bluuebunny/crossref_metadata_2025_split huggingface dataset:
Networking Scheme for Power Grid System Based on Emergency Communication Vehicle and Unmanned Aerial Vehicle
Authors: Zhou Z , Li Y H , Chen X H , He T T , Liu C , Yuan F , Zeng X H , He W 
Published: April 2023

Abstract
Emergency communication vehicle and UAV are important equipment for power emergency disposal. Emergency communication vehicle (ECV) can quickly reach the disaster area with weak signal, no signal and no power supply. UAV has the advantages of flexible and repeatable post disaster data transmission. Combining the advantages of both, this paper proposes a network architecture based on ECV-UAV scheme. The experimental results show that the scheme can effectively improve the efficiency of power emergency disposal.
Non Intrusive Power Load Monitoring Method Based on Machine Learning
Authors: Guan ZX , Song CH , Huangfu HC 
Published: April 2023

Abstract
In order to improve the accuracy of non-invasive power load monitoring and shorten the monitoring time, a new non-invasive power load monitoring method based on machine learning is proposed. Firstly, the power load data is collected by sensors and normalized. Secondly, based on the normalized results of power load data, the RBF neural network model in machine learning is used for iterative training to extract power load characteristics. Finally, according to the characteristics of power load, the hidden Markov model is used to transform the non-invasive power load monitoring problem into a decoding problem, and the improved Viterbi algorithm is used to solve the hidden Markov model, and the non-invasive power load monitoring is completed according to the obtained state sequence.
A Scheme for Distribution Automation Terminal Design Based on ESIM
Authors: Wang XZ , Li ZT , Gao JZ 
Published: April 2023

Abstract
To realize the operation monitoring and control of distribution network, improve the reliability of power supply and reduce the intensity of operation and maintenance, a design scheme of distribution automation terminal based on eSIM card is proposed. Based on the analysis of eSIM technology and its characteristics, the basic workflow of eSIM card is provided in combination with the remote configuration requirements of power system. Then the main control function and communication module design of the distribution network system are analyzed and explained in detail, with emphasis on the communication interface circuit and software design. The system also integrates AngularJS and SpringBoot to make the platform have the technical characteristics of separation of front and back stations and strong reliability. At the same time, the dial-up and positioning information are integrated into one module to realize real-time monitoring and control of the remote master station. The experimental analysis results show that the scheme has certain advantages in the reliability of distribution automation terminals and the simplification of operation and maintenance management, which increases the integration and functional diversity of power equipment.
Detail extraction of mechanical component image based on depth learning
Authors: Liu Lan , Qin Ping , Wu Xinqiao 
Published: April 2023

Abstract
Aiming at the problem of feature extraction, recognition and classification of machining features of various mechanical part models, an image detail extraction method based on deep learning architecture is proposed. We use the median filtering method to filter the impulse noise in the image initially. After horizontal tilt correction, the contour image is divided into several fan sub regions. Then, the structural parameters of YOLOV3 network are optimized to make it more suitable for small target classification detection of industrial parts on the basis of fully retaining the feature extraction ability of depth convolution network. The simulation results show that for original YOLOv3 algorithm, the improved network model has good robustness, and the problems of different scales, low feature utilization and occlusion in part detection which are obviously improved. Compared with the traditional methods of feature extraction and classification of mechanical part images, the deep learning strategy also shows greater advantages.
Research on Short-Circuit Impedance Analysis Method of Auto-transformer for Side Column Voltage Regulation
Authors: Zhao ZG , Zhang SQ , Cheng HC , Xu ZY , Tan RJ 
Published: April 2023

Abstract
In order to realize the accurate analysis of the impedance of transformers with complex connection relations, this paper derives the impedance calculation method of low-voltage excitation side column linear voltage regulating autotransformer by using the power method. The transformer network with different taps is analyzed, and the calculation formulas of transformer HV-MV impedance, HV-LV impedance and MV-LV impedance are derived. The analysis is simplified to the solution of concentric column coil impedance and magnetic potential of each coil. By comparing the calculated data of actual products with the measured data, the calculation deviation of this method is controlled within 2.03%; By using the finite element method, the impedance of the transformer with the measures to control the magnetic shielding is analyzed and calculated. By comparing the impedance of the transformer with different measures, it can be confirmed that the magnetic leakage measures have an impact on the impedance of the transformer.
Design of Quadrotor Aircraft Control System Using PID Method
Authors: Tian S , Zhang JW 
Published: April 2023

Abstract
In order to realize the precise control of the dynamic performance of the four rotor aircraft, a PID based controller design method for the four rotor aircraft is proposed in this paper. Firstly, the mathematical model of the four rotor aircraft is established; Then, the control algorithm and parameters are simulated based on PID control method, and the control rules and controller parameters are designed. The simulation results verify the effectiveness of this method.
Research on battery charging automatic equalization system based on double closed loop controller
Authors: Li JL , Qu BZ , Liu XJ , Yuan YL , Peng WJ 
Published: April 2023

Abstract
In order to improve the equalization control efficiency of the battery charge equalization system, this paper applies the double closed-loop controller to the battery charge automatic equalization system. First, the overall block diagram of the hardware circuit of the charging system is designed, and the switching control of charging and discharging is completed by using TMS320F2812 chip. Secondly, the optimal charging current is calculated according to Mars law. Then, a double closed-loop controller is introduced to balance the battery charge, and the charge balance equation is constructed and solved. Finally, the adjusted parameters are obtained to realize the automatic charging equalization control. The experimental results show that the equalization control time of this method is always within 25s, which indicates that its charge equalization control effect is good.
Reliability Analysis of Next Generation Power Communication Network Based on SDN
Authors: An GC , Wang XZ , Wang Q 
Published: April 2023

Abstract
To provide basic support of information communication technology for the construction of the next generation power communication network, the reliability service support mechanism of SDN controller in the power communication network deployment scheme is studied in this paper. We analyze the security protection architecture design of power communication network based on SDN, and establish a mathematical model of controller deployment that conforms to the characteristics of power communication. Then, the inter community reliability analysis and backup method is introduced to solve the controller deployment problem in SDN network by optimizing the power of the controller in the community. In the simulation process, the network virtualization and controller are designed in detail. The experimental results show that the SDN controller placement algorithm based on community clustering ensures the reliable operation of the power grid, and it can effectively reduce the service transmission delay and packet loss rate.
Power Big Data Analysis Platform Design Based on Hadoop
Authors: Zhao Liuqi , Wen Xing , Huang Zhenlin , Wang Ning , Zhang Yuheng 
Published: April 2023

Abstract
To better analyze and process power data to obtain effective information, a power big data analysis scheme based on Hadoop architecture is proposed. We analyze the cloud computing environment Hadoop distributed platform to obtain massive data of large-scale distributed power system. According to the characteristics of intelligent power consumption data, common data mining algorithm modules such as parallel classification algorithm and parallel real-time clustering algorithm are designed, and the implementation of clustering algorithm with different principles is further analyzed. Then, HBase is adopted to access data in a distributed way, and MapReduce is used to realize the visual management of power GIS data. The experimental results show that the parallel processing method of power big data based on Hadoop has high efficiency and good scalability, and the algorithm has good identification ability for massive data in the cluster mode.
Power Visualization System Based on IoT and eSIM Card Technology
Authors: Wang Q , Gong S , Fu YF 
Published: April 2023

Abstract
To improve the quality and efficiency of power system management in power transmission and transformation equipment, a visualization system based on IoT and eSIM card technology is designed. The scheme adopts RFID, network development, .NET technology, MSSQL and related technologies and tools to realize the basic functions of the life-cycle management system of power transmission and transformation equipment. At the same time, the On air card writing of eSIM card is used to directly correct the communication parameter settings of the terminal, and the dialing and positioning information are integrated into a module. The visual component uses the latest Web development technology to design and complete the view editor function. Finally, the visual monitoring and data presentation functions of the equipment are tested based on the scenario design, and the results show that the system can achieve real-time monitoring and centralized management under the IoT environment, and comprehensively improves the intelligent level of the power system.
Design of the Integrated Performance Testing Device for Electromagnetic and Static Relays Based on Single Chip Microcomputer
Authors: Lin LP , Qiu YY , Peng YY 
Published: April 2023

Abstract
In order to improve the action performance of the relay, this paper designs an electromagnetic static relay comprehensive performance testing device based on MCU. First of all, a master-slave design structure is proposed, which is composed of a low-power, high-performance Cortex-M3 core high-speed microcontroller. Then, the one-time test model and control logic suitable for testing coil resistance, action/return voltage, coil action power, action/recovery time, contact resistance and working power consumption of AC and DC relays are emphatically introduced. Finally, through experiment testing in substations and power plants, the intelligence, rapidity and integrity of the device are verified.
Comparative Study on Different Temporary Blocking Schemes of Valve Control in VSC-HVDC System
Authors: Ai Liang , Bai Leicheng , Du Ke , Liu Xun , Dai Di , Wang Di , Yu Shanshan 
Published: April 2023

Abstract
To improve the fault ride-through capability of the VSC-HVDC system and ensure the safe operation of the equipment, it is necessary to design the temporary blocking scheme of the converter valve of VSC-HVDC. Taking the Chongqing Hubei Back to Back VSC-HVDC Project as the research object, this paper first analyzes the fault types of the VSC-HVDC system, obtains the fault types of the AC fault ride-through; and then, according to the requirements of system fault ride-through, three-valve controlled temporary blocking schemes are designed: global blocking, phase splitting blocking and bridge arm separated blocking. Finally, based on the RTDS real-time simulation platform, the actual valve control and control protection systems are connected. Comparative simulation tests are carried out to verify the three temporary blocking schemes. The simulation results show that the bridge arm separated blocking can ensure the fault-passing ability of the converter valve and has good electrical characteristics. In practical projects, the bridge arm separated blocking scheme is recommended for valve-controlled bridge arm overcurrent protection.
Research on cloud-edge AC Power Monitoring Systems based on MODBUS
Authors: Mu Xiangcheng , Du Yuyuan , Wang Hui 
Published: April 2023

Abstract
With the development of the Internet of Things and automation technology in the industry, the types of equipment in the industrial field are increasing, and the data parameters of the industrial process are gradually becoming complex. It puts forward higher requirements for the system perception layer’s real-time performance, reliability, and maintainability. The original data acquisition architecture is not easy to ensure the reliable transmission and real-time processing of massive industrial data. In order to solve these problems, this paper designs an AC Power Monitoring System. It proposes a cloud edge computing framework based on MODBUS: First, the data is collected and sent to the edge server by MODBUS through the RS485 bus. Second, combined with the advantages of the powerful service capability of cloud computing resources and the low transmission delay of edge computing, the edge side and cloud side will work together. Finally, the functions of data reading, uploading and sending, correction, configuration, and fault alarm are realized. The field operation shows that using a cloud edge computing framework can reduce the processing pressure of cloud computing, reduce network latency and lower requirements for network bandwidth and make the system efficient and safe for collecting and analyzing big data. The cooperation of MODBUS protocol enhances the reliability and practicability of communication. The cloud edge computing system based on MODBUS is easy to design and maintain and is suitable for many monitoring systems, which have high promotion value.
Research on portable constant pulse current source device
Authors: Li Hongda , Dong Bowen 
Published: April 2023

Abstract
A set of portable constant pulse current sources with STM32 as the control core is developed, which mainly involves the SCM control module, operational amplifier circuit module, pulse output module, power module, key module, and display module. Based on the traditional constant-current source circuit design, the real-time display control system is constructed by software programming optimization, which has the characteristics of portable and strong stability. By connecting the field effect tube and operational amplifier in series to form a feedback loop, the current output accuracy is improved and the stability of the current output is ensured. The experimental results show that after the op-amp circuit is introduced into the series feedback system, the front and rear order circuit can be more stable, and ensure the reference voltage is stable at the same time, through the duty cycle of PWM wave to adjust the current output, so that the constant current source output 0~2mA adjustable low-frequency stable current. At the same time, in terms of human-computer interaction, in addition to the use of buttons to adjust the current at both ends of the load, a small OLED display screen is used to display the current, voltage, and pulse frequency in real time. The experiment shows that the instrument has high stability and load adaptability, and has high practical value.
Improved Design of Feedback Matrix of Adaptive Observer for Induction Motor
Authors: Huang Shanshan , Deng Xin , Xing Pengkun , Su Chongjun 
Published: April 2023

Abstract
In order to address the issue of the induction motor speed sensorless vector control system’s poor dynamic performance at low speed, this research suggests a brand-new feedback matrix algorithm for the full-order adaptive observer. Firstly, the open-loop transfer function based on the back-EMF error is analyzed, the stability conditions of the induction motor operation are deduced, and a preliminary framework is established for designing the feedback gain. Secondly, in order to maximize the system’s dynamic performance, the damping ratio of the speed identification system is chosen as the subject of study. To achieve this, the pole of the second-order characteristic equation of the observer’s complex number system is set up to satisfy the premise of stable operation at low speed and inverted state. The outcomes of the simulations confirm the method’s efficacy.
New Technology of Three-phase Unbalanced Overvoltage Suppression and Voltage Arc Suppression Based on Distribution Network
Authors: Zhou Duyao , Li Shilong , Su Xueneng , Sun Shihang , Liu Xiaohan , Zeng Xiangjun 
Published: April 2023

Abstract
Given that the existing passive arc suppression technology of the distribution network cannot eliminate three-phase unbalanced overvoltage and the difficulties in dynamic measurement and hardware implementation of active current arc suppression equipment based on power electronics, a new technology of unbalanced overvoltage suppression and voltage arc suppression based on flexible control of distribution network zero sequence voltage is proposed. During normal operation, we inject current to eliminate three-phase unbalanced overvoltage; in case of a grounding fault, the system neutral point voltage shall be actively regulated, the fault phase voltage shall be reduced, the arcing conditions shall be destroyed, and the fault arcing shall be fundamentally realized. The 10 kV distribution network model is built in PSCAD/EMTDC simulation environment to verify the new technology of unbalanced overvoltage suppression and voltage arc suppression of zero sequence voltage flexible control. The simulation results show that the new technology can effectively suppress three-phase unbalanced over-voltage, reduce fault phase voltage, and realize reliable arc suppression of grounding faults.
Research on Wide-band Domain Current Sensing for Bushing End Screen Based on TMR
Authors: Hao Yu , Wenzhi Chang , Yanpeng Gong , Shuai Yuan 
Published: April 2023

Abstract
The transformer bushing is an important monitoring object of the substation online monitoring system. The end screen current of the transformer bushing is one of the important parameters to characterize the insulation state of the bushing, by collecting the full current of power frequency and partial discharge pulse current of the high-frequency domain. Based on the TMR array sensing principle, this paper studies the wide-band domain current sensing technology for the transformer bushing end screen current monitoring, and integrates it with the ground terminal of the bushing end screen to realize the sensing of the power frequency current and the high-frequency current of the bushing end screen. The detection bandwidth covers 50 Hz to 30 MHz. Power frequency current detection accuracy reaches 1%.
The topology-based approach to leakage current suppression on transformerless photovoltaic inverters
Authors: Su Li 
Published: April 2023

Abstract
With the increase in demand for renewable energy, photovoltaic power generation is gradually becoming the most promising new energy source. However, the electrical connection of PV cells to the grid, and parasitic capacitance between the PV cell and the ground can introduce severe leakage currents into the grid. The scientific community has developed various topology-based techniques to suppress leakage currents. This paper is dedicated to a review of these techniques. Firstly the H5, HERIC, FB-DCBP, oH5, H8, and H6 are analyzed. These techniques are then reviewed more fully in terms of quality, efficiency, size, and complexity. All six of these topologies can meet the requirements for leakage current suppression, and there is an increasing trend toward reducing the size and simplifying topologies. Finally, future trends in topology-based techniques for suppressing leakage currents are predicted. The significance of this paper is that it provides a comprehensive review and summary of the various topology-based techniques for suppressing leakage currents.
Research On Adaptive Sliding Mode Control of PMSM Based On Novel Reaching Law
Authors: Wang Yuxing , Liu Huibo 
Published: April 2023

Abstract
Based on the jitter and slow convergence speed caused by the conventional approach law SMC, a new exponential approach rate is proposed to optimize dynamic characteristics of the PMSM control system. The approach law is based on the conventional exponential adience law, and the variable of state the system are added. It can ceaseless adapt to the changes of the controlled system, ensure the high tracking function of the system and reduce the jitter caused by the control input. Meanwhile, based on the new exponential approach law, an self-adaption SMC is designed to estimate the uncertain parameters of the control process, and the stability of the make better approach law and control algorithm is analyzed by the function. Finally, The designed controller is compared with traditional sliding mode control and PI control through simulation experiments. The results show that the new exponential approach law can effectively suppress chattering and improve the dynamic characteristics of the system.
Offset compensation cable external diameter measurement system
Authors: Wang Qian , Song Jianyu 
Published: April 2023

Abstract
In the process of industrial production cables and pipes, the precise measurement of the produced product line diameter parameters is very important. In the present paper, we propose an offset compensation diameter measurement system based on analytical geometry and spatial coordinate transformation. The right-angle coordinate system is established in the corresponding planes of the two sets of charge coupling devices and the corresponding laser light source, and the center coordinates of the measured cable are obtained by the analytical geometric method, and the spatial coordinate transformation is used to connect the two coordinate systems to build the offset compensation measurement system. In the actual test (taking θ=45° as an example), considering the overall measurement results of the cylinder standard bar, the overall absolute error is between ± 4 μm without offset, and the relative error is 0~0.05%; and the relative average error (deviation angle is more than 0° and less than 35°) can be maintained at less than 0.7%. The above results demonstrate the feasibility of accurate measurement of this offset-compensated measurement system.
Power Grid Fault Diagnosis Method Based on LightGBM
Authors: Tao Guyuan , Wang Zirui , Zhang Xu 
Published: April 2023

Abstract
With access to distributed power generation and interconnection between regions, China’s power system structure is becoming increasingly complex, and the requirements for power grid dispatching capacity are getting higher and higher. When the power grid fails, a large amount of alarm information appears in the monitoring window, which needs to be processed and classified first to speed up the fault diagnosis and processing. Therefore, this paper proposes a power grid fault diagnosis method based on LightGBM. First, after pre-processing the power grid alarm information, Word2vec is used to vectorize the text, and then the LightGBM model is used to process the text, extract the information features and continue to train. Finally, realizing the three classifications of such simple faults as the transformer fault, bus fault, and line fault. Finally, through the test and verification of the actual power grid case data, it is verified that the method can effectively classify simple faults and meet the needs of the actual power grid online diagnosis.