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2017 IEEE Conference on Energy Internet and Energy system Integration, EI2 2017

作者： Teng, Jun Zhan, Xin Xie, Liwei Zeng, Xiangjun Liu, Yixuan Huang, Long Yangzhou Power Supply Company State Grid Jiangsu Electric Power Corporation Yangzhou Jiangsu Province China Hunan Province Higher Education Key Laboratory of Power System Safety Operation and Control Changsha University of Science and Technology Changsha Hunan Province410004 China

ISBN: (纸本)9781538614273

To solve effects of time synchronization problems in double-ended traveling wave location method and achieve exact identification of reflected wave crests in single-ended traveling wave location method, a novel location method is proposed in this paper. A preliminary fault location and approximate values of fault distance are calculated by double-ended principle firstly. Then fault point reflected waves' arrival time at both sides are calculated via using approximate values. Compared with theoretical time, a time error matrix is built and the value which is closest to zero is identified as the actual arrival time of fault point reflected wave. Finally, accurate location is accomplished based on the single-ended traveling wave principle. EMTP-ATP simulation results show that the proposed fault location method is feasible in hybrid lines and fault location accuracy is improved obviously. © 2017 IEEE.

关键词： Location

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Reasch on IED configurator automatic modeling based on IEC 61850

Reasch on IED configurator automatic modeling based on IEC 6...

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2017 IEEE Conference on Energy Internet and Energy system Integration, EI2 2017

作者： Shen, Baiqiang Yuan, Yongjun Xie, Liwei Zeng, Xiangjun Liu, Yixuan Luo, Hui Hangzhou Power Supply Company State Grid Zhejiang Electric Power Corporation Hangzhou Zhejiang Province China Hunan Province Higher Education Key Laboratory of Power System Safety Operation and Control Changsha University of Science and Technology Changsha Hunan Province410004 China Longyan Electric Power Supply Company State Grid Fujian Electric Power Company Longyan Fujian Province364000 China

ISBN: (纸本)9781538614273

Data modeling based on IEC 61850 standards is the basis for the realization of intelligent substation automation. Traditional manual modeling methods need spending lots of time, and some current intelligent electronic device (IED) configurators are not suitable for applications. To improve IEDs' data modeling methods and IED configurators' modeling methods, an IED configurator automatic modeling method is designed in this paper. Based on object-oriented modeling technology of IEC61850, decompositions and combinations of IED logical nodes, constructions of IED modeling files and configuration processes are analyzed in details. Designing methods of IED configurators' functions and modules are summarized. The application of the IED configurator automatic modeling method in HZP511 line protection monitoring and control device is demonstrated. Results: show that both of modeling workload and probability of error in modeling are greatly reduced compared with artificial modeling methods. © 2017 IEEE.

关键词： Automation

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Classification of Multiple power Quality Disturbances Based on Continuous Wavelet Transform and Lightweight Convolutional Neural Network

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SSRN 2022年

作者： Xi, Yanhui Li, Xule Tang, Xin Li, Zewen Shen, Yin Zeng, Xiangjun Hunan Province Higher Education Key Laboratory of Power System Safety Operation and Control Changsha University of Science and Technology Hunan Province Changsha410114 China

Aiming at the problems of noise interference and too many network parameters for PQDs’ (power quality disturbances) classification based on deep learning, the lightweight convolutional neural network combining maximum likelihood Kalman filter and continuous wavelet transform is proposed. In this proposed method, the disturbed PQD signals are denoised by maximum likelihood Kalman filter, and then the denoised PQDs are converted to time-frequency diagrams, which can provide rich time and frequency domain information, and finally the lightweight convolution neural network is used for automatically extracting and classifying multiple PQDs. To verify the effectiveness and superiority of the proposed method, 20 types of PQDs are tested under different noise levels, and experiment results show that the average classification accuracy reaches more than 99%. Compared with the existing classification methods, the accuracy and noise immunity ability are improved. © 2022, The Authors. All rights reserved.

关键词： Kalman filters

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power Quality Disturbances Classification with Imbalanced/Insufficient Samples Based on Wgan-Gp-Sa and Dcnn

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SSRN 2024年

作者： Xi, Yanhui Li, Xule Zhou, Feng Hunan Province Higher Education Key Laboratory of Power System Safety Operation and Control Changsha University of Science and Technology Hunan Province Changsha410114 China School of Electronic Information and Electrical Engineering Changsha University Hunan Province Changsha410022 China

The accurate identification of power quality disturbance signals (PQDs) is of great importance to ensure the safe and stable operation of power systems. Considering that there are insufficient samples and imbalance samples of power quality disturbance signals in real systems, the hybrid classification method based on WGAN-GP-SA (Wasserstein generative adversarial networks with gradient penalty and Squeeze-and-Excitation block with atrous spatial pyramid pooling module) and DCNN (deep convolutional neural network) is proposed for recognition of PQDs. Firstly, time-frequency features are extracted by combining improved Kalman and continuous wavelet transforms (CWT);secondly, the original training time-frequency maps are expanded by using WGAN-GP-SA, which can learn the distribution of real data and generate similar samples, and PSNR, SSIM, FID and other indexes are introduced for evaluation of generated data;finally, classification experiments are conducted on two data sets using DCNN, and simulation results show that the accuracy is improved by 2.82% compared with the original data without augmentation. Furthermore, t-distributed stochastic neighbor embedding algorithm (t-SNE) is introduced for visually analysing of classification performance of various datasets, and the visualization indicates the superiority of the hybrid classification method. © 2024, The Authors. All rights reserved.

关键词： Generative adversarial networks

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A novel location method for distribution hybrid lines

A novel location method for distribution hybrid lines

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

作者： Jun Teng Xin Zhan Liwei Xie Xiangjun Zeng Yixuan Liu Long Huang Yangzhou Power Supply Company State Grid Jiangsu Electric Power Corporation Yangzhou Jiangsu Province P. R. China Hunan Province Higher Education Key Laboratory of Power System Safety Operation and Control Changsha University of Science and Technology Changsha Hunan Province China

ISBN: (纸本)9781538614280

关键词： power cables Fault location Impedance Synchronization Hybrid power systems Grounding Capacitance

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Transmission Line Fault Detection and Classification Based on Sa-Mobilenetv3

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SSRN 2022年

作者： Xi, Yanhui Zhang, Weijie Zhou, Feng Tang, Xin Li, Zewen Zeng, Xiangjun Zhang, Pinghua Hunan Province Higher Education Key Laboratory of Power System Safety Operation and Control Changsha University of Science and Technology Hunan Province Changsha410114 China School of Electronic Information and Electrical Engineering Changsha University Hunan Province Changsha410022 China Hunan College of Information Hunan Province Changsha410200 China

Accurate fault detection and classification help to analyze fault causes and quickly restore faulty phases. This paper presents a robust fault classification method based on SA-MobileNetV3 for transmission systems. Considering that the SE (Squeeze-and-Excitation) attention module cannot aggregate the spatial dimension information on the channel, SA (shuffle attention) module is introduced into MobileNetV3, which can effectively fuse the importance of pixels in different channels and in different locations at the same channel. Also, transforming the signals into two dimensional images based on CWT (continuous wavelet transform) makes the proposed method be similar to image recognition, which can mine high level fault features and classify the faults visually. To verify the effectiveness of the method, a 735kV transmission line model is built for data generation through Simulink. Various kinds of fault conditions and factors are considered to verify the adaptability and generalizability. Simulation results show that the method can quickly and accurately identify 11 types of faults, and the accuracy rate is as high as 99.90%. A comparison between the proposed method and other existing techniques shows the superiority of the proposed SA- MobileNetV3, and better anti-noise performance makes it more suitable for real fault signals taken on-site. © 2022, The Authors. All rights reserved.

关键词： Simulink

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Reasch on IED configurator automatic modeling based on IEC 61850

Reasch on IED configurator automatic modeling based on IEC 6...

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

作者： Baiqiang Shen Yongjun Yuan Liwei Xie Xiangjun Zeng Yixuan Liu Hui Luo Hangzhou Power Supply Company State Grid Zhejiang Electric Power Corporation Hangzhou Zhejiang Province P. R. China Hunan Province Higher Education Key Laboratory of Power System Safety Operation and Control Changsha University of Science and Technology Changsha Hunan Province China Longyan Electric Power Supply Company State Grid Fujian Electric Power Company Longyan Fujian Province China

Data modeling based on IEC 61850 standards is the basis for the realization of intelligent substation automation. Traditional manual modeling methods need spending lots of time, and some current intelligent electronic device (IED) configurators are not suitable for applications. To improve IEDs' data modeling methods and IED configurators' modeling methods, an IED configurator automatic modeling method is designed in this paper. Based on object-oriented modeling technology of IEC61850, decompositions and combinations of IED logical nodes, constructions of IED modeling files and configuration processes are analyzed in details. Designing methods of IED configurators' functions and modules are summarized. The application of the IED configurator automatic modeling method in HZP511 line protection monitoring and control device is demonstrated. Results show that both of modeling workload and probability of error in modeling are greatly reduced compared with artificial modeling methods.

关键词： Object oriented modeling IEC Standards Circuit breakers Data models Tools Logic devices Integrated circuit modeling

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