bluuebunny/crossref_metadata_2025 huggingface dataset:
Natural Gas Power Generation Trends from a Technological Paradigm Perspective
Authors: Luo Na , Li Meihui , Yu Xueying
Published: June 2020

Natural gas power generation is a clean, environmentally friendly use of fossil fuel. However, natural gas development has strong competition from renewable energy and at the same time, the environmental impact of methane leakages during natural gas exploitation and transportation has raised concerns as to its overall safety. Through the research of literature, this paper finds that NGPG has experienced three stages: natural gas direct combustion, combined cycle generation, and distributed generation, that is, natural gas power generation technology paradigm. At the same time, hybrid power generation is due for a paradigm shift which will ensure that natural gas development is more competitive in the future; however, for this to happen, adequate policy support is required.
Research on Gymnasium Construction Based on Green Environmental Protection Comprehensive Energy Saving Technology
Authors: Zhang Wei
Published: June 2020

In the process of rapid global economic development, people’s living standards have improved. People pay more attention to the quality of life and the role of sports activities. Therefore, the construction of urban gymnasiums will be one of the important construction activities of the city. The construction of the gymnasium can improve the functions of the city to a certain extent. It is a comprehensive systematic project. The construction of the urban gymnasium must be coordinated with the urban gymnasium construction plan, and the resources in the city must be used reasonably. The energy-saving green stadium environmentally friendly building materials were used for the project construction, and very good energy conservation and environmental protection effects were achieved, which meets the needs of society and urban development. This article mainly discusses the gymnasium construction planning of the city gymnasium, and analyzes the energy-saving design, which is of great significance to the overall gymnasium construction planning of the city.
Research on Electric Vehicle Cooling System Based on Active and Passive Liquid Cooling
Authors: Piao Changhao , Chen Tao , Zhou Anjian , Wang Pingzhong , Chen Junsheng
Published: June 2020

Compared with internal combustion engine automobile, the battery capacity and motor conversion efficiency for electric vehicles (EV) are limited, which means it requires lower energy consumption. To this aim, EV needs more complex thermal management system and higher thermal management requirements. This paper proposes an active and passive liquid cooling-based system cooling scheme. Coolant circulation’s components model and refrigerant circulation’s components model are built. The performance parameters for the components are obtained by fitting the experimental data. To demonstrate the performance of the proposed method, simulation experiments are conducted. The results show that it is feasible and robust to cool and heat the battery using passive cooling circuits in low and medium temperature environments. During critical conditions where the ambient temperature changes from 28 ° C to 32 ° C, the active and passive liquid cooling-based scheme can not only guarantee the battery operating temperature, but also save energy.
Short-term load forecasting model based on multi-model integration
Authors: Wang Hongwei , Huang Yuansheng , Shi Mengshu , Liu Shijian
Published: June 2020

Artificial intelligence and machine learning methods have gradually matured and have been widely used in short-term power load forecasting. In order to make better use of the advantages of different artificial intelligence prediction models and traditional prediction models and improve prediction accuracy, this paper proposes a short-term load prediction model based on multi-model stacking. Different from the combined prediction method, the model first uses three machine learning models, support vector machine (SVM), back propagation neural network (BPNN), and extreme learning machine (ELM) as the base learners, and uses different training data sets. Training is performed on the model, and then the prediction results of the three basic learners are used as the input of Gaussian Process Regression (GPR), and multiple models are integrated to obtain the final prediction result. In order to verify the effectiveness of the Stacking prediction model, this paper applies the short-term load data of the PJM market to this model. Compared with the three base learners, the prediction results show that the model can make full use of the advantages of different prediction models and effectively reduce Forecasting errors have practical significance for solving short-term load forecasting problems.
Application of computer-based queuing theory in public hospital management
Authors: Zhang Liyue
Published: June 2020

With the development of society, People’s medical demand increases gradually, improve the quality of hospital services without delay. This paper studies the application of queuing theory model to measure the service efficiency of public hospitals, in order to provide the corresponding theoretical basis for optimizing the service efficiency of hospitals. By using queuing theory model research method, the service efficiency of different departments was analyzed and summarized, and the reasonable plan for different departments’ location and medical resources was put forward. The results of the experiment show that departments with more patients can appropriately increase the number of medical staff, improve medical equipment and place it far from the registration hall; those with fewer patients can appropriately reduce the number of medical staff according to the actual situation Put It away from the registration hall. The queuing theory model can be used to measure the service efficiency of different departments in public hospitals, which can improve the service efficiency and patient satisfaction.
Research and Implementation of Real-Time Voice Control System based on Android
Authors: Zhang Qian
Published: June 2020

At present most of the mobile phone users must have to constantly change their mobile phone’s contextual model to adapt to different occasions in every busy life. In order to solve this problem. This paper designed and implemented the real time auto control system of mobile phone’ voice based on Android platform. The paper introduces the sound overall framework of real-time control system around three functional modules: the sound acquisition, getting sound’s loudness and adjusting ring and expounded key technology of the system in the implementation process. The result of experiment shows that the system can change ringtone loudness on the degree of noisy environment in real time and the system run reliably, meanwhile it has certain applicability and practical value.
Exploring the Training Mode of Applied Talents Based on OBE
Authors: Li Bai , Maalla Allam
Published: June 2020

Since the 18th National Congress of the Communist Party of China, education has been established with the fundamental task of establishing a person. It has promoted the transformation of local undergraduate colleges and private colleges to applied universities. Introduce OBE as a theoretical support for the cultivation of talents in applied universities, establish a life-oriented, competency-based education concept, and build a training system for applied talents. In particular, it will connect with professional groups within the social industry and summarize the corresponding professional capabilities. Construct a practical teaching system from the mode of classroom teaching, experimental training, and market environment gradient. Strengthen the integration of production and education, the institutional mechanism of school-enterprise cooperation, and simplify the evaluation of learning outcomes. Develop application talents with the ability to “innovate, creative and entrepreneurial”.
Reliability Assessment of Distribution Network with Distributed Generation based on BP Neural Network
Authors: Fan Guangkuan , Zhang Zhenyu , Tian Hao , Yang Xin , Bai Jianhua , Jia Xuefeng , Wang Yunfei
Published: June 2020

The distributed power supply is developing rapidly to realize the energy conservation and consumption reduction of the whole society. But the development of distributed generation (DG) will affect the reliable operation of distribution network. A novel reliability assessment model for distribution network with DG was integrated. A series of essential criteria can be extracted by Principal Component Analysis (PCA). And their weights can be obtained based on the entropy method. The assessment results can be calculated by applying BP neural network. Example analysis were implemented to prove the validity of the comprehensive reliability assessment model.
Assessment of the potential of photovoltaic power resources on all continents.
Authors: Li Nana , Xie Guohui , Li Qionghui , Zhou Liansheng , Gan Zhiyong
Published: June 2020

Evaluating the development potential of large-scale PV power base is of great value in supporting the construction of Global Energy Interconnection (GEI) and meeting global electricity needs by supplying clean energy. This paper analysed the characteristics of global solar resources and summarized the current status of global key large-scale PV power base. The analysis model of development potential, annual theory generation and full load hours was established based on the facts of capacity per square meter, global horizontal irradiation and geographical conditions. The development potential of large-scale PV power base of all continents was studied by applying the evaluating system of global PV power base. The results showed that the solar power development bases in Asia are mainly concentrated in western China, Israel, Jordan, Saudi Arabia, and the United Arab Emirates in the Middle East.
Wheel Based Pole Climbing Structure Built for Replacing Manpower in Hazardous Environments and Creating a Platform for Telegraph Pole Deicing and Reconstruction
Authors: Gao Haite
Published: June 2020

A common phenomenon in high latitude countries would be a hazardous environment during the winter. Electrical lights and telegraph pole are covered in ice and therefore caused trouble for workers and electrician whose job is to maintain their functions. This climb bot is expected to have various application range, primarily used to replace human workforce and reduce the injuries caused by falling from a considerable height. Scientists have been proposing various ideas of similar robots, such as inspections of vertical pipes in a nuclear power plant, or the funnel for industrial use. The robot I designed will be dealing with the telegraph pole in a metropolitan area, which froze in the winter. Currently, due to the restriction of time and material, the robot is only capable of essential climbing functions, but it is possible to add functions such as deicing and cleaning in the future. This article will further explain the design and function of the robot with statistics while giving examples of how other similar design works.
Research on air cushion suspension support system with low speed and heavy load
Authors: Zhao Xintong , Kang Jing , Lei Tianqi , Li Xiaolong , Cao Ziying , Wang Yunzhou
Published: June 2020

In this paper, cushion suspension support system of low speed and heavy loading of the gas membrane flow field was in computational fluid dynamics analysis, explore the influence of air cushion suspension of performance support system air cushion structural parameters, and the air pressure in the process of air cushion lift proportional control system for mathematical modeling, thus to control the thickness of air cushion, based on pole assignment self-tuning controller, to improve the response and stability of the system, and the system in this paper the lifting process of air cushion suspension support system are analyzed and the gas film flow state, deepening the theoretical research of air cushion suspension technology.
Design of diesel exhaust waste heat power generation device
Authors: Chen Jing
Published: June 2020

Based on the study of the basic knowledge of thermoelectric effect, the selection of thermoelectric materials, the layout of thermoelectric sheets and thermoelectric modules, this paper uses thermoelectric technology to select thermoelectric sheets suitable for the corresponding conditions, selects high, medium and low temperature sheets for different temperature environments, studies the corresponding pipe sizes, and designs diesel engine thermoelectric devices.
Quick image stitching algorithm based on template matching for Mask defect detection
Authors: Wei Hongbin , Hu Song
Published: June 2020

With the computer technology and image processing technology gradually applied to the mask detection system, computer vision detection method has become the mainstream way of automatic mask inspection. Masking is usually a large area, and in order to ensure detection accuracy, the camera’s field of view is small, and the panorama stitching of mask images has become an essential image processing link in defect detection. In the mask image acquisition system, the precision workbench is in the working mode of horizontal vertical translation, and the adjacent two images have horizontal and vertical offsets. In view of the characteristics of big data volume of mask image, cell repetition, small variation of rotation scale, this paper proposes a fast multi-mask image stitching algorithm based on template matching. The template matching algorithm is optimized, compared with the traditional image stitching algorithm, which greatly improves the stitching speed, avoids the problem of feature matching repeated graphics mismatch, and the stitching effect is good.
A Prediction Method of Wind Power In-Place Consumption Capacity
Authors: Chen Xiaoguang , Hao Wenbo , Guan Wanlin , Hu Yuanting , Cui Jiapeng , Liu Jin , Rong Shuang
Published: June 2020

In Heilongjiang Province, China, the generated wind power is mainly consumed in-place, the uncertainty of wind power variability and electric load lead the difficulty in wind power in-place consumption capacity prediction. In this paper a wind power in-place consumption capacity predition model based on scenario-markov chain simulation (SMCS) is proposed. The wind velocity and wind power output could be accurately predicted for the calculation of wind power in-place consumption capacity by the presented prediction model. The case study results of a real region power system verify effectiveness of the proposed model.
Analysis of carbon verification calculation methods and emission reduction measures for thermal power plants
Authors: Suo Xinliang , Sun Huiliang , Sun Donghai
Published: June 2020

With the country’s increasing emphasis on carbon verification, the carbon trading market has developed rapidly. How to verify the carbon verification amount of thermal power plants by themselves has become an urgent issue. This article explains the calculation method and precautions of the carbon verification amount. From the aspects of coal burning, fuel oil, desulfurizing agent, and plant power consumption, the analysis method of reducing CO2 was analyzed, and the emission reduction effect was obvious. It provides a direction for power plants to actively organize carbon inspections, find out the verification situation in time, and better conduct annual carbon trading
Application of Mobile Geographic Information System Platform in High Voltage Grid Planning
Authors: Zhang Qianmao , Liu Rui , Qi Xiaoguang , Xi Peng
Published: June 2020

Grid planning and pre-project site survey require the support of Geographic Information System (GIS). However, the existing grid GIS platform adopts B/S mode which can only be run and viewed on the computer connected to the company’s intranet, thus failing to meet the needs of on-site investigation by the planners. Therefore, the application of mobile GIS platform to pre-grid planning is an inevitable development direction for the future power grid information system, and how to manage more efficiently and use the data collected by mobile GIS terminal will be an urgent problem to be solved. Based on the authors’ learning and practical experience, this work first analyzed the potentials of mobile GIS for grid planning, then discussed the problems in high voltage grid planning, and finally proposed the system function and overall architecture design based on mobile GIS platform.
A Multi-Lingual and Text-Speech Dialog Support System for e-health
Authors: Muhetaer Palidan , Ayifu Maimaiti , Dawa I , Silamu Wushouer
Published: June 2020

This paper reports a web-based remote collaborative medical diagnosis system. This system provides a dialogue platform using text and speech, by Chinese and Uyghur, containing information such as disease names and symptoms for different medical classifications. The interactive text and speech between doctors or patients can be translated bilingually between Chinese and Uyghur automatically. At last, diagnosis report will be generated for the doctor and the patient. Finally, the performance of the e-health service system is evaluated.
Research on Efficient Collection Method of Blackout Data in Distribution Network
Authors: Liu Hengyong , Guo Lu , Liu Yongli , Huang Ziqi
Published: June 2020

Based on the power supply management needs of power supply companies, this paper adopts a big data-driven power outage data collection method to build a scientific customer outage time key indicator around the power grid comprehensive customer service system, establish a customer outage time indicator responsibility system, and establish a customer outage The process monitoring platform has formed a data-driven customer power outage analysis system to effectively handle customer power outages.
Design of a Dynamic Reconfigurable Microsystem Based on SIP
Authors: Lv Hao , Zhang Shengbing , Han Wei , Liu Yongqiang , Liu Shuo , Zhang Lei , Wang Shiyu
Published: June 2020

In recent years, with the development of microelectronics technology, microsystems based on SIP/SoC have been applied to drone and other avionics systems. It is practical to study the reconfigurable calculation of avionics microsystems facing the flexible use of the scene. Encryption/decryption data based on FPGA can adapt to different application environments and functional requirements, which is especially important for product protection. However, implementing multiple algorithms on the same chip leads to increased logic resource consumption, low resource utilization, and poor system flexibility. In view of the above problems, it is necessary to design a dynamic reconfigurable computing platform based on an aviation SIP micro-system chip with dynamic reconfigurable technology as the core (using Zynq SoC). The platform use on-chip ARM processor to control reconfiguration. The different encryption and decryption algorithm logics are configured into different logical partitions on the chip according to the requirement. The logic circuit is updated and the algorithm is reconstructed. Different encryption and decryption algorithms are implemented by using the HLS method. The verification results show that the design can complete the algorithm switching at a higher configuration speed while the other functions on the chip work normally. Under the premise of ensuring the stability of the system, the on-chip logic resource consumption is reduced, and the resource utilization and system flexibility are improved.
Research on Automatic Positioning based on Radar System
Authors: Wang MingDong , Luo WangJian , Ma XuHui , Ye Huan , Wu JianHua
Published: June 2020

The purpose of this study is to provide a fast, continuous and accurate alternative positioning method for coastal ships under the condition of abnormal satellite positioning; On the basis of the traditional artificial radar location, a position information based on the reference target is developed, the target tracking function of radar is applied, the distance and azimuth data of the reference target to the ship are automatically collected, and the automatic radar location method of the ship’s position is determined by means of the mathematical model of track; Through the experimental calculation and the real ship data, it is proved that the radar location with high precision can be realized under the condition that the reference target position information is obtained accurately.
An Improved Dynamic Load Balancing Optimization Algorithm Based on CS
Authors: Guo XiuCai , Zhang Yue , He YaoYi
Published: June 2020

Aiming at the problem that the existing load balancing algorithm has a long response delay and a low response connection ratio, which cannot meet the timely processing of large amounts of data in the existing application process, this paper proposes a weighted minimum connection algorithm (CS-WLC). The algorithm utilizes the optimization feature of the Cuckoo Search Algorithm (CS) to classify the server first. Because the algorithm requires fewer parameters and the optimization rate is high, the time for selecting the minimum number of connections is reduced. The experimental results show that under the same conditions, the improved algorithm has smaller response delay and higher throughout capacity, and has better load balancing effect.
The layout strategy of container yard and comparative analysis under double cycling process
Authors: Liu Wansheng , Li Youlin , Dai Yang , Zhang Shuai
Published: June 2020

In recent years, to adapt to the rapid growth of container throughput, the new loading and unloading technology of double cycling is beginning to be used in ports, because it can improve the loading and unloading efficiency of the terminal. However, the ports are currently lack of a corresponding and suitable container yard storage strategy, and according to the characteristics of the new loading and unloading process of double cycling, this paper proposes two strategies of the separate stacking strategy of import and export containers in the same vessel with different container areas and the mixed stacking strategy in the same vessel with the same container areas. The mixed stacking strategy of the same vessel with the same container area can be divided into two methods: the same vessel with the same ship-bay positions and the same vessel with different ship-bay positions, and the cost of the latter method is higher than the former, because the yard cranes and the trucks need to move back and forth frequently. Therefore, this paper focuses on the comparison and analysis of the two strategies of the same vessel with different container areas and the same vessel with the same ship-bay positions. The FlexTerm simulation modelling test shows that it is not easy to generate traffic congestion and the loading and unloading operation time is shorter if the strategy of the same vessel with different container areas is applied.
Design and Simulation Analysis of Fractional Slotfive Phase Induction Motor
Authors: Xiong Yiyong , Zhao Jinghong
Published: June 2020

In induction motor, fractional slot winding can not produce high quality traveling wave field, its application is limited. There are only a few researches on the fractional slot poly phase induction motor. In this paper, a five phase induction motor with fractional slot is designed by traditional magnetic circuit method, the mathematical model is given, and two kinds of winding forms are designed. The correctness of the motor design is verified by simulation. After that, the research of fractional slot five phase induction motor laid the foundation of studies on fractional slot five phase induction motor.
Research Progress of 3D Printing Microfluidic Chip
Authors: Zhang Siyuan , Fu Lin
Published: June 2020

Because of the advantages of microfluidic technology, such as high detection speed, high accuracy and low reagent loss, it has obvious advantages over the traditional detection technology. So recently, microfluidic technology has been widely used in life science and medical diagnosis. However, the microfluidic chip processing technology is mostly developed from semiconductor processing technology, which has the characteristics of high cost and high technical requirements, which are also important factors limiting the development of microfluidic technology. In recent years, 3D printing technology has become more and more mature, so using 3D printing technology to make microfluidic chips has attracted the attention of many researchers. Compared with the traditional microfluidic chip processing technology, 3D printing microfluidic chip technology has been widely concerned because of its advantages of fast design and processing speed, wide material adaptability and low cost. At present, the processing methods of microfluidic chip mainly include micro stereolithography, deposition molding, ink-jet printing and so on. In this paper, the main research progress of 3D printing microfluidic chips at home and abroad and the future development direction are reviewed. At last, the applications of microfluidic chip processing technology in analytical chemistry, life science, medical diagnosis and other fields are prospected.
Anticipated backward doubly SDEs with generators in stochastic Lipschitz condition
Authors: Xing Zhuangzhuang , Wei Lifeng
Published: June 2020

In this paper, we prove the well-posedness of the solutions to anticipated backward doubly SDEs (ABDSDEs for short) with stochastic Lipschitz coefficients, where the generators (drivers) of equations not only rely on the prospective values of the pair of solutions, but also satisfy a certain type of Lipschitz condition. This type of equation has a practical background in financial mathematics.
Research on The Influence of Load Transmission Medium on Sensor Output Characteristics under High Speed Impact
Authors: Chen Si , Fu Tie , Dong Tianwen , Li Xiaofeng
Published: June 2020

Through the analysis of the process of the projectile penetrating the concrete target board, using the finite element method to establish a finite element simulation model of it. The modeling method and parameter settings are analyzed during the modeling process, the finite element models of metal aluminum block and rigid polyurethane foam were established, performing the numerical simulations of high-speed collisions. By solving the calculations, obtaining the time-domain signals of the sensor positions, and comparing the overload signals through spectrum analysis. evaluating the influence of two transmission medium on the measured acceleration signal of the sensor. The result shows that the effect of different load transmission media on the overload signal of the sensor under high-speed impact is different, and it proves that super-hard aluminum has better shock-absorbing effect.
Research and Application of Low Nitrogen Burner for 600 MW Unit Boiler
Authors: Liang Wuzhou
Published: June 2020

High temperature corrosion on water wall is easily caused by burning high sulfur coal in low nitrogen burner of boilers in power station. Based on the combustion adjustment test of 600 MW unit boilers, this paper introduces the technical means of burner air distribution and coal mill operation optimization under low nitrogen combustion mode, realizes the optimal distribution of aerodynamic field in reductive and oxidative zones of boilers, and achieves the balanced control of boiler safety, environmental protection and energy saving when burning high sulfur coal. This technical means can provide reference for the operation of other similar boilers.
Research on Remaining Useful Life Prediction for Aircraft Engine with a Fault Point
Authors: Lin Jingdong , Lin Zheng
Published: June 2020

As a main power component, aircraft engine is a device with extremely high safety and reliability requirements, the engine’s failure often leads to failure of the whole flight system. The engine’s reliability and safety can be expressed by the engine’s remaining useful life (RUL), and RUL prediction the technology has widely used in aircraft engine. However, the engine usually subject to internal forces and imposed external sources under the complex environment, a fault may occur in degradation process. The occurrence of the fault will accelerate the degradation rate, causing the engine’s RUL shorten, so the general prediction method is not a good choice for aircraft engine. In this paper, we present a novel remaining useful prediction approach for aircraft engine considering a fault may occur in its degradation process. Finally, a case study is presented to demonstrate our method can improve the prediction accuracy.
Mobile shooting assistant based on intelligent vehicle
Authors: Yang Rongqian , Zhou Jie , Chen Zixuan , Nie Zijie
Published: June 2020

Most shooting casinos still stay in a fixed-point shooting state. Some mobile shooting is just laying rails in the shooting range and running by cable. This type of target is too limited and not flexible enough. This kind of moving target is based on smart car. A robotic arm is installed on the smart car to grip the target. Different end points are set in the field. Each time the smart car starts, an end point is randomly generated and the path is identified by the camera. Drive to the end to form a moving target, and design a shock absorption device to prevent the vehicle body from vibrating violently when the target is hit.
LSH-XGBoost based Network Congestion Detection Method for SSDN
Authors: Tian Kaiyuan , Wang Jian , Liao Yuanyuan , Xu Dengke , Cai Baigen
Published: June 2020

Signal Safety Data Network (SSDN) is essential to maintain the reliable transmission between station and station equipment, station and central signal equipment. Threats in SSDN include but not limited to poor performance in tele-communication and denial of service when network congestion occurs. Therefore, it’s of great significance detecting the potential network congestion in railroad SSDN. Existing detection algorithms are low efficient, less accurate and are unable to cover all the detection categories. By combining the advantages of low time complexity and high classification accuracy originate from Local Sensitive Hashing (LSH) and eXtreme Gradient Boosting (XGBoost), we introduce a network congestion detection method based on LSH-XGBoost for SSDN. We run testing on open source intrusion detection system: Snort, which was built on SSDN simulator. The promising result proved its capability.
Research on the selection of power distribution equipment in 220kV substation based on life cycle
Authors: Hu Mengjin , Li Jiaheng , Wei Mengju , Liu Xuefei , Liu Zhao , Yang Yang
Published: June 2020

Based on the concept of life cycle and the conditions of 220kV station, the technology and economy of GIS, HGIS and AIS of 220kV and 110kV sides are compared, the main cost of 30 years’ construction from putting the equipment into operation to decommissioning are analyzed, and the cost from 2049 to 2019 according to the discount rate are calculated. Based on the life cycle cost objective function, the optimal solution is obtained, and the lowest cost distribution device selection scheme is obtained.
Research on Equivalent Magnetic Circuit Modeling and Electromagnetic Design of Vehicle Inverted-Triangle Interior Permanent Magnet Synchronous Motor
Authors: Han Qingjiang , Luo Jian , Hua Minqi , Wang Xun
Published: June 2020

The inverted-triangle permanent magnet interior rotor is a new type of motor rotor structure for vehicles. First, this paper introduces and qualitatively analyzes the inverted-triangle interior permanent magnet synchronous motor (IPMSM), and establishes the equivalent magnetic circuit model of the inverted triangle IPMSM under no-load and load conditions. Secondly, based on the equivalent magnetic circuit model, a preliminary design of an inverted-triangle IPMSM for an 8-pole 48-slot vehicle was carried out. Finally, the finite element software is used to optimize the rotor of the motor to obtain ideal electromagnetic performance. The simulation results show that with the same torque performance, the amount of permanent magnets of the inverted-triangle IPMSM is significantly less than that of the V-shaped IPMSM, which is beneficial to reducing the cost of motors for automobiles.
ANP-based fuzzy comprehensive evaluation system for electric power environment
Authors: Zhou Xianfu , Xu Jing , Sun Yanbin , Zhang Jing , Hu Mengyao
Published: June 2020

In order to evaluate the environmental situation of electric power business in Lishui City, a relatively objective evaluation index system was established by using literature review method and Delphi method. The network analytic network process (ANP) and fuzzy comprehensive evaluation method are combined to comprehensively evaluate the electric power business environment in Lishui. Firstly, the weight of each evaluation index is determined by ANP method, which overcomes the defect that the analytic hierarchy process (AHP) can not reflect the mutual influence relationship between indicators. Then, the ANP-based fuzzy comprehensive evaluation model is constructed to evaluate the uncertain electric power business environment and calculate with the help of Super Decisions software. The results show that the electricity business environment in Lishui is better. Finally, some measures to improve the electricity business environment were proposed based on the corresponding indicators.
Cause Analysis for a Corroded 220kV Transmission Tower Legs
Authors: Zheng Jianjun , Chen Hao , Fang Wenxuan
Published: June 2020

In this paper, the corrosion cause of a 220 kV iron tower was analyzed by macroscopic examination, chemical composition analysis, micrustructure observation and finite element analysis. The results showed that the tower was located in a heavy chemical industry park, the sulfur dioxides and other waste gases discharging from the nearby factories resulted in a high content of sulfate in the foundation of the iron tower. Besides, the drainage of the iron tower was very poor, causing the tower legs immersed in highly corrosive sewage. In addition, the thickness of the galvanized layer on the surface of the tower materials was uneven and the thickness and local zinc content did not meet the standard requirements, finally resulting in poor resistance and accelerating the corrosion of the tower materials. At last, it was advised to replace a new tower with zinc aluminum alloy layer for the better sulfur corrosion resistance and connected by high-strength bolts.
Optimal Scheduling and Control Techniques of Electric Vehicle Considering Flexible Grid Resources
Authors: Zhang Jing , Wang Lingxiang , Liu Dunnan , Zhang Yuanxing , Diao Xiaohong , Li Taoyong , Liu Mingguang
Published: June 2020

With the continuous expansion of the scale of electric vehicles and the continuous development of intelligent control technology, it is of great significance for electric vehicles to participate in orderly charging and discharging to improve the efficiency of electric vehicles and ensure the safe and reliable operation of the power grid. Firstly, the behaviour aggregation model of electric vehicle is studied. Then, a two-layer optimal scheduling model is proposed for the operation management system of electric vehicles, which including the upper control model from the perspective of the operation of business operator and the lower control model from the perspective of electric system. Finally, a case study on the orderly charging and discharging of electric vehicles is carried out. The results show that the proposed model plays an important role in reducing load fluctuation and enhancing voltage stability.
Short-term Load Forecasting of PowerSystem Based on Improved Feedforward Neural Network
Authors: Zhao Wenbo , Liu Xiaoqin , Li Chengyu , Zhang Fengwei , Wang Qian
Published: June 2020

Short-term load forecasting of power system is the foundation of safe and stable operation of power grid, at present, short-term load forecasting of power system is easily affected by external features, so it is difficult to extract load data features accurately. Aiming at the problem of nonlinear, high-dimensional and poor generalization ability of load data, the short-term load forecasting method based on flower pollination algorithm and feedforward neural network is proposed. Flower pollination algorithm is used to optimize the combination of feedforward neural network weight threshold to reduce the error and improve the robustness of the algorithm. Finally, the prediction results of similar algorithms and those of the proposed method are compared through prediction evaluation indexes. After comparison, it is found that the method in this paper can effectively improve the accuracy of load prediction, which is conducive to increasing the safety and economy of power grid.
Design and application of visualized monitoring platform for substation equipment based on 3D modeling technology
Authors: Tang Qi , Li Guowei , Wu Lihui , Wang Junbo , Luo Rongbo , Li Xiaolong
Published: June 2020

With the rapid development of smart grid, substation is gradually transforming to unattended monitoring mode, which puts forward higher requirements for the visualization of substation. At present, most of the visual display methods have some problems, such as non intuitive, poor interactivity, high cost, etc. based on this, this paper designs a visual platform for the status information of the substation equipment by combining the 3D realistic modeling and 3D software modeling technology on the basis of various modeling technology research. The platform can realize advanced functions such as real-time viewing of operation information, perspective analysis of equipment defects, and roaming inspection. Staff can quickly and accurately understand the status of the equipment, and improve the level of integration and intelligence of substation information system.
Magnetic Potential Analysis of Five-Phase Induction Motor During Two Phase Fault
Authors: Zhou Yinping , Zhao Jinghong , Ma Yuanzheng
Published: June 2020

The main research object of this paper is the change of magnetic potential produced by five-phase induction motor when it runs without two phase, the magnetic potential of five-phase Induction Motor which lacks two phases is compared with that of normal operation by using the method of synthetic current and the theory of double rotating magnetic field, by Simulink simulation analysis, to explain the influence of the motor stability when the motor is running without phase in detail.
Dual Pulse Width Modulation Harmonic Suppression Technology of H-bridge DC Converter
Authors: Zhu Jun , Zhao Jinghong , Zhang Junhong
Published: June 2020

In order to solve the H-bridge DC converter under the traditional pulse width modulation the peak value of EMI is mainly distributed at the switching multiple frequency, and the serious electromagnetic interference. This paper introduces dual pulse width modulation harmonic suppression technology based on the H-bridge DC converter. By expanding the spectral distribution of the harmonics by two pulse widths, the duty cycle and phase of the two pulse widths can be changed to reduce the power of a certain harmonic, and compared with the traditional single pulse width, the analysis of the two pulse width modulation Spectrum distribution on the grid side. The electromagnetic interference under two kinds of pulse width modulation is realized by analyzing through matlab / Simulink software simulation.
Design of 6-DOF Multi-Ring Coupled Parallel Robot Based on Helix Theory
Authors: Yu Liang , Wang Peng , Ye Zenglin
Published: June 2020

Based on the helix theory and kinematic pair type analysis, the unconstrained branch chain configuration of 6-DOF parallel mechanism is synthesized. According to the principle of installation rationality and transmission lightweight design, the driving device of multi-ring coupling branch chain is transferred to the frame through parallelogram link equivalent transmission, and the mechanism transformation with branch chain type of 6-RSS is completed. A multi-ring coupling 6-DOF parallel robot with the branch chain type of 3-RSS-PRSS is designed. Based on the helix theory, the multi-ring coupling branch chain mechanism is split and the degree of freedom of the mechanism is calculated. The modified G-K formula is used to verify that the optimization model is equivalent to the theoretical model. The optimized mechanism reduces the inertia of the robot, improves the speed of the robot, and makes it have the high-speed characteristics of delta robot and the flexibility of 6-DOF serial robot.
Preliminary Study on Intrusion Prevention System of Small Aircraft Applied to Large Hydropower Station
Authors: Guan Rongzhang , Wang Shuang , Xiong Sanyao , Nie Xiaoqian
Published: June 2020

The operation of hydropower stations plays a very important role in improving the quality of power supply, reducing the cost of electricity, reducing environmental damage, protecting the ecological environment, and achieving sustainable economic development. The low-altitude aircraft defense system using for hydropower station is mainly for the control and control of low-altitude drones that enter important areas of the hydropower station. Low-altitude drones entering important areas of hydropower stations are closely monitored, tracked throughout, and electromagnetic strikes are automatically guided to achieve drone drove and forced landing.
Simulation and Research of Light Path Optical Wave Field of Optical Voltage Sensor Based on Pockels Effect
Authors: Zhou Yang , Bu Leping , Wang Liming
Published: June 2020

This paper introduces the development status of optical voltage sensor based on Pockels effect at home and abroad. A research scheme of optical voltage sensor with optical path reciprocity is proposed and its reciprocity mechanism is expounded. Comsol Multiphysics, a multi-physical field coupling simulation software, is used to simulate the fluctuation of the transmission of incident polarized light in the electro-optic crystal, thus realizing the three-dimensional fluctuation simulation of the light wave field, which provides a new research idea and theoretical reference for analyzing and designing the optical path component unit of the optical voltage sensor.
The Load Forecasting Method based on Characteristic Analysis and Combination Learning
Authors: Zhang Zhijun , Li Ang , Qi Xin , Li Qiang
Published: June 2020

Load forecasting is an important basis for power system planning and safe and economic operation. This paper presents a load forecasting model based on feature ranking and combination learning. In view of the great difference of regional load, firstly, the random forest algorithm is used to sort the factors which have great influence on the prediction target. Then, the model selects the characteristic attributes with high characteristic contribution, dynamically combines the prediction results of the extreme learning machine, AdaBoost and neural network model, and updates the weights in a certain period through Lasso algorithm to obtain the final prediction results. Finally, the actual load data of Tianjin Power Grid is used for example verification. The results show that the prediction model established in this paper has good prediction accuracy and stability.
The Load Forecasting Method Based on Adaptive Neural Network and TLBO Algorithm
Authors: Yang Xiaojing , Wang Lei , Liu Yukun , Zhang Baodong
Published: June 2020

Load forecasting is of great significance for the arrangement and optimization of the distribution network scheduling. This paper proposes a load forecasting method based on an improved TLBO optimized adaptive neural network. Firstly, the ‘teaching’ phase in the basic TLBO algorithm is improved, and the average value of all search individuals is changed while adopting adaptive teaching factors, so that the performance of TLBO in the entire search space can be adaptively improved. Then, the ‘learning’ phase of the TLBO is improved. The Gaussian mutation operator is introduced in the learning phase to maintain the diversity of the population and avoid the TLBO algorithm’s premature convergence and local optimization. Finally, using the improved TLBO algorithm to optimize the adaptive neural network forecast model. In the end, the actual load data of Tianjin Power Grid was used to verify the accuracy of the simulation results.
Optimization Strategy for Hybrid Energy Storage Power Distribution Based on Fuzzy Control
Authors: Zhang Jihong , Hu Yongduo
Published: June 2020

In order to solve the problem of intermittence and fluctuation of output power of photovoltaic (PV) power generation system, a fuzzy control based optimization method for power distribution of hybrid energy storage system is proposed. Compared with the traditional hybrid energy storage system (HESS) control method, this method can use the ensemble empirical mode decomposition (EEMD) and fuzzy control algorithm to realize the reasonable distribution of charge and discharge power of hybrid energy storage system. EEMD technology is used to decompose the unbalanced power signal in the system, and realize the power distribution of super capacitor and battery according to the characteristics of energy storage system. The fuzzy controller is used to optimize the distribution power of the hybrid energy storage system, to control the charge and discharge of the energy storage device reasonably. Under the action of the fuzzy controller, the hybrid energy storage system can choose the appropriate operation mode to maintain the stability of DC bus voltage according to the energy storage state of charge (SOC) and power fluctuation. Finally, the simulation example verifies the rationality and superiority of the proposed method.
Adaptive control of grid connected inverter based on virtual synchronous machine
Authors: Ling Yuanlin , Ruan Yupeng
Published: June 2020

In recent years, with the rapid development of distributed generation, virtual synchronous generator (VSG) control technology for distributed generation is proposed. On the basis of droop control, VSG further simulates the inertia and damping characteristics of synchronous generator. Compared with droop control, VSG control technology makes distributed energy have the damping and inertia characteristics of synchronous machine, but it can not guarantee the dynamic regulation performance of frequency and power at the same time. To solve this problem, the adaptive control of VSG is realized by establishing the relationship between the moment of inertia and the damping coefficient. Finally, an experimental platform of VSG adaptive control model is built in Matlab / Simulink. The simulation and experimental results verify the effectiveness and correctness of the proposed control strategy.
Research on Portable Fault Message Analysis Device Based on Mobile Terminals
Authors: Yang Jianyou , Zhao Zhanglei , Lin Guosong , Xi Honglei , Wang Gang
Published: June 2020

As the scale of the power grid expands and the complexity of the power grid structure increases, timely acquisition and correct analysis of grid fault information is important for us handling failure and recovering the power supply. When we are facing of complex grid faults, It can help us get accurate assessment of fault nature, fault location result and failure severity. This paper proposes a portable Fault Message Analysis Device based on mobile terminals, which can help field personnel to obtain fault recording information of different sources in different substations, and complete data remote transmission sharing by wireless transmission module. This device can confirm the fault point and judge the correctness of the protection action behavior through differential calculation and analysis of multi-source recording data. It has powerful functions of analysis and communication, which can help improve the level of fault analysis and processing efficiency, reduce the time of fault recovery and improve the reliability of power supply.