Zhang Zhidan
Shanghai University
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Featured researches published by Zhang Zhidan.
international conference on intelligent computation technology and automation | 2017
Leng Hua; Tang Haiguo; Gong Hanyang; Zhang Zhidan
It is difficult to locate the single-phase-earth fault in neutral ineffectively grounded systems, because the fault current is weak. Aimed at this problem, this paper proposes a new fault section location method based on the relative entropy degree. The proposed method computes the relative entropy degree of every feeder section, and then determines the state of the sections. For the faulty section, the relative entropy degree is larger than the preset threshold, due to the significant difference between transient zero-sequence currents in both sides of the section. While, the relative entropy degree in healthy sections is less than the threshold, because of the similarity of transient zero-sequence currents in both sides of the section. Numerous simulation tests are implemented under different operating conditions, which demonstrate the correctness, reliability, and high engineering application value of the proposed method.
ieee advanced information technology electronic and automation control conference | 2017
Leng Hua; Zhu Jiran; Tang Haiguo; Zhang Zhidan; Gong Hanyang; Zhong Huabing
In order to solve the fault location problem of single phase grounding fault in non-solidly earthed distribution network, the constitution, principle and application condition of a new fault locating method are presented in this paper. This method is realized by the distribution automation system (DAS), feeder monitoring unit has been deployed to acquire fault zero sequence current waveform and send the waveform to DAS master station. The locating workstation deployed on master station to get intrinsic mode function (IMF) component from zero sequence current waveform by using empirical mode decomposition (EMD) algorithm, then calculated similarity coefficient of IMF component by analyzing waveform similarity algorithm, finally located fault section according to similarity coefficient. The actual operation results verified that the locating method is reasonable and effective.
Archive | 2017
Tang Haiguo; Leng Hua; Gong Fangliang; Zhu Jiran; Gong Hanyang; Zhang Zhidan; Chen Hong; Liu Haifeng
Archive | 2017
Zhang Beibei; Su Biaolong; Wang Bo; Du Hongwei; Leng Hua; Shan Xin; Meng Yongliang; Shi Jinyuan; Chen Qiannan; Zhang Yulin; Zhang Kexin; Wang Yuanyuan; Xu Xi; Lu Wen; Zhang Zhidan; Zhu Jiran
Archive | 2017
Zhu Jiran; Leng Hua; Mou Longhua; Wang Yijian; Chen Hong; Tang Haiguo; Gong Hanyang; Zhang Zhidan; Liu Haifeng; Peng Chunliu; Zhang Lei; Li Zhiqi
Archive | 2017
Chen Hong; Mou Longhua; Guo Wenming; Leng Hua; Zhu Jiran; Tang Haiguo; Gong Hanyang; Zhang Zhidan; Wang Yijian
Archive | 2017
Leng Hua; Tang Tao; Huang Chun; Tang Haiguo; Gong Hanyang; Zhu Jiran; Zhang Zhidan; Liu Haifeng; Li Hui; Chen Xing; Liu Shanxin
Archive | 2017
Chen Hong; Mou Longhua; Leng Hua; Wang Yijian; Zhu Jiran; Tang Haiguo; Gong Hanyang; Zhang Zhidan; Guo Wenming; Peng Chunliu; Zhang Lei; Li Zhiqi; Zeng Feng
Archive | 2017
Chen Hong; Li Xinran; Yang Ming; Leng Hua; Tang Haiguo; Zhu Jiran; Gong Hanyang; Zhang Zhidan
ieee pes asia pacific power and energy engineering conference | 2016
Jiran Zhu; Xu Yuan-can; Hua Leng; Haiguo Tang; Gong Hanyang; Zhang Zhidan