bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of Passive Wireless Temperature Online Monitoring System Based on Internet of Things Technology in Substation
Authors: Kou Zheng , Liu XinRong , Liu TaoWei , Yang Yue 
Published: December 2022

Abstract
With the improvement of the automation level of the power system, the number of operation and maintenance personnel continues to decrease, but the use of switchgear is quite large. Since the switchgear is a metal armoured device with a closed shell, the hot spots inside the switchgear cannot be detected in time during operation. Effective temperature measurement and the safety of equipment cannot be effectively guaranteed. In order to avoid the aging caused by the excessive current load of the switch cabinet, poor contact of cable joints and contacts, or long-term operation, which will cause heat in the place, forming a vicious circle and eventually leading to insulation breakdown or fire accidents, Establish a wireless temperature measurement system for switch cabinets to monitor the temperature of the parts where the equipment is prone to overheat, and issue an alarm message when the temperature rises abnormally. At present, the manual inspection of switch cabinets in the power supply system cannot effectively and timely detect fire hazards, so the problem of online monitoring of switch cabinet temperature is particularly prominent. Using the Internet of Things sensing technology and communication technology, build an Internet of Things-based electrical connection point temperature online monitoring system, the all-weather real-time monitoring of the connection parts of high-voltage electrical equipment can effectively reduce the equipment failure rate, promote the condition maintenance of power equipment, and ensure the safe and economical operation of the power system.
Optimal Distribution Scheme for Electric Logistics Vehicle Response to Real-time Price
Authors: Cheng Xu , Zhang Mengmeng , Cui Zhengpai , YangYu  , Zhou Fangze , Zhou Hui 
Published: December 2022

Abstract
In order to decrease the cost for those electric logistics vehicles, it’s necessary to consider respond the lower real-time price in the electricity market when the EV is prepared for charging electricity and find an optimal distribution scheme; the key problem is in constructing an optimal model and find proper optimization solving approach. Firstly, based on the constructed information system, the variation characteristics of real-time price and the charging/discharging characteristics of the battery are analyzed. Secondly, the mathematical model of minimizing the cost of electric logistics vehicles is constructed. Various constraints, such as battery capacity limit, road accessibility, and whether a charging station is available, are considered. Then, with the improved dynamic programming, the discussed problem is easy to be solved when being converted into multi-stage decision-making. Finally, an example demonstrates how electric logistics vehicles respond to real-time prices. Those findings can verify the proposed model and solution approach are valid.
Research on Adjustable-Speed Asynchronous Condenser with AC Excitation and Its Excitation Control Strategy
Authors: Lv Yanling , Cui Haopu , Qi Haibing , Jiang Xingyuan , Hou Shiqiang 
Published: December 2022

Abstract
In this paper, a speed-adjustable asynchronous condenser with AC excitation and its excitation control strategy are proposed. Through excitation control, the asynchronous condenser not only can adjust the voltage by reactive power output but also can adjust the speed to release rotational kinetic energy and increase the system inertia to smooth system frequency. In this paper, the model of the asynchronous condenser is established, and then a transiently improved control strategy for the asynchronous condenser considering the change of the stator excitation current, is proposed. It is verified by simulation that after the transient improvement control strategy is adopted, the asynchronous condenser can provide reactive power support and a certain frequency support capability to the system.
Modeling and Simulation of Electric Thrust Reverser Actuator Control Based on Simulink
Authors: Ke Jie , He Bihai , Jin Chongwen , Zhang Xu , Zhu Zhisheng 
Published: December 2022

Abstract
According to the structural characteristics and working principle of the electric actuator system of the aircraft thrust reverser, the mathematical control model of the thrust reverser actuator is proposed for a certain type of electric thrust reverser actuator system. The model is established and simulated by the modular modeling method based on Simulink software. The actuator’s load force, transmission, displacement, and velocity relationship are analyzed. The simulation results show that the model can simulate the deployment and stow of the actuator under different conditions and provide a platform for the control logic design, force analysis, and fault diagnosis of the electric thrust reverse actuator system.
Research on Optimal Allocation of Reactive Power Compensation in Offshore Wind Power Transmission System via AC Cable Based on Controllable Reactor
Authors: Li Shupeng , Li Zhenbin , Man Yuyan , Li Qirui , Liu Yali , Yu Guangyao 
Published: December 2022

Abstract
The capacitance of submarine cables with the same length and the same voltage level is more than 20 times that of overhead lines, which makes the reactive power for AC transmission system of offshore wind power greatly increase and the power flow is complicated, and it is easier to produce a series of problems such as reactive power return, low power factor, increased network loss, and terminal voltage rise, which puts forward higher requirements for reactive power compensation configuration scheme. Combined with practical engineering cases, this paper introduces the reactive power and voltage characteristics of the sea breeze system, as well as the problems and shortcomings of conventional reactive power compensation schemes. Finally, the reactive power allocation optimization scheme based on the new magnetically controlled controllable reactor MCR is proposed, which has the technical and economic advantages of low running loss, saving investment and land occupation, etc. It can be used as a beneficial supplement to the reactive power allocation scheme for the transmission system of offshore wind power with AC cable and has the value of engineering popularization.
Research on Transmission Scheme for Important Transmission Sections by Changing Original AC Lines into DC Lines
Authors: Li Yan , Wang Decheng , Zhu Xiaojun 
Published: December 2022

Abstract
Affected by geographical conditions and construction conditions, the number and capacity of transmission lines connecting different regions are limited. Meanwhile, the power on each transmission line does not reach the rated capacity and the power flow distribution is uneven due to the grid structure in traditional power systems. Changing original AC lines into DC lines is provided for improving power transmission. DC system-based MMC is also discussed and designed. Simulation results demonstrate the feasibility and performance of the proposed transmission scheme.
Fault Location Method of Distribution Network with Distributed Generation
Authors: Gu Jiangbo 
Published: December 2022

Abstract
Distributed generation is widely used in power systems, but the topology becomes complicated after the grid connection. Because of the large-scale distributed generation grid, the difficulty of fault location is increasing, and the terminal is easily affected by environmental influences, which leads to the uploaded information being easily distorted. This paper proposes an improved algorithm to solve the defects of the standard intelligent algorithm in the location of high-dimensional and large-scale distributed grids. At the same time, a hybrid algorithm combined with the improved matrix algorithm is proposed to solve the location of the fault section. The experimental analysis proves that the location method studied in this paper can guarantee the distribution network’s security and stability and the power supply’s reliability. The experimental analysis has significant engineering value in the distribution network fault location.
Development in Emergency Device of Live Deficiency Elimination for SF6 Electrical Equipment
Authors: Chen Changlei , Li Zhi , Zhang Jianjun , Wang Lide 
Published: December 2022

Abstract
With the increase in the operating life of SF6 gas insulation equipment, the issues of excessive SF6 micro-water content, its excessive decomposition products, and its decreased purity have serious repercussions for safe and stable equipment operation. The conventional treatment is affected by the power outage and cannot completely eliminate the deficiencies. A set of the SF6 online dialysis device that can be operated without power failure needs designing and processing to realize online purification of micro-water with ultra-standard SF6 gas and impurity gases in it; when the high-voltage equipment leaks and cannot be powered off, this device can automatically control the air supply to ensure the safe equipment operation and earn time for subsequent repairs. The lightweight design and self-loading and unloading configuration of this device can satisfy the needs of special operating environments and sites.
Research on human-machine interaction method of smart grid based on meta-learning
Authors: Wu Feng , Liu Junjun , Wang Chen , Ji Yonghuan , Cui Chen 
Published: December 2022

Abstract
As the size of the power grid continues to grow, the workload of dispatchers is becoming more and more powerful, and dispatchers alone cannot meet the daily dispatching communication needs. Voice human-machine interaction is a key technology in the field of artificial intelligence. This article proposes a smart grid human-machine interaction method based on meta-learning, this article proposes to use meta-learning to train language models and first-order MAML to optimize the initial model parameters. Experimental results show that after 20 epochs of training using less data, the speech recognition WER is reduced to 1.64% and the SER is reduced to 9.78%, which is better than the traditional hidden Markov model on WER and SER, and with the increase of training times, the recognition performance is gradually improved, and there is no overfitting phenomenon.
Design of Biogas Production Prediction Model Based on Improved BP Neural Network and Genetic Algorithm
Authors: Wu Yuchen , Zhang Guangming , Zhang Yunfei , Wang Bo 
Published: December 2022

Abstract
This paper presents a model for predicting biogas production. Most biogas production models are only suitable for laboratories due to their high complexity and are not suitable for practical production applications and promotion. The existing biogas stations have a low degree of automation, and biogas production is often manually estimated based on experience. In view of these problems, the BP neural network was studied and the biogas production prediction model was established. Genetic algorithm (GA) is introduced to optimize the model parameters to make the experimental results more accurate. The data show that the prediction effect based on GA-BP model is very ideal.
Research on Volatility Clustering Algorithm for Intermittent Renewable Energy
Authors: Gao Xuefeng , Li Hao , Ji Shuai , Wang Dingheng , Wang Dong , Jia Jia 
Published: December 2022

Abstract
The increase in the penetration rate of renewable energy such as wind power and photovoltaics has brought challenges to the stable dispatch and safe operation of the power system. Therefore, based on the short-time fast Fourier transform method, this paper constructs a long-short-term memory neural network model, and proposes a new volatility clustering algorithm for intermittent renewable energy. On this basis, based on the open source data set RTS-GMLC published by the National Renewable Energy Laboratory (NREL), experimental simulations were carried out to verify the effectiveness of the proposed volatility clustering algorithm for intermittent renewable energy. sex. This provides a quantitative decision-making basis for the dispatch and operation of power systems dominated by intermittent renewable energy.
High-Precision Timing Method of BeiDou-3 System Based on Reinforcement Learning
Authors: Dai Yue , Lu Jiangang , Yu Zhiwen , Zhao Ruifeng 
Published: December 2022

Abstract
All aspects of smart grid operation require precise timing technology to improve the timeliness and precision of the network. However, due to the complex and time-varying network environment and the low precision of device timing, the existing timing technology cannot meet the timing precision required by smart grid services. Therefore, according to the multi-armed bandit (MAB) theory and the upper confidence bound (UCB) algorithm, this paper proposes a high-precision timing method for power transmission and distribution park named adaptive timing-aware upper confidence bound (AUCB). The long-term average reward is maximized based on local information and historical decision-making experience. The simulation results show that the proposed high-precision timing method of AUCB in the power transmission and distribution park can effectively improve the device timing precision and realize self-adaptive timing for power system devices.
Investigation on crashworthiness and mechanism of a bionic antler-like gradient thin-walled structure
Authors: Wei Zhiquan , Zhang Xu , Zheng Yang 
Published: December 2022

Abstract
Inspired by an impact-resistant antler, a novel size-gradient thin-walled structure is designed as an energy absorber. Its crashworthiness and mechanism are investigated by finite element simulation. The results show that the bionic-antler gradient structure has excellent crashworthiness performance with the specific energy absorption (SEA) of 2.17 and 1.29 times that of cylinder and fractal spider web, respectively, and the crushing force efficiency as high as 91.54%. Furthermore, when its SEA is the same as that of the fractal spider web, the peak crushing force can be reduced by 35%. The bionic-antler gradient structure produces many folds due to small folding wavelength, which expands the scope of energy storage area and improves the value of energy storage. Increasing properly the cell size-gradient or decreasing the average cell size can further enhance the crashworthiness performance of the bionic-antler gradient structure.
Attributing synergies and trade-offs in water resources planning and management in the Volta River basin under climate change
Authors: Liersch S , Koch H , Abungba J A , Salack S , Hattermann F F 
Published: December 2022

Abstract
To feed the growing population, achieve the Sustainable Development Goals, and fulfil the commitments of the Paris Agreement, West African countries need to invest in agricultural development and renewable energy, among other sectors. Irrigated agriculture, feeding millions of people, and hydropower, generating clean electricity, depend on water availability and compete for the resource. In the Volta basin, the planned 105 000 ha of irrigated land in Burkina Faso and Ghana could feed hundreds of thousands of people. However, irrigation in the dry season depends on upstream dams that change the river’s flow regime from intermittent to permanent, and at the same time irrigation water is no longer available for hydropower generation. Using an integrated eco-hydrological and water management model, we investigated the water demand and supply of three planned irrigation projects and the impacts of the planned Pwalugu multi-purpose dam on the hydropower potentials and water availability in the entire Volta basin. We found that future irrigation withdrawals would reduce the hydropower potential in the Volta basin by 79 GWh a−1 and the operation of Pwalugu by another 86 GWh a−1. Hence, Pwalugu contributes only about 101 GWh a−1 of its potential of 187 GWh a−1. Under climate change simulations, using an ensemble of eight bias-adjusted and downscaled GCMs, irrigation demand surprisingly did not increase. The higher evaporation losses due to higher temperatures were compensated by increasing precipitation while favouring hydropower generation. However, water availability at the irrigation site in Burkina Faso is clearly at its limit, while capacity in Ghana is not yet exhausted. Due to hydro-climatic differences in the Volta basin, the cost of irrigating one hectare of land in terms of lost hydropower potential follows a north-south gradient from the hot and dry north to the humid south. Nevertheless, food production should have priority over hydropower, which can be compensated by other renewables energies.
Finite temperature quantum condensations in the space of states: general proof
Authors: Ostilli Massimo , Presilla Carlo 
Published: December 2022

AbstractWe formalize and prove the extension to finite temperature of a class of quantum phase transitions, acting as condensations in the space of states, recently introduced and discussed at zero temperature (Ostilli and Presilla 2021J. Phys. A: Math. Theor.54055005). In details, we find that if, for a quantum system at canonical thermal equilibrium, one can find a partition of its Hilbert spaceinto two subspaces,and, such that, in the thermodynamic limit,dimℋcond/dimℋ→0and the free energies of the system restricted to these subspaces cross each other for some value of the Hamiltonian parameters, then, the system undergoes a first-order quantum phase transition driven by those parameters. The proof is based on an exact probabilistic representation of quantum dynamics at an imaginary time identified with the inverse temperature of the system. We also show that the critical surface has universal features at high and low temperatures.
Thermodynamically free quantum measurements
Authors: Mohammady M Hamed 
Published: December 2022

Abstract
Thermal channels—the free processes allowed in the resource theory of quantum thermodynamics—are generalised to thermal instruments, which we interpret as implementing thermodynamically free quantum measurements; a Maxwellian demon using such measurements never violates the second law of thermodynamics. Further properties of thermal instruments are investigated and, in particular, it is shown that they only measure observables commuting with the Hamiltonian, and they thermalise the measured system when performing a complete measurement, the latter of which indicates a thermodynamically induced information-disturbance trade-off. The demarcation of measurements that are not thermodynamically free paves the way for a resource-theoretic quantification of their thermodynamic cost.
Coherent states of the one-dimensional Dunkl oscillator for real and complex variables and the Segal–Bargmann transformation of Dunkl-type
Authors: Ghazouani Sami 
Published: December 2022

Abstract
In this paper, we construct coherent states of a parity deformation of the Heisenberg algebra and we examine some of its properties. We show that these states minimize the uncertainty principle and obey the classical equations of motion for the harmonic oscillator. Also they constitute a non-orthogonal over-complete system which yields a resolution of the identity operator. As a concrete realization of this algebra and its coherent states, we treat the quantum systems governed by the one-dimensional Dunkl oscillator for real and complex variables. We show that these quantum systems are unitary equivalent and the unitary equivalence is a Segal–Bargmann transformation of Dunkl-type.
Non-autonomous multidimensional Toda system and multiple interpolation problem
Authors: Doliwa Adam 
Published: December 2022

AbstractWe study the interpolation analogue of the Hermite–Padé type I approximation problem. We provide its determinant solution and we write down the corresponding integrable discrete system as an admissible reduction of Hirota’s discrete Kadomtsev–Petviashvili equations. Apart from theτ-function form of the system we provide its variant, which in the simplest case of dimension two reduces to the non-autonomous discrete-time Toda equations.
Development of multi-band and high-speed visible endoscope diagnostic on EAST with catadioptric optics
Authors: HAN Xiaofeng , YANG Jianhua , YAN Hailong , ZANG Qing , HU Jiahui , SUN Pengjun , YANG Xiaofei 
Published: December 2022

Abstract
A new multi-band and high-speed endoscope diagnostic for the observation of visible light has been successfully developed on the Experimental Advanced Superconducting Tokamak. The mirror with an aperture is designed at the head of the optical system. Based on two dichroic mirrors, the system is divided into three imaging mirror groups with different bands, i.e. B (380–500 nm), G (500–580 nm) and R (580–750 nm) bands, and its focal length is 16 mm with a relatively large aperture of D/f = 1:4. The spatial resolution is less than 5 mm near the object distance of

1750

mm

with the camera NAC ACS-1 M60. This optical system will be used to contrastively study both the spatial distribution and time evolution of different impurities in the same field of view. The experimental results confirm that it can be applied to the recognition of plasma boundary and related physical research.
Convergence in determining enzyme functional descriptors across Kemp eliminase variants
Authors: Jiang Yaoyukun , Stull Sebastian L , Shao Qianzhen , Yang Zhongyue J 
Published: December 2022

Abstract
Molecular simulations have been extensively employed to accelerate biocatalytic discoveries. Enzyme functional descriptors derived from molecular simulations have been leveraged to guide the search for beneficial enzyme mutants. However, the ideal active-site region size for computing the descriptors over multiple enzyme variants remains untested. Here, we conducted convergence tests for dynamics-derived and electrostatic descriptors on 18 Kemp eliminase variants across six active-site regions with various boundary distances to the substrate. The tested descriptors include the root-mean-square deviation of the active-site region, the solvent accessible surface area ratio between the substrate and active site, and the projection of the electric field (EF) on the breaking C–H bond. All descriptors were evaluated using molecular mechanics methods. To understand the effects of electronic structure, the EF was also evaluated using quantum mechanics/molecular mechanics methods. The descriptor values were computed for 18 Kemp eliminase variants. Spearman correlation matrices were used to determine the region size condition under which further expansion of the region boundary does not substantially change the ranking of descriptor values. We observed that protein dynamics-derived descriptors, including RMSDactive_site and SASAratio, converge at a distance cutoff of 5 Å from the substrate. The electrostatic descriptor, EFC–H, converges at 6 Å using molecular mechanics methods with truncated enzyme models and 4 Å using quantum mechanics/molecular mechanics methods with whole enzyme model. This study serves as a future reference to determine descriptors for predictive modeling of enzyme engineering.