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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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Design and Implementation of Integrated Service Penetration Technology Cross Security Region

Design and Implementation of Integrated Service Penetration ...

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

作者： Qiang Yi Shupeng Wan Kai Zhang Peng Chen Hailong Guo Baoshan Gao System R&D Center NARI Group Corporation NARI Technology Co. Ltd Nanjing China System R&D Center State Key Laboratory of Smart Grid Protection and Control Nanjing China

In the power dispatching automation system, production control security region and management information security region adopt forward and backward isolation devices for physical isolation, with the enhancement of the functional relevance between the security regions and the expansion of the system functions, one-way synchronization of production control security region to management information security region has been unable to meet the requirements of application expansion of supervisory control. In accordance with the principles of safety protection standards, it is urgent to establish a data transmission mechanism that can cross the forward and backward isolation, realize service penetration cross the security region. In this paper, a scheme of integrated service invocation across the security region is proposed, which can be invoked by the service bus that can be transparent and unaware service bus, encapsulate cross domain service protocol, establish virtual access, and complete service invocation. Through the signature verification technology, the service message is tampered in the communication, the communication security of the service invocation is guaranteed, the rights of the service are obtained through the authorization and the security of the service invocation cross the security region. The integrated service invocation technology cross the security region has been applied in Jiangsu Province, Beijing and Hangzhou. It provides a safe and stable support for the construction of the grand operation system, and provides a powerful guarantee for the efficient operation of the power grid.

关键词： Security Production control Power systems Safety Servers Synchronization Dispatching

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Reliability analysis of security and stability control systems with remote redundancy in power systems

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

作者： Xijian Dong Heping Jia Bijun Li Chao Huo Feng Xue Jianbo Luo Xianbo Ke 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 Electrical Engineering Zhejiang University Hangzhou 310027 China Northwest Division of State Grid Corporation of China Xi'an 710048 China.

During the transition period of UHV AC/DC power grid construction in China, the dependence of the secure and reliable operation of power grids on the security and stability control system (SSCS) has been greatly enhanced. SSCS has shown a trend of large-scale, wide-area and complex in recent years. Considering the high reliability requirements of large-scale SSCS, the necessity of redundant configuration of important sites is first outlined in this paper. Moreover, the reliability indices including mis-operation rate and rejection rate of SSCS with and without remote redundancy are analyzed as well as the relationship between reliability indices and failure rate of single device. The key research directions of the reliability research of the SSCS under the new situation are further pointed out.

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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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Self-Healing smart grid system based on artificial neural network

Self-Healing smart grid system based on artificial neural ne...

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2017 IASTED International Conference on Modelling, Identification and control, MIC 2017

作者： Li, Chen Wei, Qi Jian, Shen Zhe, Hou NARI Group Corporation State Grid Electric Power Research Institute Nanjing211106 China NARI Technology Co Ltd Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China Hangzhou Xiao Shan China Power Supply Company China

ISBN: (纸本)9780889869882

In this paper, a novel logic decomposing method in self-healing smart grid system based on neural networks is presented and the theoretical fundamentals of the design are expounded. The proposed automatic smart grid topology search algorithm, which is based on artificial neural network (ANN), realizes the adaptive function of analyzing and updating the self-healing system logic in the grid automatically. Furthermore, the configuration design in a neural network mode makes the system have the parallel processing mechanism and the ability of learning and fault decision-making. The outlet of protection is transferred from the neural networks by adjusting the connecting weights. Therefore, the system can classify and recognize arbitrarily complex connecting mode and acting logic.

关键词： Neural networks

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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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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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