bluuebunny/crossref_metadata_2025_split huggingface dataset:
SoC Estimation for Lithium-Ion Battery Using Recurrent NARX Neural Network and Genetic Algorithm
Authors: Chuangxin Guo , Gen Yuan , Chengzhi Zhu , Xueping Wang , Xiu Cao 
Published: July 2019

Abstract
State of charge (SOC) is an important indicator for assessing the remaining capacity of the battery. An accurate SOC estimation is crucial for ensuring the safe operation of lithium batteries and preventing from over-charging or over-discharging in electric vehicle (EV) industry. However, to estimate an accurate capacity of SOC of the lithium batteries has become a major concern for the EV industry. In this paper, a recurrent nonlinear autoregressive external input neural network(NARXNN) model optimized by genetic algorithm(GA) is proposed to improve accuracy of SOC of lithium battery by finding the optimal value of input delays, feedback delays, and hidden layer neurons. The NARXNN based GA model is compared with the NARXNN in performance using statistical error values of mean absolute error and root mean square error are used to check the performance of the SOC estimation. The results show that the NARXNN based genetic algorithm outperforms NARXNN in estimating SOC with high accuracy.
The Power Coordinated Control of Hybrid Energy Storage System with Hydrogen Energy
Authors: Zhang Qinrui , Zhang Huijuan , Wang Xiangming 
Published: July 2019

Abstract
With the increase of new energy permeability, photovoltaic power generation is widely used, but because of its own volatility and intermittent, it will lead to uncontrollable power generation and large fluctuation of grid-connected power.Hydrogen energy is a green and efficient way of energy storage.Hybrid energy storage system combined with super-capacitor can better realize photovoltaic grid-connected.This paper established a photo-hydrogen-supercapacitor hybrid energy storage system, contained electrolyzer, fuel cells and supercapacitor, and proposed a power coordination control strategy which ensure that the DC bus voltage is stable when PV is excessive or insufficient output or not worked on the rainy days or nights. Simulation proves the effectiveness of this system, and the maximum utilization of solar energy resources is realized.
Research on Fault Diagnosis of DC Charging Pile Power Device Based on Wavelet Packet and Elman Neural Network
Authors: Jiajia Wang , Xingying Chen , Li Ji 
Published: July 2019

Abstract
In order to improve the fault diagnosis accuracy of DC charging pile power devices, a fault diagnosis method based on wavelet packet analysis (WPA) and Elman neural network is proposed in this paper. This method sampled the output voltage signal of DC bus in fault state, decomposed the three-layer db10 wavelet packet and reconstructed the single branch, then calculated the characteristic energy spectrum of the fault signal using the signal in the frequency band, and identified it by Elman neural network. In order to test the diagnostic ability of the model, the PWM rectifier model of DC charging pile is used as an example to simulate and compare with the diagnostic results of standard BP neural network. The simulation results show that the fault diagnosis method based on WPA and Elman neural network has faster diagnosis speed, higher accuracy and stronger generalization ability.
Multi-time Scale Scheduling Strategy for Power System with Large-scale Intermittent Energy
Authors: Zheng J , Zhang YY , Guo AQ , Huang X 
Published: July 2019

Abstract
Large-scale integration of intermittent energy has brought many problems to active power dispatching of the power grid, which will not only increase the operation cost, but also increase the operation risk. This paper developed a multi-time scale scheduling strategy, integrated day-ahead scheduling, intra-day dispatching and automatic generation control (AGC) system, in order to ensure the safe and stable operation of power grid. The strategy aims to minimize the sum of operating costs of power system, and sets six constraints such as power flow constraint, to analyse and optimize the dispatching process of power systems. After simulation and analysis by Particle Swarm Optimization (PSO) algorithm, the results show that the strategy has a significant optimization on the power system with intermittent energy.
A Multi-objective Non-intrusive Load Monitoring Method Based on Deep Learning
Authors: Yu Hua , Jiang Zhiwei , Li Yaping , Zhou Jing , Wang Ke , Cheng Zifeng , Gu Qing 
Published: July 2019

Abstract
Fine-grained power data are used to characterize user’s behavior in smart grid, Non-intrusive load monitoring can effectively separate the load of a single electrical appliance from the whole energy consumption of a dwelling, which is beneficial to fully exploit the load potential. In this paper, considering the relationship on usage habits among electrical appliances, the characteristics of energy consumption, we propose a multi-objective modeling method based on deep learning. The multi-objective model is constructed by CNN and LSTM, and the neural network is collaboratively optimized by multi-objective outputs. The experimental results show that the multi-objective model performs better than the other models on the five appliances, reducing the absolute error to less than 10 and the total error of the standardized signal to less than 0.1.
Research on Overvoltage Monitoring Technology for Transmission Lines
Authors: Wang Sijie , Tan Fali , Zhao Hailong , Peng Yang 
Published: July 2019

Abstract
Overvoltage is one of the important factors that cause line tripping and equipment damage. Accurate monitoring of transmission line overvoltage is of great significance for safe operation of power grid. In this paper, a transmission line overvoltage sensor based on the principle of coupled capacitance partial voltage is designed. The high voltage arm capacitance of the sensor is the stray capacitance between the sensor metal sheet and the earth, and the low pressure arm capacitance is the coupling capacitance between the sensor metal sheet and the wire. At first, the structure characteristics and sensor principle of the sensor are described, and the parameters of the sensor are calculated. The results show that the sensor has high detection accuracy and can realize overvoltage monitoring of transmission lines.
A Disturbance Source Location Method Based on the Initial Oscillation Period
Authors: Guo Siyuan , Zhang Shoushou , Zuo Jian , Zhao Yongsheng , Song Junying 
Published: July 2019

Abstract
In order to improve the accuracy and rapidity of the disturbance source location, a new method based on variational mode decomposition (VMD) for forced power oscillation disturbance source location is proposed. Using the active power and frequency of the transient phase of an oscillation, the dominant mode of electrical components is extracted by VMD. Then, the oscillation energy using the variation is calculated to achieve the disturbance source location. Taking the forced power oscillation accident caused by too strong primary frequency modulation as an example, the effectiveness and feasibility of the proposed method is verified.
Transmission Attenuation of 110kv Asymmetric Transmission Lines Based on Measured Data
Authors: Pang Songling , Tan Fali , Zhao Hailong , Zhang Meng , Liao Jian , Peng Yang 
Published: July 2019

Abstract
The characteristic of traveling wave transmission has great influence on the location precision of the fault point. In order to accurately evaluate the transmission and attenuation characteristic of actual traveling wave on transmission lines, a typical asymmetric arrangement 110kV transmission line is selected as the research object. First, the parameters of the transmission line are calculated, and the traveling wave decoupling algorithm is derived. Then, the traveling wave current collected by the distributed traveling wave monitoring system on the line is analyzed. The results show that for a short distance asymmetric 110kV line, it can be decoupled by the conventional decoupling balance line method, and the coupling component ratio is less than 2% after decoupling. With the increase of transmission distance, the attenuation degree of traveling wave increases. When the transmission distance is 60km, the attenuation of line mode is 21.2% and the zero mode attenuation is 50.4%.
Design of Ripple Power Supply for Aging Test of DC Arrester
Authors: Li Longlong , Li Guofu , Chen Mo , Li Yongliang , Liu Zhifang 
Published: July 2019

Abstract
The reliability of DC arresters is one of the basis of safe operation for HVDC transimission system, the aging test is the main measure to obtain the reliability of arresters, and therefore, is of great importance. The test voltage with ideal waveforms had not been produced before by any of the test equipment when it is loaded. The paper introduces a method to produce the aging test ripple voltage waveforms of 6 pulses and 12 pulses converter which fully considers the influence of trigger angle and commutation angle. The paper designed a kind of ripple voltage power source which can series, and produce the ripple waveform of any trigger angle and commutation angle, the output voltage of one module is up to 1kV. The device went through 1000 hours of testing, and commutation process can be seen in the oscillograph clearly, including stable commutation overshoot. The oscillograph also show that the fundamental frequency of the waveform is stable, and waveform distortion is small and can be ignored. The output voltage meets the requirements of aging test for various types of DC arresters.
Analysis of Impact of Electric Vehicle Charging Load on City Grid
Authors: Zhang Yue , Dai Xianzhong , Han Xinyang , Jin Xiaoling 
Published: July 2019

Abstract
With the rapid development of electric vehicles, increasing electric vehicle charging load will have extensive impacts on the power grid. This paper innovatively analyzed the impact of charging load on the urban power grid by taking the power grid of a large city as an example. Firstly, the scale of electric vehicles is predicted. Secondly, considering the travelling characteristics of electric vehicles, the charging load characteristics of electric vehicles in different functional areas of the city were analyzed. Finally, the impact of unordered charging of electric vehicles on urban power grid is quantitatively analyzed from four aspects, including load structure, on-peak and off-peak difference of system, distribution network utilization rate, charging facilities and supporting network construction. Electric vehicle charging will change the load structure of the power grid, reduce the utilization rate of distribution network and investment efficiency, increase the on-peak and off-peak difference of system etc.
Simulation of Potential Distribution and Leakage Current of 800kV DC Arrester under Different Degrees of Degradation
Authors: Zhang Pipei , Shi Wei , Wang Hui , Sun Jingwen , Wang Peng 
Published: July 2019

Abstract
800kV DC arrester is widely used in UHV converter stations. If long-term damp or breakdown short-circuit of the resistor is degraded during operation, the potential distribution of the arrester is unreasonable and the leakage current increases, resulting in arrester heating or even explosion, so it’s necessary to analyze and calculate the potential distribution and leakage current under different degrees of degradation. In this article, the ANSYS simulation model of 800kV DC arrester was built, which was used to calculate the potential distribution and leakage current of the arrester when long-term damp and breakdown short-circuit, and the correctness of simulation results are verified by field test of leakage current.
A Coordinate Method between the System and Bus Load Forecasting in Electricity Market Environment
Authors: Cai Qiuna , Zhang Qiaoyu , Liu Sijie , Yan Binjie , Su Binghong , Yi Jiangwen , Li Bing 
Published: July 2019

Abstract
In view of the problems such as excessive tensile load factor of nodal bus and overload of load flow section that often occur during the trial operation of Guangdong Electric Power Spot Market, the coordination mechanism between the system and bus load forecasting results is studied in this paper. Firstly, the time-sharing credibility coordination model of the system-bus is established based on the least square method, so as to achieve the goal of load balance between upper and lower grades and the minimum overall error. Secondly, the different classification of the time-sharing credibility model is studied to adapt to different kinds of situation. Finally, a province is taken as an example to verify the effectiveness of the proposed method, and the results show that it has certain engineering application value.
Research on Wind Power Participation in Electricity Market in Northeast China
Authors: Ma Xin , Liu Jicheng , Liu Qiong , Yu Linna , Li Chunshan , Wang Ge , Li Siyuan 
Published: July 2019

Abstract
In China’s current power generation plan, wind power belongs to the scope of guaranteed priority generation. But with the development of wind power industry and the promotion of electricity market construction, wind power participation in market transactions has become a trend. This paper first analyses the current situation of wind power industry under the background of electric power system reform, then introduces the situation and experience of Texas electricity market with good wind power development. According to the current situation of wind power development in Northeast China, the suggestions for wind power development are put forward and the development path of wind power in the electricity market environment is formulated.
Analysis of Dispatch Methods in Northwest Area
Authors: Wang Yanan , Wang Xiuli , Zhao Hongyang 
Published: July 2019

Abstract
The northwest area is full of renewable energy in China, and the development of renewable energy is rapid which brings great influence on the operation of power system. With the large-scale of renewable energy, it is difficult for energy consumption in the northwest provinces, and there still exists energy curtailment in all provinces. Renewable energy consumption in the northwest area is limited by insufficient demand, potential of sending out electricity, and peaking capacity. As the basis of system operation, the research of scheduling methods provides basic data and reference for all aspects of system operation scheduling. In order to further promote the consumption of renewable energy, we study the impact of different scheduling methods on the ability of renewable energy consumption. Combining with the actual data, we analyze and evaluate the scheduling methods, comparing the characteristics of each scheduling method, and studying its impact on renewable energy consumption. Combined with relevant calculations and analysis, the optimization suggestions for exploiting the potential of renewable energy and improving consumption space are provided.
Multicriterion optimization of processing of mill trunnion based on hierarchy analysis method
Authors: Bondarenko Y A , Bestuzheva O V 
Published: July 2019

Abstract
The article presents the choice of optimal method of treatment when restoring of mill trunnion based on hierarchy analysis method. The criterion for selecting optimal cutting conditions is synthesized and their relationship with processing parameters is described. Many alternatives for solving a multicriterion optimization problem are constructed, methods of processing with variable cutting conditions are proposed. Based on selected criteria, a subset of Pareto-optimal cutting conditions is found when restoring trunnion. The method of hierarchy analysis is prese000nted as a multi-criteria method of decision-making using the algorithm for assessing the degree of consistency of paired comparison matrices. The applied method of expert evaluation selects the processing parameters with a decrease in the complexity of restoration work with preservation of quality of the processed surface of mill trunnion.
Analysis of proper fluctuations of technological systems
Authors: Ershov D Y , Zlotnikov E G , Timofeev D Y 
Published: July 2019

Abstract
The article describes the principles of building dynamic models of technological systems with concentrated parameters with a finite number of degrees of freedom. Dynamic properties of technological system are considered taking into account elastic and inertial parameters of its elements. The model of three-mass torsional chain system and the model with progressively moving masses are used for estimation of vibrational processes in drives of the technological equipment. According to the proposed mathematical model the analysis is carried out and the forms of natural oscillatory movements in the system are revealed. Oscillations of zero, first and second eigenfrequencies are determined, for each of which sets of form of the coefficients are found that describe the system configuration in the process of free oscillations.
Diagnostics of the printed circuit board bus of a spacecraft autonomous navigation system with using the N-norms
Authors: Gazizov R R , Muhambetzhanova B S , Gazizov T T , Kvasnikov A A 
Published: July 2019

Abstract
The paper presents the study of the printed circuit board bus of the autonomous navigation system of a spacecraft using the amplitude criteria based on N-norms. During the study, the authors revealed the most vulnerable places on the bus by calculating the five N-norm profiles along the active conductor of the bus (in 280 segments). The results showed that the peak voltage was reduced by 6.2 % to the end of the active conductor, the signal rate changed sharply but insignificantly (within ±9.3 %) along the active conductor and reduced (by 20 %) towards its end. However, the energy characteristics of the excitation along the active conductor changed insignificantly.
Simulation of organizing and carrying out of repair for ship engineering products
Authors: Zhukov Y I , Khutornaia E V 
Published: July 2019

Abstract
To ensure competitiveness with foreign enterprises, there is a need to reduce production time and cost of ship engineering products (SEP). This paper presents data of simulation for a repair process of SEP. The aim of researching is the justification of functional and simulation using for organizing the process of repair of SEP during required time and with cost reduction. The paper uses methodology of structural analysis in two types of notations. To obtain the quantitative result, the GPSS World environment is used. The results in the form of histograms of the processes of maintenance and repair of SEP confirm the effectiveness of proposed technologies.
Oscillations of rigid block on supported base with coulomb friction model
Authors: Munitsyn A I , Munitsyna M A , Poznyak E V , Kuznetsov S F 
Published: July 2019

Abstract
The analytical solution of the problem of forced oscillation of the solid parallelepiped on a horizontal base is presented. It is assumed that the dry friction force acts on the contact line between the body and the base and the base moves harmonically in a horizontal direction. The height of the parallelepiped is assumed to be much greater than the width. Dissipation of impact is taken into account in the framework of the hypothesis of Newton. The forced oscillation modes of parallelepiped corresponding to the main resonances are found by using the averaging method. The results are shown in the form of amplitude-frequency characteristics.
Simulation thermal model of CNC machine tool operating with variable modes
Authors: Polyakov A N , Parfenov I V 
Published: July 2019

Abstract
The article presents the approach and the thermal modeling technique of CNC machine tools, implemented at the stage of operation. In the work, as a practical implementation of the fast modeling technology, a simulation method based on the Matlab Simulink application was used. In the work to build a thermal model of the machine tool, we used analytical solutions of the heat conduction equation. This method is applied to the machine tool operating in conditions of variable thermal processes due to varying cutting speeds. The conditions for the coordination of the thermal characteristics of the machine tool at their boundaries, corresponding to the changing spindle rotation speeds, determine the peculiarity of their construction. A feature of the implementation of the mathematical model is the use of experimental modal analysis. In this case, the modal parameters of the approximating functions are determined by solving the optimization problem. To coordinate the adjacent thermal characteristics at their borders, a special condition was adopted. Regardless of the number of temperature modes used in the model, the initial level of the first temperature mode for the next mode of operation of the machine tool was taken to be equal to the achieved level of the thermal characteristic of the machine tool at the last time interval of the current mode of operation.
Simulation of broad-side coupled modal filter with passive conductor in reference plane cutout
Authors: Samoylichenko M A , Gazizov T R 
Published: July 2019

Abstract
The article presents the simulation of a modal filter with broad-side coupling, having a passive conductor in reference plane cutout. The authors calculate the matrices of per-unit-length parameters L and C and investigate the influence of end terminations of the passive conductor of the modal filter. As a result, we achieve alignment and minimization of the amplitudes of the decomposed pulses and show the possibility to attenuate the input ultrashort pulse with a duration of 450 ps 4.5 times.
Structural analysis of technological processes with multivariate machining operations
Authors: Schipachev A M 
Published: July 2019

Abstract
This article addresses the issue of structure optimization for machining technological processes. A technological process typically offers multivariate operations. A choice of one option is an optimization problem. A mathematical solution of it is complicated since a number of optimization criteria can be present. However, a multivariate technological process can be presented as a directed graph. First, all paths of the graph are found and their length that correspond to values of certain optimization criteria are determined. Then the optimal path is selected (that is, the optimal technological process) by finding generalized optimization criteria and comparing them.
Application of the BigData technology for processing manufacturing data at smart factories of the Industry 4.0
Authors: Zakoldaev D A , Shukalov A V , Zharinov I O 
Published: July 2019

Abstract
The task is being studied to organize the item designing production in smart factories of the Industry 4.0 using the technology of BigData. The BigData technology is necessary to process information about the completion of theme and industrial orders. Theme and industrial orders are the sources of the industrial data at the factory. Theme orders specify the nomenclature of the products manufactured in the factory. Industrial orders specify the schedule of products and separate assembly units manufacturing. The result of the multiproduct digital manufacturing is the large amount of unstructured information that has to be processed. Processing of industrial data is conducted using specialized algorithms of BigData located in the cloud environment of a smart factory. The functional scheme of a smart factory is given to describe the components and their purpose in the level of cloud services. One cycle of a cyber and physical technological line describes the production process of a complicated item designing component.