摘要
对混合三端直流输电系统而言,准确、可靠的故障测距方法可确保故障线路快速恢复,提高供电可靠性。为了解决混合三端直流输电系统结构复杂性强、线路故障定位难度大等问题,提出了小波包能量谱结合BP神经网络的测距方法。具体的定位方法实现步骤如下:首先在故障发生时快速进行故障选线。然后把发生故障时在测量点采集到的电压故障分量经过小波包分解重构得到小波包能量,并将其作为输入样本通过BP的非线性拟合能力进行训练。最后将反映故障位置的小波包能量代入即可输出相应的故障距离。仿真结果表明,该方法耐过渡电阻能力强,定位的准确度高。
An accurate and reliable fault location method can ensure quick recovery of a fault line and improve the reliability of power supply in a hybrid three-terminal DC transmission system.In order to solve the problems of complex structure and difficult fault location of such an HVDC transmission system,a location method based on a wavelet packet energy spectrum combined with a BP neural network is proposed.The specific positioning strategies are as follows:first,the fault line is quickly selected when the fault occurs.Then through wavelet packet decomposition and reconstruction,the voltage component collected at the measurement point is converted into wavelet packet energy when the fault occurs.This is used as an input sample to train the nonlinear fitting ability of BP.Finally,the corresponding fault distance can be output by substituting the energy of the wavelet packet which reflects the fault position.From the simulation results,it can be seen that the proposed method is strong in anti-transition-resistance with a high accuracy in fault location.
作者
高淑萍
姜元月
宋国兵
高悦
曾子璇
GAO Shuping;JIANG Yuanyue;SONG Guobing;GAO Yue;ZENG Zixuan(College of Electrical and Control Engineering,Xi'an University of Science and Technology,Xi'an 710054,China;School of Electrical Engineering,Xi'an Jiaotong University,Xi'an 710049,China)
出处
《电力系统保护与控制》
CSCD
北大核心
2021年第15期76-83,共8页
Power System Protection and Control
基金
国家自然科学基金面上项目资助(51777166)
国家自然科学基金联合基金重点支持项目资助(U1766209)
中国国家留学基金项目资助。
关键词
混合三端直流输电
故障定位
小波包分解
BP神经网络
PSCAD
hybrid three-terminal DC transmission
fault location
wavelet packet decomposition
BP neural network
PSCAD
