bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the Driving Factors of Urban Electricity-Related Carbon Emissions Based on LMDI
Authors: Zhou Yanchong , Ma Yahui , Jing Haiyang , Hong Ye , Zhang Yan , Ge Yin , Yuan Yi , Zhang Xiaoqi , Hu Xuming , Ding Xiaoye 
Published: December 2022

Abstract
The electrification of energy consumption is the key to achieving the targets of carbon peaking and carbon neutrality. In order to study the main driving factors of electricity-related carbon emissions, a data acquisition and cleaning method adapted to the comparative accounting of carbon dioxide emissions from city-level electricity consumption in China is proposed. An extended LMDI model of urban electricity-related carbon emissions is proposed that comprehensively considers key factors such as population, economic output, industrial structure, power consumption intensity, and power consumption structure. Taking Nantong City as an example, the electricity-related carbon emissions from 2010 to 2020 were calculated, and the impact of each factors on the growth of electricity-related carbon emissions was quantitatively analyzed. The main conclusions are as follows: Firstly, the utilization of clean and low-carbon energy can effectively reduce electricity-related carbon emissions; Secondly, the impact mechanisms of various factors on the changes in electricity-related carbon emissions are not consistent in different stages; Thirdly, economic output and population size are the main contributors to the increase of electricity-related carbon emissions, and the power structure is the main contributor to the suppression of electricity-related carbon emissions.
Rural Electricity Demand Forecast Based on DE-GWO-SVR
Authors: Zu Wenjing , Wang Shiqian , Li Peng , Li Huixuan , Zhang Yihan , He Zhenghao 
Published: December 2022

Abstract
Rural electricity consumption is an important indicator of the development trend of rural energy. Based on the correlation analysis, rural economic development level, agriculturalization level, de-urbanization level, population size, rural residents’ consumption level, industrial structure, electricity price, and electricity consumption base are the key influencing factors of rural electricity demand. In this thesis, a differential evolution-gray wolf optimization-support vector regression rural electricity demand forecasting model is developed. The historical data of rural electricity demand in Henan Province are selected for comparative analysis to verify the effectiveness and accuracy of the combined optimization model and forecast the rural electricity demand in Henan Province during the 14th Five-Year Plan period.
Study on Distribution Characteristics of Induced Voltage and Current on Optical Fiber Composite Ground Wire of Distribution Line
Authors: Wang Qingbin , Li Danxing , Liu Ming , Lin Weijun , Huang Hui , Liang Guisen , Ye Zizhong , Huang Kaitian , Kuang Xiaoyun , Suo Siliang 
Published: December 2022

Abstract
The OPGW of the distribution line combines communication and lightning protection. During the electromagnetic coupling process among power distribution lines, induced voltage and induced current will be generated on OPGW. This threatens the safety of power operation and maintenance personnel. This paper uses the ATP-EMTP software to build the electromagnetic coupling model of a 10kV single-loop distribution line with the OPGW. Factors including OPGW grounding mode, OPGW grounding resistance, OPGW relative position, and line load are considered, and the influence of different factors on the induced voltage and current on the OPGW of the distribution line is compared and analyzed in detail. The simulation results show that the ground resistance and relative position have little effect on the induced voltage and induced current of the OPGW. Grounding mode and line load greatly influence the induced voltage and induced current of the OPGW. The simulation conclusion provides a certain theoretical basis for selecting the parameters of OPGW of a 10kV single-circuit distribution line.
Optimization Model of Electricity Spot Market Considering Pumped Storage in China
Authors: Wang Lei , Wei Min , Yang Heng , Li Jinxian , Li Sainan , Fei Yunzhi 
Published: December 2022

Abstract
As China’s electricity market continues to evolve, pumped hydro storage will participate in electricity spot market transactions. According to the latest price policy of pumped storage, pumped storage units will not participate in the spot market bidding for a long time and will be settled at the spot price. Aiming at maximizing the welfare of the whole society, this paper proposes a full dispatch model for pumped storage units to participate in China’s electricity spot market under the new power system. By transforming the day-ahead spot market clearing results into the boundary conditions of the real-time spot market, the model proposed in this paper realizes the fine adjustment of pumped storage units’ operation curve in the real-time market and further improves social welfare.
Performance Study and Assessment of Electrocatalytic Treatment of Substation Domestic Sewage
Authors: Chen Zheng , Wang Zhaoyang , Tian Ying , Li Zhengkun , Ren Zhenhua , Wang Juan , Liu Sufei , Li Ruozheng , Teng Jilin 
Published: December 2022

Abstract
In China, the power grid construction process is accelerating. At the same time, the requirements for power grid water environment management are also constantly improving. There are a large number of substations and most of them are located in the countryside and surrounded by farmland. Therefore, it is important to treat the domestic sewage of the substation to meet the relevant standards. Recently, electrocatalysis technology has attracted much attention because of its high efficiency and no secondary pollution such as sludge. However, there are few reports on the application and performance evaluation of electrocatalytic treatment of domestic sewage in substations. Therefore, the experimental research aims to treat domestic sewage in substations reaching the corresponding standard. The optimal operating parameters and comprehensive performance assessment of the electrocatalysis technology are investigated, applying iridium-tantalum, ruthenium-iridium, boron-doped diamond anodes, titanium cathodes, and carbon fiber cathodes. The results show that the application of the three anodes can efficiently treat the sewage reaching the corresponding standard, indicating that electrocatalysis is suitable for the treatment of domestic sewage in substations. Moreover, comprehensively considering cost, treatment effect, energy consumption, and reaction temperature, the composite performance of iridium tantalum anode and Ti cathode is the best. In summary, this paper provides a comprehensive study and assessment of the performance of electrocatalytic treatment of domestic sewage in substations, providing theoretical support for the water environment management of power grids.
An optimized multi-modular resonant switched capacitor converter
Authors: Li Ruishu , Chang Xiao , Han Xiaoqing , He Xin , Guo Zhuoyan , Meng Runquan 
Published: December 2022

Abstract
The switched capacitor converters have the advantages of high efficiency and high power density, which are widely used in data centers, distributed photovoltaic power generation, and other fields. In this paper, an optimized multi-modular resonant switched capacitor converter (MMRSCC) is proposed for an intermediate bus converter in the power supply system of data centers. By removing the inductance of part of the coupled resonant circuit, the converter can eliminate the influence of the parameter difference of passive components, and no additional voltage clamp circuit is needed, which improves the power density. At the same time, the half-bridge with the same switching action on the rectifier side is combined into one, which reduces the number of switching devices and is more conducive to improving the voltage conversion efficiency. In addition, the inductor of the basic unit of the resonant switched capacitor with the same state is shared to reduce the volume of the passive device, further improve the power density, and optimize the MMRSCC. Finally, the correctness of the topology is verified by simulation on the PLECS.
A Hybrid Dynamic Voltage Sharing Scheme for Series-connected SiC MOSFETs with Single Gate Drive
Authors: Ren Yuhan , Wang Jinhao , Meng Runquan , Li Tingting , Chen Juan , Zhang Taotao 
Published: December 2022

Abstract
At present, the voltage level of a commercial SiC MOSFET can hardly meet the requirements of high-voltage field. For the sake of achieving the application of MOSFETs in high-voltage fields, the method of series-connected MOSFETs has become a practical and effective solution. However, multiple series-connected SiC MOSFETs face the problem of voltage unbalance, especially dynamic voltage unbalance. Generally, the problem of dynamic unbalance could be solved using load side voltage sharing schemes or the methods of gate side. This paper uses a hybrid dynamic voltage sharing scheme for the single-driven series-connected SiC MOSFETs. That is to say, based on a sequential lagging single gate drive topology, combining active clamping circuits with RCD snubber circuits are introduced to solve the problem of dynamic voltage unbalancing of the whole module in this paper. Compared to the circuit without any dynamic voltage sharing scheme, the dynamic voltage imbalance degree of the circuit with a hybrid dynamic voltage sharing scheme is decreased to 3.75% during the switching-on and switching-off periods. The equalization effect would be verified through the simulation under clamped inductive load in LTspice.
Control Strategy for Low Voltage Ride-Through Based on Fast Protection Circuit Breaker
Authors: Wu Meirong 
Published: December 2022

Abstract
Automatic reclosing, which is the installed feeder line of the wind farm, will make the voltage drop twice when permanent faults occur in a system. It is easy to cause the wind farm to disconnect from the power grid. The control strategy for low voltage ride-through based on a fast protection circuit breaker is proposed to solve this problem. The control principle of fast protection circuit breakers applied in typical wind farm traversing scenarios is analyzed. It can improve the success rate of low voltage ride-through while voltage drops twice. Through the coordination of the fast protection circuit breaker body and the control system, the impact time of fault current in the system can be significantly shortened compared with the traditional circuit breaker. Finally, the effectiveness of the control strategy is verified by simulation in PSCAD/EMTDC environment.
Design of Embedded Intelligent IoT Terminal for Precise Regulation of Integrated Energy
Authors: Wang Jing , Zhang Xiaojian , Guo Yongshan , Yang Zhengfu , Lv Dongdong , Liu Tianji , Li Yang 
Published: December 2022

Abstract
Aiming at the problems of diverse hardware platforms, poor compatibility, single energy collection, and so on existing in the perception terminal, this paper designs and studies the intelligent Internet of Things (IoT) terminal for integrated energy precise regulation. Firstly, we build a unified hardware platform for embedded terminals, adopt the modular idea, design different functional modules by modularization, and configure different expansion modules according to the application needs, realizing the hardware modularization and reconfigurable design of intelligent IoT terminals. Secondly, to meet the needs of integrated energy service, software functions such as integrated energy data collection, energy efficiency analysis management, demand response management, and control strategy operation management are developed. Meanwhile, a novel GRU-DNN algorithm is proposed for accurate load forecasting under different conditions. Compared with other load forecasting algorithms, the GRU-DNN algorithm has better accuracy and robustness.
Improvement and Simulation of PV Power Generation Control Algorithm Based on MPPT
Authors: Sun Litong , Chang Haiqing , Mei Huaqiang , Xu Jinli 
Published: December 2022

Abstract
As the traditional PV MPPT algorithm cannot meet both the tracking speed and steady-state accuracy, a new solution idea is provided to improve the traditional conductivity increment method on basis of the slope of the PV cell output P-V curve. The algorithm dynamically changes the step size by combining duty cycle and power and exponential functions, and rapidly adapts to variation in the external environment, solving the slow tracking speed and low steady-state accuracy when the traditional conductance incremental method is subject to sudden changes in illumination. The emulation results indicate that the modified algorithm and the alterable-step increment conductivity method can be simulated in the same environment using MATLAB/Simulink software. The emulation results indicate that the modified algorithm, compared with the traditional algorithm in tracking the MPPT speed and amplitude, can effectively reduce the tracking time with high steady-state accuracy.
Research on Current Protection of Microgrid Based on Simulated Annealing Particle Swarm Algorithm
Authors: Cao Yajun , Yan Yan 
Published: December 2022

Abstract
Microgrid technology has been widely used due to its high flexibility and reliability. In the operation process, it is prone to the situation that the system stability decreases due to untimely fault removal, and the microgrid current needs to be adjusted in time. A current protection scheme based on a simulated annealing particle swarm algorithm is proposed, which improves the particle swarm shrinkage factor and combines with the simulated annealing algorithm to shorten the current rectification time in the microgrid system by reasonably configuring the load in the simulated system, and the rationality of the method is verified by simulation. In this way, the premature problem of the particle swarm algorithm is solved well.
Multi-objective Optimal Configuration Analysis of Energy Storage System in Distribution Network Based on Improved Lion Colony Algorithm
Authors: Ba Deyan , Yang Youshu , Zhang Yanxia , Song Hongfu 
Published: December 2022

Abstract
Aiming to enhance the new energy consumption capacity and lessen the impact of new energy access on the distribution network as the size of distributed power access expands annually, energy storage is being progressively incorporated into the design of the distribution network. When examining the distributed power source’s output in its entirety, the access point and capacity configuration of the distributed energy storage system are carried out, and the energy storage system’s best scheduling is also considered. The goal is to conduct research on the optimization of the two-layer model of the energy storage system using the suggested improved lion colony method. It is crucial to the expansion of the distribution network’s economic benefits.
Beidou-3 System-enabled Multi-Satellite Comprehensive Calculation Timing Method Based on Analytic Hierarchy Process
Authors: Zhao Ruifeng , Lu Jiangang , Li Haobin , Zeng Kaiwen , Zheng Wenjie 
Published: December 2022

Abstract
The large-scale access to distributed energy and massive devices puts forward higher requirements for the timing precision of power systems. With the completion of networking of the Beidou-3 (BD3) satellite system, using the BD3 system as a clock source will gradually become mainstream. The shift of timing signals from GPS to BD3 will improve national security and be of great value for improving timing precision and developing advanced application functions. In this paper, aiming at the problems such as the decrease of timing precision caused by interference in the timing signal transmission process, the BD3 system-enabled multi-satellite timing architecture is constructed, and the satellite timing precision evaluation indicator system based on the analytic hierarchy process is proposed. The multi-satellite comprehensive calculation timing method is put forward to solve the problem of low timing precision of single-satellite timing.
Remote estimation of smart meter operation error considering error fluctuation and nonlinear dynamic line loss
Authors: Wang Jun , Li Ruyi , Wang Hao , Lu Lijun , Li Mingzhe 
Published: December 2022

Abstract
Aiming at the problems of high cost, low efficiency, poor accuracy, and incomplete coverage existing in the on-site calibration operation mode of smart electricity meters, a remote estimation method of operation error of smart electricity meters was proposed by analyzing the big data under the advanced measurement system, which took into account the error fluctuation and nonlinear dynamic line loss. Firstly, the fluctuation of smart meter error was analyzed, and the remote estimation model of smart meter operation error was established by screening the electricity quantity data with similar operation states to reduce the influence of error fluctuation in the subsequent model solving. Secondly, the traditional line loss estimation method is improved, and a nonlinear dynamic line loss model is proposed to make the line loss change nonlinearly with the actual power supply so that the error estimate in the model is closer to the actual value. The results show that the proposed method effectively improves the accuracy of the operation error estimation results of smart electricity meters, helps to detect abnormal measurement points timely and accurately, and provides support for the efficient operation and maintenance of smart power grids.
Hierarchical Control Structure of DC Microgrid Based on Virtual DC Machine Control
Authors: Xue Fei , Li Xutao , Li Hongqiang , Wu Meirong 
Published: December 2022

Abstract
To cope with the problem that the existing control cannot achieve zero-error voltage track and accurate power distribution, a hierarchical control structure is proposed, in which the first layer presents virtual DC machine control, draws on the DC machine model to simulate its power regulation characteristics, and provides virtual inertia and damping for the DC voltage. The second layer control adopts distributed average consensus control, in which the energy storage units (ESU) exchange information and cooperate with each other through the adjacency nodes, so as to achieve accurate power distribution among ESU. Finally, the microgrid simulation model is built to verify the correctness of the above control strategy.
Coaxial cell printing of a human glomerular model: an in vitro glomerular filtration barrier and its pathophysiology
Authors: Singh Narendra K , Kim Jae Yun , Lee Jae Yeon , Lee Hyungseok , Gao Ge , Jang Jinah , Kim Yong Kyun , Cho Dong-Woo 
Published: December 2022

Abstract
Much effort has been expended in emulating the kidney’s glomerular unit because of its limitless potential in the field of drug screening and nephrotoxicity testing in clinics. Herein, we fabricate a functional bilayer glomerular microvessel-on-a-chip that recapitulates the specific arrangement of the glomerular endothelial cell, podocyte layers, and the intervening glomerular basement membrane (GBM) in a single step. Our perfusable chip allows for the co-culture of monolayer glomerular endothelium and podocyte epithelium, which display mature functional markers of glomerular cells, and their proper interactions produce GBM proteins, which are the major components of the GBM in vivo. Furthermore, we test the selective permeability capacity, a representative hallmark function of the glomerular filtration barrier. Lastly, we evaluate the response of our glomerular model to Adriamycin- and hyperglycemia-induced injury to evaluate its applicability for drug screening and glomerular disease modeling.
Synthesis of chitosan-Cu based bioactive material for coating catheters: in vitro cytotoxicity evaluation
Authors: Erişen Deniz Eren , Gu Guisong , Chen Shanshan , Yang Ke , Zhang Bingchun , Shen Minggang , Chen Zhaofeng 
Published: December 2022

Abstract

Background: Catheters are polymeric materials frequently used in clinics and are associated with the risk of inflammation and coagulation. The development of bioactive catheter surfaces is worth applying because antibiotic resistance in bacterial infections is common. Copper (Cu) ion coordinated chitosan (Chitosan-Cu) coatings on medical catheters, and several studies have recently approved its application. Objective: It is crucial to investigate the possible cytotoxicity of Chitosan-Cu coatings on surrounding cells. Methods: The effect of the Chitosan-Cu complex coating, proven to have bioactive activities at different rates on L929 cells, was examined by the CCK-8 test kit. In 24 h, the cell viabilities of samples, with Chitosan: Cu ratios of 10:0, 10:1, 50:1, and 100:1, were measured as 105.14%, 89.90%, 91.91%, and 100.75%, respectively. In 72 h, they were measured at 119.45%, 109.33%, 110.24%, and 114.45%. The surface morphology of the coating was characterized by electron microscopy, and the entity of the Cu ions in the coating was characterized by x-ray photoelectron spectroscopy. Conclusion: Cytotoxicity assays showed that Cu, with a maximum concentration of 10% by volume, showed no toxic behavior.
Ice resistance of hydrophobic fluoropolymerized nanostructured alumina films for antireflective coatings
Authors: Reuna Jarno , Kanter Raul , Kandelin Niklas , Kiuru Kaisa , Koivuluoto Heli , Guina Mircea 
Published: December 2022

Abstract
The functionality and durability of nanostructured alumina coatings exposed to atmospheric icing has been assessed to probe their usability in practical applications and to estimate the need for further development of the coatings. In particular, the changes in surface microstructure and in optical performance as well as in the wetting characteristics of the surfaces are reported. Without a hydrophobicity treatment the alumina nanostructures are superhydrophilic and do not endure large environmental changes. Hydrophobicity treated fluoropolymerized nanostructured alumina provides characteristics with partial anti-icing capabilities, enhanced durability, and excellent transmission levels of >95%, but the performance degrades in cyclic icing/de-icing. However, the hydrophobic nanostructured alumina outperforms both the nanostructured and planar alumina coatings and possesses increased durability and stability even under harsh conditions, such as the atmospheric icing. This indicates a clear need to use a hydrophobicity treatment for the nanostructured alumina antireflection coatings to be used in any environments. Therefore, its utilization in applications where little or occasional exposure to icing or other humidity and temperature changes is favorable over standard planar coatings. Further process optimization of the hydrophobicity treatment is still needed for better durability for cyclical icing exposure.