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检索条件"机构=State Key Laboratory of Smart Gird Protection and Control"

共 377 条记录，以下是241-250 订阅

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An Intelligent Indoor Localization System in the NLOS Environment Based on Deep Learning and CSI Images

An Intelligent Indoor Localization System in the NLOS Enviro...

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International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Lu Sun Liang Wu Zaichen Zhang Jian Dang Yulong Shen Gefeng Huang Liliang Ding National Mobile Communications Research Laboratory Southeast University Nanjing P.R.China Purple Mountain Laboratory Nanjing P.R.China State Key Laboratory of Smart Grid Protection and Control NARI Group Co. Ltd Nanjing China

ISBN: (纸本)9781665450867

With the rapid development of the smart service industry, indoor high-precision localization technology in the non-line-of-sight (NLOS) environment has attracted great interest. Fingerprint-based indoor localization has been widely employed due to its low hardware cost and high localization accuracy. In this paper, we propose an indoor intelligent localization system based on a 2-dimensional deep convolutional neural network (2D DCNN) and image fingerprints extracted from the channel state information (CSI). Simulation results show that the proposed localization system can achieve a high localization accuracy in the NLOS environment.

关键词： Location awareness Deep learning Wireless communication Simulation Signal processing algorithms Fingerprint recognition Signal processing

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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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Short-Term Power Forecasting for Wind Power Generation Under Extreme Weather Conditions

Short-Term Power Forecasting for Wind Power Generation Under...

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IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)

作者： Yuexin Song Yizhi Chen Chenghong Tang Wei Wang Hao Xiao Wei Pei Yanhong Yang Grid Technology Research Group Institute of Electrical Engineering Chinese Academy of Sciences Beijing China State Key Laboratory of Smart Grid Protection and Control NARI Technology Co. Ltd NARI Group Corporation (State Grid Electric Power Research Institute) Nanjing China Chinese Academy of Sciences Institute of Electrical Engineering Beijing China

Extreme weather poses a great challenge to the safe operation of wind power and new power systems dominated by wind power. Providing accurate wind power prediction will be an effective response. For this reason, this paper proposed a short-term power forecasting for wind power generation under extreme weather conditions. Firstly, the relationship between wind speed and wind turbine output power is analyzed and a wind power generation model is established. Then, the Long Short-Term Memory Neural Network (LSTM) is applied to construct a short-term power prediction model for wind turbines, and establishes three models for wind turbine decommissioning under extreme weather. Moreover, the climbing control strategy of wind turbine is also investigated to guarantee the system safety, stability and operation economy. Finally, the numerical analysis is carried out on the wind farm consists of 28 wind turbines, the results verify the effectiveness and superiority of the proposed method.

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Developing Characteristics of Oil-immersed Transformer Internal Fault with Dignostic Method Using Convergence Patterns of Free Gas

Developing Characteristics of Oil-immersed Transformer Inter...

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Electrical Engineering (CIYCEE), IEEE China International Youth Conference on

作者： Yucheng Zhang Zhiguo Hao Yuping Zheng Shuyan Pan Boyu Li Zhongxin Xue Jinzhao Deng School of Electrical Engineering Xi’an Jiaotong University Xi’an China State Key Laboratory of Smart Grid Protection and Operation Control Nanjing China

ISBN: (纸本)9781665400657

Light gas protection only operates when gas within the transformer collection chamber reaches threshold volume. Such criterion failed to reflect transformer conditions accurately due to the lack of understanding for defect developing process and corresponding gas generation- convergence pattern, which has led to lower protection reliability and has caused several transformer explosions. To address current problem, an experimental tank with structure resembling that of a power transformer is set up, inside which the needle-plate oil-pressboard breakdown model is planted. Experimental results indicate that throughout fault development, voltage drops became more frequent until arcing occurs, so is HFCT signal; meanwhile gas generation rate increases through slight partial discharge, spark discharge and arcing stage, the collected gas volume corresponds with patterns above. The purpose of this study is to clarify the defect developing process and the gas generation-convergence pattern for oil-immersed transformer internal fault in guidance for a more reliable protection method.

关键词： Surface discharges Windings Oil insulation Discharges (electric) Reliability Sparks Plastics

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Maximum Capacity Assessment for Multi-paralleled Grid-connected Inverters using Global-Admittance based Harmonic Stability Analysis

Maximum Capacity Assessment for Multi-paralleled Grid-connec...

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Sustainable Power and Energy Conference (iSPEC)

作者： Ming Yang Fusuo Liu Yu Wang Wu Cao School of Electrical Engineering Southeast University Nanjing China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China

ISBN: (纸本)9781665414401

With the increasing demand for the renewable energy, the stability of the multi-paralleled grid-connected inverters is the important factor for evaluation the capacity of the inverters connected to power grid. In this paper the maximum capacity assessment for multi-paralleled grid-connected inverters using global-admittance based harmonic stability analysis is proposed. The stability analysis method with global admittance has clear physical concept and is convenient for real-time analysis and calculation. The global admittance method is illustrated first. The inverters are sorted by the capacity. The inverters sequence can be divided into two groups based on the stable critical point obtained by the global admittance method. The group with large capacity is taken as a unit. The stability of the combinations formed by this unit and other inverters in the other group is analyzed further. So the maximum capacity of the grid-connected inverters can be assessed. The application example is used to illustrate and verify the proposed method in this paper.

关键词： Renewable energy sources Systems operation Stability criteria Power system stability Harmonic analysis Inverters Power grids

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A review on the application of grid-forming control in power system

A review on the application of grid-forming control in power...

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Sustainable Power and Energy Conference (iSPEC)

作者： Bo Yao Qinran Hu Xiangjun Quan Wei Li Ling Zhu School of Electrical and Automation Engineering Nanjing Normal University Nanjing China State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation/State Grid Electric Power Research Institute School of Electrical Engineering Southeast University Nanjing China State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation/State Grid Electric Power Research Institute

ISBN: (纸本)9781665414401

Due to the continuous improvement of new energy penetration, grid-forming control has become a hot issue in grid-connected technology. Grid-forming control simulates the mechanical and electrical transient characteristics of the synchronous unit. The power or load using the converter has the inertia, damping, frequency and voltage adjustment, and other operating characteristics of the synchronous unit machine technology. This paper introduces the development process and basic concept of grid-forming control. It introduces the application of grid-forming control from three aspects of grid connection, frequency modulation, and virtual inertia. This paper focuses on the current problems of grid-forming control, such as control parameter tuning, power oscillation, and parallel grid-forming control circulation. At the same time, the prospect of research direction is put forward given the above problems.

关键词： Damping Frequency modulation Stability criteria Power system stability control systems Voltage control Transient analysis

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Typical Influence of Wind Power Capacity Expansion on the Transient Angle Stability and Feasible Explanations

Typical Influence of Wind Power Capacity Expansion on the Tr...

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Sustainable Power and Energy Conference (iSPEC)

作者： Tiangang Huang State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9781728191645

ISBN: (纸本)9781728191652

The high proportion of renewable energy into the power grid, say, the large-scale wind power generation connected to the power grid, is the key approach to achieve the clean and low-carbon energy transition. Under the premise of ensuring power grid's safe and stable operation, it is necessary to study the influence of wind power capacity expansion on the transient angle stability (TAS). Aiming at several typical dominant modes in Qinghai power system, which holds many new energy resources, the sensitivity of wind power capacity expansion in different locations to the TAS, as well as its key influence factors and feasible explanations, are explored. It may lay the foundation of the location optimization of wind power capacity expansion.

关键词： Stability criteria Wind power generation Power system stability Power grids Transient analysis Thermal stability Optimization

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Automatic Generation Method of Multi-Bays Graph In Power System based on Real-time Topological Model

Automatic Generation Method of Multi-Bays Graph In Power Sys...

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作者： Yuan Gao LianJie Chen Peng Si YunGuang Su CaiShen Fang Hua Xu Kun Huang NARI Group Corporation(State Grid Electric Power Research Institute) NARI Technology Co. Ltd. NARI Group Corporation(State Grid Electric Power Research Institute) NARI Technology Co. Ltd.State Key Laboratory of Smart Grid Protection and Control

Substation supervisory control is an essential part of power grid monitoring system. Besides the power flow between substations, the running states of the devices in substations are important to the staff in power grid. At present, the substation devices with their running states are drawn in electrical bay graphs, which are widely used in the power grid dispatching department. Traditional electrical bay graphs contain devices in only one substation and the drawing process of the graph relies on manual work. In this paper, an automatic generation method of multi-bay graph in power system based on real-time topological model is proposed. There are two stages in the method. In the first stage, necessary model information is obtained according to topology in real-time database. In the second stage, the bay features are firstly built in the method and the classification of the bays is achieved by these ***, a data structure of device tree is proposed and the automatic layout of devices is realized based on the data structure. Finally, automatic wiring of the devices is achieved from the perspective of aesthetic and objectivity. Experimental results show that the graph drawn by the proposed method could not only reflect the actual connection mode and running states of the substation devices but also show the power flow between these substations. The proposed drawing method could reduce manual operations and improve the work efficiency of the power grid staff.

关键词： Multi-Bays Graph Device Tree Automatic Layout Automatic Wiring

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A Fault Ride-Through Method of Paralleled Synchronous and Virtual Synchronous Generators in Islanded Microgrids

A Fault Ride-Through Method of Paralleled Synchronous and Vi...

引用

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

作者： Yanfei Ru Feng Zhao Zhangtao Jin State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China College of Electrical and Information Engineering Hunan University Changsha China

ISBN: (纸本)9781665434263

With the development of distributed power generation technologies, parallel operations of virtual synchronous generators (VSGs) and synchronous generators (SGs) become increasingly common in a microgrid. Due to the low overcurrent capacity of VSGs, fault ride-through (FRT) is necessary for microgrids, which makes the transient stability of SG-VSG-based microgrids be different from the traditional power system. In this paper, a new abnormal overcurrent phenomenon caused by FRT is discovered in SG-VSG-based islanded microgrids. Then, characteristics of the output current of the VSG which uses different parameters are compared and analyzed. Furthermore, an optimized FRT method is proposed, which suppresses the abnormal overcurrent. Finally, a simulation is performed to verify the effectiveness of the proposed method on the PSCAD/EMTDC.

关键词： Microgrids System integration Switches Power system stability Synchronous generators Inverters Stability analysis

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A Measurement Method for Wide-frequency Harmonic Signal in Power Grid Based on Window Interpolation FFT and RLS-Adaline Neural Network 2

A Measurement Method for Wide-frequency Harmonic Signal in P...

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2021 2nd International Conference on Electrical, Electronic Information and Communication Engineering, EEICE 2021

作者： Peng, Jiawei Pan, Shuguo Wang, Wenxiu Zhang, Min Shen, Jian Gao, Wang Xia, Chenglin School of Instrument Science and Engineering Southeast University Jiangsu Nanjing210096 China School of Electronic and Information Engineering Jinling Institute of Technology Jiangsu Nanjing211169 China Nari Technology Co. Ltd Jiangsu Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Jiangsu Nanjing211106 China

With the increase of non-linear loads in power grid and the development of power electronics, the growing serious harmonic pollution has put forward higher requirements for the accuracy and real-time performance of the measurement method. For this problem, this paper proposes a wide-frequency harmonic signal measurement method based on window interpolation FFT and adaptive neural network. After the window function is selected, the frequency of harmonic is estimated by double-spectrum-line interpolation algorithm based on three-term third derivative Nuttall window, and then the smoothed frequencies are input into RLS-Adaline neural network to estimate the amplitude and phase of each harmonic. The simulation results show that the proposed method has higher measurement accuracy and stability under few data conditions and low signal-to-noise ratios than conventional window interpolation algorithms. High accuracy measurement of harmonics with short time window in the range of 0∼2.5kHz is effectively realized. © Published under licence by IOP Publishing Ltd.

关键词： Fast Fourier transforms

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