bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis on the Effect of the Uncertainty of Outside Power on the Equilibrium of Joint Energy and Reserve Market
Authors: Zhu Bingquan , Lin Kaiying , Zhao Nan , Li Jihong , Xiao Yanwei , Wang Beibei 
Published: June 2019

Abstract
As a major way to consume new energy, energy transmission across provinces and regions has increased rapidly in recent years. It is of great importance for the construction of the spot market to study the impact of different uncertainty of the outside power on the joint energy and reserve market. Firstly, this paper establishes a joint energy and reserve market equilibrium model that takes into account the uncertainty of the outside power which leads to additional reserve demand. Secondly, a game equilibrium algorithm is proposed to solve the market final equilibrium. The simulation results show that the uncertainty of the outside power will not only reduce market efficiency but also damage the interests of the outside new energy generator itself.
Research On Neural Network Quality Prediction Model Based On Genetic Algorithm
Authors: Li Xia , Dai Yiru , Cheng Jin 
Published: June 2019

Abstract
In industrial production process, it is difficult to predict product quality in advance. Traditional prediction methods are mostly based on complex mechanism models, and the prediction accuracy is not high. This paper uses the historical data of industrial production to forecast, constructs the quality prediction model of neural network, and uses genetic algorithm to optimize the network parameters, so as to avoid the neural network falling into local optimum. This paper takes the data of hot rolling production line as an example and adopts the method to predict the quality index of steel plate. The simulation result shows that the quality prediction model of neural network based on genetic algorithm has better prediction ability. This method has important theoretical value and practical significance for production workers to improve product quality.
Study on Heat Transfer characteristics of Fluid-solid Two-phase Flow in a spiral slice inserted Tube
Authors: Shu Mengmei , Qing Defan , Chen Zhuo 
Published: June 2019

Abstract
The heat transfer performance of the liquid-solid two-phase flow in the heat transfer tube with spiral slices insert was analyzed. The influence of the pitch of the spiral piece, the height of the spiral piece and the volume concentration of the solid particles on the heat transfer and the resistance of the tube was simulated by Fluent software. The results show that the heat transfer performance of the tube in which the spiral piece is inserted and passed into the solid particles is superior to that of the smooth tube. And the heat transfer enhancement is up to 55.48% compared with the smooth tube. The heat transfer tube enhances heat transfer accompanied by an increase in resistance. The values of the comprehensive evaluation indicators are all greater than 1. The comprehensive heat transfer performance of the tube is significantly enhanced.
The Grid Voltage’s Asymmetrical Fault Detection Method based on Variable-Step LMS Adaptive Notch Filter Algorithm
Authors: Wang Yifan , Wang Shuhong , Zhang Ailing , Wang Jingxuan 
Published: June 2019

Abstract
For wind turbine systems (WTS), the grid voltage fault detection algorithm determines the response speed of WTS to grid voltage fault. This paper proposed a sort of voltage asymmetrical fault detection method, to detect negative-sequence component in grid voltage, variable-step (VS) least mean square (LMS) adaptive notch filter (ANF) is applied to eliminate the 2nd-harmonic frequency component. The application of ANF can separate negative-sequence component from grid voltage, therefore the voltage asymmetrical fault can be detected; the self-tuning of controllable parameters of ANF can be realized by the LMS adaptive algorithm, which is convenient and efficient in practical application; furthermore, because the variable step size adjustment is adopted, the contradiction between convergence rate and steady-state error of ANF can be solved. The MATLAB/Simulink simulation and FFT analysis results are in conformity with the theorical analysis, which proves the feasibility of the method.
DC magnetic bias suppression strategy for series transformers in dynamic voltage restorers
Authors: Wang Ziang , Meng Runquan , Sun Zhi 
Published: June 2019

Abstract
In actual engineering, the dynamic voltage restorer is mainly used to protect the load from the voltage drop of the grid, and is inserted between the grid and the load through the series transformer. The dynamic voltage restorer (DVR) can easily cause DC bias and generate magnetizing inrush current at the beginning of compensation voltage drop. This is also a common problem in DVR engineering applications. The usual way to solve this problem is to design the transformer core to twice the rating, but this will greatly increase the size and cost of the transformer. In order to ensure the safe, reliable and stable operation of the DVR and reduce the cost and volume of the transformer, it is necessary to suppress DC bias of the transformer. Based on the principle analysis of the DC bias generation in series transformers, a DC bias suppression strategy was proposed to control the amplitude of the first half of the output voltage of the DVR. The DVR system model was built in Simplorer, Matlab and Maxwell for co-simulation, and the effects before and after the DC bias suppression strategy were compared.
The demand and proliferation for electric vehicle charging stations
Authors: Liu Fangyu , Zhao Zhengpeng , Xu Jiacheng 
Published: June 2019

Abstract
Because of the renewable nature of electric energy, many countries have begun to develop the electric vehicle industry and achieved remarkable results. After conducting an investigation into the field of EVs (Electric Vehicles), we analyzed the basic situation, quantity, development status and government policies of the EVs nowadays. Based on the analysis of the charging stations and EVs, a model was set up for the corresponding charging station construction programs and promotion methods, for the purpose of predicting future trends. Based on the knowledge of complex networks, we discovered that the overall development of EVs resembles the global spread of viruses. We use the model to give a time forecast of the complete conversion from gasoline vehicles and diesel vehicles into EVs in each country.
Study on the Optimal Configuration Strategy of Photovoltaic and Energy Storage in Distribution Network
Authors: Zhu Jiawei , Jia Yanbing , Xie Dong , Luo Gang 
Published: June 2019

Abstract
Aiming at the scenario of joint optimization of distributed optical storage in distribution network, this paper takes the maximum net profit of optical storage system as the goal. At the same time, this paper considers the high cost of energy storage battery, and combines the load characteristics, the energy storage operation characteristics and China’s electricity price policy to construct the optical storage system investment income model. On the basis of satisfying the power balance and the performance constraints of the energy storage battery, an optimization model considering the net profit of the optical storage system is established, and the YALMIP toolbox and CPLEX program are used to solve the problem in MATLAB. Finally, the results of the energy storage configuration are tested in the IEEE-33 node system. The test results prove the effectiveness of the optical storage joint optimization configuration strategy based on the net profit of the optical storage system as a technical indicator.
New Presentation Method of Human-Machine-Interfaces for EMS
Authors: Huang Xiaoyun , Huang Andi 
Published: June 2019

Abstract
Power demand is constant increasing, so power networks are push to the operation limits. Traditional presentation of SCADA/EMS HMI(Human-Machine-Interface) is not more suitable to this situation. Various technology such as AI base alarming, dynamic coloring, contour, map based diagrams, new presentation methods are purposed. New method for indication and measurement alarm processing, measurement presentation, topology presentation, risk assessment presentation, KPI presentation, map based presentation are implemented. Through these presentation techniques, the operators can comprehend the system information easily and more accurate, then more proper action can be promptly taken to ensure the power networks operate more safely and more economically.
Technical and economic analysis of the coupling of optical axis heat supply and thermal storage peaking of 200 MW unit
Authors: HE Xiao-hong , Gao Xin-yong , Wang Hong-shi 
Published: June 2019

Abstract
Based on two 200MW three-cylinder and three-exhaust steam condensing units, the economic analysis of the unit connected pipe extraction, optical shaft heating and heat storage technology is carried out. Through these analyses, the coupling of the Optical shaft heating and the heat storage technology can not only give full play to the heating capacity of the unit, but also realize the “thermoelectric decoupling” and improve the flexibility of thermal power. Under certain external heat load demand, the power generation load can be reduced to 88MW when optical axis heating (only 44% of rated load). Besides, there is an optimal combination scheme. The annual policy subsidy is up to 424 million Yuan and the investment recovery period of the project is 5.6 years. The economic benefit of this project is obvious. It is recommended that the technology be applied to areas with a peak grid subsidy policy.
Coordinated Speed Planning Strategy of Scraper Conveyor and Shearer Based on Scraper Conveyor Loads Analysis
Authors: Wang Yanping , Wang Shaoying 
Published: June 2019

Abstract
In order to improve the loads stability of scraper conveyor, an integrated coordinated speed planning strategy of scraper conveyor and shearer based on scraper conveyor loads analysis is proposed to avoid impact of large load fluctuation to continuous and efficient production. The scraper conveyor loads analysis is provided as foundation of the research. Multi-objective optimization model and particle swarm optimization (PSO) algorithm are introduced and processing method based on multi-objective PSO for speed planning is established. Furthermore, a simulation example is presented and the results indicate the proposed method is outperforming traditional speed set mode. Finally, an application experiment in ground simulated fully-mechanized face is demonstrated the practical effect.
Research on Evaluation Index System for Power Market in China
Authors: Su Yang , Li Ma , Menghua Fan , Yanyuan Qu , Zechen Wu , Xiaoxuan Zhang 
Published: June 2019

Abstract
Since the 9th document issued by the Government, China’s power market construction process speeds up. It is necessary to build a quantitative electricity market analysis and evaluation tool for power market design, operation, supervision and decision-making of market participants. This paper studies the tools and methods of electric power market evaluation under the situation of electricity system reform in China, and takes the influence on power industry development and various related groups into account. The main evaluation indexes include promoting the optimal allocation of resources, promoting the sustainable development of power industry, market efficiency, and orderly operation of the market, impact on related groups.
Conducting Polymers Based Composite Electrode Materials in Supercapacitor Application
Authors: Ma J , Su D Y , Liu Z G , Jiang L , Hao J , Zhang Z J , Meng X K 
Published: June 2019

Abstract
Recently, as a new type of energy storage material, conducting polymer has attracted much attention due to its excellent electrochemical properties. We summarize research on polymer based composite electrode materials and supercapacitors. The conducting mechanism, advantages and disadvantages in supercapacitor electrodes were reasoned through extensive based on the extensive analysis of the literatures., and new trends based on conducting polymers material and capacitor development are reviewed.
The approach on joint operation of modified waste oil well and lithium bromide absorption equipment
Authors: Zheng Dayu , Feng Shengnan , Li Menglu , xiong Xue 
Published: June 2019

Abstract
The oilfield left a large number of abandoned oil wells in the exploration process, selected suitable abandoned oil wells to be transformed into geothermal wells with development value, and combined the modified geothermal wells with lithium bromide absorption equipment to produce the required steam or Cold water was used to meet the process and heating or the user’s cold demand. This is a new method of geothermal energy utilization. The method is technically feasible, economically reasonable, and has a very broad application prospect.
Research on the Cooperation-Competition Mechanism of Microgrid and Active Power Distribution Network Based on Game Theory
Authors: GU Ke 
Published: June 2019

Abstract
With the increasing of microgrid(MG) construction and grid integration, the importance of cooperation between microgrid and active distribution network is increasingly prominent. Based on the literature review of the power grid cooperation, the article analyzes the reasons and factors of cooperation between them. A general model of interactive game between MG and active distribution network is constructed to study their revenue problem, discuss the conditions for bilateral cooperation-competition between them, and explores the specific mechanism on both sides. The results show that the conditions of cooperation between the two parties need to meet the benefits of the distribution network greater than the MG; The external cost of cooperation between the two parties is positively related to the level of effort for cooperation between the two sides, and is also positively related to the degree of their cooperation; While the assets of the two parties remain in a fixed proportion, and there is a substitution effect between the externality and their own assets.
Finite element analysis of nozzle selection based on high pressure water jet technology
Authors: Song Gaofeng , Zheng Hongxiang , Wang Yining , Zheng Yangyan , Zhou Yun , Yao Bin 
Published: June 2019

Abstract
High-pressure water jet technology is an emerging type of welding joint strengthening process in recent years, which has unique advantages such as non-polluting, high efficiency, and can strengthen some complicated welds that in dead end position such as fillet welds. However, there is no supporting water jet strengthening nozzle domestically, so this paper uses the computational fluid dynamics method to simulate the internal and external flow fields of the nozzle, which is the most commonly used four conical convergence nozzles with different structure of the current water jet technology, making the flow field velocity distribution of the four nozzles and the impact pressure on the target surface compared and analysed. The results show that the impact pressure and axial speed of the conical short-line nozzle are slightly smaller than that of the conical (13°) nozzle, but conical short-line nozzle’s jet collection property and stability are superior to the other types of nozzles. Therefore, the conical short-line nozzle should be selected when the high-pressure water jet technology is utilized for welding joint reinforcement.
Modal Analysis of Rail Transit Gearbox
Authors: Hu Yunbo , Xie Yanpei , Peng Ruitao , Zhang Shan 
Published: June 2019

Abstract
Modal analysis is an important method to study the dynamic properties of structures. In order to explore the effect of prestress on the dynamic characteristics of rail transit gearboxes, in this paper, a three-dimensional solid model of the rail transit gearbox was established, and the bearing reaction force of the transmission system was obtained by multi-body dynamics method. Considering the force transmitted by transmission system through the bearing seat to the case, the prestressed modal analysis of the rail transit gearbox casing was conducted by utilizing a finite element method, and the prestressed modal of the case was obtained. The modal parameters of the model were compared with the model of the case without prestress. The results manifested that the prestress has a significant on the modal characteristics of the gearbox casing, and the prestress of gearbox casing should be taken into account when conduct modal analysis.
Simulation Research on Defect Detection of Plate Weld Based on Sensitivity Analysis
Authors: Lin Lizong , Chang Haoyuan , Zhang Xin 
Published: June 2019

Abstract
In order to improve the efficiency of traditional local non-destructive testing method in detecting the defects of large plate welds and obtain the equivalent mechanical parameters of weld defects, a method for detecting plate weld defects based on local vibration area sensitivity analysis is proposed. This method does not need to pay attention to the specific form of the weld defect, and it regards the defect as a reduction in the local Young’s modulus. A plate welding model was established in ABAQUS finite element software to simulate the detection process of different defect positions and different defect levels. The results show that the sensitivity matrix constructed with the elastic modulus of 5% change can be applied to the detection of defects with a degree of 3% to 20%. It shows that the proposed method can be used to locate and quantify weld defects with sufficient accuracy.
Research on Cooperative Lane-changing Behavior Based on System Dynamics
Authors: Zhou Xing-nan , Wang Jing-sheng , Zhu Yin 
Published: June 2019

Abstract
This research analyzed the contributing factor relating to the cooperative lane-changing behavior in the framework of system dynamics. From the perspective of traffic management, investigating data includes the current states of response toward lane-changing behavior and a series of factors related to it, in Shenzhen Traffic Police Bureau, China, in both qualified and quantified manner. In addition to that, data related to cars, drivers, environment, and weather in the same period of time were also collected. AMOS was used to analyze data, before simulating the cooperative lane-changing behavior system by VENSIM in order to explore the dynamic influence sequence of various factors on the cooperative lane-changing behavior with the change of time. The outcomes illustrate that different types and levels of traffic management tactics bring to different levels of cooperative lane-changing behavior. By using effective law enforcement and increasing the rate of personnel of learning enforcement properly and enforcement on time, etc. the cooperative lane-changing behavior can be enhanced to a different level noticeably. The evolution changing process appears periodically.
User abnormal behaviour sequence detection method based on Markov chain and SVDD
Authors: Zou Shengyuan , Chang Chaowen , Han Peisheng 
Published: June 2019

Abstract
In order to solve the problem of insufficient use of sequence information and low detection efficiency of traditional anomaly detection methods, this paper introduces Markov chain into user behaviour sequence detection, and proposes a description based on Markov chain and support vector data field ( SVDD) User Behaviour Sequence Detection Method (ASDMS), which first uses the Markov chain to accurately quantify the user behaviour sequence, then constructs the user’s normal behaviour sequence model based on the support vector data field description model, and identifies the user anomaly behaviour. The experimental results show that the ASDMS method has better performance and timeliness than the traditional abnormal behaviour detection method.
Harmonic design of piezoelectric energy harvesting device coupled with electric circuit using topology optimization method
Authors: Lin Zheqi , Wang Xuansheng 
Published: June 2019

Abstract
In this paper, a novel method based on topology optimization is proposed to design the piezoelectric energy harvester connected to the closed electric circuit. The objective function is defined as to maximize the energy conversion efficiency under harmonic dynamic loads. A finite element model which is coupled with piezoelectric-circuit is applied to analyze the piezoelectric energy harvesting systems. Combining the solid isotropic material with penalization (SIMP) method for piezoelectric, an design optimization method that optimizes the piezoelectric material layout was developed. Complex sensitivity analysis was derived and the density function of the SIMP method is updated using the sequence linear programming method. The validity of the proposed approach was demonstrated by numerical example of energy harvester design.
Research on Operational Performance Evaluation System of Urban Waste Treatment PPP Project Based on AHP
Authors: Sun Chunling , Liu Yanan , Zhang Tian 
Published: June 2019

Abstract
Based on the research status of the operational performance indicators of waste treatment projects, according to the relevant standard specifications and accounting the actual operability, this paper established an operational performance evaluation system for waste treatment projects. The constructed evaluation system covers indicators such as economic benefit, social benefit, satisfaction, ecological benefit and project sustainability. The initial data are obtained through questionnaire survey. The weight of each index is determined by AHP, combining the individual indicator status values to obtain the operational performance evaluation criteria. The established indicator system can help managers to provide project management direction, promote the optimization of funding allocation, and improve the operational efficiency of waste treatment projects.
Night curve recognition algorithm based on K-means clustering and improved Hough transform
Authors: Lin Zhiqian , Yongze Zhang 
Published: June 2019

Abstract
In order to solve the problem of poor robustness and real-time performance of existing lane line recognition algorithms in night curve recognition, a fast night curve recognition algorithm based on K-means clustering and improved Hough transform is proposed and implemented. The algorithm firstly intercepts the lower two thirds of the image as the region of interest ( ROI ), then binarizes the ROI image by using the block local optimal threshold method, and then obtains the starting point of the lane line by using the improved Hough transform. Finally, based on the starting point, the lane line in the image is calibrated by using the K-means clustering algorithm. The experimental results show that the method can detect the lane lines of roads turning at night, and is suitable for other roads at day and night, with good real-time performance and robustness.
Study on Deicing Mechanism of High-elastic/salt-storage Functional Pavement
Authors: Zhong Ke , Sun Mingzhi , Wang Xue 
Published: June 2019

Abstract
Snow and ice on pavement surface will reduce anti-skid performance between tire and pavement which will cause traffic safety problem. High-elastic/salt-storage asphalt mixture is a recently widely used functional pavement for snow removal and ice melting. In this paper, a three-dimensional finite element model of pavement structure under five different working conditions is established. Then, the pavement structure under the most unfavorable conditions can be determined through calculating and analysing for the maximum compressive strain index in the ice layer. And the sensitivity of the ice melting effect parameters including ice thickness, temperature, thickness and modulus of high elastic pavement with salt storage were respectively discussed under the most unfavorable conditions.