bluuebunny/crossref_metadata_2025 huggingface dataset:
Microfluidic reservoir integrated with optimized screen-printed electrode for simultaneous detection of ascorbic acid and L-cysteine
Authors: Nair Parvathy , Amreen Khairunnisa , Ponnalagu R N , Goel Sanket
Published: September 2024

Biomarker detection is crucial in the healthcare industry as it gives important insights into the field of disease diagnosis, prognosis, and treatment. This work demonstrates a flexible carbon-based screen-printed electrode (CSPE) modified with carboxylic acid functionalized multiwalled carbon nanotube (MWCNT-COOH) for simultaneous detection of Ascorbic acid (AA) and L-cysteine (CySH). The electrochemical properties of the fabricated film are studied using the cyclic voltammetry and Amperometry technique. The MWCNT-COOH/CSPE showed good electrocatalytic activity for oxidation of CySH and AA. Favorable ionic interaction, or electrostatic attraction, between the analytes and MWCNT-COOH increased the detection capability. The fabricated electrode is incorporated with a microfluidic reservoir to hold the analyte that can separately detect AA and CySH using the device. The device is tested for a linear range of 0.01 mM–20 mM for both analytes. The detection limit for AA and CySH obtained using amperometry analysis is 3.07 µM and 5.72 µM, respectively. Also, the calculated quantification limits values are 9.11 µM and 17.3 µM, respectively for AA and CySH. Further, the device demonstrates appreciable results in both real sample analysis and interference analysis. The device, enabled with screen printed electrodes and microfluidic reservoir, opens a new method for simultaneous multiplexed detection enabling the detection of many different biomarkers on the same experimental setup.
Research on a novel non-uniform and asymmetric ultrasonic vibration system
Authors: Zhao Chongyang , Liu Yizhuo , Wang Zhenzhou , Han Jishan , Zhao Bo , Tang Jinyuan
Published: September 2024

A new type of non-uniform and asymmetric ultrasonic vibration system (UVS) is proposed and applied to the turning process. The research results show that the design theory of the non-uniform and non-symmetric UVS is accurate and reliable. The theoretical design frequency and modal simulation frequency error of ultrasonic vibration turning system is only 2.5%. The designed non-uniform and non-symmetric UVS has excellent vibration performance and stability, and the established simulation model can predict surface microtexture accurately. The vibration mode output by the non-uniform and non-symmetric UVS is longitudinal-bending vibration, and the actual vibration performance is excellent. Compared with conventional cutting, the addition of longitudinal-bending ultrasonic vibration under the same conditions can give the machined surface a microscopic textured structure, reduce surface roughness and water contact angle, and improve surface wettability. The minimum surface roughness obtained in the experiment is 1.005 μm. The orthogonal experiment results show that there is a correlation between the machining parameters, surface micro-structure parameters, surface wettability, and surface roughness.
A case study about a Hungarian online course on gravitational-wave astrophysics
Authors: Molnár András , Raffai Péter
Published: September 2024

We review the impact of an online course on gravitational-wave astrophysics aimed at high school students. We launched the video course in 2021 on the web page Webuni in Hungarian. Since then, there have been more than 300 participants attending the course. Our case study aimed to determine how well such a course can give an overall picture about the topic and to measure how the attitude of Year 9 and 10 students to physics change with their participation in the course. The data were collected from 22 students in the academic year 2021/2022 with surveys measuring the changes in knowledge and attitude towards physics. The students showed significant improvement in both lexical and conceptual knowledge by a factor of 2.2 in test-scores and found the course easy to follow (rated 4.2 out of 5). We observed significant change in attitude only towards ‘following of gravitational-wave related news and discoveries’, from 1.8 to 2.8 on a scale of 1–6. The participants considered that they enjoyed (4.3 out of 5), found useful (4.4 out of 5) and would recommend (4.4 out of 5) the course to others. Most of the students (92%) in the sample tested were from Hungary’s capital city and two thirds were girls, therefore our results are not representative of the Hungarian student population.
Quantitative evaluation of anti-biofilm cavitation activity seeded from microbubbles or protein cavitation nuclei by passive acoustic mapping
Authors: Keller Sara B , LuTheryn Gareth , Gray Michael D , Lyons Brian , Cleveland Robin O , Stride Eleanor , Coussios Constantin C
Published: September 2024

Objective. Bacterial biofilms represent a major challenge for effective antibiotic therapy as they confer physical and functional changes that protect bacteria from their surrounding environment. In this work, focused ultrasound in combination with cavitation nuclei was used to disrupt biofilms of S. aureus and P. aeruginosa, both of which are on the World Health Organization’s priority list for new antimicrobial research. Approach. Single species biofilms were exposed to ultrasound (0.5 MHz center frequency, 0.5–1.5 MPa peak rarefactional pressure, 200 cycle pulses, 5 Hz repetition frequency, 30 s duration), in the presence of two different types of cavitation nuclei. Quantitative passive acoustic mapping (PAM) was used to monitor cavitation emissions during treatment using a calibrated linear array. Main Results. It was observed that the cumulative energy of acoustic emissions during treatment was positively correlated with biofilm disruption, with differences between bacterial species attributed to differences in biofilm morphology. PCaN provided increased biofilm reduction compared to microbubbles due in large part to their persistence over the duration of ultrasound exposure. There was also good correlation between the spatial distribution of cavitation as characterized by PAM and the extent of biofilm disruption observed with microscopy. Significance. Collectively, the results from this work indicate the potential broad applicability of cavitation for eliminating biofilms of priority pathogens and the opportunity presented by PAM for real-time monitoring of antimicrobial processes.
A clustering tool for generating biological geometries for computational modeling in radiobiology
Authors: Ortiz Ramon , Ramos-Méndez José
Published: September 2024

Objective. To develop a computational tool that converts biological images into geometries compatible with computational software dedicated to the Monte Carlo simulation of radiation transport (TOPAS), and subsequent biological tissue responses (CompuCell3D). The depiction of individual biological entities from segmentation images is essential in computational radiobiological modeling for two reasons: image pixels or voxels representing a biological structure, like a cell, should behave as a single entity when simulating biological processes, and the action of radiation in tissues is described by the association of biological endpoints to physical quantities, as radiation dose, scored the entire group of voxels assembling a cell. Approach. The tool is capable of cropping and resizing the images and performing clustering of image voxels to create independent entities (clusters) by assigning a unique identifier to these voxels conforming to the same cluster. The clustering algorithm is based on the adjacency of voxels with image values above an intensity threshold to others already assigned to a cluster. The performance of the tool to generate geometries that reproduced original images was evaluated by the dice similarity coefficient (DSC), and by the number of individual entities in both geometries. A set of tests consisting of segmentation images of cultured neuroblastoma cells, two cell nucleus populations, and the vasculature of a mouse brain were used. Main results. The DSC was 1.0 in all images, indicating that original and generated geometries were identical, and the number of individual entities in both geometries agreed, proving the ability of the tool to cluster voxels effectively following user-defined specifications. The potential of this tool in computational radiobiological modeling, was shown by evaluating the spatial distribution of DNA double-strand-breaks after microbeam irradiation in a segmentation image of a cell culture. Significance. This tool enables the use of realistic biological geometries in computational radiobiological studies.
Superconducting cable with energy storage function and its potential for next-generation power system compatible with large-scale renewable energy installation
Authors: Higashikawa Kohei , Kiss Takanobu , Kitaguchi Hitoshi , Hirano Naoki , Hayashi Kazuhiko , Muyeen S M
Published: September 2024

The mass introduction of renewable energy is essential to realize a sustainable society. On the other hand, when photovoltaic (PV) and wind power generation are used as main power sources in a power system, it is indispensable to compensate for their severe output fluctuations up to the rating of the power system; however, this is difficult to achieve with conventional energy storage devices alone. To solve this problem, we have proposed a superconducting cable with energy storage function and its use in a DC power system. This cable provides large inertia to the power system without the need for additional energy storage equipment; as a result, the power system itself become capable of high-speed and high-power compensating operations for output fluctuations from renewable energy sources. This paper summarizes our recent works on this research topic: an overview of the proposal, conceptual design of the cable, experimental verification of the principle, and positive effects on the energy use efficiency of renewable energy. For example, an experiment with the use of a small model cable showed the capability of high-speed charge–discharge operations at a high power up to the rating of the microgrid. It was also showed that such a function was indispensable for real-time use of electric power from PV power generation resulting in significant enhancement of energy use efficiency of renewable energy. These results suggest that this concept hold the key to next-generation power systems enabling massive use of renewable energy in the future society.
Evaluation of single silicon vacancy centers in nanodiamonds created by ion implantation at cryogenic temperatures
Authors: Shimazaki Konosuke , Suzuki Kazuki , Sakamoto Kengo , Okashiro Yudai , Abe Hiroshi , Ohshima Takeshi , Takashima Hideaki , Takeuchi Shigeki
Published: September 2024

Silicon vacancy (SiV) centers in diamonds have attracted much attention because of their stability and narrow emission linewidth, and are promising for applications in quantum information technology. SiV-center-encapsulated nanodiamonds have also attracted much attention because of their potential to be coupled to various photonic devices. One efficient way to fabricate nanodiamonds that contain SiV centers is Si ion implantation into nanodiamonds. However, the evaluation of a single SiV center in a nanodiamond produced by this method at low temperatures has not been performed. In this study, we report on the optical properties of a single SiV center in a nanodiamond produced by ion implantation at cryogenic temperatures. The emission spectrum from a single SiV center (

g
2

(
0
)
=
0.19

) was observed with four distinct fine splittings of the zero-phonon line (ZPL) at 4 K. At an excitation power of 50

μ

W, the full width at half maximum of the ZPL reached the spectrometer resolution limit (0.09 nm). The temperature dependence of the emission peak is consistent with that of the emission coming from an SiV center under high strain. The results obtained in this work suggest that nanodiamonds containing single SiV centers formed using this method will be an important building block for the realization of quantum information applications.
Bipolar complex fuzzy near rings
Authors: Rehman Ubaid ur , Alnefaie Kholood , Mahmood Tahir
Published: September 2024

In this article, we devise the novel concept of bipolar complex fuzzy (BCF) near rings (BCFNR), to fill a momentous research gap in connection of bipolar complex fuzzy sets with the theory of near rings in the existing literature. We expand the theory of near ring into the structure of BCF set (BCFS), offering a more suitable approach for the representation of algebraic systems with inherent ambiguity, bipolarity, and 2nd dimension information. Further, we introduce the concept of the bipolar complex fuzzy sub-near ring (BCFSNR), bipolar complex fuzzy left ideal (BCFLI), bipolar complex fuzzy right ideal (BCFRI), and bipolar complex fuzzy ideal (BCFI) in the near ring. After that, we prove the related theorem and results of these devised concepts. We also introduce theorems based on the homomorphism theory and Noetherian theory of near rings within the frame of bipolar complex fuzzy near rings. At the end of the manuscript, we reveal the application of BCFNRs in decision-making (DM) and illustrate it through an example.
Green synthesis and antimicrobial study on the catechin-functionalized Fe3O4-Ag magnetic nanocomposites
Authors: Liu Shengkai , Chang Cheng , Chen Boyu , Song Han , Fan Jiashen , Fu Yujie , Liu Zhiguo
Published: September 2024

In this study, catechin-functionalized Fe3O4-Ag nanocomposites were synthesized by a hydrothermal method. The motivation for this study was to develop a novel antibacterial agent with enhanced stability and biocompatibility. The objective was to create a nanocomposite combining the antimicrobial properties of silver with the antioxidant and bioactive characteristics of catechin. We hypothesized that the synergistic effect of catechin and Fe3O4-Ag would yield a highly effective antibacterial material against common pathogens. The obtained nanocomposites were characterized by TEM, SEM, AFM, XPS, XRD, FTIR and physical property measurement system (PPMS). TEM images indicated that catechin-functionalized Fe3O4-Ag nanocomposites have a spherical morphology with an average size of 25.7 nm. The SEM and AFM imaging revealed that the nanocomposites appear as a number of large particles with average diameter of 581 nm. XPS and XRD and FTIR measurement confirmed the presence of catechin components, Fe3O4 and Ag in the nanocomposites. Taken together, we conclude that the catechin-Fe3O4-Ag nanocomposites in this study have a jujube cake structure in which the Fe3O4-Ag alloy nanoparticles serve as the jujube and the condensed catechin form into the cake substrate. The antimicrobial test indicated the catechin-functionalized Fe3O4-Ag nanocomposites have obvious inhibitory effects on E.coli, S.aureus, and C.albicans.
Development of ANN model for predicting mechanical properties of 3D printed PEEK polymer using FDM and optimization of process parameters for better mechanical properties
Authors: Borah Jyotisman , Chandrasekaran M
Published: September 2024

Additive manufacturing (AM) has evolved from a proven technology to a rapid prototyping tool with great potential. This technology is widely used in many industries such as automotive, aerospace, and medical; fused deposition modeling (FDM) is a popular 3D printing technique for producing PEEK (polyether ether ketone) parts, including implant prosthetic teeth. In this study, artificial neural network (ANN) modeling, parametric optimization, and experimental examination of PEEK 3D printing were conducted to enhance 3D printing processes. In this study, four critical process factors (infill density, layer height, printing speed, and infill pattern) influence the surface roughness, mechanical strength, and elastic modulus of the printed samples. Utilizing a 4–12–3 network design, this study demonstrates that an ANN model with an average error of less than 5% is optimal for all three responses. Furthermore, the study employed a teaching and learning based optimization algorithm (TLBO) and a non-dominated sorting genetic algorithm (NSGA) to optimize the printing process to obtain improved mechanical properties. The findings highlight TLBO’s ability to minimize surface roughness to 6.01 μm and NSGA’s capability to maximize the elastic modulus to 1253.35 MPa and ultimate tensile strength to 65.55 MPa. Microstructural studies supported the results obtained through parametric analysis and optimization.
A new approach on constitutive modeling for quasi-brittle materials under multiaxial loading
Authors: Guo Yadong
Published: September 2024

This work introduces a new method for expanding unidimensional models to predict material behavior under multiaxial loading. The concept of six-dimensional mechanical space is adopted, and in each basis direction of the space, there is one fiber-bundle model (FBM), so these six FBMs are independent amongst one another but follow the same damage evolution rule. Under triaxial loading, these FBMs have different stress and strain states, so six corresponding damage variables have different values. The anisotropic damage is thus represented by the six damage variables. When it is under uniaxial loading, the six-dimensional space reduces to one-dimensional space, so the proposed model can be calibrated using uniaxial loading test data, and the calibrated model can predict the material behavior under multiaxial loading conditions. Biaxial loading and triaxial loading test data are used to verify the proposed model, and parametric analyses are performed to analyze model predictions under different loading conditions. It shows that model predictions agree well with the test data and are consistent with experimental observations.
Collective oscillations in a three-dimensional spin model with non-reciprocal interactions
Authors: Guislain Laura , Bertin Eric
Published: September 2024

We study the onset of collective oscillations at low temperature in a three-dimensional spin model with non-reciprocal short-range interactions. Performing numerical simulations of the model, the presence of a continuous phase transition to global oscillations is confirmed by a finite-size scaling analysis, yielding values of the exponents β and ν compatible with both the three-dimensional XY and Ising equilibrium universality classes. By systematically varying the interaction range, we show that collective oscillations in this spin model actually result from two successive phase transitions: a mean-field phase transition over finite-size neighborhoods, which leads to the emergence of local noisy oscillators, and a synchronization transition of local noisy oscillators, which generates coherent macroscopic oscillations. Using a Fokker–Planck equation under a local mean-field approximation, we derive from the spin dynamics coupled Langevin equations for the complex amplitudes describing noisy oscillations on a mesoscopic scale. The phase diagram of these coupled equations is qualitatively obtained from a fully-connected (mean-field) approximation. This analytical approach allows us to clearly disentangle the onset of local and global oscillations, and to identify the two main control parameters, expressed as combinations of the microscopic parameters of the spin dynamics, that control the phase diagram of the model.
Grid-connected virtual synchronous generator transient suppression based on proportional differential control and frequency low-pass filtering
Authors: Fu Shiyang , Tian Yan , Fang Jian , Yin Kuang , Qin Yu , Zhang Min , Chen Wei
Published: September 2024

The virtual synchronous generator (VSG) technology has a wide range of applications in various distributed generation units. However, sudden changes in power command at grid connection can lead to severe oscillations in the output power and frequency of virtual synchronous generators. In addition, existing oscillation suppression methods are either based on complex parameter designs or change the original inertial support characteristics and power frequency drop characteristics. In this paper, a new transient suppression method is proposed, i.e., a proportional differential controller is added behind the power error and an additional low-pass filter is placed behind the output frequency. Finally, by establishing a simulation platform, it is verified that the proposed scheme can greatly reduce the overshoot, regulation time and frequency offset of the active power.
Flexible DC transmission line fault type identification scheme based on Pearson correlation coefficient
Authors: Gao Chang , Wang Sihua
Published: September 2024

Faults occurring on the DC side of the line are very harmful to the MMC-MTDC system, and with the popularization of flexible DC transmission technology based on overhead lines, how to discriminate the type of fault is the difficulty of MTDC DC line protection. This paper gives a fault kind identification approach based totally on the Pearson correlation coefficient, which discriminates the fault kind with the aid of calculating the Pearson correlation coefficient of the line voltage at each pole after the fault.
Pilot protection based on mode distance for transmission line connected to renewable energy station
Authors: Li Weitao , Jia Ke , Bi Tianshu
Published: September 2024

Affected by the inverter control strategy, fault characteristics of the wind turbine are essentially different from the traditional synchronous power supply, leading to a decrease in sensitivity and even rejection of traditional differential protection. In view of the above problems, this paper studies the fault current waveform distinction between the wind turbine and the synchronous power supply, and uses the mode distance to measure the current waveform difference. The simulation experimental system is built and the results show that the mode distance can reliably identify the faults in and out of the area in various fault scenarios, effectively working out the kinks of the degradation of the differential protection.
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Scintillation index and outage probability of vortex Gaussian beams for horizontal links in weak atmospheric turbulence
Authors: Gerçekcioğlu Hamza , Baykal Yahya
Published: September 2024

Using the Rytov method, the off-axis scintillation index for a Gaussian vortex beam is examined in horizontal laser communication links operating in a weakly turbulent atmosphere. The performance of laser communication systems, defined in this study by the outage probability, is evaluated using the lognormal distributed intensity to find the scintillation index. The off-axis scintillation index of vortex Gaussian beams is analytically derived and evaluated in horizontal atmospheric links. The scintillation index obtained from the figures drawn versus the source size and propagation length is used to calculate the outage probability. It is found that turbulence affects vortex Gaussian beams less than non-vortex Gaussian beams. Our important finding is that the scintillation index is reduced when the topological charge increases.
The impact of land use change on food security under the background of rapid urbanization - a case study of Xiamen city
Authors: Zhang Tianhai , Sun Wenqing , Xiao Jiangtao , Yan Guanfeng
Published: September 2024

China has undergone a long period of rapid urbanization from 2000 to 2020, resulted in huge conversion of arable land into built-up areas. This situation has raised concerns regarding food security, including issues like reduced food supply and challenges to achieving food self-sufficiency, particularly in certain regions and during special period. To address these issues, this study focuses on Xiamen, a rapidly urbanizing coastal city in China, and examined both the food supply and demand. On hand of the supply, this study mainly analyzed the attributes of the food availability, indicators like the food production (FP) of the ecosystem service value (ESV), per capita grain production, imports and exports along with food price were calculated. The findings revealed a significant expansion of built-up areas in Xiamen, mostly at the expense of arable land. The declining arable land coupled with population growth due to rapid urbanization contributed to a decrease in per capita grain production, drop to 6 kg in 2018, which is merely 1% of China’s average. A comparison of per capita grain production across various regions, as well as changes in China’s grain import and export, highlighted a notable discrepancy between urbanization rates and food security in Xiamen. It has become challenging for Xiamen to rely on outside for sustained food import. Therefore, it is imperative for Xiamen to implement a range of measures and policy interventions to ensure a certain level of food self-sufficiency and protect basic arable land.