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Dive into the research topics where Zhang Zhidan is active.

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Featured researches published by Zhang Zhidan.


international conference on intelligent computation technology and automation | 2017

A New Method to Locate Single-Phase-Earth Fault in Neutral Ineffectively Grounded Systems

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

The research and application of grounding fault locating method based on EMD and waveform similarity in non-solidly earthed network

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

Data processing method and system for data access power information network of monitoring terminal

Tang Haiguo; Leng Hua; Gong Fangliang; Zhu Jiran; Gong Hanyang; Zhang Zhidan; Chen Hong; Liu Haifeng


Archive | 2017

Distribution automation master station system single-phase earth fault location method based on transient state recording data

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

Method for evaluating state of distribution automation terminal based on analytic hierarchy process

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

D-S-evidence-theory-based distribution automation terminal state diagnosis method

Chen Hong; Mou Longhua; Guo Wenming; Leng Hua; Zhu Jiran; Tang Haiguo; Gong Hanyang; Zhang Zhidan; Wang Yijian


Archive | 2017

Method for locating single-phase ground fault in small current system

Leng Hua; Tang Tao; Huang Chun; Tang Haiguo; Gong Hanyang; Zhu Jiran; Zhang Zhidan; Liu Haifeng; Li Hui; Chen Xing; Liu Shanxin


Archive | 2017

Fuzzy comprehensive evaluation-based distribution automation terminal state evaluation method and system

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

Distributed power generation system common information model expansion method based on information demand

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

Power load forecasting based on GOM(1,1) model under the condition of missing data

Jiran Zhu; Xu Yuan-can; Hua Leng; Haiguo Tang; Gong Hanyang; Zhang Zhidan

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Leng Hua

Electric Power Research Institute

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Tang Haiguo

Electric Power Research Institute

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Zhu Jiran

Electric Power Research Institute

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Xu Yuan-can

Changsha University of Science and Technology

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Lu Wen

Harbin Institute of Technology

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Li Hui

City University of Hong Kong

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