| 引用本文: | 戚振彪,凌松,刘文烨,等.基于高频测试信号注入的配电网故障节点在线识别方法[J].电力系统保护与控制,2020,48(4):110-117.[点击复制] |
| QI Zhenbiao,LING Song,LIU Wenye,et al.On-line fault node identification method for distribution network based on high frequency test signal injection[J].Power System Protection and Control,2020,48(4):110-117[点击复制] |
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| 摘要: |
| 为准确识别带电网络中的故障，提出了一种适用于多层复杂配电网故障节点的在线识别和定位方法。该方法将高频测试信号注入电网，通过智能电表向中心单元提供的电网信息获取阻抗参数，并根据阻抗特性和电网高频测试信号下的响应结果检测是否存在故障节点。采用该方法对45节点三层配电网进行多种条件下仿真，接着对8节点低压网络模型进行测试，讨论模数转换分辨率和测量误差公差对检测精度的影响。仿真和测试的结果发现，故障节点处高频接收信号电压与估计电压差值最大，表明该方法能够准确识别配电网中的故障节点。 |
| 关键词: 智能电网 故障识别与定位 故障节点 高频信号注入 阻抗特性 |
| DOI：10.19783/j.cnki.pspc.190399 |
| 投稿时间：2019-04-10修订日期：2019-05-28 |
| 基金项目:国家自然科学基金项目资助(51767008);国家电网公司科技项目资助(PDB17201800040);中国电科院基金项目资助(PD83-17-006) |
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| On-line fault node identification method for distribution network based on high frequency test signal injection |
| QI Zhenbiao,LING Song,LIU Wenye,LIU Zhixiang,YU Fei |
| (State Grid Anhui Electric Power Co., Ltd., Hefei 230022, China) |
| Abstract: |
| In order to accurately identify faults in multi-layer complex distribution network, an on-line fault node identification and location method is proposed. This method injects the high frequency test signal into the power grid, obtains the impedance parameters from the grid information provided by smart meters to the central unit, and detects whether there are fault nodes according to the impedance characteristics and the response results under the high frequency test signal of the power grid. The method is used to simulate 45-node 3-layer distribution network under various conditions, then the 8-node low-voltage network model is tested. The influence of analog-to-digital conversion resolution and measurement error tolerance on detection accuracy is discussed. The simulation and test results show that the difference between the received signal voltage of high frequency and the estimated voltage at the fault node is the largest, indicating that the method can accurately identify the fault node in the distribution network. This work is supported by National Natural Science Foundation of China (No. 51767008), Science and Technology Project of State Grid Corporation of China (No. PDB17201800040), and Fund of China Electric Power Research Institute (No. PD83-17-006). |
| Key words: smart grid fault identification and location faulty node high frequency signal injection impedance characteristics |
