检索结果-内蒙古大学图书馆

SSRN 2022年

作者： Deng, Xiangli Wang, Peng Liao, Yuelin Zhao, Jinbin Liu, Shiming School of Electric Engineering Shanghai University of Electric Power Yangpu District Shanghai 200090 China State Grid Wenzhou Power Supply Company Zhejiang Province Wenzhou325000 China Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Ministry of Education Ji’nan Shandong Province 250061 China

The probability of instantaneous grounding fault during overhead line transmission is high, and it is necessary to configure an efficient restart plan to restore the system. The traditional reclosing strategy is easy to cause secondary overcurrent shock when the permanent fault is reclosed. The conventional scheme based on active injection signal for fault identification during the reclosing period only considers single-pole identification and will affect the normal operation of the power grid. Aiming at the above problems, a fault identification method based on half-bridge modular multilevel converter (MMC) injection signal is proposed. The proposed method completes the identification of multiple types of faults during reclosing without affecting the normal operation of the sound pole line by adding a control strategy to the valve controller to cooperate with the dc circuit breaker to actively inject characteristic signals. The method has no special requirements for the topology of the MMC sub-module, improves the detection accuracy of the transition resistance, quickly identifies the fault, and has little impact on the power grid operation. The four-terminal MMC-HVDC simulation model is built on PSCAD/EMTDC, and the simulation results verify the effectiveness of the proposed method. © 2022, The Authors. All rights reserved.

关键词： Poles

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Fault Diagnosis of Wind Turbine Gearbox Based on SSDAE-ELM

Fault Diagnosis of Wind Turbine Gearbox Based on SSDAE-ELM

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第33届中国控制与决策会议

作者： Jianhua Zhang Haibo Dong Rui Shan Guolian Hou Congzhi Huang State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University School of Control and Computer Engineering North China Electric Power University

In recent years,the installed capacity of wind turbine is increasing year by year,and the influence of wind turbine faults on wind farm operation is also *** this paper,a novel fault diagnosis method is proposed to diagnose the fault of wind turbine *** method is based on stacked sparse denoising auto-encoders(SSDAE)neural network which combines stacked sparse auto-encoders(SSAE) neural network and stacked denoising auto-encoders(SDAE) neural network to extract features from high-dimensional signal data *** addition,extreme learning machine(ELM) classifier is used to finish the fault diagnosis according to the features extracted from high-dimensional signal data by the ***,the method is tested based on the simulation experiment,the simulation results demonstrate that the accuracy of this fault diagnosis method is higher than that of other methods when the same parameters are used.

关键词： Wind Turbine Gearbox Deep Learning Stacked Sparse Denoising Auto-encoders Fault Diagnosis

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Modeling and analysis of industrial power load based on measured data 4

Modeling and analysis of industrial power load based on meas...

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2020 4th International Conference on Electrical, Mechanical and Computer Engineering, ICEMCE 2020

作者： Yan, Zhang Huajia, Wang Danwen, Yu Gaofeng, Zhang Weichao, Li State Grid Shandong Electric Power Research Institute Jinan250003 China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan250061 China

With the rapid development of electronic technology, the construction of smart grids has been accelerated. Establishing an accurate load model is of great significance to the stability of distribution network system. Some large-capacity installations with more harmonics and impact, such as electric arc furnaces and wind farm are connected to the grid, which has a serious impact on the power quality of the distribution network. This paper adopts a method of industrial load modeling based on the fitting of measured data, selects electric arc furnace and aluminum rolling mill as typical industrial loads, establishes its model through fitting the measured data, which proves the reliability and accuracy of the load model. © Published under licence by IOP Publishing Ltd.

关键词： Aluminum rolling mills

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Seismic Interpolation Transformer for Consecutively Missing Data: A Case Study in DAS-VSP Data

arXiv

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arXiv 2024年

作者： Cheng, Ming Lin, Jun Dong, Xintong Lu, Shaoping Zhong, Tie College of Instrumentation and Electrical Engineering Jilin University Jilin Changchun130026 China School of Earth Sciences and Engineering Sun Yat-Sen University Guangdong Guangzhou510275 China Guangdong Zhuhai519000 China Guangdong Provincial Key Lab of Geodynamics and Geohazards Sun Yat-sen University Guangdong Guangzhou510275 China Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Jilin132012 China Department of Communication Engineering College of Electric Engineering Northeast Electric Power University Jilin132012 China

Distributed optical fiber acoustic sensing (DAS) is a rapidly-developed seismic acquisition technology with advantages of low cost, high resolution, high sensitivity, and small interval, etc. Nonetheless, consecutively missing cases often appear in real seismic data acquired by DAS system due to some factors, including optical fiber damage and inferior coupling between cable and well. Recently, some deep-learning seismic interpolation methods based on convolutional neural network (CNN) have shown impressive performance in regular and random missing cases but still remain the consecutively missing case as a challenging task. The main reason is that the weight sharing makes it difficult for CNN to capture enough comprehensive features. In this paper, we propose a transformer-based interpolation method, called seismic interpolation transformer (SIT), to deal with the consecutively missing case. This proposed SIT is an encoder-decoder structure connected by some U-shaped swin-transformer blocks. In encoder and decoder part, the multi-head self-attention (MSA) mechanism is used to capture global features which is essential for the reconstruction of consecutively missing traces. The U-shaped swin-transformer blocks are utilized to perform feature extraction operations on feature maps with different resolutions. Moreover, we combine the loss based on structural similarity index (SSIM) and L1 norm to propose a novel loss function for SIT. In experiments, this proposed SIT outperforms U-Net and swin-transformer. Moreover, ablation studies also demonstrate the advantages of new network architecture and loss function. Copyright © 2024, The Authors. All rights reserved.

关键词： Optical fibers

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Improving the Ramp Rate of Thermal power Units Based on Deep Utilization of Coal Powder in Milling systems 32

Improving the Ramp Rate of Thermal Power Units Based on Deep...

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第32届中国控制与决策会议

作者： GAO Yao-kui ZHANG Li-xia SHI Yu-wei HU Yong ZENG De-liang LI Geng-da LIU Miao State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University School of Control and Computer Engineering North China Electric Power University Guodian New Energy Technology Research Institute Co. Ltd

ISBN: (数字)9781728158556

ISBN: (纸本)9781728158563

Improving the ramp rate of thermal power units is an important way to solve the problem of large-scale consumption of new energy in *** deep utilization of the coal powder in the milling system is one of the methods to accelerate the response rate of the boiler,thereby improving the ramp rate of thermal power *** on the analysis of the working principle and characteristics of a milling system,this paper considers the effect of primary air flow on the dynamics of the milling system,improves the simplest model of the milling system,and introduces the improved model into a drum boiler unit *** on the model,a new control strategy is designed based on the deep utilization of the coal powder in the milling *** strategy is based on the predictive control algorithm and combines the traditional feedforward and decoupling control *** importantly,the dynamic compensation of the primary air flow is used to achieve the deep utilization of the coal powder in the milling system,thus rapidly changing the amount of coal powder entering the *** results show that the strategy can better ensure the rapidity and stability of the thermal power unit when the load is changed.

关键词： Thermal power Unit Milling system Ramp Rate Predictive control

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Research on buffer circuit suitable for solid state DC circuit breaker 16

Research on buffer circuit suitable for solid state DC circu...

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16th IET International Conference on AC and DC power Transmission, ACDC 2020

作者： Xie, Wengang Xiao, Fengliang Liu, Bo Zeng, Rong Li, Wei Qu, Lu Song, Zhongjian Shandong Taikai High-Voltage Switchgear Co. Ltd. Tai'an China State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing China

ISBN: (纸本)9781839533914

Buffer circuit is one of the important parts to ensure the safe and reliable fault current breaking of the solid-state DC circuit breaker. Therefore, this paper conducts a research on the buffer circuit suitable for solid-state DC circuit breaker. Firstly, a low-loss solid state DC circuit breaker topology is proposed to meet the fault protection requirements of DC distribution network. Then, the circuit model of the breaking process of solid-state DC circuit breaker is established, and the calculation expression of transient current is deduced. Furthermore, the influence of the buffer circuit parameters on the current breaking characteristic of the solid-state DC circuit breaker is analysed. Finally, the feasibility of the design parameters of buffer circuit is verified by experiments, which lays the foundation for the development of solid-state DC circuit breaker. © 2020 Institution of Engineering and Technology. All rights reserved.

关键词： Electric circuit breakers

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Application Case of Transient Energy Method in Location of Single Phase to Ground Fault

Application Case of Transient Energy Method in Location of S...

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2020 IEEE/IAS Industrial and Commercial power system Asia, I and CPS Asia 2020

作者： Wei, Xie Xuewen, Wang Hengxu, Zhang Fang, Shi Xiaodong, Xing Baicong, Sun Chen, Fang State Grid Shanghai Municipal Electric Power Company Shanghai China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China State Grid Shanghai Electric Power Research Institute Shanghai China

ISBN: (纸本)9781728143033

The distribution networks in China and many other countries are mostly neutral inefficiently grounding systems (NIGS), and more than 80% of the faults in the distribution networks are single phase to ground (SPG) faults. Due to the weak fault current and imperfect detection equipment configuration, the faulted line section location methods of the SPG fault in NIGS has not been effectively resolved. The development and application of \muM-PMU provides more comprehensive fault information support for fault diagnosis of distribution network. When a SPG fault occurs, the transient energy of the faulted line section is greater than the sum of the transient energy of other line sections. A faulted line section location algorithm based on transient energy is proposed. The algorithm is implemented and embedded in the master station, and the corresponding interface is designed. A field test plan was designed and implemented in a 35kV distribution network. The test results show that the algorithm can locate the faulted line section efficiently. © 2020 IEEE.

关键词： Location

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A Hybrid Model for Building-level Day Ahead power Load Forecasting Based on Gated Recurrent Unit Networks

A Hybrid Model for Building-level Day Ahead Power Load Forec...

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Sustainable power and Energy Conference (iSPEC)

作者： Hualu Zhang Boya Deng Jie Shi Key Laboratory of Modern Power System Simulation Control and Green Power New Technology of Ministry of Education Northeast Electric Power University Jilin Jilin Nanjing Nanrui Information Communication Technology Co. Ltd. NARI Group Corporation/State Grid Electric Power Research Institute Nanjing

ISBN: (纸本)9781665414401

Accurate forecasting of day-ahead electrical load is a key to optimize the operation of the integrated energy system (IES) and a fundamental function of the cyber-physical system (CPS) of IES. Due to the characteristics of different features, data collected by CPS often have different sampling frequencies, resulting in mining data trends inadequately when making a load forecast. This paper proposes an GRU-based model to combine historical data with different sampling frequencies in forecasting day-ahead building-level load. First, day-level features are clustered by K-means. Hour-levels features are then partitioned according to clustering results and inputted separately into a gated recurrent unit (GRU) based neural network to capture relationships between external features and load fluctuations. The temporal dependencies of minute-level data are captured by the GRU network directly without any external features. Finally, the least square method is used to combine forecasting results at each hour of two models. The simulation results present that the proposed model performs better than a single model when applying to real-world data.

关键词： Load forecasting simulation Neural networks Training data Predictive models Logic gates Data models

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Ultrathin microcrystalline hydrogenated Si/Ge alloyed tandem solar cells towards full solar spectrum conversion

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Frontiers of Chemical Science and Engineering 2020年第6期14卷 997-1005页

作者： Yu Cao Xinyun Zhu Xingyu Tong Jing Zhou Jian Ni Jianjun Zhang Jinbo Pang Key Laboratory of Modem Power System Simulation and Control&Renewable Energy Technology Northeast Electric Power UniversityJilin 132012China School of Electrical Engineering Northeast Electric Power UniversityJilin 132012China School of Chemical Engineering Northeast Electric Power UniversityJilin 132012China Key Laboratory of Photo-electronics Thin Film Devices and Technique of Tianjin Institute of Photo-electronic Thin Film Devices and TechnologyCollege of Electronic Information and Optical EngineeringNankai UniversityTianjin 300350China Collaborative Innovation Center of Technology and Equipment for Biological Diagnosis and Therapy in Universities of Shandong Institute for Advanced Interdisciplinary Research(iAIR)University of JinanJinan 250022China

Thin film solar cells have been proved the next generation photovoltaic devices due to their low cost,less material consumption and easy mass *** them,micro-crystalline Si and Ge based thin film solar cells have advantages of high efficiency and ultrathin absorber *** individual junction devices are limited in photoelectric conversion efficiency because of the restricted solar spectrum range for its specific *** this work,w e designed a nd simulated a multi-junction solar cell with its four sub-cells selectively absorbing the full solar spectrum including the ultraviolet,green,red as well as near infrared range,respectively.B y tuning the G e content,the record efficiency of 24.80%has been realized with the typical quadruple junction structure of a-Si:H/a-Si0.9Ge0.1:H/μc-Si:H/μc-Si0.5Ge0.5:*** further reduce the material cost,thickness dependent device performances have been *** can be found that the design of total thickness of 4μm is the optimal device design in balancing the thickness a nd the *** the design of ultrathin quadruple junction device with total thickness of 2μm is the optimized device design regarding cost and long-term stability with a little bit more reduction in *** results indicated that our solar cells combine the advantages of low cost and high *** work may provide a general guidance rule of utilizing the full solar spectrum for developing high efficiency and ultrathin multi-junction solar cells.

关键词： thin films solar cells quadruple junction solar cell amorphous silicon silicon germanium alloy quantum efficiency

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Effects of Ca Dopants on the Stability of Zno Varistors

SSRN

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SSRN 2022年

作者： Sun, Guanyue Zhao, Hongfeng Meng, Xiaoji Wang, Feng Dezhou University Shandong254300 China The Wind Solar Storage Division of State Key Laboratory of Control and Simulation of Power System and Generation Equipment School of Electrical Engineering Xinjiang University Urumqi830046 China Xidian Surge Arrester Co. Ltd. Shanxi Xi’an710200 China

This paper studies the aging characteristics of Ca-doped ZnO varistors when the accelerated AC aging chargeability is 0.9 (135°C/ 1000h). Ca-doped ZnO varistors not only there are good breakdown voltage and low leakage current, according to the current-voltage and capacitance-voltage characteristic curves of ZnO varistor before and after aging. After the aging, the breakdown voltage and leakage current change rate are small. The ZnO varistor doped with Ca can slow down the aging speed to a certain extent and has good stability under the AC electric field. © 2022, The Authors. All rights reserved.

关键词： Electric breakdown

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