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检索条件"机构=State Key Laboratory Of Smart Grid Protection And Control"

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Digital Management and Application Platform for Security and Stability control Devices

Digital Management and Application Platform for Security and...

引用

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

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

引用

2021 IEEE Sustainable Power and Energy Conference, iSPEC 2021

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

ISBN: (纸本)9781665414395

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. © 2021 IEEE.

关键词： Damping

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Research on Chinese Word Segmentation Algorithm based on Dictionary and Statistical Method and Its Application in the field of Power grid control

Research on Chinese Word Segmentation Algorithm based on Dic...

引用

作者： Chao Shen Jinxia Dai Mengge Mao Kun Zhao Zhen Yan Kun Huang NARI Group Corporation (State Grid Electric Power Research Institute) State Key Laboratory of Smart Grid Protection and Control

In view of the particularity of Chinese word segmentation in the professional field of power grid regulation,the performance of Chinese word segmentation based on traditional statistical algorithm is frequently limited by the corpus training in the proprietary field,and the insufficient ability of Chinese word segmentation based on dictionary algorithm in identifying new words and disambiguation in the proprietary *** paper proposes a Chinese word segmentation method based on the combination of dictionary and statistical method,and applies it to the application scenario of querying the operation status of power *** method constructs a professional dictionary in the field of power grid regulation by using the Double-Array Tree storage *** using the CRF(Conditional Random Fields)train the text data to generate the model file,and the FMM(Forward Maximum Matching) method is used for Chinese word segmentation combined with the professional dictionary in the field of power grid regulation.A fast and accurate online word segmentation method in the field of power grid regulation is designed and implemented,it performs well in some main performance *** the application scenario of querying the power grid operation status,the Chinese word segmentation results obtained by this method combined with the standard query sentence pattern realize the rapid classification of application scenario query and the accurate execution of operation commands,greatly improve the efficiency and accuracy of querying the power grid operation status,and improve the human-computer interaction experience.

关键词： Chinese word segmentation Dictionary Statistical methods Scenario application of power grid regulation

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Sensitivity Analysis of the Flexible Spiral Magnetic Field Energy Harvester

Sensitivity Analysis of the Flexible Spiral Magnetic Field E...

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Power and Energy Systems Engineering (CPESE), International Conference on

作者： Wei Wang Chenjin Xu He Wang Wenbo Su Zhenya Ji Minqiang Hu NARI School of Electrical and Automation Engineering State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing Normal University Nanjing China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China NARI School of Electrical and Automation Engineering Nanjing Normal University Nanjing China

The magnetic field energy harvesting has become a more suitable method for powering the monitoring sensors due to its simple energy harvesting structure, high power density, and stable energy source. However, existing magnetic field energy harvester have limitations such as restricted installation size, single application scenario, and difficulty in installation or disassembly. Motivated by the above problems, this paper proposes a flexible spiral magnetic field energy harvesting (SMFH) method, which is verified by the establishment of energy harvesting models, theoretical derivation, and simulation analysis. On this basis, a comprehensive performance analysis is performed on the number of windings, load characteristics, flexibility, weight, and non-ideal resonant state. Also, the sensitivity of the flexible SMFEH to various parameter changes is deeply analyzed. Finally, the experiments have verified the feasibility of the flexible SMFEH.

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Research on control Strategy and Simulation of MMC-HVDC System Based on Battery Energy Storage System

Research on Control Strategy and Simulation of MMC-HVDC Syst...

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Electrical Engineering and control Science (IC2ECS), International Conference on

作者： Liyu Dai Chaoping Deng Wujie Chao Jinke Wang Junwei Huang Electric Power Research Institute State Grid Fujian Electric Power Co. Ltd Fujian Key Laboratory of Smart Grid Protection and Operation Control Fuzhou China

This paper presents a method of applying MMC based on battery energy storage system (BESS) to HVDC system to realize power decoupling control on AC and DC side. Firstly, the basic structure and working principle of MMC-HVDC system based on BESS are analyzed. Then, based on the mathematical equivalent model, the MMC-BESS decoupling control method based on DC power control is derived, and the AC-DC power decoupling control is realized. Finally, a +400kV MMC-HVDC system is built on the RTDS platform, and the proposed control strategy and power decoupling effect are verified. The results show that the MMC-BESS control strategy proposed in this paper is effective. The MMC-HVDC system based on BESS can realize active power decoupling control between AC side and DC side, and the unbalanced power between AC side and DC side can be compensated by the charge and discharge of BESS.

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Analysis and Testing of U.S.-China key Technology for Charging Interoperability of Electric Vehicles 5

Analysis and Testing of U.S.-China Key Technology for Chargi...

引用

5th International Conference on New Energy and Future Energy System, NEFES 2020

作者： Zhang, X. Cui, J. Zhang, W. Ye, J.D. Li, X.L. NARI Group Corporation State Grid Electric Power Research Institute Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China

At present, China has overtaken the United states to become the world's largest new energy vehicle market. Due to differences in developmental trajectory, developmental mode, and charging standards, China and the U.S. have common interests and the foundation for cooperation, which can work together for a win-win development. Charging interoperability is the basis for ensuring charging safety and interchangeability of electric vehicles. This study examined and compared the differences between China and the U.S. in the standards for conductive AC charging of electric vehicles. The requirements for a control pilot circuit, proximity circuit, current capacity, and charging-state transition timing were analysed. Hierarchical and layered interoperability test cases based on GB/T 34657 and SAE J2953 series were presented. A dual interface interoperability test system was constructed and used to verify the test method rationale. The results provided a mutual inspection solution for AC charging equipment between China and the U.S. and accelerated global application and promotion of the electric vehicle industry. © Published under licence by IOP Publishing Ltd.

关键词： Interoperability

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Improved Droop control for Power grid Considering state-of-charge of Battery Energy Storage

Improved Droop Control for Power Grid Considering State-of-c...

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Electrical Engineering and control Science (IC2ECS), International Conference on

作者： Yuge Chen Zhicheng Li Chaoping Deng Weijun Zhang Shuling Zhang Tongtong Gao Fujian Key Laboratory of Smart Grid Protection and Operation Control Electric Power Research Institute State Grid Fujian Electric Power Co. Ltd Fuzhou China

The constant droop coefficient (DC) in the traditional f-P and V-Q droop control is not conducive to the state-of-charge (SoC) management of the battery energy storage (BES) system. This paper proposes an improved droop control strategy (DCS) for the power grid which considers both the power frequency adjustment of the power system and the SoC management constraints of the BES. The proposed improved DCS is enabled to adjust the DC according to the SoC status of the BES. Case studies verify the effectiveness of the proposed DCS, which significantly reduces the frequency change deviation in the dynamic process of the weak power grid.

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Deep Integration and Learning of Measurement Data in Active Distribution Power Networks for Load Flow Estimation Considering Incomplete Information 6

Deep Integration and Learning of Measurement Data in Active ...

引用

6th IEEE International Electrical and Energy Conference, CIEEC 2023

作者： Diao, Ruisheng Zhou, Aihua Zeng, Ruiyuan Wang, Anqi Shen, Xiaofeng Shun, Jingde Gu, Hua ZJU-UIUC Institute Zhejiang University State Key Laboratory of Clean Energy Utilization Zhejiang Haining314400 China State Grid Smart Grid Research Institute Co. LTD. State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology Jiangsu Nanjing210003 China ZJU-UIUC Institute Zhejiang University Haining China Qingpu Power Supply Company Stage Grid Shanghai Municipal Electric Power Company Shanghai201799 China

ISBN: (纸本)9798350346671

To reach the goals of carbon peaking by 2030 and carbon neutrality by 2060 in China, a growing penetration of PV generation is integrated into the modern distribution power grid, causing challenges in operating the grid to meet security requirements due to the increased dynamics and stochastics. A deep neural network (DNN)-based method is proposed in this paper for estimating load flow solutions in active distribution power networks that typically suffer from incomplete measurements. Adaptive DNN models are trained from massive historical observations obtained from actual measurements or high-fidelity simulations, whose hyperparameters are tuned automatically. Comprehensive case studies are conducted on the IEEE 123-node feeder model with renewable generation considering various levels of missing information as inputs, which validate the effectiveness and robustness of the proposed method. © 2023 IEEE.

关键词： Electric power distribution

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Transient Response Characteristics Analysis of DFIG under Symmetric Voltage Sudden Changes in the grid

Transient Response Characteristics Analysis of DFIG under Sy...

引用

Sustainable Power and Energy Conference (iSPEC)

作者： Hao Jiang Lixiong Xu Xiaodan Cui Yang Liu Jialong Wu Jiaqi Feng School of Electrical Engineering Sichuan University Chengdu China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing Jiangsu

Large-scale grid-connection of wind power has a profound impact on the characteristics of power grids. To study the mechanism of the influence of voltage sudden changes on the transient response characteristics of double-fed wind fields is the basis of ensuring the safe and stable operation of power grids. In this paper, the expression of rotor current under symmetrical voltage sudden changes is derived, and the related factors affecting the transient response characteristics of rotor current are analyzed. Then, a detailed DFIG model is built in PSCAD, and a variety of scenarios are simulated to verify the accuracy of the proposed doubly-fed fan’s transient response characteristics under symmetrical voltage sudden changes.

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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...

引用

2021 China Automation Congress, CAC 2021

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

ISBN: (纸本)9781665426473

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. © 2021 IEEE

关键词： Anomaly detection

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