bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research and application of distributed energy storage and distributed photovoltaic economic optimal configuration method considering multiple constraints
Authors: Liu Caiyan , Cheng Ziyun , Yao Wenqian , Li Tianting 
Published: May 2023

Abstract
Energy storage is an effective measure to reduce the adverse impact of large-scale distributed photovoltaic access on the distribution network. Due to the high cost of the energy storage system, power grid planners urgently need to solve the problem of the optimal configuration of energy storage and photovoltaics. Therefore, this paper proposes a distributed energy storage planning and configuration method to promote the distributed photovoltaic consumption of the whole region. This method takes the maximum benefit of distributed photovoltaic energy distribution and storage as the objective function and takes power balance, charge-discharge power constraints, energy constraints, state of charge, and other constraints. Finally, a typical case of photovoltaic connection to an IEEE 33 node distribution network is selected to conduct a simulation analysis on the optimal configuration of different access locations for energy storage. The results show that after the energy storage system is connected, the node voltage offset of the distribution network is significantly improved, and the voltage quality is improved, which verifies the effectiveness of the capacity allocation method in this paper.
Improved climbing algorithm with variable step size in tidal energy Application of maximum power tracking control technique for power generation system
Authors: Liu Wenzhou , Yao Xiaoyan , Xiao Xu , Salvatore Francesco , Yang Jinghuan 
Published: May 2023

Abstract
In the context of carbon neutral carbon peak, in order to cope with climate change caused by environmental pollution and energy shortage caused by excessive use of fossil energy, the vigorous development of clean, low-carbon, and efficient renewable energy has become a major strategic direction. The development and utilization of tidal energy in China is still a certain gap with the European powerhouse, the efficiency of tidal energy generation at a low flow rate is low and the scale of development and utilization is small. The feasibility of the proposed strategy is verified by simulation analysis, and the results show that the improved variable step climbing algorithm can quickly track the maximum power point and operate stably at this point.
Frequency Control Strategy of Energy Storage and Thermal Power Unit Considering Cost and Performance
Authors: Liu Jiajie , Zhu Jianguo , Tao Hongfei , Wei Nan 
Published: May 2023

Abstract
Considering differentiated frequency regulation(FR) characteristics between energy storages and thermal power units, a frequency control strategy considering cost and performance is proposed to realize the complementary advantages of them. A joint objective of minimizing total cost and minimizing the penalty for failure of energy storage to track a given signal is proposed. The technical characteristics of FR resources, such as power and creep rate, are adopted as constraints. The comparison results demonstrate that the suggested approach improves the FR regional grid’s performance and reduces the regulation cost.
A Scenario Reduction Method of PV Output Based on NBSO Algorithm and STDI Index
Authors: Wang Weiyuan , Cheng Jinmin , Gao Yifan , Yu Xuan 
Published: May 2023

Abstract
Photovoltaic output has strong randomness and volatility. Research on the scenario reduction method of PV output is of great significance for the planning, design, and operation of power grids. This paper proposes Nonlinear Brain Storm Optimizer (NBSO) to improve the k-means algorithm, and uses the Standard Deviation Based Index (STDI) to evaluate the effectiveness of clustering. The simulation results show that the clustering method proposed in this paper can effectively reduce the PV output scenes, and the generated typical scene set can fit the output volatility and diversity of the initial scenes.
Online Probabilistic Static Security Assessment for Power Systems Considering High Renewable Penetration
Authors: Cao Bin , Wang Liqiang , Zhang Xiuqi , Hu Siyuan 
Published: May 2023

Abstract
With the rapid development of renewable energy, a large number of renewable energy stations are connected to the power system, which leads to a decrease in the inertia of the power system and an increase in safety risks suffered. Thus, online static security assessment (SSA) is increasingly necessary. However, because of the uncertainty of renewable energy, it is not feasible to check all possible scenarios in online SSA. To reduce the number of calculations and achieve SSA in a short time, a new online SSA method based on scenario clustering for future ultra-short-term security assessment is proposed in this paper. In the offline stage, a key scenario set is constructed by Markov Chain Monte Carlo and K-means with historical data. In the online application, the initial probability distribution of renewable energy outputs is calculated by joint distribution with the output of the previous interval and corrected by weather data. Then load flow calculation with N-1 criteria is executed, and the probability for the safe operation of the system is calculated. The effectiveness of the proposed online SSA scheme has been verified in the IEEE-300 system, where one of the generators is replaced by a renewable energy station.
Research on Virtual Synchronous Generator with Frequency Error Free Control
Authors: Zhan Weiqiang , Hu Liang , Yang Guang , Wang Fan , Yang Mingbo 
Published: May 2023

Abstract
A virtual synchronous generator control strategy based on the power angle characteristics of synchronous generators is designed for the independent distributed generation system. The control strategy designed has good stability, and realizes the zero difference control of the virtual synchronous generator frequency. The virtual synchronous generators can coordinate the power output in real-time, and show good stability in single-machine operation and multiple parallel operations. Finally, the effectiveness of the designed control strategy is verified by Matlab/Simulink simulation.
Fault Diagnosis of Rolling Bearings in VMD and GWO-ELM
Authors: Jiang Haisheng , Lu Hongyu , Zhou Jun , Liu Mingxiang 
Published: May 2023

Abstract
Strong noise, nonlinearity, and complex frequency are the remarkable symbols of vibration signals when rolling bearing failure. So a new method that improved the accuracy of rolling bearing fault diagnosis is proposed based on variational mode decomposition (VMD) and grey wolf algorithm optimized extreme learning machine (GWO-ELM). The bearing vibration signal is decomposed by VMD, and decomposed Intrinsic Mode Component (IMF) is used for fuzzy entropy calculation to construct a multi-scale complexity eigenvector. The fault pattern recognition is carried out in the extreme learning machine afterward. The parameter selection problem in VMD and fuzzy entropy algorithm is analysed through the experimental fault data of the rolling bearing, and the noise robustness of the experimental data is verified. Through fault data of rolling bearings on site, the comparison of the results shows that the GWO-ELM model can effectively identify the abnormal conditions, and has a faster training and learning speed in diagnosing the faults.
Design of Wireless Power Transfer System Based on LCC-S
Authors: Zhao Rongqiang , Xu Fei 
Published: May 2023

Abstract
Recently, wireless power transfer (WPT) technology has become a research hot spot due to its benefit of contactless power transfer. Firstly, for the sake of solving the problem of the small coupling coefficient of traditional orbital wireless power transfer systems, a new structure and control strategy of transceiver coil was proposed, and then the optimal parameters of system transmission efficiency were found out by comprehensive analysis of the LCC-S compensation circuit structure and equivalent circuit, and the correctness of the parameters was verified in MATLAB/Simulink simulation. Finally, an experimental prototype was built, and the experimental findings show that the wireless power transfer system based on LCC-S can realize voltage regulation control, the coupling coefficient is increased by 0.4 compared with the traditional orbital structure, and the transmission efficiency of this system is more than 80%.
A Protection Scheme for DC Distribution Line based on the Fault Current Limiting Control of DAB Converter
Authors: Qian Yang , Zhang Jinhua , Di Ya , Wang Chenqing 
Published: May 2023

Abstract
In the DC distribution network, the ability of the converters to withstand overcurrent is very poor. When a fault occurs in the DC line, the converter protection and line protection cannot be easily coordinated, making it difficult to ensure selective fault removal. This paper investigates protection for the DC distribution line connected with the DAB converter. First, a fault current limiting scheme for the DAB converter using phase shifting and constant current control is proposed. Then a protection scheme for the DC distribution line based on the similarity of the fault currents flowing on both sides of the line is proposed. The effectiveness of the fault current limiting control scheme and the protection scheme is verified in PSCAD/EMTDC simulation.
Short-circuit Current Engineering Calculation Method Considering Crowbar Operation Priority Degree of DFIG
Authors: Su Yinsheng , Tu Sijia , Xu Guanghu , Zhao Ligang , Yao Haicheng , Huang Guanbiao , Li Bao 
Published: May 2023

Abstract
When fault occurs in high wind power proportion grid, the control strategy and external characteristics of the wind power plant are affected by voltage drop of grid, so the traditional short-circuit current engineering calculation is difficult to converge. A short-circuit current engineering calculation method for high wind power proportion grid, considering grid node importance evaluation and crowbar protection of DFIG(double-fed induction generator), is proposed. This paper proposes the external equivalent model of the DFIG when fault occurs in grid, considers voltage drop degree and node importance indexes, and determines the weight of each index through Delphi method. The DFIG crowbar operation priority is evaluated to ensure the successful convergence of calculation and the maximum voltage support of wind power plants. The study case shows that proposed method is superior to the traditional method.
A Probabilistic Modeling Method for Joint Output of Multi Energy Combined Generation System
Authors: Xu Min , Zhang Zhongdan , Cui Yan , Wang Tao , Yang Zhen , Wei Zhanhong 
Published: May 2023

Abstract
Existing methods cannot accurately establish the joint output probabilistic model of the Wind-PV-CSP multi-energy complementary generation system. Therefore, based on the analysis of the correlation and complementarity among wind power, PV, and CSP output, a method of establishing the joint output probability model of Wind-PV-CSP multi-energy complementary system by using Copula theory and Gaussian mixture model is proposed. Considering the operational history data of wind power, PV, and CSP, the Copula function based on the correlation between PV and CSP output is adopted to establish the probabilistic model of CSP-PV combined output. Moreover, the probabilistic model for the joint output of PV-wind power generation is set up using the mixed Gaussian model based on the complementarity of wind power and PV output. Subsequently, based on the probabilistic models for the combined outputs of wind power-PV and CSP-PV, the probabilistic model for the combined output of wind power-PV-CSP mixed Gaussian model was established. Moreover, three evaluation metrics-the Nash efficiency coefficient (NSE), root mean square error (RMSE), and Euclid coefficient, are used to judge the quality of the model. The operational history data of CSP-PV-wind power in Jiuquan high proportion renewable energy base is taken as examples; the simulation results verify the validity and usability of the proposed method.
Research on Preparation and Luminescence Properties of Tm3+ -doped Glass Ceramics Containing NaLa(MoO4)2
Authors: Jia Wentao , Wang Jingjing , Ling Hongran , Yao Guanpeng , Chen Zhe , Gong Tang , Xu Guangyi , Kou Xiaoyong 
Published: May 2023

Abstract
In the world of light-emitting diodes, Tm3+-doped glass ceramics are a crucial fluorescent material. In this study, melt-crystallization was used to create glass ceramics that were Tm3+-doped and included crystalline NaLa(MoO4)2. X-ray diffraction (XRD), scanning electron microscopy (SEM), transmittance, and photoluminescence spectroscopy were used to examine the structure, morphology, and luminescence characteristics of glass ceramics (PL). According to the findings, keeping the precursor glass at 660 °C for two hours produced microcrystals with an average size of 280 nm. Also covered is how the concentration of Tm2O3 doping affects the luminous characteristics of glass ceramics. The strongest blue light is produced at 454 nm (1D2→3F4) when Tm2O3 concentration is 0.8 mol%. The findings demonstrate that Tm3+-doped glass ceramics containing NaLa(MoO4)2 crystalline phase have promise for use in the area of color displays.
Improving the Electrochemical Performance of Fluorinated Carbons by Solvent Co–Intercalation for Rechargeable Na–Ion Battery Cathodes
Authors: Chen Pengyu , Niu Xiaobin , Wang Liping 
Published: May 2023

Abstract
CF
x
deliver the ultra-high theoretical specific capacity. Nevertheless, its solvent co-intercalation for rechargeable Na–ion battery cathodes has lacked investigation. Here, we explored the co–intercalation behaviour with 1 M NaPF6 in PC or FEC for various CF
x
and found that 1 M NaPF6 in FEC is conducive to solvent co–intercalation in the extended discharge voltage window to 1.0 V. Among them, F-CF0.88 cathodes present a discharge-specific capacity for the first time of 1094 mAh g−1, which keeps a stable rechargeable specific capacity of 344 mAh g−1. This improved rechargeable behaviour is connected with the solvent co-intercalation. And the reason is that the solvation energy of fluoroethylene carbonate (FEC) is larger and easier to embed. Our study offers new ideas and a deep understanding of solvent co-intercalation of CF
x
as Na–ion rechargeable battery.
Study on Effect of Tempering Temperature on Microstructure and Properties of Super Martensitic Stainless Steel Welded Joints
Authors: Liu Yunqi 
Published: May 2023

AbstractThe ultra-martensitic stainless steel ZG06Cr13Ni4Mo, due to its excellent corrosion resistance, good tensile property and excellent weldability, is widely used in many occasions of hydropower, thermal power, and nuclear power, especially as the preferred material for pump impeller. This type of steel has good weldability due to its low carbon content, but the low content of reversed austenite in the weld will lead to poor plastic toughness of the welded joint. The effect of different tempering processes on the microstructure transformation and mechanical properties of welded joints of ultra-martensitic stainless steel was studied. The 20 mm thick test plate was MIG welding and then tempered at 560 °C, 600 °C, and 640 °C for 2 h. The results show that after increasing tempering temperature, the microstructure gradually decreases from the base metal to the weld and gradually transforms from lath martensite to tempered sorbite; When tempering at 600 °C, the microstructure in the weld is the finest, and the size of grain size is 0.274 μm. The highest content of reversed austenite is 9.39%; In the welded joint, compared with the untempered joint, the hardness of the welded joint area decreases after tempering, and the tensile strength first decreases and then increases. The yield strength and elongation gradually increase.
Vancomycin-gingerol encapsulated niosomal formulation against carbapenem-resistant Klebsiella pneumoniae
Authors: Karbalaeiheidar Hamideh , Ashrafi Fatemeh 
Published: May 2023

Abstract
Alternatives to conventional antibiotics are critical in light of the increasing prevalence of antibiotic-resistant bacteria, posing a serious threat to humanity and imposing a financial burden on the community. The current study aimed to develop a Vancomycin (Van) and Gingerol (Gin) co-encapsulated in a niosomal (Nio-Gin/Van) formulation and to assess the optimized formulation as a potent antibacterial agent against carbapenem-resistant Klebsiella pneumoniae (CRKP) strains. The prepared Nio-Gin/Van was characterized via scanning electron microscopy (SEM), transmission electron microscopy (TEM), and dynamic light scattering (DLS) and Fourier-transform infrared spectroscopy (FTIR) techniques. The F4 formulation was selected as the optimal formulation due to its low polydispersity index (PDI) (0.221 ± 0.023), small size (222.8 ± 6.35 nm), and suitable entrapment efficiency (EE%) (83.73 ± 1.12 for Gin and 66.25 ± 1.34 for Van). The Nio-Gin/Van had a sustained drug release up to 72 h and posed great stability to 60 d at 4 °C with low alterations in size, PDI and EE%, which introduced it as an appropriate candidate for medicinal utilization. The antibacterial activities of Nio-Gin/Van against CRKPs isolates were investigated using a MIC assay, which revealed MIC values of between 7.81/100–125/100 μg ml−1. Microtiter-plate assays and real-time polymerase chain reaction (PCR) were used to evaluate the antibiofilm properties of Nio-Gin/Van. A microtiter-plate assay indicated that approximately 53% of 15 CRKP isolates (n = 8) produced strong biofilms, while 26.6% (n = 4) produced moderate biofilms. Additionally, real-time PCR analysis revealed that Nio-Gin/Van significantly reduced the expression of the fimH, blaKPC, mrkD, and Ompk36 genes in all CRKP isolates examined. It was concluded that encapsulating Gin-Van in niosome enhances their antibacterial and antibiofilm activity against CRKP strains and these preparations could be considered as a novel strategy for targeted drug delivery.
A Review of Intelligent Scenes Design in Underground Pedestrian System
Authors: Teng Xiao , Shen Zhenjiang , Ge Tianqi , Lei Ruolan 
Published: May 2023

Abstract
Underground pedestrian system is an important part of urban public space and one of the key areas to ensure and enhance the vitality of the city centre. Various types of smart devices and sensors provide the possibility to create a safer, more comfortable, and smarter space to arouse a series of research topics such as energy saving and adjustment design of the characteristics of underground space. In order to better analyze the intelligent scene in the underground pedestrian system, The paper starts by discussing the relationship between the needs of pedestrians in underground space and relevant research and cases on intelligent underground space in recent years, and then extracts related functions and devices, to form the main intelligent scenes in underground pedestrian system. In our literature and case studies, we found that intelligent scenes in underground space are ubiquitous, generating various functions for different needs, so this paper is divided into four main types of scenes to discuss. On the whole, there has not too much research about the intelligent scenes of pedestrians in the underground pedestrian system, but smart devices still have great potential in improving the quality of underground space. Our paper aims at providing the summarize the smart devices and intelligent related scenes in underground space
Daylight optimization in a hypothetical classroom using single-objective optimization methods: Case study in Lhokseumawe, Indonesia
Authors: Effendy Ethan Josiah , Hakim Fahmi Nur , Atthaillah  , Mangkuto Rizki A. , Koerniawan Mochamad Donny , Ramadhani Dhafira 
Published: May 2023

Abstract
This study evaluates and optimizes daylighting performance in a hypothetical classroom located in Lhokseumawe, Indonesia. The classroom daylighting performance is represented by the metrics aUDI250-750lx, sDA300/50%, and ASE1000,250. Under the baseline conditions, poor daylighting performance was revealed as indicated by a low aUDI250-750lx value and a high ASE1000,250h value. To obtain good daylighting performance, this study utilized a computational simulation method using Rhinoceros, Grasshopper, and Honeybee Plus platforms. Optimization is conducted using Opossum with the RBFOpt algorithm. The optimization result suggests the building envelope design parameters and external shading device design which results in a better natural lighting performance as indicated by the increase of aUDI250-750lx value at about 45%, the sDA300/50% value remaining at around 94%, and the ASE1000,250h value has decreased by 14% compared to the baseline condition of the classroom.
Socio-Ecological Adaptation Of The Kaili Rai Community Settlement In Taripa Village, Sindue District
Authors: Timbang Gator , Malik Sutrati Melissa , Salhudin  , Fernanda  
Published: May 2023

Abstract
The multi-dimensional natural disaster that hit Sigi and Donggala districts, Palu city, on 28 September 2018, had an impact on various aspects, including the arrangement of the community settlement. The Kaili Rai ethnic settlement that was built and has grown naturally in Taripa Village, Sindue District, Donggala Regency was unavoidable from the impact of the natural disaster which prompted them to flee from their settlement to a relatively flat place in the coastal area of Sindue District. The objective of this study is to reveal the form of adaptation of the community as settlers at the foot of Mount Sidole, Taripa Village, from a sociocultural perspective and local environmental aspects, which has implications for the sustainability of the way and system of living in new locations without significant changes compared to the situation before the disaster hit them. Research on the existence and sustainability of the Kaili Rai living system was conducted with a qualitative approach to reveal sociocultural factors, combined with a quantitative approach in order to explore and reveal environmental aspects.The findings indicate that the way and system of living of the Kaili Ethnic in Taripa Village, Sindue District is very adaptive. Such adaptation is strongly influenced by cultural and social factors with positive implications for sustainable settlements.