bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simulation and Analysis of Civil Aircraft Cabin Core Network Architecture based on Daisy Chain
Authors: Xiaoqiong Han , Xi Lu , Ruiqi Gong , Qing Zhu 
Published: June 2023

Abstract
With the rapid development of electronic technology, the application of civil aircraft cabin electronics is becoming more and more advanced. The traditional cabin core network architecture can no longer meet current cabin application requirements. Meanwhile, there are multiple of devices with duplicated functions in cabin of civil aircraft, and the number of each device with duplicated functions is very large. In order to solve the problem of repetitive deployment of a large number of devices with duplicated functions in the cabin system, the civil aircraft cabin core network architecture is proposed to adopt a two-level daisy chain network topology which has many advantages such as high robustness, high scalability and less cables. In the design phase of civil aircraft cabin core network architecture, modeling and simulation of the network architecture through simulation tools is an important means to study, predict, justify and judge the network performance. In this paper, a two-level daisy chain network architecture model with about 67 nodes for civil aircraft cabin core network is developed and the network performance of the model mentioned above is simulated through OPNET simulation tool in order to perform a trade-off analysis and evaluate the cabin core network architecture.
Research on Prediction Method of Objective Assessment of Building Acoustics Based on Machine Learning
Authors: Wan Yupeng , Zhou Yuanbo , Wen Jie , Chen Zheng , Zhao Jing 
Published: June 2023

Abstract
The purpose of this study is to predict the objective assessment of building acoustics more accurately and efficiently. In this paper, the neural network technology based on machine learning and computer acoustic simulation technology are combined to extract 10 typical characteristic parameters and 3 target parameters of 800 halls and rooms. Three matrix training sample databases are established by using Odeon platform. The reverberation time and speech transmission index are trained by BP neural network data fitting. The R results of the target parameters in this study are all more than 0.95. The MSE of the reverberation time parameter is in the range of 0.01-0.05 and the MSE of the STI parameter is less than 1 × 10−4. The results show that the neural network has good prediction accuracy, data generalization and application applicability. This prediction method can quickly evaluate the target parameters, reduce manpower and material resources, and improve work efficiency.
Design of a LDO with High PSRR
Authors: Sun Yichun , Li Jinghu , Chen Deyan , Luo Zhicong , Chen Riqing 
Published: June 2023

Abstract
One of the common ways to increase the PSRR(power supply rejection ratio) of LDO (low dropout linear regulator) is increasing the gain of error amplifier, but the stability of LDO system will also be reduced. A new high gain error amplifier is designed to push the poles inside the amplifier away from the origin, which ensures the stability of LDO system and improves the PSRR of low frequency band. At the TT process corner, the range of adjustable output voltage of LDO is 1.361~1.860 V under the simulation condition of 27 °C. When power supply ranges from 2.3 V to 3.3 V, the linear regulation rate is 238.3 µV/V; When the load changes from 0 to 20 mA, the load regulation rate is 9.6 µV/mA; At load current of 20 µA, the power supply rejection ratio of LDO is -97 dB@dc, and the phase margin of the whole circuit is greater than 66 degrees. The chip is verified in a 0.18 µm CMOS process. Setting the power supply voltage in the range of 2.3 to 3.3 V, the output voltage is stable at 1.8 V, and the error is only 1.9 mV, which is less than 0.2%.
Study on Parameters Optimization and Adaptation of Nitrogen Foam Flooding in Reservoirs with High Water Cut and High Permeability
Authors: Zhang Yu , Li Binfei , Wu Yizhi , Song Zhichao , Lu Teng , Zhang Mengyuan , Zeng Xianghui 
Published: June 2023

Abstract
Most oil reservoirs in China have entered the stage of high water cut. Affected by the heterogeneity of the reservoir, the water flow dominance channel is easily formed between injection-production wells in the plane direction of such reservoirs, and the phenomenon of water channelling is intensified. Therefore, a numerical simulation study of nitrogen foam flooding is carried out in this paper. According to the reservoir characteristics of the target block, the adaptability of nitrogen foam flooding to reservoirs in the ultra-high water cut stage is studied, the parameters of injection and production are optimized, and the applicable limits of nitrogen foam and the sensitivity of reservoir parameters are analysed. The optimization results of foam flooding indexes obtained through numerical simulation are as follows: the injection method of nitrogen foam is a mixed injection, the injection volume is 0.3 PV, the injection rate is 200 m3/d, the concentration of foaming agent is 0.5 wt%, and the gas–liquid ratio is 1: 1. The results show that for high-water-cut reservoirs, nitrogen foam flooding technology can effectively improve the water flooding effect of reservoirs and enhance oil recovery. It exhibits excellent adaptability to such reservoirs and has a very board application prospect. The results of numerical simulation optimization can provide theoretical guidance for field applications.
Overall Design and Power Generation Calculation of Photovoltaic System in Shanyin meteorological station
Authors: Li Jiangman , Wang Xiaoli , Shen Jianlin , Xu Junjie 
Published: June 2023

Abstract
Based on the data of Shanyin meteorological station and Solargis database, this paper evaluates the local solar energy resources, and carries out the overall scheme design and power generation estimation of the feasibility study stage of the 50MW photovoltaic power generation project in Shanyin county. After analysis, it is proposed to select crystalline silicon solar modules for the project. The specification of polycrystalline silicon solar modules is 305wp, and the specification of monocrystalline silicon solar modules is 315wp. It is recommended to adopt fixed installation for the photovoltaic module array. In addition, the component support of the project is fixed with an installation angle of 35°. 500mx inverter is selected for the project because of its high cost performance ratio. Based on the above work, the total power generation in 25 years is calculated.
Simulation Research on Control Strategy of Ocean Buoy Wind-Light-Diesel-Storage Integrated Power Supply System
Authors: Mao Qingyang , Dou Yinke , Yu Miaoyuan , Qin Jintao 
Published: June 2023

Abstract
Ocean buoys are important hydrometeorological collection equipment in marine scientific research activities, but because they are far away from land, there is a problem of insufficient energy supply. In view of the large amount of data transmitted by large buoys and the high energy consumption of equipment operation, this paper proposes a control strategy for a small-scale wind-solar-diesel-storage power supply system. In addition, the vibration of the buoy under the waves and the influence of the high temperature in the cabin on the diesel engine is analyzed so as to optimize the control strategy, and finally, use Matlab/Simulink to simulate the feasibility of the control strategy.
Research on Optimal Operation of Low Carbon Rural Microgrid Integrated with Optical Storage and Charging
Authors: Yang Chenjun , Meng Tao , Ma Haiyang , Qi Shiwei , Jia Zhonghua 
Published: June 2023

Abstract
With the huge consumption of fossil fuels leading to increasingly serious environmental pollution, new energy has been vigorously promoted in China. And solar energy is the energy focused on development. Aiming at the impact of photovoltaic (PV) on rural microgrid consumption due to its volatility and randomness, and in response to the national policy of developing new energy EVs. Taking into account the constraints of various energy conversion, storage, transmission devices, and system balance constraints, the paper proposes an optimal operation control strategy for a low-carbon rural microgrid based on time-sharing price (TSP) and integration of optical storage and charging. Combined with the actual power consumption and time of use price, simulation analysis and verification are carried out.
Research on Heat Dissipation Performance of Eco-friendly Gas insulated Transformer with i-C4F7N/CO2 as the Insulation Medium
Authors: Wu Yuewei , Ding De , Bai Xiaochun , Lv Pinghai , Yu Xiaobing , Lei Yuhang 
Published: June 2023

Abstract
Generally, the thermal conductivity of gas insulation medium is generally worse than that of liquid insulation medium. The heat dissipation problem is the key to developing large-capacity gas-insulated transformers. The traditional SF6 gas-insulated transformers are facing the challenge of upgrading and updating due to the strong greenhouse effect of SF6. As an ideal substitute gas for SF6, i-C4F7N/CO2 gas mixture is used as a new insulation medium to develop eco-friendly gas-insulated transformers. In this work, we described the structure and parameters of 10 kV GIT and measured the temperature and pressure by mounting sensors in different parts of 10 kV GIT. Further, we analyzed the heat dissipation performance of the Transformer based on the pressure and temperature data. The results show that the GNAN cooling mode may not be applicable to eco-friendly GITs with large capacities and high loads.
Day-ahead multi-objective optimization of CHP unit with heat storage considering flexibility
Authors: Tang Ruoxin , Wang Peihong , Wang Qian , Wang Minli 
Published: June 2023

Abstract
Nowadays, with the growing number of renewable energy capacities, the flexibility of the energy system has become an indicator that must be considered under the impact of frequent peak regulation. However, more flexibility always means less economy. The purpose of this paper is to tackle the contradiction between flexibility and the economy in the energy system. Based on day-ahead load prediction, a multi-objective optimization method is proposed here considering the objectives of excess of power variation and operation cost. NSGA-II is used to deal with the optimization problem by forming a Pareto frontier containing all the optimized results. We take the microgrid system composed of two combined heat and power units and a molten salt heat storage tank as a case study. Two typical results that emphasize flexibility and economic indicator are analyzed respectively and compared with each other, which reduce general guidance of the operation mode’s selection.
Based on the Vasicek Model Error Analysis of the New Energy Power Generation and Energy Storage Allocation Decision Method
Authors: Chen Haiyan , Pang Weichao , Qi Fujun , Su Chao , Yu Hehe , Sun Xiaoxuan 
Published: June 2023

Abstract
New energy unit output prediction error probability characteristics analysis and decision alternatives to the system are of great significance. The conventional analytical model based on a specific analytical form is not flexible enough to describe the distribution law of the actual output of new energy, and there are errors. In order to suppress the impact of uncertainty, centralized new energy usually needs to be equipped with energy storage applications with sufficient capacity, thus affecting economic benefits. Therefore, from the point of view of stochastic process, according to a special stochastic differential equation Vasicek model, this paper gives the parameter estimation method of the new energy output model, avoids the specific analytical expression of the probability distribution, and proposes an improved energy storage allocation method based on this model. The example analysis shows that the proposed algorithm has better short-term prediction performance, which makes the decision of energy storage capacity allocation more accurate and economical.
A Simulation Study of Solar Thermal Steam Generation for Thermal Recovery of Thick Oil Based on Aspen Plus
Authors: Chen Pengfei , Chen Kang , Peng Huaiwu , Zhang Yanlong , Bawaa Baercheng , Zhao Qiuyang 
Published: June 2023

Abstract
High-temperature steam injection is a common means of thermal recovery of thick oil. Although the steam injection boiler currently used for thick oil injection can achieve fast start-stop control, the power consumption of the pump is large, and the boiler control is demanding. Besides, a large amount of fossil fuel is needed to supply the heat required for steam heating. Using solar thermal to realize the transformation of solar energy-molten salt heat energy-steam energy can effectively reduce the burning of fossil fuels and realize clean thermal recovery of thick oil. To ensure the actual demand of thermal recovery of thick oil, it is necessary to determine a reasonable steam evaporation volume and vapor phase fraction. This paper simulates a solar thermal heat exchange system for molten salt-steam based on Aspen Plus. The simulation results show that the heat load and required solar panel area of all heat exchangers rise when the evaporation volume increases. However, the superheater grows most slowly. When the vapor phase fraction at the evaporator outlet rises to 1, there is no phase change heat transfer in the superheater, and its heat load plummets to 230 kW.
Design and energy efficiency analysis of hydrogen - fueled SOFC-‘GT+ST’ combined cycle system
Authors: Cheng Yunrui , Zheng Puyan , Zhu Rui , Zhao Hang , Feng Kang , Luo Tian 
Published: June 2023

Abstract
In order to enhance electricity generation efficiency of hydrogen-fueled fuel cell gas turbine combined cycle system abbreviated as SOFC-GT system, a new combined system of fuel cell with turbine abbreviated as SOFC-GT+ST system is based on the feature of high concentration of water vapor in the anode of hydrogen fuel cell and the introduction of steam turbine, and a system model based on ebsilon software is built to compare the system under the same parameter conditions. The system model is built based on ebsilon software, and the system power, power generating efficiency, and the loss of the electricity is comparatively studied under the same parameters, and improved SOFC-GT+ST is proposed. Research results show the following: the second system, which utilizes the spent gas of cathode and anode separately, effectively utilizes the thermal energy of water vapor in the anode spent gas and improves the power generation efficiency of the system; the improved SOFC-′GT+ST The improved SOFC-‘GT+ST’ system further improves the power generation efficiency of the system by recycling the hydrogen in the SOFC that does not participate in the electrochemical reaction, which reaches 65.88%. The research in this paper provides a reference for improving.
Reactive Power Control Characteristics and Parameter Identification of PV Inverter
Authors: Cai Dongyang , Chen Gang , Jiang Chuyang , Chen Yan 
Published: June 2023

Abstract
For getting the reactive power control model parameters of PV inverters, a method was proposed to test and identify parameters of the fault model of PV inverters based on symmetric and asymmetric fault sets. Firstly, the reactive power control structure of a grid-connected PV inverter is analyzed, and the parameters to be identified are defined. subsequently, according to various types and amplitudes of voltage that may occur in course of the operation of the test system, the overall data set is obtained, and the model given by the manufacturer is comprehensively tested. Finally, according to the test results, the manufacturer’s reactive power control model was obtained, and the parameters of the corresponding PSD-BPA model are identified by the Least Square method. The correctness of test results is verified by simulation.
Adaptability of Distribution Network Electrical Topology Identification Algorithm Based on Edge Computing
Authors: Yan Ping , Zhou Yifei , Li Yiyao , Xu Jie 
Published: June 2023

Abstract
With the rapid development of the national economy, the grid scale is continually expanding. The massive data in the operation of the distribution network brings great challenges to the distribution network electrical topology identification (DNETI). Edge computing can effectively solve the problem of computing and storage pressure of the master station in the face of massive data, as well as the delay and security problems in the transmission process. For edge computing scenarios, this paper studies the electrical topology identification algorithm of the distribution network and proposes an improved KNN algorithm. The simulation results show that the identification accuracy of the algorithm is as high as 97%. For the improved KNN algorithm, this paper also designs an algorithm adaptability test to identify the adaptability of the algorithm to software and hardware environment requirements. The results show that the algorithm has passed the software and hardware adaptability evaluation.
Research on Open Circuit Fault Location and Fault Tolerant Control of Inverter Power Transistor
Authors: Li Cheng , Gao Haibo , Gong Lei , Dong Xiaoyu , Dai Jian 
Published: June 2023

Abstract
As the key equipment of power conversion, the stability of the inverter directly affects the working state of the equipment. Aiming at the open circuit fault of the power tube, this paper designs a fault diagnosis and fault tolerance scheme of a three-phase bridge inverter based on the current signal. Firstly, the amplitude and phase characteristics of the current vector are used to judge the fault and fault location of the power tube. Then the output fault characteristic signal is converted into a fault-tolerant control signal. The fault leg is switched into a fault-tolerant leg under fault-tolerant control of the inverter bridge. The simulation results show that the diagnosis method proposed in this paper can judge the health and fault status of the inverter with high accuracy and achieve fault tolerant control, improving the stability of the inverter.
Intelligent Operation Maintenance Strategy for Modular Substation Based on Fault Tree Method
Authors: Yang Zheng , Liu Jun , Mu Hong , Jin Xingfu , Zhang Jinfeng , Lin Ying 
Published: June 2023

Abstract
Modular substations meet the development trends of the power transmission system. However, the operation maintenance strategy for the modular substation is still lacking. Herein, an intelligent operation maintenance strategy for the modular substation is proposed based on the fault tree method. After rating the state of components in the equipment, the state of the equipment is obtained. Subsequently, by analyzing the relationship between the equipment and modules in the substation, a fault tree model is established to calculate the risk value of each module. Eventually, based on the proposed operation maintenance time model, the optimal operation maintenance cycle of each module under different states is calculated and the intelligent operation maintenance strategy is put forward. This paper is helpful to improve the efficiency and quality of operation maintenance for modular substations.
Power Grid Fault Diagnosis Method Based on Inception Network
Authors: Zhang Ziqi , Du Mingxuan , Wang Zirui , Zhang Xu 
Published: June 2023

Abstract
With the continuous evolution of grid intelligence, the traditional grid fault diagnosis model can not satisfied the development needs of smart grid in terms of accuracy and diagnosis speed, and how to apply the fault information provided by the supervisory control and data acquisition (SCADA) system to achieve fast and accurate grid fault diagnosis is the main problem at present. In this paper, we propose an Inception network-based fault diagnosis method, in which the alarm information of different fault types is filtered and transformed into a grayscale map as model input to avoid the interference of redundant alarm information to the fault diagnosis, and the Inception network with excellent image feature extraction capability is employed to obtain the grayscale map of the alarm information to achieve fast fault diagnosis. This method has been proven to have excellent fault-type discriminatory capability and is effective in achieving fast and accurate fault diagnosis based on deep learning algorithms.
Research on electromagnetic scattering characteristics of high voltage transmission lines considering rough surface
Authors: Zhang Tianxun , Yu Pengcheng , Zhang Xiumin 
Published: June 2023

Abstract
With the continuous construction of the UHV power grid in China, the electromagnetic scattering of electromagnetic waves from random rough surfaces will have a certain impact on the passive interference of high-voltage transmission lines. To solve the problem of solving the propagation law of electromagnetic scattering in the electromagnetic interference of high-voltage transmission lines to radio stations, this paper is based on the approximation method and moment method of electromagnetic scattering, This paper explores the influence of lossless rough surface and lossy rough surface on the passive interference of high-voltage tower line, focusing on the influence of sea level and dielectric constant of seawater on the electromagnetic scattering characteristics of the target under the sea background, and obtains the general law.
Online Monitoring Method of Medium Voltage Energy Meter Based on Load Characteristic
Authors: Gao Chen , Lin Hua , Zhan Shi-an 
Published: June 2023

Abstract
There are some problems in the operation state of online electric energy meters, such as monitoring blank spots and loss caused by inaccurate measurement, which will reduce the economic benefits of power grid enterprises. This paper presents an online monitoring method suitable for the medium voltage side, which determines whether the voltage at the low voltage side of the transformer changes with the load and conforms to the external characteristic law of the transformer. The measured data collected by the metering device are used to calculate the voltage value of the first three-phase line at the operation of the transformer area. The three-phase balance rate and voltage fluctuation rate are used as multi-objective functions to solve the correction coefficient of current deviation.
Power Supply Enterprise Electricity Charge Centralized Accounting System Based on MVC Architecture
Authors: Zhang Siyu , Xu Jinglong , Yu Jinghe , Qian Yi , Yang Qixuan , Liu Haiyang 
Published: June 2023

Abstract
The continuous expansion of the scale of power users has brought tremendous pressure to the accounting of electricity charges. Faced with this situation, to ease the workload of electricity accounting, a centralized electricity accounting system for power supply enterprises based on Model View Controller (MVC) architecture is studied. With the help of the MVC architecture pattern, the three-tier framework of the electricity fee accounting system is designed. Sql server 2008 is applied to design the system database, including the establishment of E-R diagram and the design of the data table. There are two core functional units in the system: the power consumption statistics unit and the electricity accounting unit. The former unit obtains the power consumption data of users, and the latter unit completes the centralized accounting of electricity charges combined with the unit price. The results verify that under the designed system, the average absolute error of the user’s electricity charge reaches the relative minimum, which indicates that the accounting quality of the system is higher.