bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rendering optimization method and implementation of power grid WebGIS based on Web Worker
Authors: Zhang Yuan , He Yuan , Wei Wu Hai , Kui Zhang Shou , Tang Xu , Wei Zhang Yao , Shen Fang Cai , Xiao Han 
Published: February 2023

Abstract
In the power grid WebGIS application, the graphical display of power grid equipment is one of the most basic functions. However, the massive data brought by the growing number of power grid equipment brings difficulties to both server-side storage and client-side rendering. Aiming at the characteristics of power grid GIS data, this paper presents a Web Worker-based grid WebGIS rendering optimization method and uses a program to implement it. The method improves the rendering speed of the client and optimizes the display effect by marking the displaying rules after data vectorization, simplifying the line data, generating vector tiles dynamically, and station label dodging. The result of the test shows that this method can effectively improve the fluency and user experience of existing power grid GIS applications.
The Effect of the Fast Frequency Response of the Solar Energy System on the Power System Dynamic Frequency Evolution
Authors: Liu Shaofeng , Wang Maxiang , Li Jicheng , Xu Jun , Xiao Zhu , Wang Hui 
Published: February 2023

Abstract
The existence of a large-scale photovoltaic power generation system without any rotational inertia can deteriorate the frequency stability of the power system. The solar energy storage system consisted of photovoltaic power generation and the energy storage device with fast charge and discharge can provide fast frequency responses to the grid through the power electronics controls, and therefore improve the dynamic frequency security of the low-inertia system. This paper discusses the modeling and fast frequency controls, namely virtual inertia and droop control. The modified WSCC 9-bus system with high photovoltaic power penetration and low inertia serves to show the effects of the solar energy storage system’s fast frequency responses on the frequency evolutions of the new power system. The results show that in the low inertia system with large-scale photovoltaic power generation, the active power droop control of the solar energy storage system can decrease the frequency deviations, but may introduce low-frequency oscillations during the frequency evolution following a contingency; the virtual inertia control can depress both the rate of change of frequency as well as the oscillations during the frequency evaluation.
A High-Sensitivity Refractive Index Nano-Sensor Structure Based on MIM Waveguide
Authors: Liu Pengwei , Yan Shubin , Shen Lifang , Liu Jilai , Ren Yifeng 
Published: February 2023

Abstract
In this review, we engineer a high-performing nanosensor mechanic based on SPPs, which consists of a metal-insulator-metal waveguide coupled with two triangular plates in a double-internal-pile ring cavity (DISRC). The feasibility of establishing the sensor based on SPPs is analyzed theoretically, and the parameters of DISRC are simulated by the finite element method. The best sensitivity of the proposed system is 2640 nm/RIU with a high FOM is 71.4. The sensor is simple in structure, easy to integrate, and takes some advantages of traditional cavities into account. Hence, in other high-sensitivity nano-sensor fields, it has good application prospect and potential.
Research on Safety Risk Assessment Method of Wind Power Enterprises Based on Hybrid Analytic Hierarchy Process
Authors: Ma Yanling 
Published: February 2023

Abstract
With the increase in urban demand for wind power, wind power has become one of the main energy sources for urban production and life. There are many hidden dangers of safety production in urban wind power enterprises in China. Therefore, it is particularly necessary to study the risk evaluation model of urban wind power enterprises. However, the previous evaluation methods seldom consider the impact of risk factors. Aiming at this problem, this paper proposes a fuzzy hybrid AHP evaluation method. Firstly, combined with AHP and network AHP, a hybrid hierarchical structure model of risk evaluation indicators is established, which improves the influence relationship between risk indicators in the index hierarchy model. Secondly, combined with the fuzzy evaluation method, the experimental analysis proves that the model has certain accuracy in the process of practical application.
Analysis of A Few Continuous Ferromagnetic Resonance PT Faults in Power Plants and Improvement Measures of Harmonic-free Suppression Technology
Authors: Yang Yue , Chen Bo , Zhao Xiayao 
Published: February 2023

Abstract
Many vicious faults of burning PT and high-voltage fuse caused by ferroresonance occurred in power plants. Microcomputer harmonic elimination device and silicon carbide harmonic elimination device did not work; particularly silicon carbide harmonic elimination devices burnt together with PT. This paper, enumerating the excitation conditions of PT ferromagnetic resonance, analyzes the circuit characteristics of PT circuit ferromagnetic resonance in the power plant and the power frequency voltage characteristics of the sound phase when the single-phase grounding fault occurs in the neutral point ungrounded system. The defects of the existing harmonic elimination device are summarized, and the technical improvement measures are proposed to add the current-sensitive intelligent harmonic elimination device. Practice shows that this kind of harmonic elimination device can effectively avoid PT bursts and fuse-fusing faults caused by the resonance of the intermittent grounding of the system.
Measurement and Test of Electromagnetic Environment of Power Transmission and Transformation Project Based on Full Humidity Condition
Authors: Zhang Zhuangzhuang , Liu Weipo , Li Yuan , Guo Xing , Tian Xu , Li Haifeng 
Published: February 2023

Abstract
Currently, the power transmission engineering electromagnetic environment monitoring instrument is widely used but cannot realize the power frequency electric field monitoring if the humidity is above 80%. By analyzing the influence factors of the humidity on the measuring instrument, this paper puts forward the power frequency electromagnetic field measurement method in the full humidity condition. The comparison test and data analysis are carried out under different humidity conditions. The distribution characteristic curve of the power frequency electric field is calculated by Maxwell software, and the accuracy of the measured data is verified from the theoretical calculation. The analysis proves that the power frequency electromagnetic field is independent of the environmental humidity, which strongly supports the electromagnetic environment measurement on rainy days of high humidity weather conditions.
State recognition system based on convolutional neural network
Authors: Zheng Jiaming , Tian Jingfu , Yang Fei , Qian Hai , Nan Yang , Wang Miao 
Published: February 2023

Abstract
Identifying the operating status of the switchgear of the electrical cabinet is of great significance to the safety of the substation. Currently, nonintelligent inspections are used, usually manual inspections, to monitor the switch status, which wastes manpower. More serious is that the shortcomings of non-intelligent inspections are false and missed detections, which can seriously damage the power system. Therefore, to reduce manpower and improve detection accuracy, an intelligent switch detection method based on image recognition is proposed in this paper. Firstly, the identification system of the protection board switch is explained. Secondly, the convolutional neural network model is designed, and a data set is made to train the network model parameters. Finally, the switch pictures in the substation are selected as the data set, and the pictures are identified in the experimental part. The experimental results prove that the method can accurately locate the switch area and switch recognition, which proves the feasibility of the proposed method.
Capacity Optimization Method of Electrochemical Energy Storage System Based on Demand Side Response Improved Particle Swarm Optimization Algorithm
Authors: Zhu Jun 
Published: February 2023

Abstract
As the current capacity of the existing electrochemical energy storage system is too low to meet the problem of power supply enterprises’ power equipment operation demand. Therefore, this paper introduces the demand-side response improvement particle swarm algorithm to carry out the research on the capacity optimization of electrochemical energy storage system. According to the operation characteristics of the energy storage system, the charging and discharging model of the electrochemical energy storage system is established; the demand-side response improvement particle swarm algorithm is used to set the capacity optimization objective function of the energy storage system; and the capacity configuration plan of the electrochemical energy storage system is finally completed. By examining the performance of chemical energy storage systems before and after the application of optimization technologies, it’s finished that the capability of the system has been considerably improved when optimization, which might give additional power conditions for additional power instrumentation and promote the development and development of power offer enterprises.
Electric field detection method of 500 kV porcelain deteriorated insulator based on Combination Neural Network
Authors: Dong Kai , Xue Zhihong , Dong Yanwu , Lu Ziqiang , Li Jie , Wu Shaocheng 
Published: February 2023

Abstract
The operation state of insulators is closely related to the safety and reliability of the power network. Affected by the environment, the insulator strings will gradually age and become low-value or zero-value in insulators. Therefore, it is of great engineering significance to correctly and timely detect whether there are faults in insulators. It has a good engineering application prospect to evaluate the insulation condition of insulators by detecting the surface electric field value of insulators. In this paper, the external axial electric field value of the insulator skirt is obtained through finite element simulation, and the combined neural network model is used. Finally, the effectiveness of the model is verified by the measured data. The experimental results show that this method can effectively identify whether the insulator has deteriorated.
Short Circuit Current Algorithm and Software Design Based on IEC60909 Standard
Authors: Huang Guanbiao , Su Yinsheng , Zhao Ligang , Mao Zhenyu , Zhen Hongyue , Tu Sijia , Wang Changxiang , Zhou Tinghui , Xu Yuan 
Published: February 2023

Abstract
With the continuous growth of load and the enhancement of grid structure, the problem of excessive short circuit current has become a key factor affecting the safe operation of the China Southern Power Grid. The comparison of measured data shows that the short circuit current calculation results of China Southern Power Grid are optimistic based on the existing short circuit current calculation method. It brings difficulties to the arrangement of the power grid operation mode. This paper first briefly introduces the calculation principle of the IEC60909 Standard (short for IEC60909 Short Circuit Current Calculation Standard). And based on this standard, an improved algorithm for short-circuit current calculation is proposed. FCAP (short for Fault Current Analysis Program), a newly developed software based on the improved algorithm, is compared with other similar software being popular in domestic and foreign to prove its engineering practical value.
Park Multi-energy Complementary Comprehensive Intelligent Energy Coordinated Operation Optimization Method
Authors: Peng Xiaowu , Qiang Kai 
Published: February 2023

Abstract
To meet the demand of energy supply and demand balance in the park and avoid the problem of waste or insufficient supply in the process of energy supply, the design and research of coordinated operation optimization method of the multi-energy complementary integrated intelligent energy in the park are carried out. According to the park’s function mode and cooling and heating load operation requirements, the optimal configuration of the park’s electrical and photovoltaic access scheme is carried out. The calculation of the energy supply load is a prerequisite to carrying out the adaptive scheduling of the park’s multi-energy complementary comprehensive intelligent energy supply. The power data is integrated and transmitted according to the park’s energy supply and demand balance requirements. When the terminal control module receives the dispatching data, it needs to evaluate the demand response first and then carry out the comprehensive control of energy-coordinated operation according to the evaluation results. The example proves that the optimization method can balance energy supply and demand in practical applications.
Fault Diagnosis of Oil Immersed Transformer Based on the Support Vector Machine Optimized by Improved Fruit Fly Algorithm
Authors: Shi Quan , Lu Qifu , Ran Wang , Fu Ming , Fu Dong 
Published: February 2023

Abstract
The oil-immersed transformer is studied, and the support vector machine (SVM) algorithm is used. The radial basis is selected as the kernel function and is optimized by the improved fruit fly (IFF) algorithm based on the parameter characteristics to diagnose faults. By the simulation experiment, it is concluded that the proposed SVM algorithm optimized by using the IFF algorithm can not only avoid the local extremum problem but also show good generalization ability for small sample data processing, which has development potential in diagnosing power transformer faults.
Time dependent Pinch analysis with sensor data and unsupervised learning algorithms
Authors: Halisdemir U , Dumont Q , Jean-Marie A 
Published: February 2023

Abstract
Heat integration is essential for energy efficiency and operational cost reduction in energy-related applications. Pinch Analysis is a heat integration model that has attracted a lot of attention over the past few decades. Although the method has been successfully applied to many industrial processes, it has also been shown to have many limitations. One of these limitations is that the method only considers the average values of the physical quantities of a process, and therefore is not suitable for studying dynamic processes that undergo variations in their operating conditions. Attempts have been made to improve Pinch Analysis to circumvent this limitation, but they have been found to oversimplify and result in unrealistic solutions. The purpose of this work is to use sensor data and unsupervised learning algorithms to extend Pinch Analysis to dynamic processes. Specifically, we use time series segmentation to detect changes in the process operating conditions and clustering to group similar segments. The approach is applied to a real industrial use case. We compare the performance of heat exchanger network with and without data analysis. The solutions obtained with our methodology improves waste heat recovery by 20% while reducing the cost of the heat exchanger network by 31%.
Performance assessment of solar and desiccant aided building air-conditioning system
Authors: Singh Gaurav , Das Ranjan 
Published: February 2023

Abstract
Indoor thermal comfort significantly influences people’s health, happiness and consequently the output at the workplace. Here, a systematic simulation study on a conventional vapor compression-based building cooling system integrated with desiccant assisted dedicated outdoor air system (DOAS) is performed using EnergyPlus software for warm and humid climate zones. Impact of using desiccant material in the DOAS, on the cooling load requirement of the building, coefficient of performance (COP), and energy consumption of the system is discussed. The building design is well-validated with the available guidelines. Desiccant assisted system supplies dehumidified air inside the building space which affects the evaporator performance. A flat plate solar collector system is used to supply the hot air to regenerate the desiccant material. Electric energy savings in desiccant assisted system can be achieved up to 5.5 %, whereas, the COP of the system is not found to be significantly affected even though thermal load demand reduces by nearly 13.5 % by the proposed modification.
Reliability Optimization Structure of the Stator Under the Short-term Duty with High Load
Authors: Ma Yiguang , Cao Jiwei , Li Liyi , Liu Yuxi 
Published: February 2023

Abstract
Due to the complex operating conditions and high-reliability requirements of special motors, the thermal management technology combining the heat conduction sheet in the slot and the heat absorption of phase change materials outside the slot is used to restrain the winding temperature rise. In this paper, an optimized stator structure is proposed, and the temperature rise analysis model of winding in the slot is established. On the premise that the electromagnetic performance remains unchanged, the temperature rise suppression method of rapid heat transfer in the slot and rapid heat absorption outside the slot is adopted to study and analyze the suppression effect of winding temperature rise under different working conditions.
Hydrothermal liquefaction of waste Al-PE-Pa laminated packaging: Effect of Ni:Ce in Ni10Cex/Al2O3 catalyst
Authors: Wang Yuzhen , Liu Zhuan , Guan Chunxing , Zong Xiuyu , Zhang Pu , Hui Pan , Gong Hao 
Published: February 2023

Abstract
Hydrothermal liquefaction technology was applied for treating waste Al-PE-Pa laminated packaging for bio-oil production at 360 °C, 20 MPa and 30 min. Ni10Cex/Al2O3 catalyst was used to upgrade the quality of bio-oil. The effect of Ni:Ce on bio-oil yield, elements and compounds distributions were investigated. Results showed that the maximum bio-oil yield of 35.53 wt% was obtained with 5 wt% Ce loading. In addition, the O content decreased from 21 wt% without catalyst to 15% with Ni10Ce5/Al2O3 catalyst. The interactions between Ce and Ni facilitate the dispersion of the active metals and promoted the hydrodeoxidation reactions. The main content of the bio-oil produced with Ni10Ce5/Al2O3 catalyst was diesel oil, which mainly due to the accelerated degradation of the long chain C-C bond in paper fibre and PE. This study provided a new approach for waste Al-PE-Pa laminated packaging treatment.
Research Progress on the Point-defect Relaxation in β-Ti Alloys
Authors: Zheng-Cun Zhou , Xiao-Bin Zhu , Jie Du 
Published: February 2023

Abstract
The anelastic relaxation is measured at a low and high frequency from low to high temperature in some Ti alloys, most of which are usually recorded in the internal friction-temperature spectra. In this paper, the point-defect relaxation in β-Ti alloys is described and discussed. The point defects are the interstitial impurity atoms, substitution atoms and vacancies in β-Ti alloys. The reorientation of interstitial impurity O atoms around matrix Ti and substitute atoms produces Snoek-type peaks. The various interactions between the interstitial impurity atoms (O,N,et al.) and matrix atoms/substitute atoms (Ti, Nb,Mo,V,et al. ) can also produce a complex relaxation spectra consisting of several Snoek-type peaks. The concentrations of interstitial impurity atoms and the substitute atoms have important roles on the height and width of the Snoek-type peaks. The reorientation of defect pairs consisting of the interstitial impurity atoms and vacancies is also involved in the relaxation processes. At high temperatures, the Mo-Mo atom-pairs can be reoriented under the inducing of cycle stress and produce similar Zener relaxation peak.
Effect of Al Content on Microstructure and Properties of Cu-14Ni-xAl Alloys
Authors: Huang Zike , Liu Dongmei , Peng Lijun , Zhang Wenjing , Yang Zhen , Xie Haofeng , Mi Xujun 
Published: February 2023

Abstract
This paper focuses on the influence of Al content on the microstructure and properties of Cu-14Ni-xAl alloys, with the mass fraction of aluminum element ranging from 0 to 5% as the object. First, the evolution of Vickers hardness and electrical conductivity of Cu-14Ni-xAl alloys during aging were tested. Then a comparative study of the friction and wear behavior of Cu-14Ni-xAl alloys with different Al contents were studied. The results show that the alloy with Al content of 3% possesses the best mechanical and friction performance, with the hardness of HV 275.0 and friction coefficient of 0.7 in the peak-aged state. Microstructure analysis show that the precipitates are denser and the volume fraction of aging induced precipitates are more in the Cu-14Ni-3Al alloy, compared with that in the other studied alloys. Finally, the correlations between the Al content, microstructure, the mechanical and tribological properties of the Cu-Ni-Al alloys were further discussed.
Study on Defect Evolution of Steel Strip under High-speed Cold Rolling
Authors: Yasin Said Mohamed , Chen Jianjun 
Published: February 2023

Abstract
In this paper the strain rate effect of the material was quantitatively tested by INSTRON tensile testing machine and Zwick/Roell HTM5020 high-speed tensile testing machine. The dimple size of the fracture surface of the tensile specimen was determined and analyzed by using the scanning electron microscope. Based on the Cowper-Symonds constitutive model, the parameters in the dynamic constitutive model and the true stress-strain curve under quasi-static condition were obtained by combining the results of quasi-static and dynamic tensile tests and the finite element numerical analyses. Considering the strain rate effect of the material the effects of cold rolling speed on the evolution of different types of defects were analyzed by the ANSYS/LS-DYNA dynamics code. The results show that with the increasing of crack length and decreasing of crack width, the critical rolling speed decreases. But if the crack length is less than 5 mm and the aspect ratio of crack length to crack width is larger than 5, the critical rolling speed of crack growth can be much large.
Analysis of humidity sensitivity of silicon strip sensors for ATLAS upgrade tracker, pre- and post-irradiation
Authors: Fernández-Tejero J. , Affolder A. , Bach E. , Basso M.J. , Bhardwaj A. , Cindro V. , Dowling A. , Fadeyev V. , Fleta C. , Fournier A. , Hara K. , Howe A. , Jessiman C. , Keller J. , Kisliuk D. , Klein C. , Koffas T. , Kroll J. , Latonova V. , Mahtani K. , Mandić I. , Martinez-Mckinney F. , Mikestikova M. , Nakamura K. , Orr R.S. , Poley L. , Staats E. , Stelzer B. , Suzuki J. , Ullán M. , Unno Y. , Yarwick J. , Zatocilova I. , Zhou Y. 
Published: February 2023

Abstract
During the prototyping phase of the new ATLAS Inner-Tracker
(ITk) strip sensors, a degradation of the device breakdown voltage
at high humidity was observed. Although the degradation was
temporary, showing a fast recovery in dry conditions, the study of
the influence of humidity on the sensor performance was critical to
establish counter-measures and handling protocols during production
testing in order to ensure the proper performance of the upgraded
detector.

The work presented here has the objective to study for the first
time the breakdown voltage deterioration in presence of ambient
humidity of ATLAS ITk production-layout strip sensors with different
surface properties, before and after proton, neutron and gamma
irradiations. A study of the humidity sensitivity of miniature ATLAS
ITk strip sensors, before and after proton irradiations, is also
presented to compare the sensitivity of devices with different
sizes.

The sensors were also exposed for several days to high humidity with
the aim to recreate and evaluate the influence of the detector
integration environment expected during the Large Hadron Collider
(LHC) Long Shutdown 3 (LS3) in 2026, where the sensors will be
exposed to ambient humidity for prolonged times.