673 / 2019-04-18 15:13:21
Fault location of HVDC transmission line based on improved genetic algorithm
HVDC transmission; fault location in time domain; improved genetic algorithm; crossover and mutation; adaptive adjustment
终稿
Jianlei Zhang / Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University)
Zhanjun Gao / Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University)
Xiufang Xie / Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University)
Huanhuan Yin / Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University)
Zhiyuan Wang / Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University)
Aiming at the problem that the current time domain fault location method has low accuracy under the change of line parameters, this paper takes line parameter errors and fault location results as variables to participate in the calculation, forming a multi-variable optimization problem. The standard genetic algorithm is optimized to realize the non-linear adaptive adjustment of crossover rate and mutation rate according to fitness, which effectively improves the search ability and convergence speed of the algorithm. PSCAD simulation software and MATLAB are used to verify the algorithm. The simulation results show that the method is not affected by fault location and transitional resistance, and can achieve accurate fault location in the whole transmission line.
重要日期
  • 会议日期

    10月21日

    2019

    10月24日

    2019

  • 10月13日 2019

    摘要录用通知日期

  • 10月13日 2019

    初稿截稿日期

  • 10月14日 2019

    初稿录用通知日期

  • 10月24日 2019

    注册截止日期

  • 10月29日 2019

    终稿截稿日期

承办单位
Xi'an Jiaotong University
联系方式
移动端
在手机上打开
小程序
打开微信小程序
客服
扫码或点此咨询