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International Conference on Condition Monitoring and Diagnosis, CMD

作者： Xuhong Wang Ping Cui Ying Du Yupu Yang The Ministry of Education Key Laboratory of System control and information processing Shanghai Jiao Tong University Shanghai China State Energy Smart Grid R&D Center Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9781728159317

ISBN: (纸本)9781728159324

With the rapid development of the world economy and the continuous improvement of people's living standards, users put forward higher requirements for the quality and reliability of the power system. As a representative of deep learning, variational autoencoders play an important role in processing high-dimensional big data. In this paper, a novel variational autoencoder based distribution network abnormal monitoring and positioning method is proposed. Through an indepth study of the variational autoencoder, we utilize the real-time dynamic distribution network status information provided by the wide-area measurement system, combined with the abilities of feature extracting and data reconstruction. Finally, the IEEE-33 simulation model was built in Matlab software and the experimental results were used to verify the correctness of this method. The results show that this method can quickly and accurately achieve the fault detection and location for the distribution network with strong robustness.

关键词： Fault detection Distribution networks Feature extraction Electrical fault detection Software Wide area measurements Standards

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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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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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Impact of Microgrid Aggregator on Joint Energy and Reserve Market Based on Pure Strategy Nash Equilibrium

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Energy Procedia 2019年 159卷 142-147页

作者： Fan Liu Zhaohong Bie Jiangfeng Jiang Ke Wang State Key Laboratory of Electrical Insulation and Power Equipment Smart Grid Key Laboratory of Shaanxi Province Xi’an Jiaotong University Xi’an 710049 China China Southern Power Grid Dispatching Control Center Guangzhou 510663 China

With the coordination of various distributed energy resources, microgrid has the capability to participate energy and reserve market simultaneously via a microgrid aggregator (MGA). The profit-maximizing offering problem of MGA satisfying a pure strategy Nash equilibrium (NE) is modelled in the paper as a bi-level programming to analyze the impact of MGA on the market equilibrium. A linearization method for pure strategy NE conditions is proposed, and then the bi-level problem is equivalently transformed into a mixed integer linear programming (MILP) based on Karush-Kuhn-Tucher (KKT) conditions and strong duality theorem. Numerical results demonstrate the effectiveness of proposed method and present market NE prices are influenced by the scalability and location of integrated MGA.

关键词： Microgrid aggregator Joint energy reserve market Pure strategy Nash equilibrium Strategic offering Bi-level programming

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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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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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A Deep Learning Based Real-time Load Forecasting Method in Electricity Spot Market

A Deep Learning Based Real-time Load Forecasting Method in E...

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2018计算机科学与工程技术国际研讨会

作者： Qipei Zhang Jixiang Lu Zhihong Yang Mengfu Tu Nari technology co ltd. State Key Laboratory of Intelligent power grid protection and operation control

This paper analyzes the potential influence in Chinese electricity market due to the reform and access of the electricity spot market. On this occasion, a deep learning based model for load forecasting is proposed to improve the market operator's precise scheduling level and assist power retailers in managing bid strategies. LongShort Term Memory(LSTM) unit is used to modeling, which is one of the most popular techniques of deep learning. In addition, historical power load data and meteorological data of Suzhou and Lianyungang in China from January 2015 to December 2017 are used for the study to training and evaluate forecasting model. As a result, this paper shows the compare results with exiting machine algorithm for load forecasting.

关键词： A Deep Learning Based Real-time Load Forecasting Method in Electricity Spot Market

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Design and Implementation of Lightweight Manmachine Terminal Screen Interactive Client

Design and Implementation of Lightweight Manmachine Terminal...

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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Zhimeng Lv Lingyan Que Caishen Fang Xingzhi Wang Yuan He Kun Huang NARI Group Corporation (State Grid Electric Power Research Institute) NARI Technology Co. Ltd. Nanjing China State Grid Zhejiang Electric Power Co. Ltd. No.8 of Huanglong Road Xihu District Hangzhou China East-China Branch of State Grid Co. Ltd. No. 201 Nanjing East Road Huangpu District Shanghai NARI Group Corporation (State Grid Electric Power Research Institute) (National Key Laboratory of smart grid protection and operation control) NARI Technology Co. Ltd. Nanjing China

ISBN: (数字)9781728196060

ISBN: (纸本)9781728196077

According to the characteristics of the “physical distribution and logical integration” of the new generation dispatching automation system, this paper designs a lightweight human-machine terminal display architecture. It also proposes the componentization of the screen and its rendering technology to realize the display of electrical primitives, chart primitives, and non-viewable primitives on lightweight man-machine terminals. Besides, this paper proposes the GIS visual display technology to meet the needs of geographic information display in the dispatch automation system and put forward the interaction technology of picture linkage to improve the interaction flexibility of picture components. Relevant research results have developed prototype system and applied in the field pilot.

关键词： Couplings Visualization Automation Prototypes Rendering (computer graphics) Man-machine systems Geographic information systems

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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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FPGA-based Adaptive Variable Step MPPT Real Time Simulation for Photovoltaic Systems

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IOP Conference Series: Earth and Environmental Science 2021年第1期645卷

作者： Ruxun He Shouxiang Wang Chunyu Zhang Qi Ma Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin 300072 China Tianjin Key Laboratory of Power System Simulation and Control Tianjin University Tianjin 300072 China State Grid Tianjin Electric Power Company Tianjin 300010 China

In order to obtain more output power, maximum power point tracking (MPPT) control technology is usually designed to track the maximum power of photovoltaic (PV) array. The traditional power disturbance observation method tends to cause power oscillation loss, so an adaptive variable step algorithm is presented to balance the tracking accuracy and speed of PV system. Different from off-line simulation, the overall model is built on FPGA to complete the real time digital realization of MPPT control for PV system. Finally, the model is simulated and verified by ModelSim software. The experimental results show that the system can track the maximum power more quickly and accurately in real time.

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