智能感知技术在配电网可靠性评估中的应用研究
Application Research of Intelligent Sensing Technology in Power System Reliability Evaluation of Distribution Network
钱滨 1范志文2
作者信息
- 1. 杭州大有供电服务有限公司桐庐白云源分公司,浙江杭州 311500
- 2. 桐庐电力开发有限公司,浙江杭州 311500
- 折叠
摘要
采用基于智能感知技术的配电网数据采集方法,结合统计分析和机器学习算法,对配电网运行数据进行处理和分析.研究过程中,建立配电网可靠性评估的指标体系,然后利用智能感知技术实时采集配电网数据,并结合算法模型进行数据分析和评估.研究结果表明,智能感知技术在配电网可靠性评估中具有显著优势,能够实时监测与预测配电设备的运行状态,提高配电网的运行可靠性.
Abstract
The data acquisition method of distribution network based on intelligent sensing technology,combined with statistical analysis and machine learning algorithm,is used to process and analyze the operation data of distribution network.In the research process,the index system of distribution network reliability evaluation is established,and then the distribution network data are collected in real time by using intelligent sensing technology,and the data are analyzed and evaluated by combining the algorithm model.The research results show that intelligent sensing technology has obvious advantages in the reliability evaluation of distribution network,which can monitor and predict the running state of distribution equipment in real time and improve the reliability of distribution network.
关键词
电力系统/智能感知技术/配电网/可靠性评估/数据采集/机器学习算法Key words
power system/intelligent perception technology/distribution network/reliability assessment/data acquisition/machine learning algorithm引用本文复制引用
出版年
2024
NETL
NSTL
万方数据