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作 者:刘胤良 喻磊 林心昊 段舒尹 袁智勇 刘通 徐敏 史训涛 LIU Yinliang;YU Lei;LIN Xinhao;DUAN Shuyin;YUAN Zhiyong;LIU Tong;XU Min;SHI Xuntao(Electric Power Research Institute,CSG,Guangzhou 510663,China)
出 处:《南方电网技术》2024年第4期141-151,共11页Southern Power System Technology
基 金:国家自然科学基金资助项目(U22B20114)。
摘 要: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.
关 键 词:配电线路 故障测距 随机森林 测量误差 线路参数误差
分 类 号:TM755[电气工程—电力系统及自动化]
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