bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Daily Load Curve Classification Based on Improved Fuzzy C-means Clustering Algorithm
Authors: Li Mingcong , Hu Heng , Shi Haoran , Wang Xi , Ye Lan , Zhou Feng 
Published: September 2023

Abstract
For the problem of severe unpredictability and three-phase unbalance of user demand in low-voltage distribution networks, a daily load curve clustering technique integrating the sparrow search algorithm (SSA) and the fuzzy C-mean clustering algorithm (FCM) is presented. The initial load data set is pre-processed to lessen the interference of classification results. The load characteristic index of the daily load curve is removed to produce a reduced dimensional data set. The clustering validity index is introduced to solve the optimal number of clusters, and the early warning mechanism of the sparrow search algorithm is adopted to improve the global search capability. These improvements are made to improve the sensitivity of the initial clustering center of the FCM algorithm and the problem of local optimum in the process of finding the optimum. The simulation used to validate the revised clustering algorithm’s accuracy and efficacy for daily load categorization is a reference for resolving the three-phase load unbalance issue.
Multi-channel and high-precision analog-to-digital converter chips for power grid detection
Authors: Liu Xiaolu , Shao Jin , Zhang Peng , Cui Guoyu , Qian Haifeng 
Published: September 2023

Abstract
This project focuses on the research of high-precision multi-channel analog-to-digital converter chips for power grid detection and system applications. There have been breakthroughs made in a series of key technologies, such as successive approximation ADC architecture, oversampling ADC architecture, and digital calibration technology. By combining it with multi-channel ADC to achieve high-precision multi-channel analog-to-digital converter design, it provides strong support for China to achieve autonomous and controllable high-precision multi-channel ADC chips and has extremely high application value.
Feature Extraction of Speech Signal Based on MFCC (Mel cepstrum coefficient)
Authors: Zhang Hongxing , Li Hu , Chen Wenxin , Han Hongjun 
Published: September 2023

Abstract
Smart power plant is to establish a modern energy power system to achieve safe, efficient, green, and low-carbon power generation. Its characteristics are that the production process can be independently optimized, the relevant systems can collect, analyze, judge, and plan their own behavior, and intelligently and dynamically optimize equipment configuration and its parameters. This paper focuses on the optimal recognition state of MFCC in smart power plants. In this paper, we propose that by changing the number of filters and the order of MFCC to view the expression effect of the final MFCC parameter, the evaluation index of the effect is “accuracy”, the evaluation index—accuracy in the neural network. In this paper, the network is built through a Python programming environment, and the comparative experiment is adopted to analyze the influence of each parameter on the speech information expression effect of MFCC parameters.
Fuzzy control based adaptive rotational inertia VSG grid integration research
Authors: Li Qijun , Liu Li , Wang Yanping 
Published: September 2023

Abstract
Compared with the traditional inverter grid-connected control strategy, virtual synchronous generator (VSG) has received attention because it can effectively reduce the current shock to the grid caused by load fluctuation during grid-connected process by adding rotational inertia and damping parameters. A fuzzy control scheme is added to the rotor equation of motion of VSG to establish fuzzy rules by finding the relationship between frequency fluctuation and rotational inertia during grid connection. To improve the immunity of the frequency converter to interference during grid connection, and then improve the stability of the output power in the grid-connection process. The feasibility of the proposed method is verified by simulink model construction for simulation and comparison with the conventional virtual synchronous generator system.
A Line Loss Separation Method Based on Topology-aware Correlations and Nonlinear Impedance
Authors: Li Tengbin , Chang Junchao , Qi Jiaqi , Yang Sen 
Published: September 2023

Abstract
Due to the varying order and hierarchical relationship of different meters on the same line, the variation pattern of line loss and electricity consumption is not obvious, making it difficult to separate them accurately. To address this issue, an innovative method for line loss separation based on topological relationship perception and nonlinear impedance is proposed. Firstly, based on the topology recognition algorithm, we identify the order of the electricity meters and the relationship between the father and child-level electricity meters. Then, using the principle of topology relationship, we accurately measure the impact of the father and child level electricity meters on the overall line loss electricity quantity. Combined with data difference and matrix difference methods, the fixed loss value is offset. On this basis, a sliding window method is used to draw the curve change of nonlinear impedance and loss of electricity quantity. By analyzing the approximate continuous relationship between electricity consumption and line loss rate through curves, the line loss electricity consumption can be effectively separated. The results indicate that the proposed method has a better performance compared to other methods.
Fast Frequency Control Strategy for Direct Drive Wind Turbines Considering the Suppression of Secondary Frequency Drop in the Power Grid
Authors: Bao Xianwen 
Published: September 2023

Abstract
Inertia and damping in the power system are important parameters in frequency regulation and oscillation suppression. Inertia will reduce the rate and amplitude of frequency changes after active power sudden changes. Damping in the system can effectively suppress low-frequency oscillations after grid disturbances. As the penetration rate of wind turbines increases, it will significantly reduce the effective inertia in the power grid and reduce the friendliness of wind power grid connection. To provide better frequency support for the power grid in the event of large disturbances in the power system, this paper proposes a fast frequency control strategy for wind farms that considers the suppression of secondary frequency dips in the power grid. The strategy combines frequency droop control with grid frequency bias control and evaluates the kinetic energy reserve online based on wind power prediction and hourly speed, thus balancing the frequency regulation and suppression of secondary frequency dips in the power grid. A 2.5 MW direct drive wind turbine simulation model was built based on the PSCAD simulation platform, verifying the effectiveness of the proposed comprehensive control strategy.
Monitoring information transmission topology of high voltage transmission line
Authors: Zheng Wenlei , Miao Chuanhui , Guo Zhigang , Han Jinfu 
Published: September 2023

Abstract
High-voltage transmission lines are long and may cross areas without mobile networks. The transmission tower is equipped with monitoring equipment. The monitoring information of the transmission tower located in the non-mobile network area is difficult to return. What topology is used for transmission is an important engineering problem. When the number of transmission towers passing through the area without a mobile network is large, the traditional information transmission topology design method based on engineer experience cannot be applied. Aiming at the urgent demand of monitoring information transmission of high-voltage transmission lines in strip-shaped non-mobile network areas, an information transmission topology design method based on a unidirectional layered search algorithm is proposed. Firstly, the objective function and constraint function are designed. Then the unidirectional layered search algorithm is used to realize the planning of communication nodes and complete the design of the information transmission topology. The simulation results show that compared with the traditional information transmission topology design method, the design method proposed in this paper is suitable for complex networks, and the transmission delay of the designed information transmission topology is small.
Improvement of FDR Methods for Identifying Defects of Jointed HV Cable
Authors: Luo Chuansheng 
Published: September 2023

Abstract
This paper considers frequency domain reflectometry (FDR) as an effective way to locate high voltage (HV) cable defects. The formula relating FDR to cable local equivalents impedance value is presented, and critical methods such as window function, frequency step, and bandwidth to process FDR data before Inverse fast fourier transform (IFFT) are also demonstrated. Finally, a multi-periods reflection analysis from the IFFT curve is introduced with illustrations from fields measurement to improve the identification of defects for cables with multiple joints.
Open capacity measurement and evaluation of n-1 security criteria considering distribution network dispatching security
Authors: Wang Weiyuan , Cheng Jinmin 
Published: September 2023

Abstract
In order to ensure the safety of distribution network dispatching, the open capacity evaluation, one of the distribution network operation and maintenance tools, is analyzed. Aiming at the shortcomings of traditional reactive power capacity evaluation that is too simple and cannot effectively handle multiple interconnected feeders, a new method is proposed to consider N-1 to establish security and network reconfiguration. Considering the safety factor and the minimum network loss, the open capacity is evaluated, and the interconnection switch is regenerated, which provides the best scheme for the maintenance of the distribution network. This model not only considers the power flow constraints during normal operation but also considers the switching operation constraints under fault conditions. It has the advantages of high solution quality and feasible calculation results. In order to solve the model, a two-level hybrid algorithm based on generalized Benders decomposition, a dichotomous approximation is proposed. The algorithm adopts the idea of upper approximation, lower test, and two-layer interaction. It continuously reduces the solution space through alternate iterations until the optimal solution is obtained. The test results of 22-node and 70-node systems verify the correctness and effectiveness of the model and algorithm in this paper.
A single-phase ground fault intelligent wire selection method based on an ant colony algorithm
Authors: Liu Kang 
Published: September 2023

Abstract
For the single-phase ground fault, which has the highest probability of occurrence in a 10 kV distribution network, the ant colony algorithm is combined with a neural network for fault line selection, and the algorithm is optimized. The study builds a 10 kV distribution network model in MATLAB and simulates the neutral ground fault. It compares the results of the optimized line selection algorithm, and the traditional line selection algorithm proves that the accuracy of the method in identifying faulty lines is significantly better than that of the traditional method.
Research on rural power grid planning method based on improved genetic annealing algorithm
Authors: Ye Linhao , Yang Zhengang 
Published: September 2023

Abstract
Current power grid planning mainly relies on planning experience in personnel selection schemes. Planning results of subjectivity are stronger, making the planning after the network loss difficult to meet the requirements. According to the above defects, research on rural power grid planning methods based on an improved genetic annealing algorithm is proposed. Using the directed graph, the operation mode of the rural power grid is analyzed, and the network load of different distributed power sources is calculated. The multi-objective programming model is established from two aspects of the economy and environmental protection of the rural power grid. The annealing algorithm is introduced in the crossover and mutation stage of the genetic algorithm. In the example experiment, the cost reduction of the improved genetic annealing algorithm is 57.45%, and the network loss rate is lower than that of the other planning methods, which makes the network power supply more reliable.
Power communication digital flow prediction method based on VMD-LSTM-SVM model
Authors: Wang Kai , Zhang Xu , Zhang Qian , Hao Meiwei , Yang Dandan 
Published: September 2023

Abstract
Under the current trend of abundant information on power business, large data concentration, and large flow explosion, aiming at the randomness, volatility, and uncertainty of massive flow of electric power communication network, a digital power flow prediction method based on VMD-LSTM-SVM model is proposed. The interaction between the values of each traffic index before and after time is considered. LSTM is used to process traffic data and make an accurate prediction of future traffic. The power communication network can make dispatch responses to possible communication congestion by using link resources according to traffic prediction results and ensuring the transmission quality of power service data.
220 kV grid optimization in Shengli Oilfield
Authors: Du Lei , Wu Yue 
Published: September 2023

Abstract
As an important oil industry base in China, Shengli oilfield has infrastructure supporting facilities for power generation, transmission, substation, and distribution. Based on the grid data, a BPA simulation model is built for the oilfield area, and a grid optimization scheme is proposed for the problems of the existing 220 kV grid in the Shengli oilfield. The simulation results show that the safety and stability of the oilfield grid are improved under the optimized scheme, which verifies the feasibility and effectiveness of the scheme.
Motorbike Vibrations Induced by Surface Irregularities in Road Pavements
Authors: Cavacece M 
Published: September 2023

Abstract
The author proposes a multi-axis equivalent mechanical system with two degrees of freedom on the horizontal plane and five degrees of freedom along the vertical axis to evaluate the accelerations on a motorbike’s seat using the state- space representation. The experimental investigations evaluate three types of routes to analyze the comfort vibrational of the motorcycle: paved roads with poor maintenance, road surface with crushed stone, and a road with an artificial bump. Experimental processing considers the gyroscopic and accelerometric signals to deduce the Euler angles. The error analysis evaluates the discrepancy between the accelerations predicted, using the calibrated multi-axis mathematical model, and those obtained in the experimental investigations. The multi-axis model estimates the vibrations on the seat induced by surface irregularities in road pavements. The mathematical prediction obtained by the multi-axis model and experimental investigations analyzes the accelerations in the resonance frequencies of the human spine between 4-12 Hz.
Supercritical water injection in a single cylinder research engine: a PIV study
Authors: Piras M , Marchitto L , Tornatore C 
Published: September 2023

Abstract
This work presents the experimental results of a fluid dynamic investigation to characterize the injection of supercritical water in the combustion chamber of an internal combustion engine. Particle Image Velocimetry (PIV) analysis is carried out in an optically accessible 2-stroke Diesel engine. A prechamber, equipped with two optical accesses is connected to the main cylinder through a tangential duct so that the piston stroke induces a swirled motion field with angular velocities typical of light duty engines for automotive application. The engine is equipped with an injection system for the production and injection of supercritical water, with the possibility to independently regulate the injection pressure, temperature, duration, and timing. Tests have then been carried out under different operating conditions to evaluate the impact of the fluid dynamics in the combustion chamber on the water spray. First, the airflow velocity field has been characterized at different engine crank train angles. The water spray has been macroscopically characterized for an injection temperature of 300°C and pressure of 30Mpa. Then, the supercritical water/air interaction has been explored, at different injection pressure, temperature, and Start of Injection (SOI) to provide global information in terms of spray morphology, tip penetration, and velocity vector distribution of the water droplets within the combustion chamber for different injection strategies.
Perspectives on research on laser driven proton-boron fusion and applications
Authors: Batani K. 
Published: September 2023

Abstract
Recent experiments with high-intensity lasers have shown record production of α-particles by irradiating boron-hydrogen targets. This opened the way to completely new studies on proton-boron fusion with multiple goals:
i) studies related to nuclear fusion. The proton-boron fusion reaction produces 3 α-particles and releases a large energy. It is considered an interesting alternative to deuterium-tritium fusion because it produces no neutrons, therefore no activation and radioactive wastes.
ii) generation of novel laser-driven α-particle sources. Laser-driven α-particle sources are promising for their potential high brightness while remaining compact. They could be used for multidisciplinary applications, including medical ones.
The COST Action CA21128 — PROBONO (PROton BOron Nuclear fusion: from energy production to medical applicatiOns) is the first international programme which aims at understanding the physics involved in laser-driven pB fusion, including the study of Equation of State of boron and boron compounds. Action's goals are to facilitate access to experimental infrastructures, maximize production of new knowledge, boost the career of young researchers by fostering opportunities for training, and finally interconnect researchers across countries building a well-organized community focused on pB research.
Fully 3D-printed tortoise-like soft mobile robot with muti-scenario adaptability
Authors: Sun Lechen , Wan Jingjing , Du Tianhao 
Published: September 2023

Abstract
Soft robotic systems are well suited to unstructured, dynamic tasks and environments, owing to their ability to adapt and conform without damaging themselves or their surroundings. These abilities are crucial in areas such as human-robot interaction, simplification of control system and weight reduction. At present, the existing soft mobile robots still have the disadvantages of single motion mode and application scenario, difficult manufacturing and low energy conversion efficiency. Based on the current shortcomings of soft robots, this paper designs and proposes a fully 3D-printed tortoise-like soft mobile robot with muti-scenarios adaptability. The robot uses a Bionic Tortoise Leg Actuator structure that enables simultaneous bending of the actuator in both directions, simplifying robot control and increasing the maximum bending angle achievable. In addition, a reconfiguration design solution has been proposed to enable the robot to implement two bionic modes for land and sea turtles, adapting to move on hard and soft surfaces and in water, enabling it to move in amphibious and complex environments. The performance of the pneumatic soft actuator is also improved by an improved Digital Light Processing method that enhances the maximum strain of the 3D printed soft material. The prototype was tested to give maximum movement speeds for different gaits and environments, demonstrating that the fully 3D printed tortoise-like soft-mobile robot designed in this paper is highly adaptable to multiple scenarios. The robot studied in this paper has a wide range of applications, with potential applications including navigation in a variety of domain environments, inspection of large underground oil and gas pipelines, and navigation in high temperature, high humidity and strong magnetic field environments or in military alert conditions.
Development of a hyaluronic acid—collagen bioink for shear-induced fibers and cells alignment
Authors: Palladino Sara , Schwab Andrea , Copes Francesco , D’Este Matteo , Candiani Gabriele , Mantovani Diego 
Published: September 2023

Abstract
Human tissues are characterized by complex composition and cellular and extracellular matrix (ECM) organization at microscopic level. In most of human tissues, cells and ECM show an anisotropic arrangement, which confers them specific properties. In vitro, the ability to closely mimic this complexity is limited. However, in the last years, extrusion bioprinting showed a certain potential for aligning cells and biomolecules, due to the application of shear stress during the bio-fabrication process. In this work, we propose a strategy to combine collagen (col) with tyramine-modified hyaluronic acid (THA) to obtain a printable col-THA bioink for extrusion bioprinting, solely-based on natural-derived components. Collagen fibers formation within the hybrid hydrogel, as well as collagen distribution and spatial organization before and after printing, were studied. For the validation of the biological outcome, fibroblasts were selected as cellular model and embedded in the col-THA matrix. Cell metabolic activity and cell viability, as well as cell distribution and alignment, were studied in the bioink before and after bioprinting. Results demonstrated successful collagen fibers formation within the bioink, as well as collagen anisotropic alignment along the printing direction. Furthermore, results revealed suitable biological properties, with a slightly reduced metabolic activity at day 1, fully recovered within the first 3 d post-cell embedding. Finally, results showed fibroblasts elongation and alignment along the bioprinting direction. Altogether, results validated the potential to obtain collagen-based bioprinted constructs, with both cellular and ECM anisotropy, without detrimental effects of the fabrication process on the biological outcome. This bioink can be potentially used for a wide range of applications in tissue engineering and regenerative medicine in which anisotropy is required.