bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transmission line route planning based on AHP-ACO algorithm
Authors: Wang Li , Liu Heng , Yang Jie , Li Yang , Wang Chengong 
Published: October 2022

Abstract
ArcGIS software is used as the geographic information collection and analysis platform for transmission line route selection. Considering the influencing factors such as line length, landform, geology, ice area, transportation, construction, operation and local planning, the comprehensive quantitative cost value of the line is obtained by analytic hierarchy process (AHP). Combined with Ant Colony Optimization (ACO) and Python language, an automatic search model of transmission line path is developed. Selecting the local area with complex terrain in Guizhou, the algorithm simulation is carried out to verify the validity of the model. The results show that the model improves the search efficiency of transmission lines and provides a reference scheme for the planning of transmission lines in my country.
Analysis and troubleshooting of fin stabilizer shutdown
Authors: Wang Shuren , Huang Zhenhua , Ran Tang , Heng Wang 
Published: October 2022

Abstract
Starting from an accident of overload trip and shutdown of fin stabilizer main motor caused by fin stabilizer fault, this paper studies the working principle of this type of fin stabilizer hydraulic system and electrical control system, analyzes the root cause of the fault, introduces the fault treatment method and process in detail, and puts forward suggestions on the daily maintenance and management of the equipment, so as to prevent similar accidents from happening again.
Research on the self-correction method of substation crane operation safety height based on Kalman filter
Authors: Chen Bo , Tian Wang , Yan Yn , Wang HangYang , Xiao Yi , Yang ZhiYong , Li Wen Zhi 
Published: October 2022

Abstract
In order to avoid the influence of changes in air humidity and uneven road surface at the location where the crane operates, the operating range calculated by the crane safety operation system and the actual minimum safe distance contour surface around the transmission wire are in contact, which affects the normal and safe operation of the substation. This paper proposes and implements a self-correction method for the safety height of substation cranes based on Kalman filtering. Firstly, the method integrates multi-source information, such as air temperature and humidity, attitude Angle between crane boom and horizontal plane and vertical plane, and crane boom elongation distance, and adopts multi-classification neural network intelligent algorithm to obtain the maximum safe operating height between the crane boom end and the high-voltage cable; then, combined with the Kalman filter algorithm to filter out the error data output by the laser ranging sensor, to achieve real-time correction and optimization of the vertical distance between the crane arm and the cable. The experimental results show that when the relative air humidity exceeds 80%, the safety alarm error rate is reduced by 12.76%, which effectively improves the reliability of the safe operation of the crane safety operation system when the air humidity exceeds 80%.
Application of Comprehensive Diagnosis Technique in Fault Analysis of FRP Bushing of 110kV Transformer
Authors: Ling Hongzheng 
Published: October 2022

Abstract
FRP high-voltage bushing is widely used in power system because of its advantages of good mechanical strength, short production cycle and free maintenance. Due to the immobility of solid insulation such as glass fiber reinforced plastic and epoxy resin, once there is a local hidden danger, it will not heal itself, which is bound to develop into insulation breakdown. In this paper, starting from the creepage fault of a 110kV transformer FRP high-voltage bushing, comprehensive diagnosis techniques such as test detection, online monitoring, disintegration analysis and simulation calculation are adopted. Different diagnosis methods confirm each other and determine the cause of the fault. The analysis method in this paper has important reference value for fault analysis of high voltage equipment.
Numerical simulation of oil film dynamic characteristics in the bidirectional thrust bearing of a pumped storage unit
Authors: Zhang Zheng , Meng Fancong , Mo Yabo , Hu Kun , Chen Yuwen , Zhao Feng , Zhou Daqing 
Published: October 2022

Abstract
Through the numerical simulation of the internal flow field of the thrust bearing, the distribution of the oil membrane pressure field was calculated using the CFD software Fluent. The effect made by inclination angle and rotor speed on the thrust bearing performance was analyzed. The results show that the inclination angle has a strong impact in pumped storage units. Only when the inclination of the circular direction reaches a certain value, with the increase of the circular inclination, the bearing capacity of the oil film gradually increases, and the pressure center moves to the oil outlet. With the increase of the rotor speed, the bearing capacity of the oil film gradually increases, and the pressure center remains unchanged. Therefore, in the limit of the minimum oil film thickness, running at large inclination angles and rotor speed can improve the performance.
Overview of energy routers control strategies
Authors: Yin Jie , Lou Ke , Gong Guanhua 
Published: October 2022

Abstract
In order to solve the problem of effective utilization of renewable energy, energy Internet technology came into being. As the key equipment of the energy Internet, the research on energy routers is of great importance. This paper introduces the energy router from the aspects of structure and operation mode, and summarizes a general energy router structure. At the same time, the control strategies of the energy router are systematically discussed. In view of the complex and diverse control strategies of the current energy router, this paper summarizes the research status of energy router control strategies and discusses the control strategies according to different classification methods.
Optimal Electricity Decomposition Method for New Energy Grid-Connected System based on Q-Learning Algorithm
Authors: Chen Jinhui , Yang Zi , Wang Zhengfeng , Yang Na , Fu Rong 
Published: October 2022

Abstract
Since the traditional contract power decomposition in the power trading market is difficult to meet the needs of new energy participating in the system operation, an optimal decomposition method of contract power based on the Q-learning algorithm under the uncertainty of new energy power is proposed. Considering the uncertainty of new energy power output, an optimization model to minimize the power purchase cost of the power grid is established. Given the uncertainty of the newly added electricity and the quotation in the market transaction, it is proposed to use the enhanced Q-learning algorithm to obtain the contract decomposition of electricity. According to the actual annual contract electricity data, the monthly optimal decomposition results of contract electricity are obtained, which verifies the economy and effectiveness of the optimal electricity decomposition method.
Study on Mechanical Properties of Friction Pendulum Isolation Device for Transformer
Authors: Sun Yuhan , Xue Yaodong , Lu Zhicheng , Gao Po 
Published: October 2022

Abstract
Electrical equipment has high vulnerability under strong earthquakes due to its own material and structure characteristics. The seismic performance of electrical equipment can be effectively improved by installing isolation devices. Based on the finite element simulation, this paper establishes the finite element simulation model of the friction pendulum isolation device suitable for the main transformer electrical equipment, calculates and compares the mechanical response of the isolation device under different design parameters. The results show that the friction pendulum isolation device with conventional design can meet the load-bearing requirements of the main transformer under conventional conditions; increasing the friction coefficient can effectively improve the energy dissipation effect of the friction pendulum isolation device, but the increase of the friction coefficient will limit the design displacement of the isolation device, and the specific isolation effect needs to be further evaluated; changing the curvature radius of sliding surface has little effect on energy dissipation of friction pendulum isolation device. The research results in this paper can provide research basis for the application of friction pendulum isolation device in the field of electrical equipment.
Research on Calibration Method of Electronic Transformer Based on Correlation and Lattice Notch Filter
Authors: Chen Mianzhou , Li Hongbin , Zhang Chuanji 
Published: October 2022

Abstract
The calibration method of electronic transformer is one of the key technologies to ensure the gradual improvement of reliability and accuracy. For the phenomenon that the electronic transformer is affected by working condition, the measurement signal contains harmonics, noise and frequency fluctuation, a calibration method based on correlation and lattice notch filter is proposed. The simplified adaptive lattice notch filter is used to preprocess the collected data and extract frequency, filter out the interference of harmonics and noise, and improve the precision of the ratio error. And the interpolation correlation method which is not sensitive to noise and harmonic is used to calculate the phase difference. For the non integral period sampling caused by frequency fluctuation, the sampling data is interpolated according to the size of frequency offset. This process achieves the integral period sampling and further improve the calibration precision of angle error. Simulation results show that under the strong harmonic and noise interference the proposed method can filter out interference signals and overcome the influence of frequency fluctuation. And the results of calibrating measured data of electronic transformer show that the algorithm can fully satisfy the calibration requirements of 0.2 level electronic transformer.
Output analysis and capacity configuration of green backup power supply in data center
Authors: Li Xudong , Song Jieying , Yang Peng , Dong Zengbo , Yang Shihui , He Jinwei 
Published: October 2022

Abstract
The backup power supply ensures the stability and reliability of the power supply for a data center. Starting from green backup power supply, this paper studies the selection and configuration method of energy storage mode of backup power supply according to the backup power demand of data center and peak regulation demand of power grid, and analyzes different forms of green backup power supply and the output characteristics of hydrogen fuel cell. Aiming at improving the economy of green backup power assisted peak regulation, the capacity configuration principles of hydrogen energy storage and electrochemical energy storage technology are clarified, and then the capacity configuration of standby power in data center is simulated. The results show that the capacity configuration requirements of lithium battery, fuel cell and hydrogen storage tank corresponding to engineering life can be obtained through algorithm optimization.
Research on Distributed Optical Fiber Pipeline Micro Leakage Detection Technology Based on Recursive Least Square
Authors: Yi Kang , Cai Changxin , Liao Ruiquan 
Published: October 2022

Abstract
A very weak vibration signal is generated when the pipeline leaks slightly. However, the commonly used pipeline leakage detection technology cannot obtain this kind of signal normally, thus causing large positioning error. Aiming at the above problems, a pipeline micro leakage detection technology based on Recursive Least Squares distributed optical fiber is proposed. The technology utilizes a dual Mach-Zehnder interference system with high sensitivity and simple optical path structure to monitor the interference signal caused by pipeline micro leakage at all times. Then, the adaptive filter based on Recursive Least Square method is used to denoise the interference signal. On this basis, the cross-correlation algorithm is used to obtain the delay estimation of the two test signals. This article clarifies the positioning principle of the detection technology and conducts the positioning experiment of pipeline micro leakage. The experimental results show that this technology can effectively detect the weak vibration signal generated by pipeline micro leakage and greatly improve the positioning accuracy of micro leakage points. The relative error can be controlled within 1%.
Discussion on the anti external force damage technology of power cable
Authors: Zhang Zhenhai , Niu Lin , Li Hongbo , Wang Lei , He Xiaoyu 
Published: October 2022

Abstract
With the accelerating process of urbanization and the increasing social power consumption, power cable, as an important part of the power system, has the advantages of high power supply reliability, large transmission capacity, less land occupation and less vulnerable to the influence of the external environment. However, urbanization construction is accompanied by a large number of municipal construction, which causes great external breaking pressure on the reliable power supply of power cables. Therefore, the effective anti external breaking monitoring and early warning of power cables can reduce the losses caused by cable external breaking. This paper mainly introduces the cable anti breaking monitoring system, which captures the vibration signal to identify the signal source, such as piezoelectric sensor, sound sensor and optical fiber sensor. This paper focuses on the working principle of three distributed optical fiber anti burst systems based on OTDR (optical time domain reflection), Mach-Zender interference and Michelson interference, summarizes the characteristics and application scope of each method, analyzes the existing problems of power cable anti burst monitoring and early warning technology at the present stage, and gives the summary and prospect.
Research on Segmented Power Supply Technology of Microgravity Experiment facility with Electromagnetic Launch
Authors: Zhang Jianquan , Zhang Yongkang , Guo Ruicheng , Cai Zhiwei , Li Xuzhi 
Published: October 2022

Abstract
The microgravity experiment facility with electromagnetic launch is driven and braked by a linear motor to vertically eject and recover the experimental cabin, forming a microgravity environment in the experimental cabin without external force. In order to improve efficiency and reduce power capacity, the linear motor needs segmented power supply. When the stator of linear motor is powered by sections, there are inevitable longitudinal end effect and transverse end effect, which will bring the thrust fluctuation of the motor and then affect the microgravity level of the facility. The off time of the section switch, the current and back electromotive force during off will affect the thrust fluctuation characteristics of the motor, and then affect the motion characteristics of the facility and the microgravity level. This paper focuses on the segmented power supply control method of linear motor. With real-time current acquisition, low delay power switch, current shutdown at zero crossing and other technologies, a more stable motor drive power supply is realized, the motor thrust fluctuation is reduced, the movement of the experiment cabin of the facility is more stable, and the microgravity level of the facility is improved.
On-line damage assessment of wind turbine blade full-size structural fatigue testing
Authors: Liao Gaohua , Liao Shuwu , Hong Zhimin , Zhang Zhiyi 
Published: October 2022

Abstract
In order to achieve the target damage under the number of design load cycles, an on-line damage assessment system for fatigue loading test is designed based on the interconnection mode of distributed network bus. The system uses the dynamic signal acquisition instrument to collect the blade strain data, improves the Butterworth filter for filtering and smoothing, extracts the peak and valley values of blade load by the local maximum method, establishes the relationship between section load, cycle times and material Goodman curve, and calculates the maximum action coefficient of fatigue damage based on Markov frequency matrix method and fatigue cumulative damage theory. The fatigue damage evaluation system established for the fatigue test of a 56.5m blade is experimentally studied. The test results show that the fatigue loading damage assessment system can realize data testing and real-time processing, real-time assessment of blade damage degree in fatigue loading, and has the same accuracy as the data post-processing method.
Analysis and Treatment of Abnormal Defects in Transformer Oil Chromatography
Authors: Li Rui , Zhang Lei , Chen LiangYuan , Li DaJian 
Published: October 2022

Abstract
This article analyzes the cause of an abnormal defect in the oil chromatogram of a transformer, and puts forward control measures and suggestions. It is analyzed that the cause of the abnormal oil chromatogram of phase A and B of the main transformer is the poor contact o f the dynamic and static contacts of the unloaded tap changer, high temperature and overheatin g, and the development of contact ablation, resulting in abnormal oil chromatogram. The cause of the ablation of the dynamic and static contacts of the no-load tap-changer may be due to the installation and transportation (or electrodynamic shock or U-switch design and other factors), the contacts are not in close contact, the larger contact resistan ce causes the contacts to overheat, and high temperature conditions Sulfur corrosion occurs on the surface of the lower contact, and the corrosion product gradually deposits on the surface of the contact, which further aggravates the poor contact. Although passivation agent is added in t he later period, the protection effect of the passivation agent at high temperature is limited, and it can no longer protect the contact. Under the action of current, the dynamic and static contacts that cause poor contact are gradually ablated.
Research of Property and Calibrate Method for Pressure Release Device of Power Transformer in the Grid
Authors: Jia Wenbo , Zhang Jian , Zhang Hang , Gong MingChen , Sheng Jie , Xing Wei , Dong Deyang , Qu Limin , Song Baiyue 
Published: October 2022

Abstract
This paper introduces the types, internal structures and working principles of common non-electricity protection devices, and theoretically analyzes the cooperation between non-electricity protection devices. For pressure relief devices, the requirements of relevant standards for pressure relief valves are introduced, matters needing attention in field use of pressure relief valves are summarized, and factors affecting the performance of pressure relief valves are analyzed. Finally, using the calibration platform, through a large number of experiments, the influence of external environment temperature, caliber and pressure release times on pressure release performance parameters was studied. The results show that the average opening pressure at high temperature (95°C) is significantly lower than the average opening pressure of 10 times at normal temperature. At the same time, with the increase of ambient temperature, the aging opening pressure and the average opening pressure will obviously decrease, while the average closing pressure will increase. In addition, under normal temperature environment, the test values of aging opening pressure, average opening pressure and average closing pressure have little change. For pressure relief valves with different calibers, under the same rated opening pressure, the calibers of the pressure relief valves are different, which has little influence on the actual opening pressure. Through the research on the operation reliability of qualified pressure relief valves, it is found that the opening pressure after 50 operations and the first measured opening pressure and closing pressure data after 500 operations are relatively stable.
Research on sensing node location technology based on AOA and fingerprint recognition
Authors: Zhang Huanqiang , Yu Lei , Shu Jian , Zhang Han , Liu Yinliang , Cao Yanzhao , Xu Quan , Lin Xinhao 
Published: October 2022

Abstract
In order to meet the needs of intelligent operation and maintenance of distribution networks, a large number of wireless sensors are deployed inside and outside the power grid for digital sensing and immediate control of the grid. However, once these wireless sensors fail, they will generate erroneous data, which affects the assessment of grid security and brings great hindrance to the automation of power system operation and maintenance. Therefore, we propose an AOA and fingerprint recognition-based sensing node location method to achieve accurate positioning of wireless sensing nodes to facilitate rapid troubleshooting. The method first enhances and denoises the signal characteristics of wireless sensing nodes to achieve pre-processing of wireless sensing fingerprint information and solve the problem of fingerprint feature recognition of data samples. After that we combine the node fingerprint information through deep learning models to achieve device type recognition of wireless sensing nodes. Finally, we design the AOA node localisation method, which uses the AOA coordinate system measurement model to perform distance measurement and coordinate conversion on the fingerprint features of wireless sensing nodes to achieve accurate and fast localisation of wireless sensing devices. The experiments prove that the method has a high accuracy rate in the identification and location of wireless sensing node devices, which can effectively improve the efficiency of grid automation operation and accurate troubleshooting.
Virtual inertia control based on fast frequency response
Authors: Qian Huimin , Sun Sunan , Xu Chenglong 
Published: October 2022

Abstract
In order to improve the inertia support of wind power system in case of load disturbance events, a control frequency response method based on Hammerstein-Neural Network (HNNFC) is proposed in this paper. First, the sliding mode control (SMC) law is designed according to the system frequency dynamic response equation. Then, the system is identified based -Hammerstein-Neural Network (HNN). Moreover, the system disturbance is designed of the ESO which is used as the compensator of the Hammerstein model to improve the fast and stable recovery performance of the system. Finally, the simulation results show that this method can not only release the active power through the rotor kinetic energy, but also improve the system stability recovery ability. The simulation can be seen that the proposed method can well reproduce the original control method. Compared with traditional control methods, the proposed method can improve the robustness ability of the wind power system.
Reliability Evaluation Model of Distribution Network Based on Circuit Structure
Authors: Li Minghan , Fu Chenglong , Huang Jingyi , Liu Jiaxin 
Published: October 2022

Abstract
In order to meet the electricity requirements and improve the quality of distribution networks, it is essential to improve the reliability level of the power system. This paper established several mathematical models based on circuit analysis and computer simulation to realize the evaluation of distribution network reliability. Firstly, the Sequential Monte Carlo method was utilized to simulate the indicators of series and parallel circuits, and the Entropy Weight Method was adopted to weight the indicators. Then, simulation results were comprehensively evaluated using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and the evaluation model of distribution network reliability was obtained. The established mathematical model provided some guidance to construct an industrial distribution network and improve the reliability level of the power system.