文章摘要
基于电流序分量的多源配电网故障定位方法
Multi-source distribution network fault location method based on current sequence component
投稿时间:2019-09-03  修订日期:2020-01-15
DOI:
中文关键词: 配电网  分布式电源  故障定位  电流序分量  短路计算
英文关键词: distribution network, distributed generation, fault location, current sequence component, short-circuit calculation
基金项目:国家自然科学(51877181),四川省教育厅项目(18ZB0566)
作者单位E-mail
苑吉河 国网重庆电力公司南岸供电分公司 897098610@qq.com 
张曦 国网重庆电力公司南岸供电分公司  
黄虎 国网重庆电力公司南岸供电分公司  
张豪 西华大学 zhanghao_jycdtu@163.com 
朱金龙 西华大学  
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中文摘要:
      为了克服传统配电网故障定位方法对分布式电源(Distribution Generation,DG)接入的适应性较差的问题,且需要在馈线中配置大量测量装置导致成本增加的缺点,提出了一种基于电流序分量相关系数的多源配电网故障区段定位方法。首先利用叠加法分析了多端电源配电网故障点电流特征及定位原理,然后通过电源端口测量装置获取故障前后电源输出电流幅值差,再假设不同位置发生故障并计算此时各电源输出故障电流理论值,最后利用相关分析法计算理论与实测两组数据的相关系数,并提取相关系数最大的两个相邻节点实现区段定位。通过ETAP电力系统仿真平台搭建了改进的IEEE33节点模型模拟测量值,利用MATLAB编程进行相关分析,结果验证了方法的正确性。
英文摘要:
      In order to overcome the problem that the traditional distribution network fault location method has poor adaptability to distributed power generation (DG) access, and the need to configure a large number of measuring devices in the feeder to cause cost increase, a fault location method for multi-source distribution network based on correlation coefficient of current sequence component is proposed. Firstly, the superposition method is used to analyze the current characteristics and positioning principle of the fault point of the multi-terminal power distribution network. Then, the power terminal measurement device is used to obtain the amplitude difference of the output current of the power supply before and after the fault, and then assume that the fault occurs at different positions and calculate the theoretical value of the fault current of each power supply output. Finally, use the correlation analysis method to calculate the correlation coefficient between the theoretical and measured two sets of data, and extract the two adjacent nodes with the largest correlation coefficient to achieve segment location. The improved IEEE33 node model simulation measurement value was built by ETAP power system simulation platform. The MATLAB programming was used to analyze the correlation. The result verified the correctness of the method.
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