状态诊断精度,为保障电力系统的稳定运行提供了一定的参考价值.
Research on Intelligent Distribution Network Operation Status Diagnosis Based on Big Data Technology
This article studies and elaborates on the operation status diagnosis of intelligent distribution networks based on big data technology.Firstly,the concept of intelligent distribution network operation status diagnosis was introduced,and the importance of robust state estimation and distribution network robust estimation measurement data was discussed.Subsequently,a distribution network state estimation method based on multivariate data fusion in the big data environment was proposed,including data fusion processing and improvement of the weighted minimum absolute value robust state estimation model.Then,an analysis was conducted on the diagnosis of the operation status of the distribution network under big data,including evaluating the operation status of the distribution network and a distribution network operation status diagnosis scheme based on robust state estimation.Through the research in this article,the results can improve the accuracy of operational status diagnosis in intelligent distribution networks,providing certain reference value for ensuring the stable operation of power systems.

robust statedistribution networkoperating statusfault diagnosis

陈键

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南京供电公司,江苏 南京 210000

抗差状态 配电网 运行状态 故障诊断

2024

数字通信世界
电子工业出版社

数字通信世界

影响因子:0.162
ISSN:1672-7274
年,卷(期):2024.(7)