bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simulation Analysis of Composite Axial Tensile Failure Considering Fiber Strength Dispersion
Authors: Bu Pengfei , Ruan Wenjun 
Published: December 2023

Abstract
The axial strength limit of composites exhibits obvious dispersed characteristics. Based on the finite element simulation, using the Weibull distribution to describe the fiber strength, and considering the random distribution of fibers within the matrix, a representative volume element of composites was established in this article. The axial tensile failure of T300/BSL914C composites was studied and the effects of fiber tensile strength and volume fraction on the axial tensile strength of composites were analyzed. Results show that considering the influence of fiber strength dispersion, the fracture of fiber bundles exhibits a progressive failure during the composite tensile failure process, and before the fiber fracture, the interface is not subjected to stress. Axial tensile strength increases linearly with the increase of fiber tensile strength and volume fraction. The composite axial tensile strength could be improved by selecting high-strength fibers or increasing fiber volume fraction.
Research on Dynamic Characteristics of the Unit Cableway of the Overhead Passenger Device
Authors: Zhao Chi , Jiang Yuqiang , Ma Chi 
Published: December 2023

Abstract
As an important auxiliary equipment for personnel transportation, overhead passenger device is widely used in coal mine production activities, and safety accidents caused by abnormal operating state are also common. As the basis of intelligent monitoring, it is urgent to study its dynamic characteristics. Based on the Euler beam model theory, the unit cableway system of the overhead passenger device is simplified as a vibration system model of the moving concentrated load load-bearing steel wire rope when the suspension chair is moving. The vibration response equation of the unit cableway system in the form of lateral vibration was established based on the D’Alembert principle, as well as the model frequency distribution and the vibration time domain response of the system’s load-bearing steel wire rope during the operation of the suspension chair was obtained. The frequency and time domain changes of the lateral vibration response under variable operating conditions were analyzed. It is found that the main vibration frequency of the overhead passenger device is concentrated in the first two orders and both have the characteristics of a low midpoint near the unit cableway and high at both ends.
Experimental Study on the Influence of Water Barrier Placement Position on Shock Wave Pressure Peak
Authors: Zhang Hong , Li Qi , Zhang Liang , Yang Wei , Zhu Yongchao , Wang Changbo 
Published: December 2023

Abstract
According to the self-built experimental platform, the shock wave experiment with and without a water barrier was carried out, the influence of the existence of a water barrier on the shock wave pressure peak was compared, and the influence of the water placement position on the attenuation effect of the pressure peak was studied. The experimental results show that the existence of a water barrier can completely attenuate the shock wave over-pressure peak, but the formation of aerosol clouds driven by high-speed airflow after the water barrier wave will produce corresponding dynamic pressure peaks. The effect of attenuating the pressure peak will not be achieved near the water barrier, and the pressure peak can be effectively attenuated farther away from the water barrier.
Random Vibration Analysis of an Axially Moving Viscoelastic Beams based on Complex mode and Pseudo Excitation
Authors: Li Yueling 
Published: December 2023

Abstract
Axially Moving Beams can serve as simplified models for many engineering systems, such as aerial cable trams, power conveyor belts, magnetic tapes, textile fibers, aerospace vehicles, etc. They often work in open environments in the wild, with random excitations. In engineering practice, viscoelastic materials are widely used in various engineering fields. This article studies the lateral random response of axially moving viscoelastic beams under various random excitations. Under the random external excitation of concentrated and distributed loading, analytical expressions of the mean function, correlation function, power spectral density, and mean square function of the random response of an axially moving viscoelastic beam are derived. They prove the correctness and simplicity of the Pseudo-excitation method for solving the power spectral density of the random displacement response of axially moving viscoelastic beams.
Frontal A-pillar impact study based on commercial vehicle cabs
Authors: Peng Xuemei , Zhao Liangliang , Liu Fuyun , Sun Yonghou , Zhang Xu 
Published: December 2023

Abstract
To examine whether the passive safety of the cab of a certain commercial vehicle meets the regulatory requirements in a 90° rollover traffic accident, a frontal A-pillar impact simulation test platform is built according to the regulation JT/T1178.1-2018 and the crash simulation is analyzed in LS-DYNA. The driver’s passive safety is comprehensively considered by taking the deformation of the cab structure and the driver’s survival space as the indexes. Aiming at the A-pillar crash test data that does not meet the requirements of the crash regulations, a joint optimization method of welding and strengthening the structure in the inner cavity of the A-pillar and replacing the original material with high-strength steel is proposed. The optimized cab is again subjected to an A-pillar collision simulation test and the optimized results are obtained. The plastic strain of the cab is reduced from the original 0.21 to 0.175 and the minimum living space is increased. The maximum increase in the vertical distance between the driver’s legs and the steering wheel is 52 mm, which improves the passive safety of the cab to a certain extent and provides a reference for enterprises.
General Series Solutions for Stresses around an Arbitrarily Loaded Hole in the Infinite Plate
Authors: Qi Dexuan , Yuan Ye , Jiao Yongshu , Liu Shuo , Shang Peng , Guo Shijie 
Published: December 2023

Abstract
Based on the linear elasticity theory and the Michell-Fourier series technique, a general series solution for stresses around an arbitrarily loaded hole in the infinite plate is presented. An Airy stress function in the form of Michell-Fourier series is chosen. The stresses are expressed by polar coordinates and two sets of stress coefficients. Arbitrarily distributed normal and tangential tractions on the edge of the hole are expanded into Fourier series. Then the loads are expressed by two sets of loading coefficients. The stress boundary is utilized for conditions on the edge of the hole. The stress coefficients are related to the loading coefficients. The general series solution for stresses around an arbitrarily loaded hole in the infinite plate is obtained. The verification solution of stresses around a uniformly pressured hole, and the stresses around a hole loaded by uniform tangential force are presented. The stresses around a circular hole partially loaded by varying traction are also calculated. The results show that the presented analytical solution is in great consistence with that from ANSYS.
Abnormal line loss identification of distributed PV low-voltage distribution area based on data driven
Authors: Ding Jinjin , Xu Bin , Lou Wei , Peng Bo , Ding Jingya 
Published: December 2023

Abstract
The identification of line loss anomalies in low-voltage distribution networks has been a very challenging problem for a long time. The large-scale access of distributed photovoltaics to the distribution network changes the power flow distribution and further increases the difficulty of identifying abnormal line losses in low-voltage distribution areas. In this paper, an identification method for abnormal line loss in distributed photovoltaic access low-voltage distribution area is proposed. Firstly, we analyze the correlation between the line loss rate and other indicators in the area of distributed photovoltaic access. Secondly, according to the gray correlation degree results, the appropriate indicators are selected, and the k-means clustering algorithm is used to cluster these indicators, through the clustering results, we can detect outliers to determine whether there is a line loss anomaly in the area. Finally, by analyzing the time dispersion degree of the cluster where the outlier point is located, the anomaly coefficient of the area is obtained, and the line loss anomaly is judged according to the anomaly coefficient. To verify the effectiveness of this method, we conduct an empirical analysis of typical containing distributed photovoltaics. Experimental results show that this method can effectively identify the line loss abnormalities in the distribution area containing distributed photovoltaics.
An Improved Optimal Tracking Rotor Algorithm of Wind Turbine Based on Dynamic Adjustment of Compensation Coefficient
Authors: Zhang Yumeng , Bu Jing 
Published: December 2023

Abstract
The Optimal Tracking Rotor method, as one of the control methods for MPPT, increases the compensation coefficient to achieve an improvement in average wind energy capture efficiency, but it causes a significant increase in wind turbine load. There are differences in the energy contained between the high-wind-speed areas and the low-wind-speed areas. This paper proposes an improved optimal tracking rotor method by dynamically adjusting the compensation coefficient, to enhance the capture of wind energy in high wind speed areas and slow down the capture of wind energy in low wind speed areas. After research, it was found that the adjustment of the compensation coefficient varies with changes in wind speed and wind wheel acceleration. In response to this problem, the optimal change curve between the compensation coefficient and related parameters was determined. Fuzzy control was used to achieve dynamic adjustment of the compensation coefficient. Finally, the effectiveness of the proposed method was verified based on simulation results in Matlab/Simulink.
Analysis of Minimum Rotational Inertia Requirements for Power System Frequency Stability
Authors: Zhu Zimin , Duan Yu , Wang Xiaoyun , Wu Genzhu , Ma Jian 
Published: December 2023

Abstract
With the advancement of energy transformation and new power systems, large-scale integration of new energy to replace synchronous generators is leading to insufficient inertia in the system, threatening stable frequency operation. Evaluating the minimum inertia requirements of power systems is beneficial for improving the integration capacity of new energy and ensuring secure and stable operation. This paper establishes a mathematical model of frequency dynamics after a fault and advances an approach to assess the minimum rotational inertia requirements. The proposed approach is tested on the modified WSCC-9 bus system to validate its efficacy.
Research on Subway Harmonic Compensation Control Method Based on SSA Optimized Adaline Algorithm
Authors: Wang Zongyan , Mao Zhongya , Guo Qiyi , Han Xinyu 
Published: December 2023

Abstract
To avoid a large number of harmonics generated by the subway train in the process of operation on the power grid security, the theoretical analysis and simulation experiments on the harmonics of the subway traction power supply system are carried out. Aiming at the problem of severe distortion and fluctuation of network side current at the early stage of train startup, a harmonic analysis and compensation control method based on the Sparrow Search Algorithm (SSA) optimized Adaline Algorithm is proposed, which can be employed to carry out real-time adaptive detection and suppression of harmonics generated by the subway traction power supply system. This method can form a closed-loop training loop with the subway system, and the sparrow search algorithm is used to optimize the initial weight value and learning rate hyperparameters of the Adaline model. Simulation results show that the proposed compensating control can reduce harmonics from 15.12% to 2.89% and the current distortion rate by up to 80.8%. Four error evaluation indexes were used to evaluate the errors before and after the optimization. This method is highly adaptive and can be employed to analyze and compensate system harmonics efficiently.
A Fault Diagnosis Approach for Wind Turbine Gearbox Based on Ensemble Learning Model and Dung Beetle Optimization Algorithm
Authors: Wang Chen , Zhang Xiaochen , Luo Tianjian 
Published: December 2023

Abstract
The gearbox is one of the crucial components in wind turbines, and its performance degradation would give rise to out-of-order or even damage. To accurately identify the fault of the gearbox, a novel fault diagnosis approach based on the ensemble model and the dung beetle optimization algorithm is introduced. Firstly, an ensemble learning model with different activation functions is established. Secondly, the dung beetle optimization is applied to select the base models for improving the performance and generalization ability of the ensemble model. Finally, the proposed method is tested with a gearbox dataset. The experimental results show that the proposed approach achieves higher diagnostic accuracy on the gearbox dataset.
Ultra-short-term forecasting of agricultural intelligent greenhouse power load based on ISDS and MDUS-LSTM
Authors: Yu Binbin , Xin Xiaoming , Kong Weizheng , Wu Hengtian , Wu Xiaoyu , Sun Bo 
Published: December 2023

Abstract
The agricultural smart greenhouse electric load differs significantly from the traditional building electric load. It is more susceptible to the influence of meteorological conditions, featuring poor regularity and significant random fluctuations, so load forecasting faces new challenges. To address this challenge, this paper focuses on a variety of meteorological and historical similar feature extraction, innovates model updating strategies, and proposes a new ultra-short-term forecasting method for agricultural smart greenhouse electric loads. Firstly, an improved similar day selection (ISDS) method is designed. This method considers both trend similarity and magnitude similarity of time series. It sets weights according to the degree of influence of different meteorological features on load, thus improving the learning efficiency of the model. Next, a model dynamic update strategy (MDUS) is designed. This strategy consists of initial training of forecasting model parameters based on historical similar daily loads and online updating of forecasting model parameters based on adjacent daily load data. Then, the forecasting model is trained online and fine-tuned with the parameters based on the adjacent daily load data. The dynamically updated forecasting model is used to achieve ultra-short-term forecasting of the electric load to improve the forecasting accuracy and adaptability of the model. Finally, the effectiveness of the proposed method is verified by actual electrical load data, real-time meteorological data, and NWP data collected in an agricultural smart greenhouse in Shouguang, China.
An optimal allocation model for distributed energy storage in the distribution network based on probabilistic power flow
Authors: Zhao Zhiyu , Ma Zhihao , Liang Weichen , Wang Yajuan , Liu Bo , Tian Qi 
Published: December 2023

Abstract
An increasing number of renewable energy resources (RES) are connected to the distribution network, including wind power and photovoltaic. The volatility and randomness of its power output have brought some problems, including that the voltage exceeds the upper limit when its output is large, and the local power consumption is small. The use of distributed energy storage in the distribution network can effectively alleviate those problems. This paper proposes a method of distributed energy storage capacity allocation for the distribution network, based on probabilistic power flow (PPF). This capacity allocation based on PPF can more accurately describe the impact of the randomness of RES power output. Its validity and correctness are verified based on the improved RBTS-bus 6 model.
Research on optimal dispatch of microgrid with dispatchable load
Authors: Li Runing , Liang Caihao , Jia Yudong , Zhu Yongqiang , Xia Ruihua 
Published: December 2023

Abstract
With the rapid development of society, traditional energy has become increasingly scarce and the problem of environmental pollution has intensified. By analyzing the objective functions of gas turbine, battery, photovoltaic power generation, and wind power generation, their constraints are established, and a microgrid optimal dispatching system is established. Using the idea of particle swarm optimization algorithm, an optimal dispatching model of microgrid with schedulable load is proposed. The particle swarm optimization algorithm runs in the optimal strategy algorithm of MATLAB to predict the optimal dispatching transmission time of the dispatchable load, and finally, minimize the total operating cost of the microgrid system by comparing the output before and after distributed generation in the system and the total load of the system.
Flexible Resource Space-time Layered Optimization Scheduling Considering the Partition Characteristics of Active Distribution Networks
Authors: Luo Busheng , Lin Zhichao , Guo Deru , Cai Weijun , Zhang Zuogang , Zhou Haohan 
Published: December 2023

Abstract
Due to the layout differences between different areas of the distribution network, the electrical characteristics of each partition differ significantly. A flexible resource scheduling model considering distribution network functional zoning is proposed to address this issue. Firstly, electric vehicle charging congestion and willingness indices were proposed in different areas to guide electric vehicle charging, and corresponding controllable load models were established. A cross-regional charging model is proposed to guide users in charging, addressing the imbalance in the number and price of charging stations in each area. Then, a hierarchical scheduling model was developed based on the idea that renewable energy should be fully consumed in the upper layer to minimize the peak-to-valley disparity for the overall scheduling of flexible resources. They were scheduling controllable loads in each area in the lower layer and optimizing the charging positions of vehicles in each area. Finally, taking the IEEE33 node system as an example for simulation, the optimization effect of electric vehicles and controllable loads on the operation of the distribution network was analyzed. The results showed that the proposed method could leverage the resource characteristics of each partition, verifying the effectiveness of the proposed method.
Pilot Protection of AC System in AC-DC Interconnected Grid Based on Traveling Wave Refraction and Reflection
Authors: Gao Shuping , Duan Yunqing , Song Guobing 
Published: December 2023

Abstract
To solve the problem that the voltage travelling wave protection at the AC bus is difficult to detect in the AC/DC interconnection network, a frequency protection principle of the line waveguide using the phenomenon of travelling wave catadioptric is proposed in this paper. According to the catadioptric phenomenon when the discontinuity of traveling wave impedance meets the wave, the fault area is identified by using the different refraction and catadioptric coefficients of faults inside and outside the region. In PSCAD/EMTDC environment, the AC-DC interconnection network model is established, and the protection principle is verified by MATLAB.
Multi-time-scale Optimal Scheduling of Park-specific Integrated Energy System Considering Stackelberg Game
Authors: Huang He , Cao Ximin 
Published: December 2023

Abstract
With the reform of the electricity market, the coupling interaction between different stakeholders becomes increasingly more obvious. This paper proposes a multi-time-scale optimal scheduling model for park-specific integrated energy system operator (IESO) considering the Stackelberg game given the different interest demands of different subjects in the park-specific integrated energy system (IES) and the accuracy of source-load forecasting. Firstly, a day-ahead Stackelberg game model is established with the park-specific IESO as the leader and the park users as followers. Afterward, taking into account the influence of large errors in source-load forecasts, an intraday dispatch model and a real-time correction model based on model predictive control were established. Through the analysis of calculation examples, it is verified that the multi-time scale optimal scheduling of park-specific IESO which considers the Stackelberg game can effectively reduce system operating costs, improve system economy, and stabilize fluctuations caused by source-load forecast errors.
Dynamic modeling of air conditioners based on bat algorithm
Authors: Deng Song , Tan Zhukui , Liu Bin , Zhang Junwei , Tang Saiqiu 
Published: December 2023

Abstract
In recent years, countries have advocated green development and gradually implemented new energy-based power grids. Due to the contradiction between the randomness of new energy generation and the growing demand for residential electricity consumption, the stable operation of power grids is facing a great challenge. Air-conditioning loads make up a large and increasing portion of residential electricity consumption, so monitoring it and establishing a corresponding model to guide residents to use electricity reasonably and ensure that the power grid operates stably is important. Many air conditioning model parameters are based on typical values or use offline identification and need higher accuracy. The paper presents a dynamic modeling approach for air conditioners based on the bat algorithm to realize a comprehensive view of the air conditioners and the buildings to which they belong. A model of the air conditioner and the building to which it belongs is created. Then the bat algorithm recognizes the model parameters and makes iterative corrections. The actual usage scenario is simulated in the form of simulation to generate air conditioner power consumption data and verify its recognition effect. The model is shown to identify the corresponding parameters accurately. It realizes the accurate monitoring of air conditioners in real application scenarios, which is important for comprehensively understanding air conditions.
Numerical Simulation of Oil-water Two-phase Flow Interface Tracking
Authors: Hu Hua , Li Tao , Xie Jiaan , Wen Yuqi , Deng Shengchu , Ma Shouxiao , Liu Lishu 
Published: December 2023

Abstract
The insulation performance of transformer oil has a great connection with the stable operation of power systems, and transformer oil will inevitably be mixed with water and other impurities in the actual operation. To explore the mechanism of the influence of suspended water droplets on the insulation performance of transformer oil, this paper uses the phase field method to simulate the interaction and phase transition process between oil and water phases in motion. They systematically analyse the influence of electric field and oil flow parameters on the deformation and coalescence of water droplets. The results indicate that droplets in the oil channel will deform along the direction of the electric field, and the degree of deformation gradually increases with the increase of the electric field strength. The electric field strength has an important impact on the degree of deformation of droplets in the oil channel. In addition, under the same electric field intensity, the radius of droplets is an important factor that leads to the length of aggregation time of droplets. Research has found that the aggregation time between droplets becomes shorter as the radius gradually increases.