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第二届先进电子材料、计算机与材料工程国际学术会议（AEMCME 2019）

作者： Zhang Min Shen Jian Chen Li Zhou Bin Zhou Shao Liang Hou Zhe NARI Group Corporation (State Grid Electric Power Research Institute) State Key Laboratory of Smart Grid Protection and Control NARI Technology Corporation Co. Ltd

In power system, measurement and control device plays an important role in maintaining an ideal level of reliability. Therefore, the reliability of the measurement and control device should be evaluated to fully understand the cause of its failure. A new evaluation model is proposed, which relates the fault of measurement and control system with the four main reasons of device hardware fault, software fault, auxiliary equipment fault and human fault. In addition, the model can also comprehensively consider other aspects of the measurement and control system, such as human error in testing and software upgrade, effectiveness of daily operation monitoring, degree of dependence on self-inspection, local backup and misoperation. These studies have a lot of significance to the reliability of the control system, and also can effectively improve the stability of the system.

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smart substation network quality monitoring and fault prediction

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Journal of Physics: Conference Series 2021年第1期2108卷

作者： Chao Li Qi Peng Dehui Wang Linglu Luo Huanhuan Zuo NARI Group Corporation (State Grid Electric Power Research Institute) Nanjing 211006 China NARI Technology Co. Ltd. Nanjing 211006 China State Key Laboratory of Smart Grid Protection and Control Nanjing 210061 China

The smart substation communication network is the basis for information sharing of various devices in the substation. Its operation status has an important impact on the safe operation of the substation and even the power grid. Therefore, real-time status monitoring of the smart substation communication network is becoming more and more important. Aiming at the problems of single dimension, insufficient real-time performance and manual fault analysis in existing substation communication network state monitoring technology, this paper proposes a method of smart substation communication network state monitoring and fault prediction based on network communication quality. This paper uses switch ACL technology and coloring technology to obtain communication quality indexes such as bandwidth utilization, delay, and packet loss rate in real time; based on a multi-dimensional evaluation algorithm, a comprehensive evaluation model of network communication quality is constructed; the model of the relationship between abnormal network communication quality and failures is established. Finally, real-time monitoring of network communication quality and fault prediction are realized. The application analysis in a typical 110 kV substation shows that this method can effectively evaluate the network communication quality and accurately predict failures, and can guide operationer and maintenaner to quickly restore the normal operation of the communication network.

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Power Fault Preplan Text Information Extraction Based on NLP

Power Fault Preplan Text Information Extraction Based on NLP

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2018 IEEE International Conference of Safety Produce Informatization, IICSPI 2018

作者： Sun, Shaohua Dai, Zemei Xi, Xinkui Shan, Xin Wang, Bo NARI Group Corporation State Grid Electric Power Research Institute Nanjing211106 China NARI Technology Co. Ltd. Nanjing211106 China State Key Laboratory of Smart Gird Protection and Control Nanjing211106 China Power Dispatching Automation State Grid Hebei Electric Power Co. Ltd. Shijiazhuang050022 China

ISBN: (纸本)9781538655139

A large amount of texts recorded in Chinese exist in power grid enterprises. These texts contain abundant information of power system. Manually mining the text information is inefficient and the accuracy may vary with different dispatchers. In this paper, the power fault countermeasure text is taken as the object to study the power Chinese text information extraction method. Power texts are segmented firstly based on the nature language process (NLP), the ontology lexicon is established according to the power word attribute in the power fault countermeasure text;Based on the syntax structure characteristics of punctuations and the concept of separate parsing phrase are brought in to guide the division of long texts, which can separate the sentence with only one power entity and its related information;The syntax rule template applicable to the separate parsing phrase is established based on the meta-character templates (generalization slot, fixed word-combination, wildcard character, and registry function) used for the power fault preplan text information extraction and the structured output of that information;At last, the generalization ability and the universality of the template are analyzed. Examples show that the rule template applies to the information extraction of most texts with strong universality and high accuracy. © 2018 IEEE.

关键词： Syntactics

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Ensemble Machine Learning Identification of Power Fault Countermeasure Text Considering Word String TF-IDF Feature

Ensemble Machine Learning Identification of Power Fault Coun...

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2018 IEEE International Conference of Safety Produce Informatization, IICSPI 2018

ISBN: (纸本)9781538655139

A large amount of fault countermeasure texts are used to guide fault handing operations in power dispatching systems. This paper transforms the identification problem of fault countermeasure disposal text into a classification problem for identifying the content of text, understanding the meaning of text and building an intelligent power grid fault handling automation system. Firstly, the characteristics of fault countermeasure text are analyzed, and the text is preprocessed according to the characteristics and classification requirements. (Term Frequency-Inverse Document Frequency) TF-IDF is used to analyze and extract and vectorize the features of words and word strings in text, then concatenated feature vectors are used to vectorize the text. classification models are built based on a variety of machine learning methods. Examples show that the feature extraction method taking TF-IDF of word string into consideration is superior to word TF-IDF, and the classification effects of different machine learning methods are compared. The examples also show that the ensemble machine learning classification model has better classification effect than the single classifier, and can identify the text of fault countermeasure disposal more accurately and efficiently. © 2018 IEEE.

关键词： Inverse problems

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Analysis on Differential protection Sensitivity of Traction Transformers Based on Different Conversion Modes

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IOP Conference Series: Earth and Environmental Science 2020年第1期617卷

作者： Liu Xiaobao Zheng Yuping Long feng Wu Tonghua Pan Shuyan An Lin State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing Jiangsu 211106 China

With the rapid development of high-speed rail technology in China, the traction transformers of various types have been used more and more extensively. The differential protection of traction transformers has different differential conversion modes [1-2] which are different in their sensitivities. In this paper, taking the YNV traction transformer as an example, by comparing the sensitivities of two different common differential conversion modes and through analysis, it shows that the sensitivities of differential protection are slightly different. The sensitivities of differential protections based on different principles depend on the retention degree of differential current to the positive sequence, negative sequence and zero sequence components in the internal fault current. The sensitivity of phase current minus zero sequence differential is the highest when single-phase grounded, which completely retains all the sequence components in the internal fault current. The sensitivity of interphase differential protection is the highest when interphase fault occurs. The widely used phase current differential and phase current minus zero sequence differential do not reflect the zero-sequence component of internal fault current, which provides the basis for field fault analysis and setting.

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Corrections to “Decision Support System for Adaptive Restoration control of Transmission System”

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Journal of Modern Power Systems and Clean Energy 2021年第5期9卷 1237-1237页

作者： Ze Li Yusheng Xue Haohao Wang Lili Hao School of Electrical Engineering Southeast University Nanjing China State Grid Electric Power Research Institute (NARI Group Corporation) Nanjing China State Key Laboratory of Smart Grid Protection and Operation Control Nanjing China School of Electrical Engineering and Control Science Nanjing Tech University Nanjing China

In [1], the complete affiliation of Yusheng Xue is as follows: Y. Xue (corresponding author) is with the School of Electrical Engineering, Southeast University, Nanjing, China, and he is also with State grid Electric Power Research Institute (NARI Group Corporation), Nanjing, China, and State Key laboratory of smart grid protection and Operation control, Nanjing, China.

关键词： Electrical engineering Adaptive systems control systems Power systems smart grids

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Passgrid: Towards graph-supplemented textual shoulder surfing resistant authentication 1

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5th International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2019

作者： Zhou, Teng Liu, Liang Wang, Haifeng Li, Wenjuan Jiang, Chong College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China NARI Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Control in China Nanjing China Department of Computer Science City University of Hong Kong Hong Kong School of Computer Science Guangzhou University Guangzhou China

ISBN: (数字)9789811507588

ISBN: (纸本)9789811507571

With the rapid development of intelligent mobile devices and network applications, user authentication plays an important role to help protect people’s privacy and sensitive information. A large number of authentication textual and graphical schemes have been proposed in the literature, but the majority of them are vulnerable to shoulder surfing attacks, or have to sacrifice usability. Motivated by this challenge, we propose a graph-supplemented textual shoulder surfing resistant authentication system, called Passgrid. With a series of one-time login indicators and cyclic movable blocks with textual elements, Passgrid prevents attackers from guessing the passwords even with the help of a camera. To reduce users’ workload, they only have to memorize one set of the password. Our user study shows that Passgrid can achieve good performance regarding security and usability, i.e., average login time consumption of 22s with a small password length. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Authentication

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Vertically integrated outdoor in-site line protection based on SoC technique

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全球能源互联网（英文版） 2019年第2期1卷 179-186页

作者： Tonghua Wu Yuping Zheng Yutao Qiu Xiaoping Zhang Gang Yao Jimin Chai Xiaofan Hou College of Energy and Electrical Engineering Hehai University Nanjing 210098 China NARI Group Corporation/State Grid Electric Power Research Institute Nanjing 211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing 211106 China State Grid Zhejiang Electric Power Corporation Hangzhou 310007 China Electrical and System Engineering University of Birmingham Birmingham B152TT UK NARI Group Corporation/State Grid Electric Power Research Institute Nanjing 211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing 211106 China College of Energy and Electrical Engineering Hehai University Nanjing 210098 China

By focusing on the problems of speed, reliability, operation and maintenance in the practical application of line protection in conventional and smart substations, we propose system architecture and a technical scheme for in-site (similar in meaning to on-site or near-process) line protection based on vertical integration and outdoor installation. The functions of the single-bay merging unit, relay protection, and intelligent terminal are vertically integrated to reduce the number and types of devices, simplify the configuration, reduce signal transmission, and shorten the protection action time. In addition, this vertically integrated device is applied to provide data acquisition and control execution support for substation-area protection, security and stability of devices, and other substation-area devices. The vital performance outputs are tested and compared. Finally, the experimental results verify that the proposed scheme is feasible and the technology is advanced.

关键词： Line protection In-site relay protection Merging unit Vertical integration

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LCC-HVDC supplementary controller design based on global fast terminal sliding mode control 2

LCC-HVDC supplementary controller design based on global fas...

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2nd IEEE International Conference on Energy Internet, ICEI 2018

作者： Liu, Qipu Sun, Guoqiang Nong, Weizhi Lin, Zijie Tang, Xiaochen Yang, Jia College of Energy and Electrical Engineering Hohai University Nanjing China State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation Nanjing China

ISBN: (纸本)9781538641316

Conventional LCC-HVDC is a non-linear, tightly coupled system. Since the performance of PI control varies from different operation conditions, the optimal of parameter tuning is only achieved under steady state. To improve dynamic performance and stability of system, A novel HVDC nonlinear supplementary controller based on Terminal sliding mode theorem has been proposed. First, the steady state mathematical model of the LCC-HVDC system is built, the approach of state feedback exact linearization is adopted to change the nonlinear model into a linear one, the decoupled relationship between the control variables are investigated;then based on sliding mode control method, the constant current and constant voltage control in rectifier and inverter has been achieved, respectively. The variables converge to equilibrium point fast and exactly. Finally, the strategy is demonstrated through Matlab/Simulink software, the simulation results show that the controller is capable of tracing the reference, and the robustness with respect to parameters' perturbations is satisfied. The controller contributes significantly toward improving transient performance comparing to conventional PI control and restraining commutation failure. © 2018 IEEE.

关键词： controllers

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Adaptive algorithm for rapidly optimising the generator-tripping control

Adaptive algorithm for rapidly optimising the generator-trip...

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作者： Huang, Tiangang Xue, Yusheng Xue, Feng Zhao, Junhua Zhang, Jianmin NARI Group Corporation State Grid Electric Power Research Institute Nanjing211106 China School of Electrical Engineering Southeast University Nanjing210096 China State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China School of Science and Engineering Chinese University of Hong Kong Shenzhen518100 China College of Automation Hangzhou Dianzi University Hangzhou310018 China

The fast optimisation of transient stability emergency control (TSEC) strategy is a key factor of online safeguard for AC-DC interconnected systems. An engineering applicable TSEC algorithm has to obtain the disturbed trajectories of the system by numerical integration, and then do quantised stability knowledge mining. Theoretical analysis and simulation verification reveal that the premise is to identify the unstable mode correctly, and then emergency control decision can be optimised according to the cost performance of the actions. Small integral step is usually needed for accuracy. In order to coordinate the accuracy and computational burden intelligently, this study proposes an algorithm for optimising generator-tripping control, which can adaptively reduce computational burden. If the unstable mode is insensitive to the change of fault parameters (e.g. fault clearing time), this case's time-varying property is more likely to be weak. Only for such cases, large-step Taylor series expansions (LSTSE) can be taken to replace small-step numerical integration (SSNI) and search for the optimal result. Based on its time-varying property, each case can get disturbed trajectories using LSTSE or SSNI adaptively and obtain optimal solution. The excellent performance of this algorithm is verified by simulation of nine Chinese regional power systems under various operating conditions. © 2019 Institution of Engineering and *** right reserved.

关键词： Adaptive algorithms

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