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

作者： Yanzhen Zhou Qiang Liu Qinglai Guo Hongbin Sun Xianyu Zha Feng Xue Wenlu Zhao Chen Li Zhijian Zhang Liangliang Hao Department of Electrical Engineering Tsinghua University Beijing China State Key Laboratory of Smart Grid Protection and Control State Grid Electric Power Research Institute Jiangsu China State Grid Xinyuan Maintenance Branch State Grid Xinyuan Company Ltd. Beijing China State Grid Beijing Electric Power Dispatching and Control Center Beijing China School of Electrical Engineering Beijing Jiaotong University Beijing China

Machine learning methods have been considered as a promising method for online transient stability analysis. This paper presents a deep learning approach for transient stability prediction and unstable generator identification based on convolutional neural networks (CNNs). The post-disturbance dynamic responses of all the generators are utilized as the input features. A binary classification CNN model is generated for transient stability prediction. And a multi-class classification CNN model is built for unstable generator identification. Moreover, the multi-class CNN model can provide the unstable probability of each generator using the probability outputs and the label information. Comprehensive studies are conducted on the New England 10-machine 39-bus system to verify the effectiveness of the proposed approach.

关键词： Generators Power system stability Stability analysis Transient analysis Predictive models Thermal stability

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Ultra-short-term wind speed forecasting method based on spatial and temporal correlation models

Ultra-short-term wind speed forecasting method based on spat...

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6th International Conference on Renewable Power Generation

作者： Zhou, Haiqiang Xue, Yusheng Guo, Jizhu Chen, Jiehui Energy and Electrical Engineering School Hohai University Nanjing Jiangsu Province211100 China NARI Group Corporation State Grid Electric Power Research Institute Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China

An ultra-short-term wind speed forecasting method based on spatial and temporal correlation models is proposed. Firstly, the temporal correlation model was studied. The generalised distance of wind speed time series is defined based on the dynamic time warping distance and correlation coefficient. Samples with similar wind dynamic patterns are classed into the same group. Time series in one group are depicted with a representative time series which is modelled by an autoregressive moving average (ARMA) model. For time series which cannot be classed to any of these groups, a special group was defined. It was modelled by artificial neural network (ANN). Secondly, the spatial correlation between the target wind farm and the reference wind farm was investigated with the meteorological data taking into consideration. The grey prediction method is utilised to predict the wind speed. Finally, the combined ultra-short-term wind speed forecasting method is proposed. It takes into account the inherent time correlation of the target wind speed and its spatial correlation with reference wind farm. The wind speed prediction of wind farms in northwest USA verifies the effectiveness and feasibility of the proposed method. © 2017 Institution of Engineering and Technology. All rights reserved.

关键词： Time series

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Realization of a Master-slave Mode Co-simulation in Cyber Physical System Based on Hybrid Time Synchronization Strategy

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Dianli Xitong Zidonghua/Automation of Electric Power Systems 2017年第10期41卷 9-15and91页

作者： Zhou, Li Wu, Zaijun Sun, Jun Su, Chen Gu, Wei Shi, Yuxiang School of Electrical Engineering Southeast University Nanjing210096 China NARI Group Corporation State Grid Electric Power Research Institute Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China

Along with the deeper coupling between power system and information communication system, such traditional simulation methods as decoupling communication and ideal simulation can hardly satisfy the realistic demand because of the communication faults of time delay, bit error and interruption. Based on an analysis of existing modeling techniques of cyber physical system, a master-slave mode co-simulation platform supported by MATLAB and OPNET is proposed. Some key problems such as the co-simulation framework, the model in MATLAB and OPNET, software-based virtual measuring equipment and interactive interface are expounded, in which a hybrid time synchronization strategy is designed and analyzed. A microgrid case study is given to demonstrate the feasibility and availability of the co-simulation platform. © 2017 Automation of Electric Power Systems Press.

关键词： Cyber Physical System

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The Research of New Network Architecture of protection and control Device in Substation

The Research of New Network Architecture of Protection and C...

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“紫金论电”2017智能电网保护和运行控制国际学术研讨会

作者： ZHENG Yuping WU Tonghua DAI Wei ZHOU Hualiang LI Yanxin JIANG Yuan State Key Laboratory of Smart Grid Protection and Control Nanjing 211106China NARI Group Corporatio State Key Laboratory of Smart Grid Protection and Control Nanjing 211106China NARI Technology Co.Lt State Key Laboratory of Smart Grid Protection and Control Nanjing 211106China NARI Technology Co.Lt NARI Technology Co.Ltd. Nanjing 211106China

The paper presents the configuration principle on near-process installation of protection and control device firstly,regarding to problems and challenges relevant to equipment configuration and telecommunication network brought up by secondary device near-process installation in ***,the solutions of secondary near-process device configuration are also proposed which include relay protection within both standalone bay and across bays,bay control unit and public terminal,*** addition,two telecommunication solutions are also given based on the above,which include two aspects,the first is the network architecture with MMS/SV/GOOSE network all in one based on PRP,and the second is HSR network which is independent on ***,network performance is estimated and compared quantized.

关键词： near-process installation network architecture multi-HSR PRP MMS/SV/GOOSE network public terminal synchronous sampling

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Vertically Integrated Outdoor In-situ Line protection

Vertically Integrated Outdoor In-situ Line Protection

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“紫金论电”2017智能电网保护和运行控制国际学术研讨会

作者： WU Tonghua ZHENG Yuping HU Guo YAO Gang ZHOU Hualiang Hou Xiaofan State Key Laboratory of Smart Grid Protection and Control Nanjing 211106China NARI Technology Co.Lt State Key Laboratory of Smart Grid Protection and Control Nanjing 211106China NARI Group Corporatio NARI Technology Co.Ltd. Nanjing 211106China State Key Laboratory of Smart Grid Protection and Control Nanjing 211106China NARI Technology Co.Lt

Aiming at the problems of speed,reliability,operation and maintenance in the practical application of line protection in conventional and smart substation,system architecture and technical scheme of in-situ(similar with the meaning of on site or near process)line protection based on vertical integration and outdoor installation are *** functions of single-bay merge unit,relay protection,intelligent terminal are integrated vertically to reduce device amounts and varieties,simply configuration,reduce signal transmission,shorten the protection action ***'s more,this vertically integrated device is applied to provide data acquisition and control execution support for substation-area protection,security and stability device and other substation-area *** performances are tested and ***,the scheme is verified to be feasible and advanced through the results of the experiment.

关键词： in-situ relay protection line protection merge unit vertical integration

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Call for papers of ZIJIN-2018 International Forum on smart grid protection and control

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Journal of Modern Power Systems and Clean Energy 2018年第3期6卷 619-619页

作者： state key laboratory of smart grid protection and control, SKL of SGPC State Key Laboratory of Smart Grid Protection and Control SKL of SGPC

It is a pleasure to invite experts and scholars from around the world to participate in the 3rd International Forum on smart grid protection and control, which will be held in nanjing, Jiangsu Province, China from Aug. 18th to 19th, 2018. The purposes of the forum are to strengthen the international academic exchanges in the field of smart grid protection.

关键词： Call for papers of ZIJIN-2018 International Forum on smart grid protection and control

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Ensemble learning for image recognition

Ensemble learning for image recognition

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International Conference on Intelligent System and Knowledge Engineering, ISKE

作者： Xu Chen Long Hong Guofang Huang School of Computer Nanjing University of Posts and Telecommunications Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China

With the continuous development of the Internet and information technology, data has penetrated into every area of today's industry and business functions. Now, data has been already one of the most valuable assets in the Internet and a core element of a company's competitiveness. There seems to have endless data on the Internet, then most of it cannot create value. When we face data mining, wo need to complete a lot of data cleaning tasks. Nowadays, the rapid development of machine learning, especially the deep of learning, has made excellent achievements in natural language processing and image recognition. The paper combines multiple strong learning machine to complete the data learning tasks and image recognition based on ensemble learning, thereby reduce the pressure on the server storage and investment of resource.

关键词： Convolution Kernel Image recognition Feature extraction Biological neural networks Internet

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Research on an improved visual background extraction algorithm

Research on an improved visual background extraction algorit...

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International Conference on Intelligent System and Knowledge Engineering, ISKE

作者： Dandan Lu Ningning Zhou Guofang Huang School of Computer Nanjing University of Posts and Telecommunications Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China

The visual background extraction algorithm (ViBe) uses the first frame of the video as the initial frame to initialize the background model. If the initial frame of the background model has a moving object or the state of the moving object changes (from still to motion or from motion to still) or the update rate of the background model is not synchronized with the background variability, there will be false target which is known as ghost. Aiming at this problem, a discriminant method based on histogram similarity measure of foreground region and neighborhood background region is proposed. The algorithm can detect ghost regions from the moving area. The experimental results show that compared with the traditional algorithm, the improved algorithm can effectively remove the ghost of foreground detection, and the detection of the object is more accurate.

关键词： Histograms Computational modeling Heuristic algorithms Algorithm design and analysis Visualization Object detection High definition video

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Study on target tracking algorithm integrating color and contour features

Study on target tracking algorithm integrating color and con...

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International Conference on Intelligent System and Knowledge Engineering, ISKE

作者： Baoying Chen Ningning Zhou Guofang Huang School of Computer Nanjing University of Posts and Telecommunications Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China

Aiming at the instability of traditional color feature tracking algorithm in some complex scenes, an object tracking algorithm with integrating color and contour features is proposed. The algorithm still uses the traditional particle filter to predict the target, but in iteration every time, when searching the best position of the target, the color and contour information of the target can be adaptively combined. Experiments show that it shows good effectiveness and robustness compared with the traditional algorithms when the target is interfered between similar colors or the target is partially obscured.

关键词： Target tracking Image color analysis Histograms Particle filters Shape Interference Prediction algorithms

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A review of stability control technologies for power systems in China

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IOP Conference Series: Earth and Environmental Science 2019年第3期227卷

作者： Jianbo Luo Xijian Dong Feng Xue Yanhong Wei Bijun Li Jie Pan Xiaodan Cui Nan Liu NARI Group Corporation(State Grid Electric Power Research Institute) Nanjing 211106 China State Key Laboratory of Smart Grid Protection and Operation Nanjing 211106 China Guizhou Jinzhou Electric Power Co. Ltd Jinzhou 562400 China State Grid Shanxi Electric Power Company Taiyuan 030001 China State Grid Baoding Electric Power Supply Company Baoding 071027 China

During the transitional period of UHV network construction, the power grid's characteristics of 'Strong DC and Weak AC' are prominent. Moreover, the high penetration of renewable energies has made the characteristics of power systems profoundly changed facing high operation risks. The security and stability control technologies need to be reviewed considering current development situations and combine the characteristics of the grid to make innovation. This paper analyses the development and status quo of stability control technologies from the security and stability control systems which belong to the second defense line. Moreover, frequency and voltage emergency control devices and out-of-step separation devices which belong to the third defense line, as well as features of the security and stability control devices are investigated. According to the planning and development of the future power grid, the development directions of the security control technology is pointed out.

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