bluuebunny/crossref_metadata_2025_split huggingface dataset:
The significant improvement of surge reliability for the SiC merged PiN Schottky diode (MPS) by forming a P+ zone on the P zone surface
Authors: Niu Xiping , Xu Kaixuan , Sang Ling , Chen Zhongyuan , Li Hao , Lu Yaqi , Zhu Tao , Li Zheyang , Jin Rui 
Published: September 2024

Abstract
Due to its great application prospect in new energy vehicles, the silicon carbide Schottky barrier diodes (SBD) are the most popular wide bandgap power devices. Compared to the JBS SiC diode, the induced large P zone improves the surge current, but the rating of the surge current does not satisfy the need. Recently, many efforts have been proposed to improve the surge current for the MPS diode, such as introducing surge trigger structure from the layout perspective, optimizing the design of the cell, and reducing the defect density to form ohmic contacts. However, these efforts bring about the sacrifice of switching characteristics, adding additional process steps, and increasing manufacturing instability. Here, we propose a new cell design whose Ohmic and Schottky contact are simultaneously formed using a one-step ohmic process. The results show that the MPS surge current is three times higher than the fabricated JBS diodes. The resolution of challenges can improve the reliability of the use of SiC SBD and accelerate their application in various fields.
Numerical simulation study on rubber ring for pipe jacking joint of electric power tunnels
Authors: He Yongjun , Cheng Jian , Shi Zengli , Zhang Bin , Chen Li , Li Xi , Wang Xiaoli 
Published: September 2024

Abstract
To study the sealing properties and stress characteristics of the rubber ring in pipe jacking tunnel joints, the critical state value when the waterproof failure occurs is calculated using the expression of joint detail dimensions. The pipe joint installation finite element model is executed by ABAQUS software to optimize the rubber ring structure. Meanwhile, the pipe joint deflection angle and the installation gap are adjusted. The results indicate that the contact pressure and joint installation force of rubber rings significantly decreased. Moreover, the contact pressure exceeds 0.3 MPa, demonstrating that the optimized joint is more reasonable and reliable. When the pipe section deflects, the maximum allowable deflection angle is 0.02 rad. Exceeding this limit will result in leakage damage due to insufficient contact pressure. The installation gap has a significant impact on the stress of the rubber ring. With an installation gap between 7 and 13 mm, joint failure can be effectively prevented.
Introduction to the design and verification of the cross-arm T pole for the 110kV transmission line and the single-loop T pole
Authors: Li Chu , Gong Shijie 
Published: September 2024

Abstract
With the development of various fields in China, users have higher and higher requirements for power reliability. In order to improve the reliability of 110 kV transmission lines, a new type of cross-arm T-connection technology came into being. This paper introduces the characteristics of the original T-connection technology and the new T-connection mode of the new T-connection technology, as well as the design verification of the new single-loop T-connection tower, and draws the conclusion that the new T-connection tower model is reasonable and the force of the rod can be effectively configured.
A FCS-MPC with delayed switching for a two-level voltage source inverter
Authors: Wu Xinhua , Ji Qingfeng , Lv Zeyan , Chu Ying , Li Zuxin , Zeng Xiao , Wang Tao 
Published: September 2024

Abstract
This paper proposes a modified FCS-MPC strategy for voltage source inverters (VSI), which can achieve a better voltage tracking performance than traditional MPC with limited computation burden. Instead of immediately switching at the beginning of the control period, the proposed method will delay the switching action, which actually combines the present state and the next optimal switching state for better tracking performance. As such, the suppression of total harmonic distortion (THD) gets improved. Without additional state traversal, the delaying time computation burden is limited. In simulation test, the efficactiveness is confirmed by the VSI of proposed strategy.
An outlier identification method based on parallel clustering and the Adaboost algorithm for power multi-source heterogeneous data
Authors: Meng Qi , Zhang Xixiang , Huang Hanhua 
Published: September 2024

Abstract
Influenced by the diversity of data scheduling and the multi-level differentiation of data distribution, the multi-source heterogeneous data of electric power have serious deviations in space and time scheduling, which makes it difficult to identify outliers. Therefore, a method for identifying outliers of multi-source heterogeneous data of electric power based on parallel clustering and the Adaboost algorithm is proposed. A sampling node model of heterogeneous data is constructed, and random numbers that obey Gaussian distribution are generated according to the mean value of data, and their mean square loss values are optimized to form an objective function of abnormal values of multi-source heterogeneous data of electric power. According to parallel clustering and the Adaboost algorithm, a unified format is created to obtain the load control results of abnormal values of multi-source heterogeneous data of electric power, so as to realize the identification of abnormal values of multi-source heterogeneous data of electric power. The experimental results show that at the time point of 18 s, the data identification quality of this method has reached 80, and with the increase of time, its data identification quality remains stable. It is demonstrated that the method has good recognition results.
Noise mitigation method for power line communication based on cross-correlation analysis
Authors: Shi Zhan , Fu JiaJia , Kang Zhongmiao , Liang Yutu 
Published: September 2024

Abstract
Noise has a significant impact on the transmission rate and reliability of power line communication(PLC), which has become a crucial factor affecting PLC. In order to enhance the noise resistance of PLC, this paper proposes a noise mitigation method for PLC based on cross-correlation analysis. Firstly, the characteristics of OFDM signals based on PSK modulation are analyzed. Subsequently, reference signals are created for the purpose of cross-correlation with the PLC signal. Then, the phase of each subcarrier can be obtained. The PLC signal is reconstructed by utilizing the obtained phase, thereby achieving noise mitigation. Finally, the algorithmic program has been written for the simulation of the method in MATLAB. The simulation results show that the noise mitigation method can successfully remove the noise from PLC signals with signal-to-noise ratios within -20dB.
Optimal planning of wind and solar complementary AC/DC microgrids under distributed power capacity constraints
Authors: Li Peng , Li Huixuan , Hao Yuanzhao , Yue Xianyu , Zu Wenjing , Zhang Hongkai 
Published: September 2024

Abstract
The conventional AC/DC microgrid wind-solar complementary optimization planning method mainly uses the CvaR (conditional value at risk) risk value stochastic model to calculate the randomness of output electricity price, which is vulnerable to changes in load expectations, resulting in the per unit value of photovoltaic load output not meeting the actual demand of the microgrid. Therefore, under the constraints of distributed generation capacity, an optimal planning method of wind-solar complementation for AC/DC microgrids is designed. That is to say, considering the distributed generation capacity constraints, the optimal planning model of wind-solar complementation of AC and DC microgrids is constructed, and the bidirectional adjustment equation of the optimal planning of wind-solar complementation of AC and DC microgrids is generated, thus realizing the optimal planning of wind-solar complementation of AC and DC microgrids. The experimental results show that the PV output per unit value is higher and the load output per unit value is lower in the design of the wind-solar complementary optimization planning method of AC/DC microgrid considering distributed generation capacity constraints, which meets the requirements of efficient operation of the microgrid and has certain economic value.
Research on the identification and detection technology of electricity theft in power distribution areas under a smart grid environment
Authors: Liu Kai , Chen Juan , Sun Yuanxiang , Xu Hongbo , Zhao Yanyu 
Published: September 2024

Abstract
With the extensive application of smart meters, power companies can access a wealth of customer electricity usage data, which has not yet been fully utilized. This paper proposes a substation area user identification and electricity theft detection method based on smart meter data, aiming to enhance the level of intelligent management of power grid enterprises and reduce operational costs. By using the grey relational analysis method, analyzing the measurement data collected by smart meters at different time points, it is possible to determine the substation area and phase to which the user belongs and to detect electricity theft behavior. Finally, through simulation, the effectiveness of the proposed method is verified.
Low voltage distribution intelligent control system based on distributed photovoltaic grid connection
Authors: Zheng Guoquan , Zhu Enguo , Zhang Hailong , Liu Yan , Wang Junlong , Liu Zhe 
Published: September 2024

Abstract
This article mainly studied the use of distributed photovoltaic power generation technology to achieve intelligent control of low-voltage distribution networks. With the rapid development of new energy, distributed photovoltaic power generation technology has become an important means to alleviate the current energy crisis and environmental problems. This article first elaborated on the theory and research status of distributed photovoltaic power generation systems. Based on this, artificial intelligence technology was applied to distributed photovoltaic power generation systems for real-time monitoring to enhance their stable and reliable performance. When the simulated grid voltage was set to 220V, the system output voltage was also 220V, showing a deviation of 0.0%, proving that the system has excellent regulation accuracy at this voltage level. This article is an innovative research that integrates distributed photovoltaic power generation with intelligent control, opening up a practical and feasible technical path for the large-scale utilization of clean energy. Therefore, this study has significant academic value and practical significance.
Construction of a photovoltaic low-voltage grid connected power regulation system based on partition control
Authors: Zhu Enguo , Liu Yan , Zheng Guoquan , Li Congcong , Jing Zhen 
Published: September 2024

Abstract
Photovoltaic power generation is a green and renewable power generation mode and has been widely used. However, the power fluctuation of photovoltaic power generation has a significant impact on the power grid, which is very important. Based on the concept of regional control, this paper studies the photovoltaic low-voltage grid-connected power regulation system. The photovoltaic power generation system is divided into multiple regions, and each region is provided with an independent control unit and regulation strategy under the control of multiple control areas. The regional factors are combined, such as light intensity and power voltage. In the case of the city, the impact of the area on the whole is dynamically adjusted to achieve the overall balance of power and the stability of the system. The experimental results show that the photovoltaic low-voltage grid-connected power regulation system constructed by regional control performs well and has a high degree of stability. According to the change in light intensity and load demand, the system can achieve accurate control and distribution of photovoltaic power generation.
Participation of wind-storage combined system in the secondary frequency regulation control strategy of power grid
Authors: Cheng Yan , Dong Cun , Sun Shumin , Wang Chenglong , Song Yu , Wu Shouyuan , Huan Jiafei , Liu Yu 
Published: September 2024

Abstract
The secondary frequency modulation of the unit, that is, the automatic generation control (AGC), is the process of increasing or decreasing the power of the power generation unit by the power plant unit according to the dispatching command issued by the power grid dispatching center, and then using the frequency modulator to restore the frequency. Based on the principle of AGC, this paper establishes a frequency dynamic response model of the secondary frequency modulation of the traditional unit and the wind storage participation system including load frequency control (LFC) and traditional proportional-integral-derivative (PID) controllers, determines the frequency modulation control strategy of wind storage, and uses the distribution mode based on Area Control Error (ACE) signal to assist in the secondary frequency modulation. In order to solve the parameter optimization problem of the classical PID controller when the wind-storage combined system participates in the secondary frequency modulation under the large load disturbance, a parameter optimization model of the controller with PID was established, and the ITAE evaluation index was finally selected as the fitness function by comparing different fitness evaluation indexes. To overcome the problem that the conventional Particle Swarm Optimization (PSO) is prone to local extremum, the inertia weights and learning factors are adjusted nonlinearly to balance and optimize the global and local optimization capabilities and improve the search efficiency, and the parameters of the PID controller are optimized by the improved PSO algorithm. The simulation results show that the proposed algorithm improves the secondary frequency modulation effect under the background of a high proportion of renewable energy connected to the power grid.
Optimized control of hybrid energy storage systems for microgrids
Authors: Zhang Mengyu , Gai Di , Ma Shizhe , Liu Chuanbo , Liu Guanhua , Wang Jialei , Han Yishu , Bai Yuanlong , Lv Jiaolong , Ming Xin 
Published: September 2024

Abstract
The development of new energy sources is considered to be one of the important ways to solve the current energy shortage problem. Clean energy sources such as wind and light have attracted much attention. Still, the volatility and uncertainty of their output power create difficulties for the large-scale connection of the system to the power grid. Based on the microgrid system, this paper focuses on the energy optimization control problem of storage batteries and supercapacitors. A low-pass filter is used based on the charge state SOC expressed as a formula. The working state of the supercapacitor charge is divided into five regions, with each region having a corresponding reference value for output power correction. The capacity optimization model of the hybrid energy storage device is constructed, and the Gaussian variational quantum particle swarm algorithm (GM-QPSO) is used to optimize the capacity of the hybrid energy storage device. It is found that the capacity optimization method proposed in this paper not only improves the stability of the operation of the system but also ensures the overall economy of the system.
A decoupling estimation method for baseline load of photovoltaic user clusters based on multidimensional abnormal data restoration
Authors: Ju Moxin , Tang Weining , Liu Baoming , Zhang Yue , Liu Yang , Liu Lu , Liu Lijun , Liu Zhaorui 
Published: September 2024

Abstract
With the widespread installation of distributed photovoltaics, their fluctuation characteristics with weather changes have posed significant challenges to baseline load estimation. In addition, due to measurement and collection anomalies, it is easy to cause continuous missing and abnormal data collection. To address the issue of low baseline estimation accuracy caused by distributed photovoltaic fluctuation characteristics and abnormal data collection, this paper proposes a photovoltaic user cluster baseline load decoupling estimation method based on multi-dimensional abnormal data repair. Firstly, a multidimensional anomaly data repair system is established based on extreme learning machines and multi-step prediction. Secondly, using the repaired data for baseline estimation, photovoltaic users and non-photovoltaic users are decoupled and separated. Long short-term memory neural network estimation models are used for non-photovoltaic users, and baseline load estimation methods based on weather type analysis are used for photovoltaic users. Finally, the baseline results are accumulated. The simulation results show that compared with the direct estimation method of baseline load, the accuracy of decoupling estimation has improved by 33.7%.
Finite element simulation of electric field of new T-junction tower for transmission line
Authors: Wang Lihuan , Li Chu 
Published: September 2024

Abstract
With the development of various fields in China, users have higher and higher requirements for power reliability. In order to improve the reliability of 110 kV transmission lines, a new type of cross-arm T pole tower comes into being. This paper introduces the technical method of the new T-connected pole tower, the finite element method of electric field analysis, the process of electric field simulation, and the numerical simulation of finite element modeling of the new T-connected pole tower, and draws the conclusion that the AC electric field simulation calculation based on the finite element analysis software COMSOL is effective and feasible.
Energy dissipation methods and protection device synergy strategies for offshore wind power receiving end surplus power
Authors: Fan Linzhen , Zhao Zheng , Xiong Lingfei , Chen Siqi , Gang Mingze , Zheng Kuan , Chen Qichen , Zhang Yiming , Dai Lilei 
Published: September 2024

Abstract
Firstly, a theoretical analysis of the fault ride-through scheme is carried out based on the land-side AC faults in the offshore wind power delivery system. According to the topological structure of the DC energy consumption device, the working mode and switching of the DC energy consumption device are analyzed and studied. Secondly, the DC protection action of offshore wind power flexible and direct transmission systems was studied, and the switching strategy of energy-consuming devices was determined. Then the impact of the switching of the energy-consuming device on the DC protection function was studied, focusing on the synergy between the DC overvoltage protection and the switching judgment voltage of the energy-consuming device. Finally, based on a typical offshore wind power flexing project, a system model is built in PSCAD/EMTDC to verify the effectiveness of the proposed synergy strategy.
Mechanical and anti-icing performance of superhydrophobic aluminum conductor by anodized oxide technique
Authors: Li Bo , Jie Bai , Zeng Huarong , Dai Xu , Xiao Jie , Hua Xujiang , Zhao Yingying , Li Yingming , Yuan Yuan , Liao Ruijin 
Published: September 2024

Abstract
Anodized oxide technology is a traditional surface treatment method used in the material engineering field to enhance the friction, anti-icing, anti-corrosion, and insulation properties of Al-based samples. Considering the anti-icing and insulation performance, anodized oxide technology has great application prospects in overhead transmission lines. In this study, the preparation process of Aluminum (Al) flat plates and Aluminum Cable Steel-Reinforce (ACSR) was explored by using anodizing technology to obtain superhydrophobic properties. Moreover, as the significant performance in the application of transmission lines, the mechanical performance (tensile strength) of Al conductors was evaluated to study the impact of anodized oxidation technology. The results show that anodized oxide technology can improve the tensile strength of aluminum clad steel bars and aluminum-stranded wires in ACSRs. In addition, the hydrophobicity and anti-icing performance of anodized wires can demonstrate potential application prospects in the field of anti-icing.
Transient stability analysis for LCL-filtered VSCs based on nonlinear decoupling
Authors: Ji Qingfeng , Chen Nan , Wang Tao , Jiang Shuting , Hu Yinjun , Chen Wei 
Published: September 2024

Abstract
This letter presents a coupling-factor-based nonlinear decoupling method to address transient dynamics in high-order nonlinear voltage source converters (VSCs), a less-explored area compared to their control strategy and small-signal stability. The nonlinear decoupling method divides the complex system into simpler cubic modes using coupling factors, facilitating the application of established transient stability analysis techniques. It applies this approach to analyze transient stability in LCL-filtered VSCs under faults, finding that certain bandwidth adjustments can negatively affect stability.
The Eighth Agria Conference on Innovative Vehicle Technologies and Automation Solutions, InnoVeTAS2024
Authors: Nagy Szilárd , Pokorádi László , Gödri István , Soltész László 
Published: September 2024

Even though the last few years were filled with all kinds of challenges for companies and universities; we are happy to host once again, the Eighth Agria Conference on Innovative Vehicle Technologies and Automation Solutions, also known as InnoVeTAS2024. This conference series was started as a subset event of the International Pneumobile competition, in order to make it more attractive to students and professors from a wide range of universities in Europe. Today, the InnoVeTAS conference has become an independent scientific forum, which is traditionally held in May.
This being the eigtht conference in the series; our event has become one of the major technical and scientific talks in Heves County! Additionally, we are now visible on the venue of Hungarian national conferences! In cooperation with IÓP Publishing, this year’s conference proceedings will also be the third time, that it will have been listed in the Scopus index, which is useful for high level researchers.
List of Honorary chairs, Scientific Committee, Editorial Committee, Organizing Committee, Invited Speakers, Organization Institution and Sponsor are available in this Pdf.
System Usability Analysis of Engineering Management Software
Authors: Soltész László , Berényi László 
Published: September 2024

Abstract
Supporting engineering processes requires a managerial approach as well. The usability and acceptance of the related procedures, tools, and software can significantly influence the performance of the company. The paper presents a case study of project management administration software at a multinational company. System Usability Scale was used to explore the satisfaction of the development experts in the field. The results show the need to develop the software and procedures, especially in the design of the administration process, to boost the engineering work.
The Effect of Air Density and Density Altitude on Landing Distance for Fixed Wing Aircraft
Authors: G.A.L. Younes Abdel Latif 
Published: September 2024

Abstract
This thesis is concerned with studying the factors that effect on landing distance for fixed wing span aircrafts. These factors are divided related to types and characteristics of aircrafts, pilot’s technique, runway surface conditions, weathering conditions, and other environmental factors. Among these factors that were analysed in details both Air Density and Density Altitude to determine the effect of each factor on landing distance for fixed wing span aircrafts, what is the impact’s percentage of factor? Also, to determine the extent impact of each on the other, and the factors that affect them.