bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the Application of Convergence Ratio Parameter in Multi-Objective Evolutionary Algorithm
Authors: Zhang Libiao , Li Shuang , Li Chuankang , Zhang Chengqi , Zhang Bin , Ge Meiyi 
Published: March 2020

Abstract
At present, evolutionary algorithms based on Pareto domination have been extensively studied. Sorting selection method is the most effective environment selection method in this kind of algorithm, which can effectively improve the convergence of the algorithm. But this method is prone to over-convergence of the population. Based on this, this paper proposes a convergence ratio parameter, using a sort selection method to screen a certain proportion of the solution, and the remaining places are selected using a binary game strategy. In this paper, by using this parameter in the KnEA algorithm and comparing it with the original algorithm, it is proved that the convergence ratio parameter can improve the diversity of evolutionary algorithms based on Pareto domination.
Indoor image matching algorithm based on improved SIFT algorithm
Authors: Zhang Libiao , Liu Yuqing , Zhang Chengqi , Zhang Bin , Ge Meiyi 
Published: March 2020

Abstract
Aiming at the indoor positioning by using SIFT algorithm, because the structure information is more or similar, and there is no obvious identification, which will lead to low accuracy and poor applicability, this paper proposes an improved SIFT algorithm for image matching. Choosing Junction feature which is more suitable for indoor structure, and combining with the improved CPW energy function method to eliminate mismatching points. By testing the actual image to compare and analyze get the feasibility and validity of the new algorithm.
Improved GPSR routing protocol based on weight function in shipborne ad hoc networks
Authors: Li Zhao , Yin Bo , Gao MingXing , Zhao Xin 
Published: March 2020

Abstract
The network topology of the shipborne ad hoc network changes rapidly, which leads to instability of the data transmission link. Therefore, finding a stable data packet transmission link has become a hot research topic. This paper improves on the basis of the original GPSR routing protocol, and evaluates the link quality by selecting four metrics, including direction of neighbouring ship, link risk, density of neighbouring ship and proximity. The analysis results show that the improved protocol is superior to the GPSR routing protocol in terms of packet delivery rate.
Similarity study of single nucleotide polymorphism (SNPs) data
Authors: Yu Wenjun , Hu Bin , Huang Yu 
Published: March 2020

Abstract
Based on the classification of patients, the analysis of genetic data has important complementary significance for predicting the progress of patients’ diseases and subsequent treatment. Massive sequencing data provides the basis for genetic analysis. We used GAMETES to simulate single-nucleotide polymorphisms (SNPS) data, and proposed correlation clustering analysis algorithms to provide a scientific basis for understanding the consistency of clinical data and genetic data.
View-driven compressed sensing method of CT image reconstruction
Authors: Wu Lijun , Sun Fengrong , Yang Jiangfei , Yu Qianlei , He Fangfang , Yao Guihua 
Published: March 2020

Abstract
In order to significantly reducing the X-ray dose of CT examination, this study focuses on reconstructing the tomographic images from sparse projection data with sufficient accuracy. Aiming at two-dimensional (2D) image reconstruction of fan-beam projection under circular scanning, this paper proposes the view-driven system model and designs a CT iterative image reconstruction method by combining the iterative algorithm and the compressed sensing theory. The simulation results show that the algorithm has high numerical accuracy, low computational complexity, less memory overhead, and strong engineering practicability under the condition of ultra-sparse projection data (no more than 20 view angles for fan-beam scanning in the range of [0,2π)).
Analysis and Optimization of Electromagnetic Noise of Interior Permanent Magnet Synchronous Motor for Vehicle
Authors: Ye Fei , Liu Wanqiu 
Published: March 2020

Abstract
This paper takes an interior permanent magnet synchronous motor (IPMSM) of electric vehicle as the research object. Firstly, the flux density of the air gap, the electromagnetic force wave on the stator surface and the torque ripple of this motor are analysed from the perspective of electromagnetic field. Secondly, the modal analysis is carried out from the aspect of the structure of the motor, and the electromagnetic noise of the IPMSM under no-load condition and load conditions is studied from the above two aspects. Combined with the electromagnetic simulation software, the order, frequency and amplitude of the electromagnetic force wave under no-load condition and load conditions are calculated accurately. The modal frequencies and structural vibration of the stator are obtained by finite element simulation. To achieve the ultimate effect of reducing electromagnetic noise, the electromagnetic noise is optimized by slotting the outer circle of the rotor. The research provides a way to optimize the electromagnetic noise of the interior permanent magnet synchronous motor (IPMSM) for electric vehicles.
Research on power quality prediction of fluctuating load
Authors: Sun Xuri , Li Yanzhen , Shen Pengfei 
Published: March 2020

Abstract
With the development of intelligent distribution network, power quality prediction is becoming more and more important. In this paper, the power quality prediction methods are studied and applied to a power grid. Firstly, on the basis of time series research, two mathematical models of ARIMA and BP neural network are derived and analyzed, and the corresponding power quality data prediction models are established. Then, the two models are applied to two datasets of different sizes to test and analyze their predictive effects. Based on the analysis and comparison of the prediction results, the improvement direction to further improve the prediction accuracy of the method is proposed.
Analysis on the Common-mode Voltage and its Effects of a Marine SPWM Frequency Conversion Speed Regulation System
Authors: Lu Yang , Sun Guoliang , Zuo Hongwen , Xiao Hairui 
Published: March 2020

Abstract
The AC frequency conversion speed regulation technology has been used widely in the ship field for its excellent operating and control characteristics, whereas it can also bring out negative effects such as the common-code voltage on the drive system. The analysis is made on the common-mode voltage of the SPWM frequency conversion speed regulation system, including its generation mechanism, spectrum features, negative effects and suppression methods, which provides beneficial reference and enlightenment for the improvement of the SPWM frequency converter technical performance as well as the equipment maintenance and management.
Transmission network planning considering line maintenance plan with new energy resources integration
Authors: Li Xueliang , Sun Donglei , Wang Zhixin , Xu Hao , Wang Mingqiang 
Published: March 2020

Abstract
In this paper, a stochastic optimization model of transmission network planning considering annual planned maintenance of lines under new energy integration is proposed. This model combines the planning model and maintenance model together, and can determine the optimal transmission capacity of lines and the annual maintenance plan simultaneously. In addition, in order to take into account the uncertainty of wind power output, the multi-scenario probabilistic method is used, and the nonlinear constraints in the model is equivalently linearized, therefore the model can be converted into a mixed integer linear model and can be directly solved by the commercial solver. To validate its effectiveness and superiority, the proposed stochastic optimization model is tested on the IEEE RTS-24 system.
Using Energy Storage to Relief Transformer Overloading after Coal-Fire Generator Retirement
Authors: Ma Junchao , Xuan Xiaohua , Zhao Xianhe , Geng Guangchao 
Published: March 2020

Abstract
Energy storage system (ESS) is believed to be a significant source of power system operational flexibility given renewable generation with high penetration. This work reports a unique scenario of relieving the overloading of a 500kV transformer after the retirement of a coal-fire generator. ESS is proven to be an ideal solution in terms of technical feasibility and economic performance. A look-ahead operation strategy is to utilize ESS to mitigate the identified transformer overloading bottleneck. A case study using a synthetic version of Zhejiang power grid confirms the effectiveness of the proposed ESS based approach.
Intermittent energy station coordination control based on cooperative game
Authors: Hou Lei , Tian Ersheng , Ma Tao , Zhu Guodong , Zhang Zhengwen , Yang Yexin , Liu Zhe , Li Peng 
Published: March 2020

Abstract
Aiming at the uncertainty output of intermittent energy stations in new ecological energy towns, this paper proposes a risk trading scheme based on the cooperative game mode of multi-energy station main interests. Combining wind power and photovoltaic power generation through the risky electricity trading between different energy stations and take full advantage of the natural complementarity between wind and solar energy in time and region, which is expected to reduce the risk of wind power and PV forecast deviation. At the same time, in view of the different load characteristics of cold/heat/electricity and play the coordination and complementary capabilities, which can realize coordinated control of new ecological energy stations. Finally, the proposed method are verified by simulation.
Research on the placement algorithm for Ubiquitous Internet of things terminals in distribution network
Authors: Li Kemeng , Wu Zhensheng , Wang Wenlin , Zhang Xuemin 
Published: March 2020

Abstract
Placement of terminal is a crucial problem for Ubiquitous Internet of things in distribution network, which can ensure that the power system is fully observed. Based on Prim algorithm, an optimal placement method is utilized to solve the observability problem in power distribution network is proposed in this study. The method has fast calculation speed, precise and reliable results, good adaptability and low cost. At the end, the effectiveness of the established model and processing technique is verified by simulations on IEEE14-bus and 33-bus test system, which can be referred to by relevant researchers.
Single machine workpieces sorting problem with time window
Authors: Cheng Bihui 
Published: March 2020

AbstractIn the research process of sorting problem, on the one hand is the development of the diversity of solving methods, on the other hand is the continuous generation of modern problem model due to the emergence of many practical problems, the basic assumptions of the classical sorting problem has been constantly breakthrough, a large number of modern sorting problems. The problem with time window constraint is studied. The sorting of only one machine workpieces is discussed, this paper designed a 3/2-approximation algorithm, the algorithm complexity is.
Research on Non-intrusive Load Decomposition Based on FHMM
Authors: Yang Chunhui , Wu Zhensheng 
Published: March 2020

Abstract
Non-intrusive load monitoring and decomposition, as one of the important parts of intelligent power utilization system, can deeply analyze users’ internal load components and obtain user’s electricity consumption information from different scales, which is of great significance to users and power companies. In this paper, a non-intrusive load decomposition method based on factorial hidden Markov model using low frequency data is proposed. Kmeans-II algorithm is used to cluster the working state of a single load, the results of which are used to calculate the parameters of the HMM for individual load model. The total load model is represented by a factorial hidden Markov model, which transforms the load decomposition into an optimization problem with maximum probability. The improved Viterbi algorithm based on event detection is proposed to solve this optimization problem, so as to obtain the working state sequence and realize load decomposition. Finally, the correctness and practicability of the method are verified by an example.
Research on Frequency Tracking of Magnetic Coupled Resonant wireless Power Transmission System
Authors: Deng Anquan , Zhu Wu , Wang Guangdong , Song Siyuan , Zhu Yijia , Lin Na 
Published: March 2020

Abstract
In order to solve the problem that the magnetic coupling resonant WPT system with SS compensation structure causes a decrease in transmission efficiency when it is detuned, the resonant state of the system is tracked by detecting the output voltage of the transmitting coil inverter and the coil current of the receiving coil. Phase difference is converted into dc voltage signal with phase discriminator, ADC module is used to sample dc signal, PID algorithm is used to track resonance frequency of the system, 90° phase difference is taken as expected value of PID algorithm, and 90° phase shift is indirectly realized by digital method. The experiment shows that the resonant frequency tracking method is effective.
A Graphical Model of A Flywheel Energy Storage System based on Causal Ordering Graph and Energetic Macroscopic Representation Methods
Authors: Ren Jingpan , Ma Hongwei 
Published: March 2020

Abstract
Flywheel energy storage system is becoming more and more popular for its high efficiency, no pollution and low cost during the whole life-time. To study its characteristics and control methods, the model of a flywheel system is required to be established firstly. This paper built the graphical model of a flywheel system based on the Causal Ordering Graph (COG) and Energetic Macroscopic Representative (EMR) methods, which enhance the visualization and clarify the inside energy flow of the model. A typical control method of the flywheel is also derived and realized by the graphical methods. Simulation results based on Matlab/Simulink verify the effectiveness of the proposed model and its control method.
The research on simulation model and application of new energy generation
Authors: Ji Cui , Hua Siming , Zou Bingbing , Zhang Hua , Diao Chang 
Published: March 2020

Abstract
Facing the rapid development of renewable energy which is represented by wind and photovoltaic power generation, the installed capacity of renewable energy in the power system is increasing with each passing day. While the proportion of wind and photovoltaic power in the total installed power supply of the system is small, the power system is able to fully accept wind power and photovoltaic grid-connected power generation; However, when wind power and photovoltaic reach a certain scale, the intermittency and volatility of their output make their influence on the system not negligible, so it is necessary to study the acceptance capacity of renewable energy. In this paper, based on many innovative energy sources which are connected to the power grid in a certain region, the corresponding model is established, and the risk analysis of different innovative energy links correlating with the power grid and the optimization operation research are carried out.
Scenario Simplification Strategy Based on Space-time Partition in DPV Planning
Authors: Wang Meng , Li Fang , Hong Fu , Wang Shichuan , Cheng Kaiqiang , Wang Qingyan 
Published: March 2020

Abstract
Distributed photovoltaics (DPV) are the main form of power supply in active distribution network (ADN). Reasonable planning of DPV is beneficial to voltage quality and power deployment. In order to characterize the operating status of ADN, while considering the randomness of load and power, an hour-level annual time-series scenario model was established. Aiming at the space-time uncertainty of the DPV planning stage, a simplified method based on Space-time partition is proposed, and the planning model is further optimized from the perspective of grid managers. Finally, the effectiveness of the proposed method is verified in a modified IEEE 33-node distribution network system..
Research on loop closing operation of hybrid grounding system based on distribution automation
Authors: Fan Hua , Qiu Haifeng , Weng Liguo , Hong Da , Li Zhuoran , Nan Junpei 
Published: March 2020

Abstract
During the loop closing operation, excessive loop current may occur because of the amplitude and phase difference of the busbar voltage on both sides of the loop point, causing overcurrent protection or quick-break protection maloperation. This paper takes the loop closing operation of 10 kV hybrid grounding model of arc suppression coil and low resistance in Hangzhou as an example, use ATP-EMTP software to build the simulation model. The factors affecting the size of the loop current are tested, and the specific conditions for the loop closing operation are determined. The conclusions have great significances for promoting the automatic loop closing operation of 10kV distribution network. The conclusions have great significances for promoting the automatic loop closing operation of 10kV hybrid grounding distribution network.
The Design and Implementation of GPS CA Code Simulation Experiment
Authors: Hu Chuanjun , Li Tinghui , Huang Feijiang 
Published: March 2020

Abstract
The research on GPS C/A code has certain practical significance. This paper chiefly explain the principles of C/A code generation. On the basis of studying the principle of GPS pseudo-random sequence C/A code generation, the 1.023MHz C/A code is simulated to modulate and transmit 50Hz navigation message information at the frequency of L1 carrier signal. Based on the GUI interface of MATLAB, an executable program is designed. By clicking the button, the time domain diagram and spectrum diagram of navigation message signal, C/A code, L1 carrier signal, spread spectrum, modulation and noise added signal are generated, and the spectrum analysis of GPS L1 satellite signal is completed on MATLAB.
Sharpening the multispectral GF-2 imagery using the modified intensity-hue-saturation approach: the different spectral settings in comparison
Authors: Liu Qingsheng 
Published: March 2020

Abstract
The modified intensity-hue-saturation (mIHS) is one of the widely applied pansharpening approaches on remote sensing imagery. In this work, we try to compare the pansharpened images from the mIHS approach with the different spectral settings applied to sharpen GF-2 multispectral images. Visual inspection and quantitative assessments indicated that the mIHS with the SPOT 5 spectral settings was not suitable for sharpening the GF-2 multispectral imagery. There was no evidence to suggest that the pansharpened image with the GF-2 spectral settings performed over the other four kinds of spectral settings. The mIHS with IKONOS spectral settings was recommend for applications if there were not spectral settings for GF-2 data.
Study on AC loss of single solenoid type magnet for 100 kJ HTS SMES system
Authors: Li Li , Song Meng , Hu Nannan , Shi Zhengjun , Xia Yajun , Hou Dongbin 
Published: March 2020

Abstract
The second generation of high temperature superconducting (HTS) strip has the outstanding characteristics of high critical temperature, large current-carrying density and high critical magnetic field, and the HTS magnets made by the strip have broad application prospects in the field of electric power, such as magnetic energy storage system, high-speed maglev train and wind power generation system. In order to promote the further development of a superconducting magnetic energy storage (SMES) system, this paper conducts modelling and simulation research on the AC losses of single solenoid type magnet for 10 kJ SMES system. Firstly, this paper optimizes the geometric parameters of the HTS magnet in the SMES system, in which the inner diameter, turns and pancake number of the superconducting magnet are the optimization variables, energy storage is the constraint condition, and the total consumption of the HTS strip is the optimization objective. Secondly, based on the T-A method, this paper established the AC loss model of single solenoid HTS magnets and calculated the AC losses of HTS magnets and thermal-conducting copper plates during the energy storage and energy release of the energy storage system.
Mechanical Behavior of Aged EPDM Insulation of High-Voltage Cable Joints in Thermal-Oxidative Environment
Authors: Song Jun , Wang Zhao , Ji Hang , Wang Ruocheng , Zhou Yunjie , He Yunyi , Jin Haiyun 
Published: March 2020

Abstract
In this thesis, the thermal aging behaviour at 130°C, 145°C and 160°C for 220kV cable joint EPDM insulation was investigated. The tensile strength and elongation of EPDM insulation both before and after the thermal-oxidative aging were measured, and the microstructure of materials was observed by SEM. The microstructure observation showed that pores formed and expanded into pieces inside the EPDM insulation with thermal aging course, the cracks would appear at the end of aging process. Both tensile strength and elongation of EPDM insulation decreased with aging process lasting, and decreased more gradually with increasing aging temperature. The tensile strength was more sensitive than elongation for aging process. The results can provide theoretical support for the fabrication, operating and maintenance for EPDM cable joint.
The model coil manufacture and AC losses analysis of a 100-MJ HTS SMES
Authors: Li Li , Song Meng , Hu Nannan , Shi Zhengjun , Xia Yajun , Hou Dongbin 
Published: March 2020

AbstractThe second generation of high temperature superconducting (HTS) strip has the outstanding characteristics of high critical temperature, high load current density and high critical magnetic field, so the HTS coils wound by the strip have broad application prospects in the field of electric power, such as magnetic energy storage system, high speed maglev train and wind power generation system. In order to promote the further development of HTS magnetic energy storage system (SMES), this paper conducts the modelling and simulation research on the ac losses of a 100- MJ toroid-type HTS SMES. Firstly, the geometric structure of the system are introduced. Then, the ac loss models of HTS coils and the non-superconducting components in the energy storage system are established by H-formulation and A-formulation, respectively. Based on both the models, we calculate the ac losses of HTS coils and related components during the process of energy storage and release. Finally, the model coils are winded and impregnated to show the structure.
Insulation design of ±10kV bipolar coaxial HTS DC cable
Authors: Hu Lei , Dai Shaotao , Xu Ying , Cai Yuan , Ma Tao , Zhang Teng , Wang Bangzhu 
Published: March 2020

Abstract
The high-temperature superconducting cable has low loss and high current-carrying density, and has extensive research prospects in power system transmission. In recent years, the advantages of DC transmission over long distances have become more and more obvious, and superconducting DC transmission has also become a research hotspot. Bipolar coaxial DC cable has a good economy, compact structure, and greater transmission power density, but also requires higher insulation, so the insulation design is particularly important. In this paper, a 10 kV / 6000 A / 10 m bipolar coaxial superconducting DC cable with a cold insulation structure is considered. In consideration of DC withstand voltage and lightning shock, an insulation design is carried out and a type test is performed. The test results meet the cable insulation requirements.
Principles and Applications of UHF Method for Partial Discharge Detection in GIS
Authors: Xu Guangke , Yun Yuxin , Zhang Weiwei , Li Xing , Chen Lingying 
Published: March 2020

Abstract
In this paper, the causes of partial discharge in GIS and the existing detection methods are described, and signal processing and pattern recognition method of insulation defect in UHF detection method are introduced emphatically.