| 引用本文: | 李舟平,姚伟,曾令康,马士聪,文劲宇.基于长短期记忆网络的电网故障区域定位与故障传播路径推理[J].电力自动化设备,2021,41(6): |
| LI Zhouping,YAO Wei,ZENG Lingkang,MA Shicong,WEN Jinyu.Fault section location and fault propagation path reasoning of power grid based on LSTM[J].Electric Power Automation Equipment,2021,41(6): |
|
| 摘要: |
| 为了在发生故障后维持电力系统的安全稳定，有必要实现对故障区域的快速定位并确定故障冲击的传播路径，提出基于长短期记忆网络(LSTM)的故障区域定位和故障传播路径推理方法。首先，利用LSTM建立2个故障诊断模型分别实现在线检测故障时刻和确定故障区域；然后，通过计算故障点附近线路的端口供给能量确定故障冲击的传播路径；最后，以8机36节点电网为例进行算例验证，结果表明所提模型可在发生故障后短时间内检测到故障，给出故障区域和故障冲击传播的路径，且对噪声有较强的鲁棒性。 |
| 关键词: 电力系统 在线故障诊断 深度神经网络 长短期记忆网络 滑动窗口 端口供给能量 |
| DOI：10.16081/j.epae.202102016 |
| 分类号:TM72 |
| 基金项目:国家电网有限公司科技项目(大型交直流混联电网故障特征深度学习及智能识别和控制应用研究)(SGHB0000KXJS1800375) |
|
| Fault section location and fault propagation path reasoning of power grid based on LSTM |
|
LI Zhouping1, YAO Wei1, ZENG Lingkang1, MA Shicong2, WEN Jinyu1
|
|
1.State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;2.China Electric Power Research Institute, Beijing 100192, China
|
| Abstract: |
| To maintain the security and stability of power system after failure, it is necessary to locate the fault section quickly and determine the propagation path of the fault impact, a fault section location and fault propagation path reasoning method based on LSTM(Long Short-Term Memory network) is proposed. Firstly, two fault diagnosis models are built by LSTM to realize online fault time judgment and fault section location respectively. Then, the propagation path of the impact caused by the fault can be determined by the ESP(Energy Supply on Port) of the transmission lines near the fault. Finally, the 8-machine 36-bus power grid is taken as an example for verification, and the results show that the proposed model can detect the fault immediately after it occurs, give fault section and fault impact propagation path, and has strong robustness to noise. |
| Key words: electric power systems online fault diagnosis deep neural network long short-term memory network sliding window energy supply on port |
