bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cause Analysis for a Corroded 220kV Transmission Tower Legs
Authors: Zheng Jianjun , Chen Hao , Fang Wenxuan 
Published: June 2020

Abstract
In this paper, the corrosion cause of a 220 kV iron tower was analyzed by macroscopic examination, chemical composition analysis, micrustructure observation and finite element analysis. The results showed that the tower was located in a heavy chemical industry park, the sulfur dioxides and other waste gases discharging from the nearby factories resulted in a high content of sulfate in the foundation of the iron tower. Besides, the drainage of the iron tower was very poor, causing the tower legs immersed in highly corrosive sewage. In addition, the thickness of the galvanized layer on the surface of the tower materials was uneven and the thickness and local zinc content did not meet the standard requirements, finally resulting in poor resistance and accelerating the corrosion of the tower materials. At last, it was advised to replace a new tower with zinc aluminum alloy layer for the better sulfur corrosion resistance and connected by high-strength bolts.
Optimal Scheduling and Control Techniques of Electric Vehicle Considering Flexible Grid Resources
Authors: Zhang Jing , Wang Lingxiang , Liu Dunnan , Zhang Yuanxing , Diao Xiaohong , Li Taoyong , Liu Mingguang 
Published: June 2020

Abstract
With the continuous expansion of the scale of electric vehicles and the continuous development of intelligent control technology, it is of great significance for electric vehicles to participate in orderly charging and discharging to improve the efficiency of electric vehicles and ensure the safe and reliable operation of the power grid. Firstly, the behaviour aggregation model of electric vehicle is studied. Then, a two-layer optimal scheduling model is proposed for the operation management system of electric vehicles, which including the upper control model from the perspective of the operation of business operator and the lower control model from the perspective of electric system. Finally, a case study on the orderly charging and discharging of electric vehicles is carried out. The results show that the proposed model plays an important role in reducing load fluctuation and enhancing voltage stability.
Short-term Load Forecasting of PowerSystem Based on Improved Feedforward Neural Network
Authors: Zhao Wenbo , Liu Xiaoqin , Li Chengyu , Zhang Fengwei , Wang Qian 
Published: June 2020

Abstract
Short-term load forecasting of power system is the foundation of safe and stable operation of power grid, at present, short-term load forecasting of power system is easily affected by external features, so it is difficult to extract load data features accurately. Aiming at the problem of nonlinear, high-dimensional and poor generalization ability of load data, the short-term load forecasting method based on flower pollination algorithm and feedforward neural network is proposed. Flower pollination algorithm is used to optimize the combination of feedforward neural network weight threshold to reduce the error and improve the robustness of the algorithm. Finally, the prediction results of similar algorithms and those of the proposed method are compared through prediction evaluation indexes. After comparison, it is found that the method in this paper can effectively improve the accuracy of load prediction, which is conducive to increasing the safety and economy of power grid.
Design and application of visualized monitoring platform for substation equipment based on 3D modeling technology
Authors: Tang Qi , Li Guowei , Wu Lihui , Wang Junbo , Luo Rongbo , Li Xiaolong 
Published: June 2020

Abstract
With the rapid development of smart grid, substation is gradually transforming to unattended monitoring mode, which puts forward higher requirements for the visualization of substation. At present, most of the visual display methods have some problems, such as non intuitive, poor interactivity, high cost, etc. based on this, this paper designs a visual platform for the status information of the substation equipment by combining the 3D realistic modeling and 3D software modeling technology on the basis of various modeling technology research. The platform can realize advanced functions such as real-time viewing of operation information, perspective analysis of equipment defects, and roaming inspection. Staff can quickly and accurately understand the status of the equipment, and improve the level of integration and intelligence of substation information system.
Magnetic Potential Analysis of Five-Phase Induction Motor During Two Phase Fault
Authors: Zhou Yinping , Zhao Jinghong , Ma Yuanzheng 
Published: June 2020

Abstract
The main research object of this paper is the change of magnetic potential produced by five-phase induction motor when it runs without two phase, the magnetic potential of five-phase Induction Motor which lacks two phases is compared with that of normal operation by using the method of synthetic current and the theory of double rotating magnetic field, by Simulink simulation analysis, to explain the influence of the motor stability when the motor is running without phase in detail.
Dual Pulse Width Modulation Harmonic Suppression Technology of H-bridge DC Converter
Authors: Zhu Jun , Zhao Jinghong , Zhang Junhong 
Published: June 2020

Abstract
In order to solve the H-bridge DC converter under the traditional pulse width modulation the peak value of EMI is mainly distributed at the switching multiple frequency, and the serious electromagnetic interference. This paper introduces dual pulse width modulation harmonic suppression technology based on the H-bridge DC converter. By expanding the spectral distribution of the harmonics by two pulse widths, the duty cycle and phase of the two pulse widths can be changed to reduce the power of a certain harmonic, and compared with the traditional single pulse width, the analysis of the two pulse width modulation Spectrum distribution on the grid side. The electromagnetic interference under two kinds of pulse width modulation is realized by analyzing through matlab / Simulink software simulation.
Design of 6-DOF Multi-Ring Coupled Parallel Robot Based on Helix Theory
Authors: Yu Liang , Wang Peng , Ye Zenglin 
Published: June 2020

Abstract
Based on the helix theory and kinematic pair type analysis, the unconstrained branch chain configuration of 6-DOF parallel mechanism is synthesized. According to the principle of installation rationality and transmission lightweight design, the driving device of multi-ring coupling branch chain is transferred to the frame through parallelogram link equivalent transmission, and the mechanism transformation with branch chain type of 6-RSS is completed. A multi-ring coupling 6-DOF parallel robot with the branch chain type of 3-RSS-PRSS is designed. Based on the helix theory, the multi-ring coupling branch chain mechanism is split and the degree of freedom of the mechanism is calculated. The modified G-K formula is used to verify that the optimization model is equivalent to the theoretical model. The optimized mechanism reduces the inertia of the robot, improves the speed of the robot, and makes it have the high-speed characteristics of delta robot and the flexibility of 6-DOF serial robot.
Preliminary Study on Intrusion Prevention System of Small Aircraft Applied to Large Hydropower Station
Authors: Guan Rongzhang , Wang Shuang , Xiong Sanyao , Nie Xiaoqian 
Published: June 2020

Abstract
The operation of hydropower stations plays a very important role in improving the quality of power supply, reducing the cost of electricity, reducing environmental damage, protecting the ecological environment, and achieving sustainable economic development. The low-altitude aircraft defense system using for hydropower station is mainly for the control and control of low-altitude drones that enter important areas of the hydropower station. Low-altitude drones entering important areas of hydropower stations are closely monitored, tracked throughout, and electromagnetic strikes are automatically guided to achieve drone drove and forced landing.
Simulation and Research of Light Path Optical Wave Field of Optical Voltage Sensor Based on Pockels Effect
Authors: Zhou Yang , Bu Leping , Wang Liming 
Published: June 2020

Abstract
This paper introduces the development status of optical voltage sensor based on Pockels effect at home and abroad. A research scheme of optical voltage sensor with optical path reciprocity is proposed and its reciprocity mechanism is expounded. Comsol Multiphysics, a multi-physical field coupling simulation software, is used to simulate the fluctuation of the transmission of incident polarized light in the electro-optic crystal, thus realizing the three-dimensional fluctuation simulation of the light wave field, which provides a new research idea and theoretical reference for analyzing and designing the optical path component unit of the optical voltage sensor.
The Load Forecasting Method based on Characteristic Analysis and Combination Learning
Authors: Zhang Zhijun , Li Ang , Qi Xin , Li Qiang 
Published: June 2020

Abstract
Load forecasting is an important basis for power system planning and safe and economic operation. This paper presents a load forecasting model based on feature ranking and combination learning. In view of the great difference of regional load, firstly, the random forest algorithm is used to sort the factors which have great influence on the prediction target. Then, the model selects the characteristic attributes with high characteristic contribution, dynamically combines the prediction results of the extreme learning machine, AdaBoost and neural network model, and updates the weights in a certain period through Lasso algorithm to obtain the final prediction results. Finally, the actual load data of Tianjin Power Grid is used for example verification. The results show that the prediction model established in this paper has good prediction accuracy and stability.
The Load Forecasting Method Based on Adaptive Neural Network and TLBO Algorithm
Authors: Yang Xiaojing , Wang Lei , Liu Yukun , Zhang Baodong 
Published: June 2020

Abstract
Load forecasting is of great significance for the arrangement and optimization of the distribution network scheduling. This paper proposes a load forecasting method based on an improved TLBO optimized adaptive neural network. Firstly, the ‘teaching’ phase in the basic TLBO algorithm is improved, and the average value of all search individuals is changed while adopting adaptive teaching factors, so that the performance of TLBO in the entire search space can be adaptively improved. Then, the ‘learning’ phase of the TLBO is improved. The Gaussian mutation operator is introduced in the learning phase to maintain the diversity of the population and avoid the TLBO algorithm’s premature convergence and local optimization. Finally, using the improved TLBO algorithm to optimize the adaptive neural network forecast model. In the end, the actual load data of Tianjin Power Grid was used to verify the accuracy of the simulation results.
Optimization Strategy for Hybrid Energy Storage Power Distribution Based on Fuzzy Control
Authors: Zhang Jihong , Hu Yongduo 
Published: June 2020

Abstract
In order to solve the problem of intermittence and fluctuation of output power of photovoltaic (PV) power generation system, a fuzzy control based optimization method for power distribution of hybrid energy storage system is proposed. Compared with the traditional hybrid energy storage system (HESS) control method, this method can use the ensemble empirical mode decomposition (EEMD) and fuzzy control algorithm to realize the reasonable distribution of charge and discharge power of hybrid energy storage system. EEMD technology is used to decompose the unbalanced power signal in the system, and realize the power distribution of super capacitor and battery according to the characteristics of energy storage system. The fuzzy controller is used to optimize the distribution power of the hybrid energy storage system, to control the charge and discharge of the energy storage device reasonably. Under the action of the fuzzy controller, the hybrid energy storage system can choose the appropriate operation mode to maintain the stability of DC bus voltage according to the energy storage state of charge (SOC) and power fluctuation. Finally, the simulation example verifies the rationality and superiority of the proposed method.
Adaptive control of grid connected inverter based on virtual synchronous machine
Authors: Ling Yuanlin , Ruan Yupeng 
Published: June 2020

Abstract
In recent years, with the rapid development of distributed generation, virtual synchronous generator (VSG) control technology for distributed generation is proposed. On the basis of droop control, VSG further simulates the inertia and damping characteristics of synchronous generator. Compared with droop control, VSG control technology makes distributed energy have the damping and inertia characteristics of synchronous machine, but it can not guarantee the dynamic regulation performance of frequency and power at the same time. To solve this problem, the adaptive control of VSG is realized by establishing the relationship between the moment of inertia and the damping coefficient. Finally, an experimental platform of VSG adaptive control model is built in Matlab / Simulink. The simulation and experimental results verify the effectiveness and correctness of the proposed control strategy.
Research on Portable Fault Message Analysis Device Based on Mobile Terminals
Authors: Yang Jianyou , Zhao Zhanglei , Lin Guosong , Xi Honglei , Wang Gang 
Published: June 2020

Abstract
As the scale of the power grid expands and the complexity of the power grid structure increases, timely acquisition and correct analysis of grid fault information is important for us handling failure and recovering the power supply. When we are facing of complex grid faults, It can help us get accurate assessment of fault nature, fault location result and failure severity. This paper proposes a portable Fault Message Analysis Device based on mobile terminals, which can help field personnel to obtain fault recording information of different sources in different substations, and complete data remote transmission sharing by wireless transmission module. This device can confirm the fault point and judge the correctness of the protection action behavior through differential calculation and analysis of multi-source recording data. It has powerful functions of analysis and communication, which can help improve the level of fault analysis and processing efficiency, reduce the time of fault recovery and improve the reliability of power supply.
Research on Total Factor Productivity Evaluation of Chinese Power Grid Enterprises
Authors: Xiao Xia , Song Haiyun , Qian Chengchen 
Published: June 2020

Abstract
The total factor productivity research on the micro level is to analyze an enterprise’s real input and output, choose an appropriate measurement method, and accurately measure its input-output level. Based on the “three responsibilities” of Chinese power grid enterprises, this paper constructs a systematic and scientific input-output factor screening system, determines specific output and input indicators, uses Törnqvist total factor productivity index model to calculate the TFP change of a certain Chinese power grid enterprise in the year of 2008-2017, does a further penetration analysis of input-output changes, verifying that the evaluation model constructed in this paper is effective.
Research on Investment Aid Decision of Transmission Line Project Based on Artificial Intelligent Technology
Authors: Ma Li , Ming Yue , Sun Liping , Zhou Qiupeng , Xiong Yi , Zhou Ming 
Published: June 2020

Abstract
According to analyze the historical transmission line projects from 2016 to 2018, we screen out a series of key influencing factors by principal component analysis. Aimed at the accuracy of grid investment, this report constructs an artificial intelligent investment aid decision model based on neutral network algorithm to predict the construction cost of the transmission line project.
Commissioning and first operating phases of the W7-X quench detection system
Authors: Schneider M , Birus D , Fricke M , Rummel T 
Published: June 2020

Abstract
The quench detection system of the fusion experiment Wendelstein 7-X monitors the superconducting magnet system consisting of 50 non-planar and 20 planar coils, 14 current leads and bus bars. The commissioning phase contained the wiring check of the electrical contact between the 486 quench detection units and the superconducting magnet system, the verification of an unbroken and overlapping monitoring, the balance adjustment of the quench detection unit voltage measuring bridge and the parameterisation of the detection criteria: detection level and integration time. During the operation phases there were two unexpected fast discharges initiated through the trim-coils and a fast decay of the bootstrap current. As a result the interplay of the detection level and integration time was re-evaluated. The quench detection system worked stable over the first both operating phases of W7-X, performed from 2015 to 2018. There were no failures of the quench detection units or other parts of the quench detection system.
The project of the Super Charm-Tau Factory in Novosibirsk
Authors: Barnyakov A.Yu. 
Published: June 2020

Abstract
Electron-Positron collider Super Charm-Tau factory at the Budker Institute of Nuclear Physics (BINP) will operate at energies in center of mass W=2-6 GeV with unprecedented high luminosity of 1035cm−2s−1 and the longitudinal polarization of the electrons at the interaction area. The main purpose of the experiments at the collider is search for effects of CP-violation in the decays of charmed particles, tests of the Standard Model in the decay of the τ-lepton, the search and study of an entirely new forms of matter: glueballs, hybrids, etc. The data, which are planned to record, by 3-4 orders exceed everything that has been recorded so far in any other experiment in this energy range. Conceptual designs of the collider based on crab-waist technique and universal detector are developed and presented. Preliminary physics program are considered. Progress of R&D for detector systems are given.
Two years’ test of a temperature sensing system based on fibre Bragg grating technology for the CMS GE1/1 detectors
Authors: Abbas M. , Abbrescia M. , Abdalla H. , Abu Zeid S. , Agapitos A. , Ahmad A. , Ahmed A. , Ahmed A. , Ahmed W. , Amarjeet S. , Asghar I. , Aspell P. , Avila C. , Babbar J. , Ban Y. , Band R. , Bansal S. , Benussi L. , Bhatnagar V. , Bianco M. , Bianco S. , Black K. , Borgonovi L. , Bouhali O. , Braghieri A. , Braibant S. , Butalla S. , Calzaferri S. , Caponero M. , Cassese F. , Cavallo N. , Chauhan S. , Colafranceschi S. , Colaleo A. , Conde Garcia A. , Dalchenko M. , De Iorio A. , De Lentdecker G. , Dell Olio D. , De Robertis G. , Dharmaratna W. , Dildick S. , Dorney B. , Erbacher R. , Fabozzi F. , Fallavollita F. , Fiorina D. , Fontanesi E. , Franco M. , Galloni C. , Giacomelli P. , Gilmore J. , Gola M. , Gruchala M. , Gutierrez A. , Hadjiiska R. , Hakkarainen T. , Hauser J. , Hoepfner K. , Hohlmann M. , Hoorani H. , Huang T. , Iaydjiev P. , Irshad A. , Iorio A. , Jaramillo J. , Jeong D. , Jha V. , Juodagalvis A. , Juska E. , Kamon T. , Karchin P. , Kaur A. , Kaur H. , Keller H. , Kim H. , Kim J. , Kumar A. , Kumar S. , Kumawat H. , Lacalamita N. , Lee J. , Levin A. , Li Q. , Licciulli F. , Lista L. , Loddo F. , Lohan M. , Luhach M. , Maggi M. , Majumdar N. , Malagalage K. , Malhorta S. , Martiradonna S. , Mccoll N. , McLean C. , Merlin J. , Mishra D. , Mocellin G. , Moureaux L. , Muhammad A. , Muhammad S. , Mukhopadhyay S. , Naimuddin M. , Netrakanti P. , Nuzzo S. , Oliveira R. , Pant L. , Paolucci P. , Park I. , Passamonti L. , Passeggio G. , Peck A. , Petre L. , Petrow H. , Piccolo D. , Pierluigi D. , Raffone G. , Rahmani M. , Ramirez F. , Ranieri A. , Rashevski G. , Ressegotti M. , Riccardi C. , Rodozov M. , Roskas C. , Rossi B. , Rout P. , Ruiz J. D. , Russo A. , Safonov A. , Saltzberg D. , Saviano G. , Shah A. , Sharma A. , Sharma R. , Shopova M. , Simone F. , Singh J. , Soldani E. , Sonnadara U. , Starling E. , Stone B. , Sturdy J. , Sultanov G. , Szillasi Z. , Teague D. , Teyssier D. , Tuuva T. , Tytgat M. , Vai I. , Vanegas N. , Venditti R. , Verwilligen P. , Vetens W. , Virdi A. , Vitulo P. , Wajid A. , Wang D. , Wang K. , Wickramage N. , Yang Y. , Yang U. , Yongho J. , Yoon I. , You Z. , Yu I. , Zaleski S. 
Published: June 2020

Abstract
A temperature monitoring system based on fibre Bragg grating (FBG) fibre optic sensors has been developed for the gas electron multiplier (GEM) chambers of the Compact Muon Solenoid (CMS) detector. The monitoring system was tested in prototype chambers undergoing a general test of the various technological solutions adopted for their construction. The test lasted about two years and was conducted with the chambers being installed in the CMS detector and operated during regular experimental running. In this paper, we present test results that address the choice of materials and procedures for the production and installation of the FBG temperature monitoring system in the final GEM chambers.
A storage ring EDM polarimeter
Authors: Javakhishvili O. , Keshelashvili I. , Mchedlishvili D. 
Published: June 2020

Abstract
The search for electric dipole moments (EDM) of elementary particles is one of the hot topic in contemporary particle physics. The method to measure charged particle EDMs (p,d) is to observe the time development of a polarized beam in a dedicated storage ring (srEDM). This requires a new polarimeter with a special target system which is under development at COSY-Juelich.
The particle detector consists of the two layers: a plastic scintillator for ?E and an inorganic LYSO crystal as a calorimeter. Both systems are readout by multi-pixel SiPM (silicon photo multiplier) arrays. SiPMs operate at significantly lower supply voltages compared to the traditional multi-stage vacuum tubes, simplifying detector construction and operation. The developed calorimeter modules operate at voltages up to 30 Volt. For this purpose a modular, high precision voltage supply has been developed together with slow control and voltage monitoring systems. The fully assembled calorimeter part of the polarimeter has been successfully tested together with its high speed and high-resolution sampling ADC-based readout. All test have been carried out using solid block target. However, the final polarimeter will include a ballistic target system which will be shooting point-like diamond pellet through the beam. The movement of the pellet will be precisely tracked in three dimensions and synchronized with the data acquisition system. This will allow us to reconstruct the polarization profile of the beam. Currently, the mechanical and electrical systems for the pellet target are under development.
Recent achievements and experimental results of this project are summarized and discussed in this paper.
(W)hole new field: the new GEM Time Projection Chamber of ALICE
Authors: Miśkowiec Dariusz 
Published: June 2020

Abstract
The ALICE Time Projection Chamber has just been upgraded by replacing the readout chambers, which cover the two ends of the cylinder, with new detectors based on the Gas Electron Multiplier (GEM) technology. We report here on the related activities at GSI Darmstadt: GEM framing and chamber production, as well as the quality assurance accompanying both procedures.