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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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Digital Management and Application Platform for Security and Stability control Devices

Digital Management and Application Platform for Security and...

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Power and Energy (PandaFPE), Panda Forum on

作者： Fengjie Shen Jianbing Xu Yuqiang Hou Kang Zhao State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation (State Grid Electric Power Research Institute) Nanjing China State Grid Shandong Electric Power Research Institute Jinan China

The management of massive security and stability control devices (SSCD) configured for power grids is relatively decentralized, and there is an urgent need for refinement and intensification. Focusing on the purpose of improving the reliability level of SSCD, and referring to the power grid digitization work plan, this paper constructs a digital management and application platform for SSCDs based on “running on the cloud platform+localization”. First, it introduces the platform positioning and overall framework, and then elaborates the business functions such as device management, version management, test management, evaluation and decision-making. This achieves digital management and reliability test evaluation of mass SSCDs, also improves the reliability level of SSCDs. Finally, illustrates the actual application effect of this platform in a laboratory.

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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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Wind-Storage Coordinated control Strategy for Inertia Enhancement of High Ratio Renewable Energy Power Systems

SSRN

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SSRN 2024年

作者： Shu, Hongchun Dong, Haifei Wang, Guangxue Chen, Jing Shi, Botao Tang, Yutao the State Key Laboratory Collaborative Innovation Center for Smart Grid Fault Detection Protection and Control Jointly Yunnan Key Laboratory of Green Energy and Digital Power Measurement Control and Protection Kunming University of Science and Technology Kunming650500 China

The replacement of thermal power units with renewable energy power generation equipment like wind and photovoltaics has decreased the inertia level of power systems and weakened the frequency stability of the power grid. In order to improve the inertia level of the new power systems and strengthen the inertia support capability of the renewable energy power system to the grid, a wind-storage coordinated control strategy for the inertia enhancement of high-proportion renewable energy power system is proposed in this paper. A time domain model of the inertia response of the wind-storage coordinated control system is also established. An inertia level enhancement strategy of virtual inertia and virtual sag coordinated control of wind-storage joint system is proposed. It improves the system inertia using the analysis results of system inertia requirements as data support and considering the characteristics of battery storage with fast charging and discharging response, and flexible capacity configuration. In addition, the effectiveness of energy storage system (ESS) participation in system inertia enhancement is guaranteed by proposing energy storage based on the ESS state of charge (SOC), which participates in the inertia of the new energy power system to enhance the control coefficient adaptive strategy. Finally, a comparative analysis is carried out using RTLAB simulation test to verify the effectiveness of the method proposed in this paper. © 2024, The Authors. All rights reserved.

关键词： Frequency response

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Research on Service-Oriented Substation Wide-Area Operation and Maintenance System and Its Application

Research on Service-Oriented Substation Wide-Area Operation ...

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Sustainable Power and Energy Conference (iSPEC)

作者： Feng Liang Xudong Liang Shanglin Yang Hongxiang Pan NARI Group Corporation State Key Laboratory of Smart Grid Protection and Control Nanjing China NARI Group Corporation Nanjing China

ISBN: (数字)9781728191645

ISBN: (纸本)9781728191652

The substation has the features of a large quantity and wide-area distribution. With the promotion of unattended mode, it has become increasingly difficult to adapt to the needs of smart grid development using traditional field-based automatic equipment operation and maintenance(O&M) method. Meanwhile, there is a shortage of professional and technical personnel, and the O&M technology of a large number of intelligent heterogeneous secondary equipment is complicated and challenging to maintain. Therefore, it is urgent to solve the problems of O&M efficiency, timeliness and technical complexity of a large number of substations. Based on the service-oriented idea, this article has designed the overall structure of the trinity of service management center, O&M center and O&M substation. This paper also proposes a GSP-based service standardization interaction mechanism. Through Safety management and control process of O&M service, O&M advanced applications are designed to achieves the automation equipment specification, safe and reliable remote operation and maintenance.

关键词： Substation automation Safety management Production Standardization Reliability engineering Smart grids Security

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Small-Signal Modeling of Modular Multilevel DC Transformer 5th

Small-Signal Modeling of Modular Multilevel DC Transformer

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International Top-Level Forum on Engineering Science and Technology Development Strategy and 5th PURPLE MOUNTAIN FORUM on Smart grid protection and control, PMF2020

作者： Hou, Kai Wu, Xingyu Min, Fuhong Wang, Zhigang Wang, Guoning State Key Laboratory of Smart Grid Protection and Control Nanjing Jiangsu211106 China Nanjing Jiangsu211106 China NARI Technology Co. Ltd. Nanjing Jiangsu211106 China School of Electrical and Automation Engineering Nanjing Normal University Nanjing210023 China

ISBN: (纸本)9789811597459

The dc transformer is considered to be one of the most promising components in future energy systems. The modular multilevel dc transformer inherits many of the characteristics of modular multilevel converter and dual active bridge, which brings many advantages and leads to different working principles from traditional dc transformers. In this paper, the mathematical model is obtained by harmonic decomposition and the small-signal model is obtained by linearization. The parameters of the PI controller are designed according to the small-signal model. The open-loop time-domain simulation verifies the accuracy of the mathematical model. The closed-loop simulation model verifies the reliability of the PI controller. After adding the PI controller, the results of the output voltage show that the model has fast dynamic response with no static errors, which proves that the model obtained by the harmonic decomposition is reliable. © 2021, Springer Nature Singapore Pte Ltd.

关键词： DC transformers

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Real Time Monitoring Method of Comprehensive Energy Consumption Based on Data Mining Algorithm

Real Time Monitoring Method of Comprehensive Energy Consumpt...

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作者： Qian, Gang Tang, Chenghong Meng, Yao Qi, Xiaomin Wang, Jingtao Zhou, Jing State Grid Shaoxing Power Supply Company Zhejiang Shaoxing312099 China State Grid Electric Power Research Institute Nanjing211106 China Nari Technology Development Limited Company Nanjing211106 China State Key Laboratory of Smart Grid Protection and Operation Control Nanjing211106 China China Electric Power Planning and Engineering Institute Beijing100120 China Beijing Nari Digital Technology Co. Ltd. Beijing100085 China

With the expansion of data centers, total consumption is growing exponentially. The center is faced with problems such as reducing power consumption, reducing costs and improving resource utilization. Reducing energy costs through monitoring is an important means of energy conservation in data centers. In recent years, more and more real-time energy consumption data are stored on the energy consumption management platform. There is a wealth of knowledge hidden in the energy consumption data in recent years. A large amount of data simplifies the traditional methods, and data mining methods have achieved good results in many fields. Therefore, it is of great significance to study a new energy consumption monitoring system and introduce data mining method into the system. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Energy utilization

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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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Review of cyber physical system and cyber attack modeling

Review of cyber physical system and cyber attack modeling

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IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

作者： Haofei Fan Ming Ni Lili Zhao Manli Li NARI Group Corporation NARI Technology Co. Ltd State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9781728157481

ISBN: (纸本)9781728157498

Cyber Physics Systems consists of physical systems and information systems. Modern power systems are increasingly dependent on information systems, experts and scholars are paying more and more attention to cyber attacks on CPS. This paper first introduces the existing research on cyber physical power system. Then this paper reviews the current status of existing cyber attacks. Finally, the modeling method for CPS is summarized such as correlation characteristic matrix, graph theory, complex network theory, finite state machine, mathematical programming and cellular automata method. These methods have vital theoretical and practical significance for the research of cyber physical power system.

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A Flow-Guided Anomaly Detection Method For Substation Equipment in Changing Scenarios

A Flow-Guided Anomaly Detection Method For Substation Equipm...

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Chinese Automation Congress (CAC)

作者： Qingwei Zhang Jing Wang Peng Wang Wenhao Zhou Yingxuan Li Chunhui Zhao State Key Laboratory of Smart Grid Protection and Control NARI Technology Development Company Limited Nanjing China Stale Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou China

ISBN: (纸本)9781665426480

The anomaly detection for substation equipment is of great significance to maintain the safe operation of substations. With the development of deep learning, many anomaly detection methods based on deep convolutional neural networks (CNN) have been proposed. However, the challenge lies in the diversity of the environment and the variety of anomaly types in the substation. This paper proposes a Flow- Guided Anomaly Detection Method, which contains a data augmentation module and a flow-guided feature fusion module. The data augmentation module utilizes CycleGAN to transfer the style of the images to adapt to changing scenarios, such as different illumination and season conditions. The flow-guided feature fusion module extracts the optical flow between the test image and the template image by a pre-trained FlowNet, which represents the change information between the image pair and is universal for different anomaly types. Then the appearance information and change information of the image are aggregated to obtain the fused feature, which contains more semantic information. Finally, the fused feature is utilized to accurately detect a wider range of abnormal types. Experiments show that our proposed method has superior performance in anomaly detection for substation equipment and is more robust to changing scenarios.

关键词： Deep learning Adaptation models Substations Fuses Semantics Lighting Feature extraction

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