黄智慧

个人信息Personal Information

工程师

硕士生导师

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:计算机科学与技术学院

学科:电机与电器

联系方式:13940904482

电子邮箱:huangzhihui@dlut.edu.cn

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Recursive least square algorithm with a compensation formula for fault current parameters estimation

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论文类型:期刊论文

发表时间:2012-05-01

发表刊物:Journal of Convergence Information Technology

收录刊物:EI、Scopus

卷号:7

期号:8

页面范围:101-109

ISSN号:19759320

摘要:In power system, controlled fault interruption (CFI) is a key technology for smart grid. The difficulties of CFI include rapid accurate fault parameters estimation and zero-crossing prediction because of decaying DC component in fault current. The Taylor series expansion of the exponential term was kept the first two orders, and an algorithm based on Recursive Least Square (RLS) is used to estimate the fault parameter. Based on the analysis to the error of truncated Taylor series, a formula was proposed to compensate the calculation error. Using MATLAB, the simulation results show that the proposed algorithm can get sufficiently accurate parameters in 15 ms after fault and the prediction accuracy of available zero-crossing is in   0.25 ms.