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Energy Engineering and power Systems (EEPS), International Conference on

作者： Lei Gao Yi Su Yufeng Lu Yarong Wei Wei Huang Yanjun Peng Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Electric Power Research Institute of Guangxi Power Grid Co. Ltd. Nanning Guangxi China

ISBN: (数字)9798350375138

ISBN: (纸本)9798350375145

In 220kV high voltage circuit breakers, the failure of the stability circuit motor will have a serious impact on the system. Therefore, based on motor bearing vibration signal, an intelligent fault diagnosis method based on wavelet packet and PSO-BP neural network is proposed. The method extracts the frequency band energy characteristics of platform motor bearing by wavelet packet transform as the basis of fault diagnosis, and optimizes BP neural network by PSO algorithm to improve the efficiency of fault pattern recognition. Finally, the simulation example verifies that it has certain universality and effectiveness.

关键词： Fault diagnosis Vibrations Training Circuit breakers Neural networks High-voltage techniques Motors Feature extraction Wavelet packets Circuit faults

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Near Infrared Spectral Feature Selection via Symbiotic Organisms Search for Non-destructive DP Assessment of Insulating Paper

Near Infrared Spectral Feature Selection via Symbiotic Organ...

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Energy, Electrical and power Engineering (CEEPE), International Conference on

作者： Xinran Qin Lei Zhang Liangyuan Chen Rui Li Yuan Ma Guangxi Key Laboratory of Intelligent Control and Operation and Maintenance of Power Equipment Electric Power Research Institute of Guangxi Power Grid Co. Ltd. Guangxi China

ISBN: (数字)9798350375794

ISBN: (纸本)9798350375800

In recent years, near infrared (NIR) spectroscopy has been utilized to evaluate the aging condition of insulating paper. The NIR spectrum of insulating paper typically consists of hundreds of spectral features, however, only a few of features are correlated with the aging of insulating paper, and most of them are irrelevant or redundant. Selection of these aging-related features helps to achieve higher accuracy of insulation paper aging assessment using near-infrared spectroscopy. In this study, a feature selection strategy based on symbiotic organisms search (SOS) is proposed for spectral feature selection. A sample database with four different types of paper samples is established via an accelerated thermal aging experiment, and the NIR spectra are collected by using a portable near infrared spectrometer. The SOS algorithm is introduced and employed in the feature selection process proposed in this study. The influence of the threshold on the feature selection is discussed, and most of the selected features are distributed in the first overtone and combination band. The differences between the SOS and other meta-inspired stochastic methods are compared in terms of the optimal solution, the optimal number of features, and the computation time. The results show that the SOS algorithm is more time consuming but its converged optimal solution has the lowest fitness value.

关键词： Symbiosis Vibrations Training power engineering Accuracy Stochastic processes Aging

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intelligent Diagnosis Research of Motor Drive Systems Based on Neural Networks

Intelligent Diagnosis Research of Motor Drive Systems Based ...

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Energy Engineering and power Systems (EEPS), International Conference on

作者： Yi Su Lei Gao Yufeng Lu Baofeng Li Wei Huang Xiajin Rao Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Electric Power Research Institute of Guangxi Power Grid Co. Ltd. Nanning Guangxi China

ISBN: (数字)9798350375138

ISBN: (纸本)9798350375145

Servo motors, with their strong load capacity, reliable operation, and high efficiency, are widely used in electrical production and daily life. As one of the main power sources in modern industry, a motor failure can paralyze operating mechanisms and even threaten life safety. Therefore, this paper conducts intelligent diagnosis research on motor drive systems based on neural networks. Firstly, finite element method simulation is used to obtain fault data of the servo motor and collect sufficient samples. Secondly, addressing the slow convergence speed caused by the deepening of traditional convolutional neural networks (CNN), this paper combines residual learning with convolutional neural networks, proposing a residual learning-based convolutional neural network with Wide Kernel (R-WDCNN) model for fault classification. Finally, compared with traditional convolutional neural networks, the R-WDCNN algorithm achieves higher recognition accuracy and faster convergence speed.

关键词： Fault diagnosis Motor drives Accuracy Neural networks Data models power system reliability Finite element analysis Convolutional neural networks Servomotors Convergence

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Design of Wireless Monitoring Node for power Transformers Based on BLE 3

Design of Wireless Monitoring Node for Power Transformers Ba...

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3rd International Conference on Electrical Engineering and Mechatronics Technology, ICEEMT 2023

作者： Chen, Liangyuan Li, Dajian Zhou, Ke Zhao, Jian Electric Power Research Institute of Guangxi Power Grid Corporation Co. Ltd. Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Guangxi Zhuang Autonomous Region Nanning530023 China Guangxi Power Grid Corporation Co. Ltd. Guangxi Zhuang Autonomous Region Nanning530023 China Electric Power Research Institute of Guangxi Power Grid Corporation Co. Ltd. Guangxi Zhuang Autonomous Region Nanning530023 China

ISBN: (纸本)9798350303698

To address the issues of high data cost, large power consumption, and slow communication rate associated with the traditional wireless monitoring nodes for power transformers, this paper proposes a novel BLE (Bluetooth Low Energy) based wireless monitoring node for power transformers. BLE can meet both the high communication rate and low-power requirements for the monitoring node. Besides, the temperature sensing circuit is designed and circuit simulations are conducted to determine the proper parameters of each component in the circuit. In order to reduce the power consumption of monitoring node, an external low-power wake-up circuit is designed. Then, the working stages of the monitoring node and corresponding power consumptions are analyzed to determine the appropriate sleep time. Finally, the hardware of the proposed low-power wireless monitoring node is implemented and tested for power consumptions under different working states. The test results indicate that the monitoring node exhibits commendable attributes, including compact size, low power consumption, and remarkable efficiency, providing an effective monitoring method for transformer. © 2023 IEEE.

关键词： Electric power utilization

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Optimal dispatching Considering the Participation of Flexible Resources on the Load Side in Deep Peak Regulation Market

Optimal Dispatching Considering the Participation of Flexibl...

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

作者： Yue Zhao Kai Dong Lianfu Chen Tong Cheng Qiuna Cai Qiaoyu Zhang Dispatching department Electric Power Dispatching Control Center of Guangdong Power Grid Co. Ltd Guangzhou China Dept. of Electrical Engineering State Key Laboratory of Power Systems Tsinghua University Beijing China

With the construction of new power system in China, the shortage of peak regulation resources in China's power system and the serious dilemma of abandoning wind and solar energy have become increasingly severe. It is urgent to fully mobilize the peak regulation potential of flexible resources on the load side. In view of the situation that traditional thermal power units and flexible resources on the load side participate in the market together, the day-ahead market mechanism and optimal dispatching model considering deep peak regulation are proposed. On the basis of considering the load characteristics of virtual power plant (VPP), the market mechanism based on deep peak regulation quotation is designed. It provides a mechanism basis for flexible resources on the load side to participate in the power market and provide flexible regulation services for the power grid. And the participation of VPP has effectively reduced the market cost of deep peak regulation market. The effectiveness and applicability of the model are proved by analyzing the cases of IEEE-30 bus system and IEEE-118 bus system.

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Analysis on the Fire Accident of the Turf Substation Caused by the Transfer of Potential in the Substation 2

Analysis on the Fire Accident of the Turf Substation Caused ...

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2nd International Conference on Mechanical, Electronics, and Electrical and Automation control, METMS 2022

作者： Su, Yi Li, Qian Xia, Xiaofei Electric Power Research Institute Guangxi Power Grid Corporation Nanning530023 China Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Electric Power Research Institute of Guangxi Power Grid Co. Ltd. GuangXi Nanning530023 China Electric Power Research Institute Guangdong Power Grid Corporation Guangzhou510080 China

ISBN: (数字)9781510654785

ISBN: (纸本)9781510654778

The fault current through ground grid would cause maldistribution of ground potential rise, with the harm of transfer potential between the substation and outside concerned about more than Substation Interior Transfer Potential. Taking the two events of lawn fire in 220kV Enping Substation for example, by calculating the transient ground potential rise distribution inner the substation during 110kV Entian Line single phase ground fault outside the substation, we point out the substation interior transfer potential would form a high transient potential difference, there brings a high risk of spark discharge if the conductors are close enough. The solution against substation interior transfer potential is given based on insulation, such as the better management of low-voltage lines and keeping enough distance between the lawn and ground conductor, the full-metal outgoing line frame also in favor of the ground potential difference improvement. © 2022 SPIE

关键词： Electric grounding

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Distributed Optimization for Evs Integrated power System Considering Flexible Ramping Requirement

SSRN

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SSRN 2024年

作者： Chen, Wenzhe Sun, Haishun Peng, Chaoyi Zhou, Huafeng Xu, Suyue State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan China China Southern Power Grid Dispatching & Control Center Guangzhou China

More flexible ramping service is required due to the increase of renewable power generation in power systems. Electric vehicles (EVs) could provide such flexible ramping products (FRPs) at low cost while participating in the electricity market through aggregation. However, EVs’ dispatching capability cannot be fully utilized without the right incentives. This paper addresses a distributed optimal model developed between EV aggregators (EVAs) and the independent system operator (ISO). To make such concept, a cloud-edge collaborated market structure is adopted. At the edge level, EVAs assess the dispatching capability and solve the market bidding subproblem. At the cloud level, ISO solves the market clearing subproblem considering system’ economy and security. The overall problem is solved by the analytical target cascading (ATC) method. Heuristic constraints are also introduced into the model to improve convergence performance. The model is tested on a modified IEEE 30-bus system. Results demonstrate that the proposed method can incentivize EVAs with different owners to shift load and provide FRPs accurately, meanwhile reducing the cost and increasing the consumption of renewable energy effectively. © 2024, The Authors. All rights reserved.

关键词： Optimization

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Simulation Study on Safe Distance between Crane Boom and High-Voltage Line Based on Electric Field Intensity 2

Simulation Study on Safe Distance between Crane Boom and Hig...

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2022 2nd International Symposium on Artificial Intelligence and intelligent Manufacturing, AIIM 2022

作者： Luo, Xi Yin, Mengqi Xu, Ce Tang, Guanrong Second Substn. Mgmt. Station of Guangzhou Power Supply Bureau of China Southern Power Grid Co. Ltd Guangzhou510620 China Institute of Intelligent Manufacturing Guangdong Academy of Sciences Guangdong Key Laboratory of Modern Control Technology Guangzhou510070 China

Aiming at the safety accident caused by the close distance between the crane arm and the high-voltage line when the crane is working near the high-voltage transmission line, this paper proposes a simulation model of the electric field intensity distribution of the high-voltage transmission line. First, through the simplification and equivalent treatment of the high-voltage line, the simulation modeling, and analysis of the electric field around the high-voltage line are carried out. Then, the theory of solving the electric field intensity of any point around the high-voltage line based on the charge simulation method is deduced, and the conclusion that the electric field intensity at the equal distance of the high-voltage line is approximately equal is obtained. Furthermore, the influence of the crane on the electric field strength of a high-voltage line is analyzed, and the linear correction function of electric field strength is obtained. Based on the research in this paper, the field strength sensor can be used to obtain the value of the electric field strength, calculate the distance between the crane and the high-voltage line, and make a safety warning response. The simulation results verify the feasibility and effectiveness of the proposed model and method. © Published under licence by IOP Publishing Ltd.

关键词： Electric power transmission

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A Missing Data Imputation Method for Electricity Consumption Data Based on TCN-Attention with Mask Tokens

A Missing Data Imputation Method for Electricity Consumption...

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Consumer Electronics and Computer Engineering (ICCECE), 2021 IEEE International Conference on

作者： Yifeng Mao Ming Yang Peng Li Zhujian Ou Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China State Grid Nantong Power Supply Company State Grid Jiangsu Electric Power CO. LTD Nantong China

With the popularization of smart meters, power companies can collect massive amounts of data from users for non-invasive load detection, electricity theft detection, etc. However, due to faults in smart meters and abnormal communication, the dataset often has missing values, making it difficult for data-driven methods to be widely applied. In this paper, we propose an unsupervised learning method based on TCN-Attention to fill in customers' electricity consumption data. Firstly, we extract electricity consumption features through TCN. In order to improve the feature extraction capability, we introduce a channel attention mechanism to TCN. The attention mechanism makes TCN focus on the effective features in the data by assigning weights. Meanwhile, we use mask tokens to cover a certain proportion of data, forcing the proposed model to learn potential feature representations of the data during the training process. Finally, the features are restored to data through feedforward neural networks. An example is given to verify the effectiveness of the proposed method.

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Model Prediction-Based Virtual Synchronous Machine control for Improving Transient Frequency Security and Stability of Wind power Interconnected power Systems 2

Model Prediction-Based Virtual Synchronous Machine Control f...

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2nd IEEE International power Electronics and Application Symposium, PEAS 2023

作者： Zhang, Peng Yang, Ping Lin, Xu Liu, Zejian Chen, Junsheng South China University of Technology Guangdong Key Laboratory of Clean Energy Technology Guangzhou China Guangdong Power Grid Co. Ltd Power Dispatching and Control Center Guangzhou China Shenzhen Huagong Energy Technology Co. Ltd Shenzhen China Southern Offshore Wind Joint Development Co. Ltd Zhuhai China

ISBN: (纸本)9798350313765

In the existing transient stability control of wind power interconnected power systems, the challenges are as follows. On the one side, Energy storage devices increase costs. On the other side, the primary frequency regulation does not consider the stability of the unit itself. Therefore, a VSG control strategy based on model prediction is proposed to improve the frequency safety and stability of transient processes in wind power interconnected power systems. Firstly, the VSG control method for frequency safety and stability improvement control is introduced, and then the Model predictive control theory is introduced. Secondly, model the interconnected wind power system. Next, design a transient frequency safety and stability improvement control strategy. Finally, based on the improved IEEE 3-machine 9-node system and the improved IEEE 10-machine 39 node system, the effectiveness and advantages of the control strategy proposed in this paper were verified. © 2023 IEEE.

关键词： frequency stability model predictive control transient process virtual synchronous machine control wind power

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