bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on the application of photovoltaic power generation systems in field observatories under the zero carbon goal
Authors: Yao Jianan , Niu Junkui , Wang Binbin , Li Wenbing , Chen Long 
Published: April 2023

Abstract
Emissions of greenhouse gases such as CO2 are rapidly increasing, causing the greenhouse effect, leading to global warming and serious impacts on the ecosystem, while photovoltaic power generation can reduce the large amount of pollutants and carbon emissions produced in the traditional power generation process. The article takes the photovoltaic power generation system of the national field observatory as the research object, and uses PVsyst software to design the system of two distributed photovoltaic power generation systems. After calculating and analysing the total power of the experimental equipment, the efficiency of photovoltaic power generation and the system cost of the field observatory, the scheme and scale of the photovoltaic power generation system are determined, and the construction of the photovoltaic power generation test system is completed. Finally, through the comparison and analysis of the one-year PV power generation data with the simulated data, the feasibility of the system design method is verified, which can meet the requirements of the field experimental station and create a zero-carbon field observatory to achieve green energy conservation and sustainable energy use, which is in line with the strategic development plan of carbon peaking and carbon neutrality promoted by the state and provides a design basis and useful reference for the construction of zero-carbon field experimental stations.
Study on the Characteristics, Harm, Mechanism and Prevention Measures of Corrosion at the Tower Foot of Transmission Line
Authors: Li Yufeng , Wu Peicheng , Chen Haideng , Tao Xianghai , Gao Tianshu , Chen Honglin 
Published: April 2023

Abstract
The transmission line is the key medium and channel for power transmission from the power supply side to the power consumption side. As the infrastructure supporting the transmission line, the iron tower is crucial for the safe and stable operation of the grid. In recent years, the phenomenon of corrosion at the foot of power transmission towers has been expanding, which is a major hidden danger affecting the security of the power grid. Based on the actual situation, this paper summarizes the corrosion characteristics of the current transmission line tower foot and points out the harm and reaction mechanism of tower foot corrosion. According to the existing technical conditions, the corrosion prevention measures for the tower foot are proposed to eliminate the hidden danger of tower corrosion from the root and improve the safe operation level of transmission lines, which can be used for reference by relevant personnel.
Research on Sensorless Control of Permanent Magnet Synchronous Motor Based on Novel Sliding Mode Observer
Authors: Qi Ge , Hu Wanlong , Ma Ding , Huang Wenhao 
Published: April 2023

Abstract
In this paper, an improved SMO system is proposed to solve the problems of jitter and poor interference immunity of the conventional SMO system, the system is improved by replacing and adding three new simulation modules. Starting from the ideas of the “quasi-sliding module” and “boundary layer” of sliding mode control theory, by replacing the symbolic function in the conventional observer with an exponential segmentation function, which can effectively suppress the jitter phenomenon. And for different speed motor control application scenarios, a variable sliding mode gain coefficient that can be dynamically changed with the motor speed is used. For the system’s anti-jitter performance to be improved, a variable sliding mode gain coefficient that can be dynamically changed with the motor speed is introduced, which has stronger self-adaptability in different speed scenarios. An improved SMO system is formed by adding three new and improved modules, and this basis is tested experimentally on the MATLAB/Simulink simulation platform. The SMO with the addition of three new modules can be tested by simulation experiments to know that it has stronger anti-disturbance and self-adaptive capabilities under change scenarios such as sudden changes in load torque and sudden changes in speed.
The Method of Photovoltaic Power Forecast based on Seasonal Classification and Limit Learning Machine
Authors: Li Dengxuan , Ma Wenwen , Hu Siyu , Qin Fang , Chen Weidong , Ding Huang , Han Yutong 
Published: April 2023

Abstract
The seasonal distribution characteristics of photovoltaic power plant output fluctuation are analyzed, and a short-term power forecasting method based on seasonal classification is proposed. Firstly, the seasonal distribution characteristics of photovoltaic output and its fluctuation are analyzed. Secondly, the forecasting model of photovoltaic output in different seasons is established by the Limit Learning Machine neural network. Finally, an empirical analysis is carried out by using photovoltaic output data. The results show that the seasonal classification method of short-term PV power forecast is better than the unclassified model.
Design of voltage stabilizing control for a hybrid microgrid with state constraints based on the switching system
Authors: Wang Zonghao , Sun Liying 
Published: April 2023

Abstract
With the application and development of new energy generation technology and distributed power supply system, AC-DC hybrid microgrid has the comprehensive advantages of AC microgrid and DC microgrid, and it is significant to study the voltage stability of hybrid microgrid. Based on the switching system theory, the voltage stability control of the ac-dc hybrid micro-grid in grid-connected and the off-grid operation mode are studied in this paper. Considering that the AC and DC bus voltages of the microgrid are constrained in practical engineering applications, the Backstepping controller is designed by using the barrier Lyapunov function and Backstepping method. Considering that the equivalent resistance in the system can not be accurately measured and combined with adaptive control, it is more practical for practical engineering applications.
Simulation study on disturbance of energy storage microgrid system based on bi-directional DC/DC converter
Authors: Yu Di , Fu Liyou 
Published: April 2023

Abstract
With the national policy of energy saving and emission reduction, microgrid technology has gradually entered into people’s daily life and received more and more technical and financial support. In this paper, we build an energy storage microgrid system based on a bi-directional DC/DC converter through Matlab/Simulink software, construct a simple simulation model of a PV battery, storage battery and bi-directional DC/DC converter, and simulate and verify the anti-interference ability and stability recovery ability of the microgrid under the situation of external disturbance. The experimental results show that the system can simulate the operation of a microgrid system.
Hidden Markov Chain Model-Based Intelligent Distributed Optimization Scheduling Operation Error Prevention Method for Main Network
Authors: Yang Sheng , Liu Jinming , Zhou Zhicheng , Ning Yangtian 
Published: April 2023

Abstract
After the implementation of the intelligent distributed optimal dispatching mode of the main network, the number of operations is more frequent, resulting in the problem of operation error, which affects the reliability and stability of the power grid operation. In this paper, a hidden Markov chain (HMC) model-based intelligent distributed optimization scheduling operation error prevention method for the main network is proposed. In this study, the power grid topology model is established through continuous access, which lays the foundation for the dynamic tracking of dispatching operation instructions. The hidden Markov chain model is used to estimate the operational risk of scheduling. Combining with the association mining theory, the anti-error detection rules between risk and anti-error strategy are established, and the anti-error strategy is implemented. The results show that under the application of the operation error prevention method, the operation error prevention response time difference and the voltage fluctuation range of the power grid reach the minimum. Through this study, it is expected to provide a reliable reference for dispatchers to make more effective dispatching decisions and correct dispatching errors in time.
Analysis of the voltage impact on the distribution network after PV connection and its reactive power optimization
Authors: Jiang Zhongwei 
Published: April 2023

Abstract
Under the context of building a new type of power system, distributed PV is connected to the distribution network on a large scale, further increasing the penetration rate of the distribution network. The access of distributed PV causes many problems, such as voltage rise at distribution network nodes and transformer power back feeding. This paper first analyses the impact of PV connection at different locations in the distribution on the node voltage of the distribution network. The Grey Wolf Algorithm (GWA) is then applied to optimize the nodal voltage and branch network losses for the rational allocation of PV capacity and access to shunt compensation capacitors. Finally, the method’s effectiveness is verified using the IEEE33 bus system.
Consider the optimal allocation planning of energy storage for flexible resources of source network load
Authors: Chen Hao , Liu Zhaoyang , Wang Binbin , Liang Yan , Wang Yongli , Guo Wenhui , Lu Yuhan 
Published: April 2023

Abstract
The increased penetration of distributed generation such as wind and light in the distribution grid causes dramatic fluctuations in net load, resulting in a sharp increase in the need for distribution grid flexibility. To this end, a distribution grid energy storage optimal allocation method considering source-net-load flexibility resources is proposed. First, a set of uncertain operation scenarios is established from multiple time scales using the K-means method and robust optimization theory; second, an economically flexible multi-objective optimization model with the minimum annual integrated cost and the highest average daily flexibility level of the distribution network as the optimization objectives is established and solved by a multi-objective composite differential evolutionary algorithm with embedded tide calculation. Arithmetic design and simulation are based on the IEEE 33-node distribution network system. The results validate the reasonableness and effectiveness of the proposed model considering source-grid-load flexibility resources in solving the energy storage allocation scheme.
Fault Prediction Method of Intelligent Distribution Switchgear Based on Nearest Neighbor-Gradient Hybrid Learning-RBF Neural Network for State Aware
Authors: Sun LingChen , Yu Yue , Yuan Yi , Qi Peng , Liu ZhenYu , Wu YiXuan , Kong LingYu 
Published: April 2023

Abstract
For ensuring the safe operation of distribution switch cabinet, a regular maintenance system is implemented. As the specific conditions of the equipment operation are not considered, there are too many unnecessary shutdowns and maintenance, resulting in the situation that “the equipment is not damaged, but repaired”. Moreover, troubleshooting mainly depends on the sense organs, experience and instruments of the maintenance personnel. The ability and experience of the maintenance staff is what limits the quality of the maintenance since the time spent identifying the fault reasons typically makes up more than 60% of the overall troubleshooting time. The stability of the entire power supply system is directly impacted by the dependability and safety of the power distribution switchgear. To prevent “insufficient maintenance” and “excessive maintenance” brought on by planned maintenance. This paper examines the RBF neural network’s offline and online training techniques as a result. Additionally, the analysis of the RBF neural network’s offline and online training techniques is proposed using the closest neighbor-gradient hybrid learning algorithm. Additionally, the hybrid closest neighbor-gradient training approach is suggested. Experiments using Matlab simulations show that the diagnostic results are more accurate.
Radiation studies performed on the High Luminosity ATLAS TileCal link Daughterboard
Authors: Valdes Santurio E. , Silverstein S. , Bohm C. , Motzkau H. , Clement C. , Dunne K. , Lee S. 
Published: April 2023

Abstract
The new electronics of the ATLAS Tile Calorimeter for the HL-LHC interfaces the on-detector and off-detector electronics by means of a Daughterboard. The Daughterboard is positioned on-detector featuring commercial SFPs+, CERN GBTx ASICs, ProASIC FPGAs and Kintex Ultrascale FPGAs. The design minimizes single points of failure and mitigates radiation damage by means of a double redundant scheme, Triple Mode Redundancy, Xilinx Soft Error Mitigation IP, CRC/FEC for link data transfer, and SEL protection circuitry. We present an updated summary of the TID, NIEL and SEE qualification tests, and performance studies of the Daughterboard revision 6 design.
Influence of seasonal climatic water deficit and crop prices on rainfed crop grain harvest, repurposing, and abandonment in the western U.S.A.
Authors: Lauffenburger Zachary H , Maneta Marco P , Miller Perry , Kimball John S 
Published: April 2023

Abstract
Increasing climate aridity and drought, exacerbated by global warming, are increasing risks for western United States of America (U.S.A.) rainfed farming, and challenging producers’ capacity to maintain production and profitability. With agricultural water demand in the region exceeding limited supplies and fewer opportunities to develop new water sources, rainfed agriculture is under increasing pressure to meet the nation’s growing food demands. This study examines three major western U.S.A. rainfed crops: barley, spring wheat, and winter wheat. We analyzed the relationship between crop repurposing (the ratio of acres harvested for grain to the total planted acres) to seasonal climatic water deficit (CWD). To isolate the climate signal from economic factors, our analysis accounted for the influence of crop prices on grain harvest. We used historical climate and agricultural data between 1958 and 2020 to model crop repurposing (e.g. forage) across the observed CWD record using a fixed effect model. Our methodology is applicable for any region and incorporates regional differences in farming and economic drivers. Our results indicate that farmers are less likely to harvest barley and spring wheat for grain when the spring CWD is above average. Of the major winter wheat growing regions, only the Northern High Plains in Texas showed a trend of decreasing grain harvest during high CWD. For the majority of major crop growing regions, grain prices increased with lower levels of grain harvest. Interestingly, winter wheat repurposing is significantly higher in the southern Great Plains (∼50% harvested for grain) compared to the rest of the West (∼90%). Our results highlight that the major barley and spring wheat regions’ grain harvests are vulnerable to high spring CWD and low summer CWD, while winter wheat grain harvest is unaffected by variable CWD in most of the West.
Poisson points, resetting, universality and the role of the last item
Authors: Godrèche Claude 
Published: April 2023

AbstractFor a stochastic process reset at random times, we discuss to what extent the probabilities of some orderings of observables associated with the intervals of time between resetting events are universal, i.e. independent of the choice of the observables, and in particular, to what extent universality depends on the choice of the distribution of these intervals. For Poissonian resetting, universality relies only on a combinatorial argument and on the statistical properties of Poisson points. For a generic distribution of time intervals between resets, universality no longer holds in general.
Green Synthesis Optimization and Characterization of Selenium Nanoparticle Using Aqueous Extract of Peel Solanum Melongena L.
Authors: Ali Ban Mohammed Hussein , Almashhedy Lamia A. M. 
Published: April 2023

Abstract
Recently, employing vegetable peel waste in green biosynthetic methods has received increased attention. It has low toxicity levels, is safe for the environment, and is simple to produce. The purpose of this research was to develop a sustainable technique of synthesizing SeNPs from an aqueous extract of eggplant peel. Because of this, selenium nanoparticles were produced in a single step utilizing an aqueous extract of peel Solanum melongena L. as a reducing and capping agent. The nanoparticles, which were studied using UV-Vis spectroscopy, had a surface Plasmon resonance centered at 320 nm. Nanoparticles sized between 50 and 150 nm were observed using a scanning electron microscope, while X-ray diffraction patterns revealed their amorphous, face-centered structure. Current research looks into how optimizing factors like reaction time, temperature, pH, selenous acid concentration, and reactant mixing ratio affect the quality of produced selenium nanoparticles. We found that 30 mM selenous acid, 30 degrees Celsius, pH 4, 9 days of incubation, and a 2:10 ratio of aqueous extract to selenous acid produced the highest quality selenium nanoparticles.
Determination of the Efficacy of Broccoli Sprouts Seeds on Growth, Blood Parameters, and Immunological Indicators in Experimentally Immunosuppressed Male Rats
Authors: Al-Qaraghli Adnan Nsaif Hammadi , Ayed Hani Sabbar 
Published: April 2023

Abstract
This study was conducted in graduate laboratories, College of Agriculture, University of Baghdad’s and animal house in College of Veterinary Medicine, University of Tikrit to determine the effectiveness of broccoli sprouted seeds on growth parameters, blood components and measurement of immune indicators in male rats with experimentally reduced immunity. The results of the study showed that oral administration of Sandimmun to male albino rats led to a decrease in the weight gain rate of laboratory rats and a decrease in blood components such as the white blood cell count (WBC), red blood cell count (RBC) and hemoglobin concentration level (Hb), while there was a significant increase in the number of platelets (PLT). It also caused a significant decrease in the values of the immunological indicators like IgG, IgA, and IgM. The results showed that feeding on broccoli sprouted seed powder with both concentrations 15% and 30% caused an increase in the weight gain rates to 53.40 and 84.40 g, respectively, compared to the average weights gained for the rats with reduced immunity in treatment G2, which was 15.40 g. The same applies to the effect of feeding on the two treatments G3 and G4. These groups had significant improvement in the blood parameters of rats in both treatments, but the G4 treatment was the best treatment in raising the level of white blood cell counts WBC, which amounted to 14.90x109 cell/ml while the number of RBC erythrocytes was at 8.18x106 cell/ml compared with their numbers in the experimentally immunocompromised group of rats, which were at 15.12x109 cell/ml and 8.06 x106 cells/ml, respectively. While the concentration of hemoglobin (Hb) level was at 13.68 mg/dL, the number of Platelets (PLT) 485x103 platelets / microliter and all these values were significantly similar with their numbers in the values of treatment G1. Also, feeding at a concentrations of 15% and 30% led to increase the immunoglobulins IgG, IgA and IgM in rats, as it caused an increase in their values in treatment G3, which were at 0.48, 0.44, 0.52 mg/dL, respectively. While their values in treatment G4 were at 0.54, 0.47, and 0.56 mg/dL, compared with their values in treatment G2, which amounted to 0.35, 0.33, 0.41 mg/dL. The conclusion of this study is that feeding with broccoli sprouted seed powder improved the growth rates, blood profile parameters and immune globulins in the experimentally reduced immune male rats.
Study of the Chemical Structure and Functional Properties of the Isolate of Cress(Lepidium sativum L.) Seed Protein
Authors: Mousa Issa Attia , Kareem Abdulkareem Abdulrazzaq 
Published: April 2023

Abstract
The study aimed to obtain the protein concentrate, isolated protein and defatted after extraction, isolation, purification and concentration of cress seeds(Lepidium sativum L.), and study these products to know the chemical composition and functional properties. It was noted that the highest percentage of fat was for cress seed flour (16.66%) and the lowest percentage in the protein isolate was 2.60%. It was found that the highest percentage of protein was in the protein isolate, reaching 71%, and that the lowest percentage of protein was in cress seed flour (13%), and the highest percentage of moisture in the protein isolate was 9.76%, and the lowest moisture content in Cress flour was 7.40%, and it was noted that the highest percentage of carbohydrates was for Cress flour 58.66%, and the lowest value was for the protein isolate (13.66%), The highest percentage of ash was for defatted 5.80%, and the lowest percentage of ash was for protein isolate, 2.86%. The mineral elements of cress seed products were studied, and found that the highest value of magnesium was for cress flour, (3.901 mggm-1), while the lowest value for the protein isolate. The highest value of potassium was for Cress flour (60 mggm-1), While the lowest value was for the protein isolate (8.412 mggm-1). while the highest value of zinc was for defatted (0.099mggm-1), while the lowest value for protein isolate was 0.024mggm-1. While the highest value of iron was in Cress flour (0.136 mggm-1), while the lowest value was for isolate protein (0.097 mggm-1). The highest value of calcium in Cress flour (8.496 mggm-1), while the lowest value was for isolate protein (1.137 mggm-1). The highest value of manganese was for defatted (0.346 mggm-1), while the lowest value was for protein isolate (0.047 mggm-1). While the highest value of phosphate was 10,623 mggm-1, while the lowest value was 4.518 mggm-1. The functional properties of the cress seed products were studied, as it was found that the highest water-binding value was for the protein concentrate (9.10 ml water gm-1), Whereas, the lowest value for protein isolate was 5.86 ml water gm-1. While the highest fat binding ability was for the protein isolate 3.20 ml fatgm-1, while the lowest value was for Cress flour. The highest value of the foam was for the protein isolate at PH = 7 (32%), while the lowest value was for Cress flower (15% foam). The highest foam stability at PH 7= 28% for the protein isolate, and the lowest foam stability value was 12.33% for Cress flour. The highest emulsify ability was 72% for protein isolate, while the lowest value was for Cress flour 46%. While the highest emulsifying stability was for isolate protein 42%, and the lowest stability value was for Cress flour 20%.