考虑配电线路参数误差的相间故障测距方法

Interphase Fault Location Method for Distribution Lines Considering Their Parameter Errors

针对配电线路参数误差对相间故障测距结果的影响,提出了一种基于随机森林算法的相间故障测距方法。首先,选取并介绍了4种典型的双端测距基础算法,通过分析建立了参数误差、测量误差与测距结果的关联关系,结果发现该关联关系具有非线性且难于显性解析表达的特点。然后,通过建立随机森林模型,构建了以基础算法测距结果为输入,以精确故障位置为输出的非线性模型,表征参数误差、测量误差与测距结果的非线性关系,实现相间故障测距。最后,数字仿真验证了所建模型测距精度高,不受线路参数误差、故障位置、故障起始角等因素的影响,且适用于含高渗透分布式电源的配电网,具有泛化能力和实用价值。

An interphase fault location method based on random forest algorithm is proposed targeting the impact of distribution line parameter errors on the results of interphase fault distance measurement.Firstly,four fundamental double-side fault location algorithms are selected,and the relationship among parameter error,measurement error,and ranging results is analyzed.The result show that it is difficult to describe the relationship by a linear and analytical expression.Secondly,a random forest model is established,and a nonlinear model is constructed with basic algorithm ranging results as input and precise fault location as output to describe the non-linear relationship among parameter error,measurement error,and ranging results.Therefore interphase fault distance measurement is completed.Finally,the digital simulation results show that the proposed model has high location accuracy and is not affected by parameter errors,fault location,initial fault angle and other factors.Also,the model is suitable for distribution network with high penetration distributed generation and has generalization ability and practical value has practical value.