bluuebunny/crossref_metadata_2025_split huggingface dataset:
Low-carbon economic dispatch of integrated energy system considering carbon trading and integrated demand response with CCER
Authors: Wei Nan , Jia Yanbing , Tao Hongfei , Yan Zhikun , Chen Junxian 
Published: December 2022

Abstract
Under the background of ‘double carbon,’ to promote the transformation of generating units to new energy power generation in an integrated energy system and better realize carbon trading functions, the paper gives a carbon trading model considering CCER and a low carbon economy scheduling model considering joint demand response. First, consider the nationally certified voluntary emission reductions for wind power applications in the traditional carbon trading model, and improve the benefit of investment in renewable energy projects to strengthen the conversion of traditional energy structures to new energy structures while reducing the amount of carbon emissions in the system. Second, price-based and alternative responses are introduced on the user demand side to accurately model and optimize the load curve. The model is solved by using the CPLEX solution toolbox, and the correctness of the given model is proved by simulation.
Energy storage capacity configuration in multi-energy complementary systems
Authors: Ding Yafei , Shen Xuhui , Song Yunting , Li Zheng , Cao Hao 
Published: December 2022

Abstract
To solve the problems of high peak shaving pressure, low energy utilization rate and poor economy of the multi-energy complementary system caused by the integration of wind and solar power into the grid, the research builds a two-layer optimization model of energy storage and routine power peak shaving based on the predicted output and load of wind and solar power on a typical day. The outer layer aims at the maximum annual net profit of the muit energy complementary system, and the inner layer aims at the lowest daily operating cost. The improved PSO and nonlinear programming are used to coordinate and solve the problem to determine the multi-energy complementary system’s intra-day peak-shaving scheduling method, which is reasonable and reasonable. Finally, an example of an actual power grid is analyzed, and the results show that the multi-energy complementary system after optimal configuration of energy storage can greatly raise the level of new energy consumption and has good economy.
Research on Application of High-Frequency Coupler in Monitoring Unit of Circuit Patrol Monitor
Authors: Guo Fei , Li Hui , Ma Chao , Meng Wei , Chen Jianwei , Wang Qingquan 
Published: December 2022

Abstract
In recent years, power electronics industries have developed rapidly, and new electromagnetic materials have been continuously used. As the core component of electronic components, the high-frequency coupled magnetic core is the main component in the manufacture of current transformers and other devices. In this paper, we have developed a monitoring unit for circuit patrol monitor. It uses materials owning broadband, constant conductance, and low loss as the magnetic core of the high-frequency coupler, which improves the accuracy of loop state monitoring. The monitoring unit can realize the accurate identification of normal connections, open circuits, short circuits, and loop rectification of the transformer under different loads, provide a scientific basis for industrial and commercial power quality monitoring, and regulate the user’s electricity consumption behavior.
Analysis of Unit Commitment of Coal-fired Units in a Power Base of Cross-area DC Transmission Lines Under Dual Carbon Targets
Authors: Yuhan Liu , Zhulei  , Zhong Chen , Liang Chen , Yuanchen Wang , Qishuai Huang 
Published: December 2022

Abstract
China has announced achieving a carbon peak before 2030 and neutralization by 2060. Cross-area UHVDC transmission provides a feasible way for the new energy base to transmit power to the load center on a large scale. Usually, the dispatching of coal power units of DC transmission line power base is divided according to the equal proportion of unit capacity, this paper takes all the units as a group and proposes a unit commitment solution to realize lower carbon emission. As the capacity of new energy in the power base increases, this paper also considers the generation margin for new energy to do the optimization simulation. The results show that by operating coal-fired units as a group, it operates in a more economic and environmentally friendly way.
Temperature field analysis of dry iron core reactor
Authors: Liu Jiaming , Zhao Yanzhen 
Published: December 2022

Abstract
The hot spot temperature of a dry-type iron core reactor is important for its pre-design and optimal design. To precisely study the hot spot temperature and temperature distribution law of dry iron core reactor, this paper firstly studied the loss of reactor, including coil loss and core loss, and obtained the calculation method of reactor loss. Then, the normal working environment of the dry core reactor is analyzed, and the temperature field simulation is carried out for a three-phase dry core reactor with an inductance value of 11.561 mH and capacity of 10 kV, and the hot spot temperature and temperature distribution law of this reactor are obtained and analyzed through reasonable material setting and heat dissipation method setting. Finally, the accuracy and validity of the simulation results are verified by the actual temperature rise experimental data. The research results provide a theoretical basis for structure optimization and online monitoring of the dry core reactor.
Research on Electromagnetic Disturbance Characteristics of Mining Frequency Converter Based on Frequency Domain Analysis
Authors: Lu Yujia , Sui Longpeng , Dong Leiming , Jiao Chaoqun , Zhao Zhibin , Zhang Xiumin , Jia Xiaoqian 
Published: December 2022

Abstract
With the continuous improvement of the technical level of coal mine equipment, low-voltage converters have been used in many types of underground electromechanical equipment because of their energy-saving and high-efficiency features. However, low-voltage mining converters generate a lot of electromagnetic disturbances during operation, which may cause the surrounding electrical equipment to work abnormally. Therefore, it is important to study the electromagnetic disturbance characteristics in the frequency domain of the mining converter. This paper takes a typical ZJT series mining low-voltage AC converter as the research object, models and simulates the whole mining converter and its main interference source IGBT, and analyses and compares the measured electromagnetic harassment data to obtain the electromagnetic harassment trend characteristics of IGBT in the converter, which is of certain guiding significance for the development of immunity test standards of the equipment or system around the mining converter.
Research on Identification and Regulation of Power Load Characteristics Considering Demand Side Response
Authors: Yang Jing , Deng Zhidong , Liu Kunpeng , Gong Lihua 
Published: December 2022

Abstract
Due to the uncertainty of distributed generation output, it will cause some interference with the identification and regulation of load characteristics on the demand side, which is not conducive to improving the net load characteristics. To solve this problem, the identification and regulation methods of user power load characteristics considering demand side response are studied. When the user load demand is high, the demand response generated by the electricity price incentive has a greater regulating effect on the transferable load. According to the transient and steady-state characteristics of the load, the real-time data of electrical equipment are identified, and the composition and change of the user’s electrical load characteristics are obtained. At the beginning of the regulation period, the power enterprise receives the load characteristics on the demand side according to the user demand, determines the charging state and operation time of the power grid, and implements the operation of power consumption, idling, or discharging to minimize the cost. The test results show that this design method can accurately identify the load characteristics, and has a good effect in transferring peak load and alleviating peak valley difference, which provides a basis for users’ power use decisions.
Design of a Modular High-Accuracy, High-Voltage Charging Power Supply Prototype
Authors: Zhang Yuqiang , Shangguan Jingbin , Gao Daqing , Gao Jie 
Published: December 2022

Abstract
In order to realize the upgrade of the Kicker system for the Heavy Ion Research Facility in Lanzhou, the design of a modular high-accuracy, high-voltage charging power supply based on a full-bridge LC series resonant topology was proposed. More specifically, the parametric design of one of the modules, including the main circuit and transformer design, was introduced, and the realization principle of high precision was proposed. After simulation verification, a 35 kW/80 kV charging power supply prototype was developed. The experimental result shows that the power supply’s output voltage can be adjusted between 0~80 kV, and the output accuracy is better than 1‰.
Study on Technical Parameters of X-ray Stereoscopic Imaging of Ablative Defects for Water Blocking Buffer Layer in High Voltage Cable
Authors: Xie Yi , Liu Jianjun , Feng Chao , Zhang Jun , Liu Sanwei , Chen Dabing 
Published: December 2022

Abstract
In this paper, the technical parameters of the X-ray stereoscopic imaging of the ablative defects of water blocking buffer layer in the high-voltage cable are studied by theoretical analysis and laboratory experiment. The works give technical recommendations about the voltage, current, and sampling volume, which provide a reference for the standardization of the technical parameters of X-ray stereoscopic imaging of ablative defects of the water-blocking buffer layer in the high-voltage cable.
Calculation Method of Consumption Capacity of Photovoltaic Distribution Network Based on Time Series Production Simulation
Authors: Huang Kai , Jiao Bo , Zhang Shibiao , Liu Hongliang , Sun Lin 
Published: December 2022

Abstract
Aiming at the problem that the existing calculation methods have a big difference in the calculation results and the actual calculation results, in order to improve the accuracy of the calculation results, the time series production simulation theory is introduced, and the calculation method of the consumption capacity of photovoltaic distribution networks is studied. According to the actual operation of the distribution network, this paper adjusts the power supply pattern of the photovoltaic distribution network; then, this paper checks the frequency regulation capacity of the photovoltaic distribution network; finally, the time series production simulation is introduced to simulate the production of the photovoltaic distribution network with the absorption capacity. The comparative experiment shows that the new calculation method is more accurate than the existing calculation method based on uncertainty optimal power flow, and it can provide a data basis for the planning and construction of photovoltaic distribution networks.
Research on Micro-Water Treatment Technology of High-Voltage SF6 Equipment without Power Failure
Authors: Tang Xin , Chen Changlei , Yang Xin , Liu Weidong 
Published: December 2022

Abstract
With the frequent occurrence of high-voltage SF6 equipment-related problems in recent years, the exceedances of micro-water content and decomposition products of SF6 and other problems are getting increasingly worse. The routine solution involves multiple processes, including powering off the equipment, recovering the SF6 gas in the equipment, flushing, injecting new SF6 gas, and conducting the voltage withstand test, which requires a huge number of manpower and material resources. Besides, the operating process is risky, and power cutting and re-supplying increase the operational risk and impair the reliability of the grid in the power supply. This paper mainly explores an efficient, safe, and intelligent online SF6 purification technology, which can achieve the online detection and purification of SF6 micro-water and impurity gases when the high-voltage SF6 equipment is powered on and make the purification units’ renewable. Applying this technology can prevent the power cut of high-voltage power supply equipment, thereby making sure that the grids are safe. It is also environmentally friendly as it can reduce the usage of SF6 gas.
Research on energy-saving operation optimization of urban rail trains based on genetic particle swarm hybrid algorithm
Authors: Zou Yao , Wang Ruifeng 
Published: December 2022

Abstract
In order to effectively reduce the energy consumption of urban rail trains during station-to-station operation, an energy-saving optimisation method for train operating curves is proposed by introducing a genetic algorithm (GA) into a particle swarm algorithm (PSO).Firstly, under the premise of considering the train characteristic parameters and the speed limit conditions of the line, the energy consumption model is established with the constraints such as speed limit, running time and running distance; secondly, the particle swarm algorithm is improved by using inertia weights and learning factor, and the cross-variance operator of genetic algorithm is introduced to verify that the improved algorithm improves convergence speed, global optimization ability and local search ability. The speed-distance operation curve that uses the least amount of energy between stations is then derived by solving the energy-saving operation energy consumption model of the train using the GAPSO algorithm. According to the simulation results, the approach can successfully cut operational energy consumption by 11.46% while still ensuring punctual arrival and exact stopping, which offers a workable solution for the best-case scenario design of energy-saving train operation curves.
Application Research of Inspection System Based on Intelligent Wearable Device in Communication Power Inspection
Authors: Cheng Keren , Li Yang , Yang Wenye , Liang Kai , Jiao Zhen , Song Xuechuan 
Published: December 2022

Abstract
In order to effectively reduce the difficulty in communication power inspection and further improve the inspection efficiency of inspectors, this paper designs an inspection system based on smart wearable devices. Firstly, based on the analysis of the inspection task requirements of the communication power inspection, the overall structure of the wearable device intelligent inspection system is constructed, and the application of the wearable device intelligent inspection system in power engineering is studied; secondly, according to the inspection situation of the inspection personnel in the traditional inspection method, the key technical composition of the multi-functional inspection intelligent observation wearable lens is designed, and the key texture feature extraction technology of the communication power supply is used to locate the specific image target in the inspection process, and detect the local area. The abnormal sound is discharged, abnormal sound training and identification are completed, and intelligent inspection of the communication power supply is realized. Finally, it is verified by test experiments that the inspection system based on smart wearable devices designed in this paper can realize information transmission, task configuration, and data access in communication power inspection, with high work efficiency.
Short-term Power Load Forecasting Based on Improved BP Neural Network from Genetic Algorithm and Simulated Annealing Algorithm
Authors: Zhong Licheng , Wang Yulu 
Published: December 2022

Abstract
As one of the common methods of load forecasting, the traditional BP neural network algorithm has been favored by scholars for many years due to its strong learning ability and adaptive ability, and is often used by scholars to forecast power load. However, BP neural network also has its own shortcomings, that is, low algorithm efficiency, local minimization and other problems. In this paper, GA algorithm and SA algorithm are used to modify the weights of BP neural network, and a short-term load forecasting model, namely BP-GSA model, is established. The least mean square error prediction model is obtained through training. Then using BP-GSA model and traditional BP neural network model, using MATLAB software to predict the daily power load of a city from July 1 to July 10. The forecast results show that the load forecast curve obtained by BP-GSA model is closer to the actual load curve. That is to say, BP-GSA load forecasting error is less than the traditional BP neural network load forecasting error, which proves that BP-GSA model has better forecasting effect.
Evaluation Method of Distribution Network Carrying Capacity Based on Bayesian Network
Authors: Wang Ke , Yang Sumin , Zhang Xu , Cui Jimin , Zhang Dongsheng , Wei Yuren 
Published: December 2022

Abstract
The high-permeability distributed new energy is connected to the distribution network, which aggravates the fluctuation and uncertainty of the distribution network. In order to gradually improve the scientificity and accuracy of the distributed new energy-carrying capacity evaluation, it has become an essential means to solve the problem of wind and light abandonment by means of high-voltage DC channels to realize the power transmission from the new energy-rich areas and promote the interconnection and carrying of multiple areas. This paper proposes a calculation model of the maximum carrying capacity of multi-distributed power sources accessing the power network. The Bayesian network model limits the voltage offset, voltage fluctuation, short circuit current, and subsequent current related to electrical protection. Based on the dynamic sensitivity of the constraint index to distributed power capacity, a segment solution method is proposed to deal with various constraints. Through experimental analysis, it is proved that the speed of promoting the model in this paper is faster. It has an optimization effect for more constraints. This paper can reasonably evaluate the carrying capacity of the existing distribution network for distributed new energy, and provide support for further research on the carrying capacity improvement strategy of high-permeability and fluctuating new energy.
Algorithm Research on Minimum Inertia Demand of New Energy Sending Grid Generating Units Considering System Transient Stability
Authors: Li Jun , Ren Jing , Ren Chong , Zhang Xiaodong , Xu Haotian 
Published: December 2022

Abstract
After a lot of conventional power-generating units at the local end-to-end power grid have been replaced, the new energy-generating units do not participate in the active response of the system through the grid connection of the converter, which reduces transient stability due to the reduction of the inertia of the local grid. Firstly, based on the principle of transient energy, the mechanism of the moment of inertia of the local power grid is established by affecting the fault removal angle, and then the acceleration energy during the fault and the deceleration energy after the fault is removed is revealed. Based on the equal area rule, the relationship between the inertia and the transient stability limit, and the static stability limit before and after the fault is deduced, and the minimum engineering moment of inertia required to ensure the transient stability of the system at a certain output power level at the transmitting-end grid is given. The algorithm and simulation example analysis verify the effectiveness and practicability of the proposed method.
Simulation Research on Tightening Force and Temperature Distribution of Tension Clamps in Distribution Network
Authors: Xu Ang , Shi Xiaoxiao , Zhou Yufeng , Guo Kai , Shi Haibin , Shi Yong 
Published: December 2022

Abstract
In order to study the effect of tightening torque on the temperature change of overhead line tension clamps and conductors, a structural model of NLL-4 tension clamps was established using COMSOL Multiphysics. Under the power frequency of 400-650A, the electromagnetic-thermal coupling finite element simulation analysis of the tension clamp was carried out by adjusting the tightening torque, and the three-dimensional temperature field distribution of the tension clamp and the wire was obtained. The results show that when 600A power frequency alternating current is applied, the tightening torque decreases continuously, and the overall temperature of the tension clamp and wire increases with the decrease of the torque. When the tightening torque is constant, different power frequency AC currents of 400-650A are applied, and the overall temperature of the tension clamp increases with the increase of the current; at the same time, no matter how the current and tightening torque change, the temperature of the extrusion part of the wire is always higher than the temperature of the unextruded part.
Application of Fuzzy PID in Walking along the Wall Strategy of Mobile Robot
Authors: Lin Zifei , Sun Xuan , Cao Jinshun , Dong Quancheng 
Published: December 2022

Abstract
Aiming at the walk-along-the-wall strategy of the mobile machine, a guidance method based on two analogue laser ranging sensors and a fuzzy PID control algorithm is proposed in this paper, which solves the shortcoming that traditional PID control algorithm does not apply to the nonlinear movement of mobile machine. The fuzzy controller and fuzzy rules were first designed, and the control effect was simulated in MATLAB to verify the superiority of fuzzy PID control in the walking along the wall strategy, making the movement smoother and more stable.
Nonlinear analog of the complexity-stability transition in random dynamical systems: a replica calculation
Authors: Arnoulx de Pirey Thibaut , van Wijland Frédéric 
Published: December 2022

Abstract
We consider large-dimensional dynamical systems involving a linear force and a random force comprising both potential and non-conservative contributions. Such systems are known to exhibit a topological trivialization phase transition as the strength of the random force is increased. This is reflected in the number of stationary points of the dynamical systems that transitions from one to an exponential in the number of degrees of freedom. We analyze this transition by means of a replica calculation.
Comparing the Reliability of Virtual and In-Person Post-Stroke Neuropsychological Assessment with Language Tasks
Authors: Duricy Erin , Durisko Corrine , Dickey Michael Walsh , Fiez Julie A 
Published: December 2022

Abstract

Objective
Neuropsychological testing is essential for both clinical and basic stroke research; however, the in-person nature of this testing is a limitation. Virtual testing overcomes the hurdles of geographic location, mobility issues and permits social distancing, yet its validity has received relatively little investigation, particularly in comparison with in-person testing.

Method
We expand on our prior findings of virtual testing feasibility by assessing virtual versus in-person administration of language and communication tasks with 48 left-hemisphere stroke patients (21 F, 27 M; mean age = 63.4 ± 12; mean years of education = 15.3 ± 3.5) in a quasi-test–retest paradigm. Each participant completed two testing sessions: one in their home and one in the research lab. Participants were assigned to one of the eight groups, with the testing condition (fully in-person, partially virtual), order of home session (first, second) and technology (iPad, Windows tablet) varied across groups.

Results
Across six speech-language tasks that utilized varying response modalities and interfaces, we found no significant difference in performance between virtual and in-person testing. However, our results reveal key considerations for successful virtual administration of neuropsychological tests, including technology complications and disparities in internet access.

Conclusions
Virtual administration of neuropsychological assessments demonstrates comparable reliability with in-person data collection involving stroke survivors, though technology issues must be taken into account.