| 引用本文: | 程宏波,高雅琦,王勋,等.基于故障类型识别的输电线路自适应测距方法[J].电力系统保护与控制,2019,47(2):131-138.[点击复制] |
| CHENG Hongbo,GAO Yaqi,WANG Xun,et al.Adaptive fault location method for transmission line based on fault type recognition[J].Power System Protection and Control,2019,47(2):131-138[点击复制] |
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| 摘要: |
| 输电线路的故障类型会影响测距的结果。为更准确地定位线路的故障位置，需先识别故障的类型，再匹配相应算法以提高测距结果的精度。首先，利用空间域的关联维数描述故障后电气量变化的复杂程度，利用时域的差值方根描述故障后电气量的畸变程度。然后，根据两种特征包含信息量的多少，采用熵权法对两种指标进行特征融合。最后，以融合特征量为依据实现故障类型的识别，在此基础上为不同类型的故障匹配相应的测距算法，以最大程度减少故障阻抗对测距结果的影响。仿真表明，提出的自适应故障测距方法不受故障类型的影响，测距结果精度高，具有普遍适用性。 |
| 关键词: 关联维数 差值方根 熵权法融合 故障识别 精确测距 |
| DOI：10.7667/PSPC180111 |
| 投稿时间：2018-01-24修订日期：2018-04-20 |
| 基金项目:江西省杰出青年人才计划项目资助(20162BCB 23046);江西省重点研发计划项目资助(20161BBH80033);江西省教育厅科研项目资助(GJJ160498);南昌市科技支撑计划项目资助(2013HZCG013) |
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| Adaptive fault location method for transmission line based on fault type recognition |
| CHENG Hongbo,GAO Yaqi,WANG Xun,LI Yanglin,KANG Chen,JI Qingzhao,XIN Jianbo |
| (State Grid Jiangxi Electric Power Research Institute, Nanchang 330096, China;School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, China) |
| Abstract: |
| The result of fault location is affected by the type of fault. In order to locate fault accurately, it’s necessary to identify the type of the fault and then match the corresponding location algorithm. First, the correlation dimension in space domain is proposed to describe the complexity of the change of electrical quantity after fault, and the difference square root in the time domain is proposed to describe the degree of distortion of electric quantity after fault. Then, the entropy weight method is used to fuse the two indexes, according to the amount of information contained in the two features. Finally, the fault type is recognized based on the fusion feature, the corresponding location algorithm is matched for different types of faults to minimize the impact of fault impedance. The simulation shows that the proposed adaptive fault location method can acquire the result accurately, and is of universal applicability. This work is supported by Outstanding Young Talents Project of Jiangxi Province (No. 20162BCB23046), The Key R & D Projects of Jiangxi Province (No. 20161BBH80033), Research and Development Project of Jiangxi Education Department (No. GJJ160498), and Science and Technology Support Program of Nanchang (No. 2013HZCG013). |
| Key words: correlation dimension difference square root entropy weight fusion fault recognition accurate location |
