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作 者:曾发立 ZENG Fali(State Grid Shaanxi Province Electric Power Co.,Ltd.,Hanyin County Power Supply Branch,Ankang 725100,China)
机构地区:[1]国网陕西省电力有限公司汉阴县供电分公司,陕西安康725100
出 处:《通信电源技术》2023年第22期38-40,共3页Telecom Power Technology
摘 要:为实现精准、高效的10 kV配电网故障定位,提出一种考虑分布式电源的10 kV配电网故障快速定位方法。首先,对分布式电源的配电网故障特性进行分析,并在10 kV配电网的关键节点上安装传感器,以获取相关的电力参数和环境条件数据;其次,采用标准差法对获取的数据进行清洗,并采用小波分析法进行去噪处理,以去除异常值;再次,根据信息增益提取故障数据的关键特征;最后,采用莱维飞行来改进灰狼优化算法(Grey Wolf Optimizer,GWO),实现对配电网故障的快速定位。测试结果表明,该故障定位方法的准确性高达98.1%,故障定位用时为5.74 s,具有出色的故障定位能力。In order to realize accurate and efficient fault location of 10 kV distribution network,a fast fault location method of 10 kV distribution network considering distributed power supply is proposed.Firstly,the fault characteristics of distributed power distribution network are analyzed,and sensors are installed on key nodes of 10 kV distribution network to obtain relevant power parameters and environmental conditions data.Secondly,the standard deviation method is used to clean the obtained data,and the wavelet analysis method is used to remove the abnormal values.Thirdly,the key features of fault data are extracted according to the information gain.Finally,the Grey Wolf Optimizer(GWO)is improved by using Levi’s flight,and the distribution network fault can be quickly located.The test results show that the accuracy of the fault location method is as high as 98.1%,and the fault location time is 5.74 s,which has excellent fault location ability.
关 键 词:故障定位 配电网 信息增益 灰狼优化算法(GWO)
分 类 号:TM75[电气工程—电力系统及自动化]
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