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Development and prospect of direct‐current circuit breaker in China

High Voltage 2021年第1期6卷 1-15页

作者： Weijiang Chen Rong Zeng Junjia He Yi Wu Xiaoguang Wei Taixun Fang Zhanqing Yu Zhao Yuan Yifei Wu Wandi Zhou Bing Yang Lu Qu STATE GRID Corporation of China BeijingChina Department of Electrical Engineering Key Laboratory of Control and Simulation of Power System and Generation EquipmentTsinghua UniversityBeijingChina School of Electric and Electronic Engineering Huazhong University of Science&TechnologyWuhanChina School of Electrical Engineering Xi'an Jiaotong UniversityXi'anChina Global Energy Interconnection Research Institute Co. LtdBeijingChina NR Electric Co. LtdNanjingChina

The direct‐current circuit breaker(DCCB)is the most ideal choice for DC fault isolation in DC *** a late start,China's research and development on the DCCB have made outstanding *** article provides a brief glance of current China's DCCB development *** begins by sorting out the technical route according to the topology of *** it systematically summarises both mechanical and hybrid DCCBs with focussing on the aspects of topology structure and principle,key technology and characteristics,prototype development and *** is apparent that Chinese scientists and engineers confronted the worldwide problem of large capacity DC breaking,and put forward a comprehensive solution which consists of an innovative topology structure based on coupled negative voltage circuit,breaking throughs on the key technologies such as highly controllable and reliable fault current commutation,millisecond‐level ultra‐fast and efficient electromagnetic repulsion mechanism,high tolerance and high stability power electronic switch,low residual voltage and fast response energy consumption device,*** article states that the world's first set of hybrid high‐voltage(HV)DCCB,and the first set of mechanical HV DCCB have been *** DCCBs will soon be deployed to the DC grids which have the highest voltage levels therefore require the strongest breaking *** achievements are leading the world in the development and application of *** article also discusses the overall development trends of DCCB in the areas of new topologies,key techno-logical breakthroughs and application scenarios,*** discussions serve as references for DCCB's future technological advancement and its ever‐expanding applications.

关键词： breaking breakthrough discussions

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Super-Resolution Reconstruction of Electric power Inspection Images Based on Very Deep Network Super Resolution 6th

Super-Resolution Reconstruction of Electric Power Inspection...

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6th International Conference on Artificial Intelligence and Security, ICAIS 2020

作者： Shi, Bowen Gao, Jilong He, Zhentao Zhang, Tian Zhong, Tie Chen, Haipeng Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin CityJilin132012 China College of Electrical Engineering Northeast Electric Power University Jilin CityJilin132012 China School of Physics Northeast Normal University Changchun130024 China

ISBN: (纸本)9783030578831

Aiming at the problem of getting low resolution image and blurred image during unmanned aerial vehicle (UAV) inspection, a super-resolution reconstruction algorithm based on very deep network super resolution (VDSR) is proposed. The algorithm model is composed of deep convolution neural network and residual structure, which is improved on the basis of super resolution convolutional neural network (SRCNN). By deepening the network to 20 layers, the receptive field can be expanded, and the residual structure can be combined to obtain better reconstruction effect. The experimental results show that the proposed super-resolution method based on VDSR has richer texture and more realistic visual effect, with 2.95 dB and 0.037 improvement in PSNR and SSIM compared with the super-resolution methods based on Bicubic Interpolation, Sparse Coding and SRCNN. The proposed algorithm further promotes the theoretical research of inspection image super-resolution, and can be effectively applied to the practical application of power inspection. © 2020, Springer Nature Switzerland AG.

关键词： Textures

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power system Transient Stability Assessment Method Based on CapsNet

Power System Transient Stability Assessment Method Based on ...

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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Tian, Xu An, Jun Mu, Gang Department of Electrical Engineering Key Laboratory of Modern Power System Simulation and Control Renewable Energy Technology Ministry of Education Jilin China

ISBN: (纸本)9781728135205

This paper addresses the need to make judgments quickly and accurately after a transient stability failure in the power system. A method for transient stability assessment of power systems based on CapsNet is proposed. This method does not require manual calculation and is based directly on simulation data. Using the self-learning ability of the CapsNet and strong feature extraction ability, the offline training model is used to find the mapping relationship between the input data set and the transient stability, and then online evaluation. This paper effectively improves the accuracy of the evaluation by constructing the input data matrix;By improving the parameters in the network, the calculation speed is effectively improved, and the robustness and generalization ability of the model are enhanced. The idea of "fast measurement, fast resolution, fast control" has been achieved. The simulation results of IEEE-39 node system verify the effectiveness of the proposed method, and the proposed method is superior to the evaluation model of other machine learning methods. © 2019 IEEE.

关键词： Feature extraction

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Detection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approach

arXiv

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arXiv 2022年

作者： Li, Yang Wei, Xinhao Li, Yuanzheng Dong, Zhaoyang Shahidehpour, Mohammad The Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China The School of Artifcial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China The School of Electrical and Electronic Engineering Nanyang Technological University 639798 Singapore The Electrical and Computer Engineering Department Illinois Institute of Technology ChicagoIL60616 United States The ECE Department The King Abdulaziz University Saudi Arabia

As an important cyber-physical system (CPS), smart grid is highly vulnerable to cyber attacks. Amongst various types of attacks, false data injection attack (FDIA) proves to be one of the top-priority cyber-related issues and has received increasing attention in recent years. However, so far little attention has been paid to privacy preservation issues in the detection of FDIAs in smart grids. Inspired by federated learning, a FDIA detection method based on secure federated deep learning is proposed in this paper by combining Transformer, federated learning and Paillier cryptosystem. The Transformer, as a detector deployed in edge nodes, delves deep into the connection between individual electrical quantities by using its multi-head self-attention mechanism. By using federated learning framework, our approach utilizes the data from all nodes to collaboratively train a detection model while preserving data privacy by keeping the data locally during training. To improve the security of federated learning, a secure federated learning scheme is designed by combing Paillier cryptosystem with federated learning. Through extensive experiments on the IEEE 14-bus and 118-bus test systems, the effectiveness and superiority of the proposed method are verified. Copyright © 2022, The Authors. All rights reserved.

关键词： Smart power grids

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Coordination of Electricity and Heat Dispatch Strategy Combining Carbon Trading and Peak Shaving Compensation Mechanism

Coordination of Electricity and Heat Dispatch Strategy Combi...

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2020 International Conference on Electronic, Electrical and Computer Applications, ICEECA 2020

作者： Ge, Weichun Li, Zhao Zhao, Dong Li, Zhenyu Ye, Qing Fu, Yu Yu, Na State Grid Liaoning Province Electric Power Company Limited Shenyang110006 China Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China Fuxin Power Supply Company of Liaoning Electric Power Co. Ltd Liaoning Fuxin123000 China

Integrated power generation group's participation in the carbon trading market and peaking auxiliary service market is one of the effective ways to promote low carbon power development and wind power consumption. Aiming at the serious problem of wind abandonment during the low temperature period of winter heating period in Northeast China, a multi-market mechanism is proposed. The carbon trading is analysed. Firstly, and the regional peak demand optimization model based on multi-scenario stochastic programming and the maximum wind power acceptance power calculation model of regional power grid is constructed to calculate the peak shaving demand and existing peak shaving in each period of the regional power grid. Maximum wind power acceptance under resources;Based on the coordination of carbon quotas among power generation groups and the subsection compensation mechanism of compensated peak shaving costs, and aiming at the minimum sum of total coal consumption costs, wind abandonment penalties and compensation costs, integrated dispatching model considering carbon trading and peak shaving compensation is established. Finally, an example is given to verify the rationality and effectiveness of the proposed strategy. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Wind power

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Short-Term Load Forecasting of Smart Grid Based on Load Spatial-Temporal Distribution

Short-Term Load Forecasting of Smart Grid Based on Load Spat...

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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Yan, Gangui Han, Tianyi Zhang, Wei Zhao, Shujian Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Ji Lin China

ISBN: (纸本)9781728135205

Various incentives in the smart grid, which force power consumer to take respond demand and change the characteristics of load, will affect power load forecasting. In this paper, it is concluded that the load spatial-temporal distribution and the load are relevant in the smart grid, and the impact of load spatial-temporal distribution is considered in forecasting model. It sifted multivariate load series highly relevant to prediction point with correlation analysis, and modeled the load series from the viewpoint of time with long short-term memory (LSTM). By comparing with the artificial neural network and support vector machine, it is verified that the model proposed has higher accuracy. © 2019 IEEE.

关键词： Long short-term memory

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Frequency support scheme based on parametrized power curve for de-loaded wind turbine under various wind speed

arXiv

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arXiv 2021年

作者： Zhong, Cheng Lv, Yueming Li, Huayi Chen, JiKai Li, Yang Key Laboratory of Modern Power System Simulation and Control Renewable Energy Technology （Ministry of Education） Northeast Electric Power University Jilin132012 China Department of Electronic Electrical and Systems Engineering University of Birmingham BirminghamB15 2TT United Kingdom

With increased wind power penetration in modern power systems, wind plants are required to provide frequency support similar to conventional plants. However, for the existing frequency regulation scheme of wind turbines, the control gains in the auxiliary frequency controller are difficult to set because of the compromise of the frequency regulation performance and the stable operation of wind turbines, especially when the wind speed remains variable. This paper proposes a novel frequency regulation scheme (FRS) for de-loaded wind turbines. Instead of an auxiliary frequency controller, frequency support is provided by modifying the parametrized power versus rotor speed (Pw-ωr) curve, including the inertia power versus rotor speed curve and the droop power versus rotor speed curve. The advantage of the proposed scheme is that it does not contain any control gains and generally adapts to different wind speeds. Further, the proposed scheme can work for the whole section of wind speed without wind speed measurement information. The compared simulation results demonstrate the scheme improves the system frequency response while ensuring the stable operation of doubly-fed induction generators (DFIGs)-based variable-speed wind turbines (VSWTs) under various wind conditions. Furthermore, the scheme prevents rotor speed overdeceleration even when the wind speed decreases during frequency regulation control. Copyright © 2021, The Authors. All rights reserved.

关键词： Wind

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A novel frequency regulation control strategy based on the external characteristics of PV generation 8

A novel frequency regulation control strategy based on the e...

引用

8th renewable power Generation Conference, RPG 2019

作者： Yan, Gangui Wang, Dan Jia, Qi Hu, Wenbo Zhou, Guoqing Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China

ISBN: (纸本)9781839531255

Large-scale grid-connected PV generation results in the power system facing with the problem of reduced inertia and inadequate frequency regulation capability, which is urgent for PV generation to take participate in frequency regulation. In this paper, the research object is the double-stage PV generation, a novel frequency regulation control strategy based on the external characteristics of PV generation is proposed. f-UPV compensation is introduced into DC low-voltage control loop, which makes the DC low-voltage vary with the grid frequency, thus controlling the output power of PV generation. The influence mechanism of the control strategy on the frequency dynamic process of power system is also analysed based on the frequency response model (SFR). The results show that: the larger the ΔUPV generated by the f-UPV compensation unit, the more power of PV generation can be generated;the control strategy essentially affects the damping coefficient of the system, which not only affects the transient process of the system frequency, but also the steady-state frequency deviation. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Frequency response

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power grid frequency regulation participated by photovoltaic generation to adapt to different control modes of grid-side AGC 8

Power grid frequency regulation participated by photovoltaic...

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8th renewable power Generation Conference, RPG 2019

作者： Yan, Gangui Hu, Wenbo Jia, Qi Wang, Dan Zhou, Guoqing Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China

ISBN: (纸本)9781839531255

Large-scale grid-connection of photovoltaic (PV) generation causes the power system to face the problem of insufficient inertia and insufficient frequency modulation capability. One of the important means to solve this problem is to take part in grid frequency regulation actively. On the basis of spare certain active power, this paper puts forward the active power-frequency droop control strategy. By modifying the original control structure of the inverter, PV generation actively takes part in the grid frequency primary regulation. In order to achieve non-error adjustment of frequency, this paper further proposes a secondary frequency regulation control strategy that adapts to different grid-side AGC control modes (constant frequency control mode, constant tie line power control mode and tie line power frequency deviation control mode). The effectiveness and feasibility of the control strategies are verified based on the PSCAD/EMTDC simulation platform. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Frequency modulation

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Measurement of He2* density with an auxiliary measuring electrode in atmospheric pressure plasma jet

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Plasma Science and technology 2019年第8期21卷 51-56页

作者： Bing QI Chunxu QIN Haikun SHANG Li XIONG Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of EducationNortheast Electric Power UniversityJilin132012People’s Republic of China College of Biomedical Engineering Jilin Medical UniversityJilin132013People’s Republic of China

In this study, the density of metastable He2* in an atmospheric-pressure plasma jet operating in helium with 0.001% nitrogen has been measured using an auxiliary measuring electrode *** the glow discharge mode, waveforms from two grounding electrodes, including one main discharge electrode and one auxiliary electrode, are *** isolated current peak formed by Penning ionization in waveforms from the auxiliary measuring electrode is identified to calculate the density of metastable He2*.In our discharge environment, the helium metastable densities along the jet axis direction are between 2.26×1013 and 1.74×1013 cm-3,which is in good agreement with the results measured by other *** measurement technique can be conveniently applied to the diagnosis of metastable He2* in an atmospheric-pressure plasma jet array.

关键词： atmospheric plasma jet dielectric barrier discharge density of metastable helium

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