引用本文:郭壮志,陈涛,洪俊杰,毛晓明,陈璟华.基于故障辅助因子的配电网高容错性故障区段定位方法[J].电力自动化设备,2017,37(7):
GUO Zhuangzhi,CHEN Tao,HONG Junjie,MAO Xiaoming,CHEN Jinghua.High-tolerance faulty section locating based on fault accessory factors for distribution network[J].Electric Power Automation Equipment,2017,37(7):
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基于故障辅助因子的配电网高容错性故障区段定位方法
郭壮志1, 陈涛1, 洪俊杰2, 毛晓明2, 陈璟华2
1.河南工程学院 电气信息工程学院,河南 郑州 451191;2.广东工业大学 自动化学院,广东 广州 510006
摘要:
针对基于逻辑关系的馈线故障定位间接方法存在过分依赖群体智能优化算法的固有缺陷,采用代数关系描述,构建了基于故障辅助因子的馈线故障区段定位的非线性方程组模型,并采用具有并行特征的牛顿-拉夫逊法进行求解,其优点在于:对报警信息畸变的情况具有强适应性,故障定位时具有高容错性;能够对含T型耦合节点的配电网多重馈线故障区段进行准确定位;无需采用逻辑运算和最优化算法,决策效率高、算法稳定性好;单一故障下可准确定位信息畸变的位置。仿真结果验证了所提方法进行馈线故障区段定位的准确性、快速性和高容错性。
关键词:  配电网  故障区段定位  高容错性  故障辅助因子  非线性方程组模型  牛顿-拉夫逊法
DOI:10.16081/j.issn.1006-6047.2017.07.014
分类号:TM711
基金项目:国家自然科学基金资助项目(51407035);河南省科技创新人才计划项目(17HASTIT020);河南省科技发展计划项目(172102210104);河南省教育厅项目(17A470007);博士启动项目(D2016019)
High-tolerance faulty section locating based on fault accessory factors for distribution network
GUO Zhuangzhi1, CHEN Tao1, HONG Junjie2, MAO Xiaoming2, CHEN Jinghua2
1.School of Electrical Information Engineering, Henan University of Engineering, Zhengzhou 451191, China;2.School of Automation, Guangdong University of Technology, Guangzhou 510006, China
Abstract:
Aiming at the inherent deficiency of the indirect feeder fault locating based on the logical relationships, i. e. the excessive dependence on intelligent optimization algorithms, the algebraic relationship description is applied to establish a nonlinear equation group model based on the fault accessory factors for locating the faulty section of feeder and the Newton-Raphson algorithm with parallel features is adopted to solve the model. The proposed method has strong adaptability to alarm information distortion and high tolerance in fault locating; without logic operation and optimization algorithm, it has high decision efficiency and good algorithm stability; it can accurately locate multiple faulty sections of distribution network with T-type coupling node; in the condition of single fault, it can accurately identify the location of alarm information distortion. Its accuracy, rapidity and high-tolerance are verified by the simulative results.
Key words:  distribution network  faulty section locating  high tolerance  fault accessory factors  nonlinear equation group model  Newton-Raphson algorithm

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