bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Fast Determination of Feeder Fault Based on Intelligent Alarm
Authors: Luo Songlin , Chen Shoubin , Li Jinguang
Published: March 2020

According to the present situation that it is difficult for power dispatcher to identify and handle different types of feeder faults in time. This paper analyses the relationship between different types of feeder faults and 10kV bus grounding signal, 10kV bus voltage changes, bus grounding signal frequency, feeder switch trip signal, load change of fault feeder. On this basis, the mathematical calculation model based on the calculation of alarm signal and Telemetry data calculation is established. Then sends out intelligent alarm based on calculation results. It can quickly distinguish all kinds of faults, the accuracy of judgment is over 98%. It greatly improves the accuracy and efficiency of fault judgment and handling, also reduces user outage and risk of personal electric shock.
Research on “Courts Recognition Technology” for Low-Voltage Electricity
Authors: Huang Xinyan , Lan Xiaowu , Han Maosheng , He Peng
Published: March 2020

In the process of power operation, due to poor management, the courts of users are inconsistent with the system. The courts identification technology intelligently identifies the correct attribution of users through corresponding technical means, thus solving various problems such as collection and line loss. Based on the research on the current principle of courts identification technology, a courts intelligent recognition model and method based on frequency offset detection is proposed. The method effectively improves the accuracy and timeliness of the courts identification result and greatly reduces the occupation of local communication channel resources.
Video Classification Based On the Improved K-Means Clustering Algorithm
Authors: Peng Taile , Zhang Zhen , Shen Ke , Jiang Tao
Published: March 2020

To solve the problem of low accuracy of video classification, this paper proposes an improved k-Means algorithm, which is used as a classifier to realize video classification. Firstly, video segmentation is carried out to extract the visual features of the video and form a group of visual features. The traditional k-Means clustering algorithm is improved to form initial clustering points with labeled video samples, optimize the objective function, and further optimize the clustering results of the video. Several experiments show that the proposed classification algorithm has high classification accuracy.
Effect of Absorption Heat Pump System on Peak Load Regulation of Cogeneration Unit during Thermoelectric Decoupling Transformation
Authors: Wang Ziyue , Wang Kun , Zhang Li , Li Guohao , Gan Zhiyong , Qu Bin , Wang Jian
Published: March 2020

The integrated absorption heat pump in the cogeneration unit can realize thermoelectric decoupling, create the conditions for the absorption of electric energy for the new energy unit, and solve the problem of wind and light abandoning in the region. This paper presents a calculation model for cogeneration heating depth peak load test data, complete the heat pump unit load range and heating can contrast before and after the transformation, to verify the cogeneration unit based on the heat pump running can effectively realize the thermoelectric decoupling, run the heat pump capacity is higher, the greater the load range and heating capacity to ascend.
Analysis of Monitoring System of Partial Discharge Electromagnetic Interference in Ultra-high Voltage Substation Environment
Authors: Tao Fengbo , Li Jiansheng , Wei Chao , Wu Yiming , Lu Yuncai , Lin Yuandi
Published: March 2020

In order to solve the existing noise reduction measures in substation is not comprehensive, and the lack of substation on-site interference measures, the monitoring system of partial discharge electromagnetic interference in ultrahigh voltage (UHV) substation environment is studied. First of all, the ultrahigh frequency (UFH) interference information in substation is analyzed. Then signal suppression measures are adopted according to the interference signals in the substation. Finally, the UFH monitoring system is established based on the random pulse interference signal elimination method based on fuzzy clustering analysis. The results show that the electromagnetic interference monitoring system of partial discharge in the environment of UHV substation studied in this research can significantly improve the detection and localization of partial discharge, and can have more choices in determining the frequency band, which is helpful to improve the accuracy of time delay measurement so as to improve the accuracy of localization. The result of this research provides a good guidance for solving electromagnetic interference problems in UHV substations in China.
Research on Accounting Recognition and Measurement Related to Energy Management Contract
Authors: Jia Hui
Published: March 2020

The energy crisis of the 1970s prompted Western developed countries to explore ways to save energy by improving energy efficiency. The United States is the first to propose an energy management contract model that relies on market mechanisms to promote energy conservation. Its development has obvious bottom-up, market-driven economic characteristics. In the 1990s, the energy management contract mechanism was introduced into China, and its development has obvious top-down, policy-driven economic characteristics. Energy management contract is a relatively new business model. With the advancement of society, the form of energy management contract has gradually increased. At present, the accounting system for this type of business model has not been formed. Based on this situation, there are more and more problems in energy management contract. So far, China still lacks a unified accounting business accounting standard, and there have been many disputes in accounting practice. This has greatly affected the promotion and implementation of the new mechanism of domestic energy management contract, which inevitably has a certain impact on the development of the contract energy industry.
Design of a 40mm Caliber Ballistic Correction Steering Gear System
Authors: Wang Pengyu , Li Zhongxin , Wu Zhilin
Published: March 2020

The ballistic correction projectile uses several limited open-loop corrections to reduce the error of the projectile flight or the deviation of the projectile from the target due to the target movement, thereby reducing the projectile dispersion error and improving the hit rate. This paper draws on the existing advanced steering gear design, and improves the rudder blade airfoil and its plane shape according to the flight speed of the ballistic correction projectile (Mach 2). Through the analysis of degrees of freedom, a pair of limit devices have been added to the housing to make the servo system work more stable and efficient. At the end of the paper, the conclusion that the 5V voltage is better than the 3.3V power supply is obtained through the control experiment. The safety and reliability of the servo system are further verified by the anti-torque simulation of the cam mechanism and the anti-overload simulation of the servo motor.
A Digital Implementation Method of Control Inner Loop of Ship-borne Servo System Based on PWM Power Amplifier
Authors: Ma Jiqing , Zhang Bo , Jiang Zhenlin , Li Junchao
Published: March 2020

In order to realize the full digitalization and miniaturization of the ship-borne antenna servo system, a fully digital inner loop design method can be used to adjust the digital PID parameters through DA or AD conversion between signals. Large scale integrated circuits, such as PWM pulse width modulation amplifiers, can be used to achieve the desired antenna motion and response characteristics and achieve the acquisition and tracking of space targets and command control. The digital design scheme proposed below is simple, stable and reliable, and has certain universality.
Monitoring Indicator System for Digital Transformation and Statistical Research of Sectors in China
Authors: Li Jun , Zhou Jian , Chen Jie , Dou Keqin , Qiu Junjiang
Published: March 2020

At present, promoting digital transformation of sectors has become the worldwide common choice to drive sectors’ innovative development and realize sustainable economic growth. In this thesis, we firstly construct an indicator system for monitoring digital transformation of sectors which consists of five key aspects and fifteen key indicators. Then, we collect and make statistical analysis of digital transformation assessment data from 75137 enterprises in China, get an overview of China’s digital transformation of sectors, and conduct quantitative monitoring and overall analysis for process and effects of China’s transformation and upgrading of sectors. Finally, we prospect and predict the future trend of China’s digital transformation of sectors, and analyze digital transformation’s promoting effect on sectors’ value creation and benefit improvement based on data from enterprises’ market value and economic benefits.
Research of Communication Interface between PMS2.0 and IEC61850 based on Model Mapping
Authors: Zhuang Ling , He Jinling , Lou Zheng , Li Wei
Published: March 2020

In recent years, the State Grid has been vigorously developing PMS2.0 system and intelligent substation system based on IEC61850 standard. Because the two systems follow different standards, the models are not uniform and the information is difficult to share. In this paper, the mapping relation between the two models is found by analyzing and comparing the structure of the IEC61850 model with that of the PMS2.0 model. Using the MMS communication protocol in IEC61850 Standard, the MMS communication module is designed on the CompactRIO platform of NI Company to realize the data interoperability between PMS2.0 and intelligent substation System. The simulation test effect is good, which shows that the design is effective.
Research on User Satisfaction of Charging Infrastructure
Authors: Ma Jun , Yang Qinrui
Published: March 2020

With the development of electric vehicles, the charging infrastructure and services has become more and more promising. This paper focuses on the user satisfaction study of charging service. Based on the characteristics of electric vehicle charging infrastructure, the user satisfaction of charging service consists of four firslevel indicators: using cost, hardware facilities in charging stations, charging station availability, service experience. Then the seconds-level indicators are defined under the firstlevel indicators respectively. Based on the identified electric vehicle charging infrastructure user cost model, the cost model is established, and the validity of the model is verified by specific cases, which provides a research framework and quantitative data analysis methods for the user satisfaction and user research of electric vehicle charging infrastructure.
An Improved Similarity Algorithm Based On Deep Hash and Code Bit Independence
Authors: Ding Jiyao , Cheng Anjun
Published: March 2020

Deep convolutional neural networks have been widely used in image retrieval because of their powerful feature representation capabilities. Due to the high efficiency of hash space, many image retrieval algorithms based on deep hashing emerge. Aiming at the high correlation between the codes bits of hash code, this paper proposes a new end-to-end trainable deep hash algorithm to implement the feature grouping so that each code bit can express its unique partial image information. We add slice layers to reduce the repetitive expression of information and add the pairing loss to expand the difference between different categories of images and improve the recognition ability of the model for different categories. After training, we use the hierarchical search strategy to test the retrieval ability of the classification model. The mean average precision and recall of our algorithm can reach 87.5% and 92% respectively, which achieves great result in the related field and has important guiding significance for the future research of hash algorithm.
Research on VSG Control Strategy of Microgrid
Authors: Hao Yue , Li Hua
Published: March 2020

In order to solve the low inertia problem and damping effect brought by the large-scale integration of Distributed Generators (DGs) into the grid, the Virtual Synchronous Generator (VSG) control strategy is introduced, The VSG control strategy is applied to the distributed generators grid-connected inverter to make it have the characteristics of synchronous generator, which can provide voltage and frequency support for the grid.Based on the established model, a detailed and complete VSG parameter calculation process is given,and aiming at the problem of seamless switching operation of microgrid based on VSG control, a simplified presynchronization control method is presented, which can simplify the operation and improve the safety and stability of the microgrid. The simulation results based on Real-Time Digital Simulator prove that the proposed method can effectively improve the safety and stability and has good practicability.
Research on Improvement of Grounding Wire for Outdoor Line Hook
Authors: Li Qian
Published: March 2020

The grounding rod is used as a temporary grounding wire. It is an indispensable safety tool for electrical work. It is easy to carry and can be used flexibly in the field, so it is also called a portable grounding wire. Hanging the grounding wire is a safety barrier for the maintenance personnel to prevent sudden calls from harming the human body. However, in actual work, the grounding wire is frequently used and the operation seems to be simple, which makes people feel paralyzed, and its importance is often neglected. Incorrect use often occurs, which reduces or even sometimes loses the safety of the grounding wire. Role, so must pay enough attention.
Research on Robot Motion Control Based on Variable Structure Fuzzy Neural Network Based on T-S Model
Authors: Li Jingyu
Published: March 2020

The motion robot system is a nonlinear, strong coupling, non-integrity constraint control system, and its motion control has always been a hot topic in the control field. Aiming at the problem that the fuzzy neural network controller has too large computational complexity and poor anti-interference ability to the outside world, the paper proposes a fuzzy neural network control algorithm for TS, which reduces the computational complexity of the neural network and makes the closed-loop system of the robot more stable. The simulation experiment proves that the fuzzy neural network algorithm based on T-S makes the controller more resistant to external disturbances, and can maintain a high level of control even in harsh environments.
Design of Hybrid Energy Harvesting Self-Powered Power Supply for Transmission Line Sensor
Authors: Shi Mingqi , Wang Xiaolan
Published: March 2020

In order to realize the self-power supply of the wireless temperature sensor at the tension clamp of the high-voltage transmission line, the environmental energy is harvested and stored, and to power the transmission line sensor nodes. A hybrid environment energy harvesting system for the transmission line is designed, which harvests the solar energy and transmission line vibration energy in the environment and harvests the solar energy and the piezoelectric ceramic through the photovoltaic panel. The output voltage of the photovoltaic cell is low under weak light. A new type of energy harvesting circuit is designed for the low output voltage of the photovoltaic cell, which can efficiently harvest the light energy in the transmission line. However, the vibration frequency of the transmission line is low, the structure of piezoelectric vibration energy harvester is designed by finite element method, the natural frequency is close to the vibration frequency of the excitation source, and the energy utilization ratio is the largest. The two energy collectors are impedance matched respectively in order to increase the energy output power of the whole system. The system is controlled with supercapacitor by energy management mode, which provides stable electric energy for load and realizes the sustainable self-power supply of wireless temperature sensor.
Load Distribution Constraints Based Power Supply Capacity Calculation for a Distribution Network
Authors: Qian Hui , Sun Dongxue , Yuan Dong , Wang Zhuding , Tian Yuan , Qin Hua , Geng Lu
Published: March 2020

Starting from the application purpose of real distribution network planning, for the high-voltage distribution network connected by medium-voltage tie lines, the power supply capacity is predicted according to current feeder loads and their changing trends, so that the results are more realistic. Based on the above calculation process, the weakness of a distribution network can be identified intuitively and conveniently, which can be used as the basis for generating the measures or schemes to improve power supply capacities. Numerical examples show that the presented model and method are intuitive, simple, and stable and effective compared with the existing methods, and are convenient for application in practice.
A Joint Transform Correlator Encryption System Based On Complex Amplitude Modulation for Grayscale Images
Authors: Peng Kaifei , Shen Xueju , Huang Fuyu
Published: March 2020

Aiming at the problem that the joint transform correlator (JTC) encryption system is difficult to perform experiments on encrypted grayscale images, a JTC encryption system based on complex amplitude modulation for grayscale images system is proposed. In this system, the complex amplitude modulation is implemented by means of single pixel hologram coding, so that the encryption of the grayscale image can be completed by using a single spatial light modulator with pure phase in the JTC encryption experiment.
Research and Enlightenment of AIT Technology of Japanese H-II Transfer Vehicle (HIV)
Authors: Du Ruizhao , Dai Hailin , Wang Wei , He Yun , Li Yushuang
Published: March 2020

H-II Transfer Vehicle (HTV, also known as “H-2 rail transport air vehicle) is a new kind of cargo spacecraft jointly developed by Japan Aerospace Exploration Agency (JAXA) and Mitsubishi Heavy Industries Limited Corporation to deliver supplies to the International Space Station (ISS). Based on the research on the AIT technology of HTV, this paper introduces the typical assembly technology of Japanese HTV and puts forward some suggestions for the assembly of Chinese cargo spacecraft by combining with the research status of Chinese cargo spacecraft.
Analysis on the principle and performance Index of Tower climbing Robot
Authors: Huang Zengji
Published: March 2020

In this paper, aiming at the special application environment of wind power tower, this paper compares the existing domestic and international wall-climbing robot products, studies its structural characteristics, adsorption principle, etc., and then uses the knowledge of kinematics and dynamics to analyze its vertical climbing and steering motion. The performance requirements and structural design goals of the wind turbine tower climbing robot are proposed. Analyze and compare different combinations of solutions, and finally determine the use of the track magnetic adsorption design. The theoretical analysis of the vertical climbing and in-situ steering mechanics of the design scheme shows that the track length design of the crawler climbing robot should not be too long, and it will generate large resistance when steering, which is not conducive to steering. At the same time, the stability of the climbing robot climbing on the tower is theoretically calculated, and the number of required adsorption units is obtained.
Research on Condition Analysis of Secondary Equipment Based on Electrical Automation Technology
Authors: Yuan Qi
Published: March 2020

In the process of continuous development of electrical automation technology, power companies implement state maintenance of relay protection equipment, and then avoid the drawbacks in traditional maintenance methods to achieve the purpose of extending the service life of relay protection equipment. For the relay protection device, after the unfolding state maintenance, the corresponding data can be collected in real time, and the device state quantities of various automatic monitoring and monitoring devices are recorded, thereby judging whether the device is in a healthy state, thereby changing the tradition. The blindness of regular maintenance, reducing the number of times of equipment failure-free power-off maintenance, greatly improving the availability of relay protection equipment. This paper analyses the role, purpose and condition monitoring content and method of relay protection status maintenance of secondary equipment in substation, and discusses the problems that should be paid attention to when implementing state maintenance.
Research on New Technology of Power System Automation Based on Ubiquitous Internet of Things Technology
Authors: Yuan Qi
Published: March 2020

The ubiquitous power Internet of Things is a complex multi-network system consisting of a power system and a combination of intelligent terminal sensors, communication networks, artificial intelligence, and cloud platform technologies. The ubiquitous power Internet of Things realizes the real-time balance between energy production and consumption through power system equipment information interaction and character information interaction, and ensures the economic and safe operation of the power grid. The Internet of Things technology also promotes many new technologies that have developed many power system automation. The combination of ubiquitous IoT technology and power system will eventually build a multi-participating energy ecosystem and add more technical support for the development of power system construction.
Study on magnetic rheological mount properties of rough-rolled motor
Authors: Su Jintao , Zheng Ling , Wang Bangdong
Published: March 2020

Magnetorheological mount is an effective semi-active suspension, which is widely used in vibration damping systems for automobiles and aerospace machinery. The magnetorheological mount converts electromagnetic energy into mechanical energy to control and vary the viscous damping and dynamic stiffness of the suspension. In this paper, a new lumped parameter model of magnetorheological mount is established, and on the basis of the total parameter model, the nonlinear mathematical equation of magnetorheological mount bond graph model is established. Finally, its dynamic performance is analyzed and predicted. Results show that under the condition of exciting current from 0-2A, magnetorheological mount damping Angle increases to 38 °, the maximum dynamic stiffness increases by 30%. The current effect significantly affects the dynamic characteristics of magnetorheological mount. The cross section area of inertial channel increases by 20%, the dynamic stiffness increases by 5.3%, and the damping Angle increases by 24%.
Establishment and Analysis of Passingness Evaluation Index of off-Road Vehicle Based on PCA
Authors: Xu Rundong , Wang Wei
Published: March 2020

The cross-country passing ability of vehicles refers to the ability to pass complex terrain and soft ground with a certain average speed under rated load.For quantitative investigation off-road vehicle through indicators, this article from the perspective of the terrain, the first seven terrain factors determined by access to information, the second of ASTER GDEM elevation data to spatial analysis, get 7 class data, finally using the principal component analysis (PCA) to 7 kinds of terrain factor has carried on the correlation analysis and factor analysis, reflect the off-road vehicle is established evaluation index of complex terrain through sexual - integrated terrain index Tr.The results show that the comprehensive terrain index Tr can account for 87.623% of the total variance of the original variable, and can integrate a single terrain factor.
Research on Temperature Calculation Method of Electrical Equipment Based on IR Data Compensation
Authors: He Dongxu , Zhang Shi , Chen Liming , Ying E , He Long , Yang Na , Zhang Ruiming , Xia Minglei , Liu Hefeng
Published: March 2020

The real-time monitoring of electrical equipment temperature is a work worthy of in-depth study. In this paper, based on MLX90640 chip, the temperature calculation method of electrical equipment based on IR data compensation is studied, and the necessity of IR compensation is proved by the experimental data results before and after IR compensation. The advantages of this method are proved by the measurement results of MLX90640. The calculation method of electrical equipment temperature in this paper provides a certain guarantee for the safe operation of electrical equipment.
Non-intrusive load monitoring and power quality optimization technology of major power customer basing on RFID
Authors: Zhang Jiaming , Cheng Yingying , Du Jie , Zhou Feng , Xiao Ji , Chang Shiliang
Published: March 2020

The upgrading of industry and manufacturing industry has put forward higher requirements on the economy and reliability of electricity consumption, this situation urges the major power customers to pay more attention to optimize their power quality. For this purpose, this paper proposed Non-intrusive load monitoring and power quality optimization technology of large power customer basing on RFID, from the viewpoint of the comprehensiveness and integrity of power quality optimization, realized non-interve monitoring of main electrical equipment and transformer, further researched optimization method of power quality on major power customers, and formulated detailed implementation strategy. The correctness and validity of the proposed results were verified via field tests.
Reliability Study of Wind Turbine Power Converter with Multiple Wind Speed
Authors: Zhang Jingxuan , Sun Hexu , Lv Dianshun , Dong Zhiran , Gao Ziang
Published: March 2020

Power converter is a significant device in the wind turbine systems (WTS). This paper proposes a novel reliability evaluation strategy for the power converter of wind turbine with multiple wind speed, which named discrete state probability analysis method. Using the data of a wind farm wind speed and ambient temperature in Zhangcheng area of Hebei province. In addition, including the parameter of the wind turbine generator and the power converter. The results show that the reliability of the wind turbine power converter is affected significantly by multiple wind speed. The effect of the proposed method is demonstrated by the calculating example.
Study on the Effect of Coupling Materials on the Ultrasonic Signals Detection of Partial Discharge
Authors: Li Jie , Shi Wei , Zhang Pipei , Wang Peng , Wang Jiangwei , Yan Shisong , Si Wenxu
Published: March 2020

This paper studied the effect of different coupling agents on ultrasonic detection of partial discharge. Water-based ultrasonic coupling agents, medical coupling agents and silica gel coupling materials were compared with commonly used high-vacuum silicone greases to analyse the different response by using different coupling materials to detect the ultrasonic signals with different frequency and amplitude. It is found that the ultrasonic sensor has a better response when applied to medical coupling agents under the frequency 20kHz and 80kHz, the frequency response is better when applied to water-based ultrasonic coupling agents under the frequency 20kHz, 40kHz and 80kHz,but the both two coupling agents have the disadvantage of low viscosity. The frequency response under 40 kHz of sensor is better than other frequencies when applied to silica gel, but this material has the difficulty to achieve full coupling. The high-vacuum silicone gel with higher viscosity is preferred in the consideration of different application scenarios in the field. The silicone gel with the thickness of 0.5mm is also well recommended when the sensor is fixed by an external magnetic base and meet the test accuracy.
Peak Load Forecasting for Electrical Bus based on Limited Historical Data under Complex Meteorological Condition
Authors: Zhu Heyan , Yu Changyong , He Qingkui , Song Kun , Liu Jingbo , Xu Yanlu , Lu Tianqi
Published: March 2020

The historical data of peak load for electrical bus are limited and fluctuated violently. The fluctuation ability of peak load for electrical bus is nonlinear and randomly. So its prediction accuracy is low. In order to improve the accuracy of peak load forecasting for electrical bus, a peak load forecasting for electrical bus method based on limited historical data under complex weather conditions is proposed. Firstly, the influence of natural meteorology, society and other factors on peak load fluctuation for electrical bus is analysed; Secondly, based on the reduction of redundancy between features of potential feature set, the feature importance ranking is obtained by conditional mutual information (CMI). Then, according to the improved particle swarm optimization extreme learning machine suitable for small sample training, the forward feature selection is performed to determine the optimal feature subset. Finally, based on the optimal feature subset, the optimal peak load forecasting model is established.
Multi-source partial discharge detection and rapid localization of switchgear based on comprehensive diagnosis method
Authors: Wang Jianxin , Zhang Zhichong , Zhang Zhaoguang , Si Wenxu
Published: March 2020

Partial discharge detection is an effective method to find potential insulation defects in switchgear. At present, the switchgear is mainly composed of busbars, circuit breakers, grounding knives, cables and other components, which leads to multiple faults and simultaneous discharges in the partial discharge detection process of the switchgear. In order to realize the partial discharge detection and rapid location of the switchgear, based on the introduction of the detection methods and location principles of ultrasonic, transient ground voltage and UHF partial discharge, this paper proposes to use ultrasonic, transient ground voltage and UHF detection technology to diagnose and analyse the multi-source partial discharge of the switchgear and realize the detection of partial discharge; the multi-source partial discharge of the switchgear is realized by the rapid localization method combining the UHF time difference method and the flat surface method. Through partial discharge detection and localization analysis of a 35kV switchgear, the feasibility of multi-source partial discharge diagnosis and rapid localization method is verified, which provides a basis for on-site inspection personnel to realize multi-source partial discharge detection and localization of switchgear.
Improvement of Short-distance Subsidy Policy for Airport Taxi Based on Cluster Analysis
Authors: Yang Tao
Published: March 2020

The income of airport taxis is related to the mileage. Due to the difference in passenger destinations, the mileage is long and short, and the taxi driver cannot pick or refuse to load. Therefore, the difference between short-haul passengers and long-haul passengers is significant. Based on such realistic problems, a relatively reasonable priority policy has been proposed to balance the income of taxi drivers. Under the existing policy based on the short-distance ticket of Shanghai Pudong Airport, combined with the large number of drop-off point data of taxis, the data is pre-processed and then visually analyzed on Bigemap, and then cluster analysis is carried out in matlab environment. The mileage distribution makes a more reasonable division of short-distance long-distance definition and proposes new ideas for solving the problem.
Distribution Network Low Voltage Prediction Method Based on Least Squares Support Vector Machine
Authors: Yao Zhiyang , Jin Qingren , Min Guo , Chen Weidong
Published: March 2020

Due to the lack of a direct functional relationship between voltage and voltage related parameters in the distribution network, it is difficult to scientifically carry out low voltage prediction. Therefore, a low voltage prediction method based on least squares support vector machine is proposed. The method uses the parameters related to low voltage and voltage in the distribution network as the basic data, constructs the optimal problem equation, forms the decision function, uses the decision function to predict the predicted samples, and outputs the lowest voltage value at the end of the low voltage side of the distribution transformer. Finally, the voltage value is analyzed and the low voltage of the distribution network is predicted. The actual distribution network data is used to simulate and verify the proposed method. The results show that the predicted value and the actual value error meet the requirements of estimation accuracy. It is demonstrated that the low-voltage prediction method based on least squares support vector machine is practical.
Analysis on the Reason of Low Voltage Problem and the Effectiveness of Voltage Regulation in a Distribution Area
Authors: Guo Min , Jin Qingren , Yao Zhiyang , Chen Weidong
Published: March 2020

For the problem of low voltage, this paper took a 10kV low voltage line as the research object, summarized and classified the causes of low voltage on the line, analyzed the real reason for the problem of low voltage which combined with the actual situation of the line as the class, put forward many management suggestions. Combined with the actual situation of the line, line automatic voltage regulator would be installed. For automatic voltage regulator, its effectiveness was analyzed from the principle in this paper, 10kV line simulation model was established, this paper gave the simulation analysis of the effect of the line overload on the terminal user’s voltage and the different control effects brought by the installation location of the voltage regulator, the research results provide a scientific basis for the management of the low voltage problem.
Study on Stability Control Strategy Based on Island Micro-Grid of Small Nuclear Power Plants
Authors: Jiang Bo , Zhang Zhong , Xie Xintao , Kang Yong
Published: March 2020

For the island microgrid with limited load capacity, especially after the nuclear power generator set is connected, it is very important to control the grid safely and stably. This paper is aimed at the island micro-grid after the nuclear power generator set is connected. Firstly, the influence of the nuclear power plant on the topology of the power grid after it is connected to the grid is analyzed. Then, through the development of a topology analysis strategy, effective grid conditions are obtained. And the related stability control strategy is proposed that he corresponding CASE is triggered when the grid is faulty, such as generator trip, grid disconnection, generator/transformer overload, etc., to unload the range to ensure smooth operation of the grid. Simulation analysis shows the effectiveness of the proposed stability control strategy.
An Effective Sharpsat Solution Method Based on Learnt Clause Minimization Approach
Authors: Chen Xi , Du Weikang , Xu Yingjie , Ma Mingdian
Published: March 2020

The problem of satisfiability of the propositional logic formula (SAT problem) in computer science is an important and difficult problem. Learning clauses often contain redundant literal in CDCL SAT solving, which may have a negative impact on the performance of the solver. To overcome this shortcoming, we show a new sharpSAT solver based on learning clause minimization is proposed. By recoding the CNF formula to reduce the storage space, and applying Boolean constraint propagation to eliminate redundant literals in the learning clause, the algorithm reduces the time cost. The complexity is compared with the existing solver. The experimental results show that the solver has significant application value, reduces the time of instance solution, and increases the number of maximum solvable instances.
Review of the Basic Technology of Big Data on Analysis and Storage Applied in Power Grids
Authors: Qian Lin , Yu Jun , Zhu Guangxin , Xie Ruocheng , Chen Zhengbo , Wang Lin , Pang Hengmao , Mei Zhu , Xu Mingjie , Chen Haiyang
Published: March 2020

With the era of big data coming, the amount of data generated by humans has grown exponentially, and people have become aware of the importance of data. This paper introduces the concept of big data and big data technology firstly, and then describes the mature technology of big data analysis: Hadoop and Spark. And Taking HBase as an example, the basic theory of big data storage technology is analyzed. The paper is designed to understand the concept of big data and current developments, explain the basic technologies of big data storage and analysis to provide a reference for more accurate cognition.
Trend Analysis of Small Sample Operation and Maintenance Data Based on Function Fitting
Authors: Bo Yang , Jun Wei , Runzhen Yan , Ce Li , Yintie Zhang
Published: March 2020

After years of informatization construction, the State Grid Corporation’s data centers have reached a very large scale in the headquarters and provincial company’s network companies, providing good support for the deployment of various business systems. Compared with the rapid development of the data center infrastructure construction, the data center-related operation and maintenance management work concept is relatively lagging behind, the data center generates a large amount of operation and maintenance data every day, and relevant analysis and processing work of the data was ignored. In response to the overall requirements of the State Grid Corporation to build a ubiquitous power Internet of Things, the operation and maintenance of the computer room has been upgraded to a new level, and the operation and maintenance work will be transformed from the traditional lag problem solving problem to the forward-looking work of predicting the operation and maintenance risk in advance. Through the analysis and processing of operation and maintenance data, this paper establishes the functional relationship between operation and maintenance indicator data and time, so as to predict the events that may cause system downtime in the future.
Anomaly Detection Method for Operation and Maintenance Data Based on One-Class Learning
Authors: Duan Junhong , Yang Bo , Wei Xiang , Liu Ning , Zhang Yintie
Published: March 2020

Due to frequent changes in system services, the amount of data collected in a certain state is insufficient, which causes problems such as insufficiency of normal sample data, scarcity of fault sample data, and lack of prior knowledge. Aiming at the problem of anomaly detection of small sample operation and maintenance data lacking negative samples, this paper proposes an operation and maintenance data anomaly detection method based on one-class learning, which uses SVDD (support vector data description) method to eliminate abnormal data in the collected operation and maintenance data. Then, we can better analyze the subsequent data. The experiments show that the proposed method is reasonable and effective.
Monte Carlo Localization for an Autonomous Underwater Vehicle with a Low-Cost Sonar
Authors: Jiang Keyong , Chen Ling , Yang Aolei , Hu Huosheng
Published: March 2020

This paper proposes a Monto Carlo based localization (MCL) algorithm for autonomous underwater vehicle (AUV) with a low-cost mechanical scanning imaging sonar (MSIS). As MSIS has a slow-sampling characteristic, its scan is distorted by the vehicle motion during the scan interval and the sonar readings are sparse. Our contribution is introducing this two-stage approach to overcome the shortages of MSIS to achieve accurate localization: 1) the scan formation module is devised to eliminate the motion induced distortion of sonar scan; 2) MCL is applied to estimate the AUV pose accurately by the Dead Reckoning (DR) result and the formed sonar scan. Results of simulation verify that the proposed algorithm performs well in terms of effectiveness and accuracy.
Research on Discovery of Radio Communication Relationship Based on Correlation Analysis
Authors: Liu Changkun , Wu Xinrong , Yao Changhua , Guo Jibin , Fan Haoren , pan Ting , Wei Kefeng
Published: March 2020

As the medium of wireless communication, the physical characteristics of electromagnetic spectrum signals and the connection between signals also potentially reflect the intelligence information related to the communication intention of communication individuals. For military communications, spec-trum management, communication security and other fields, it is of great significance to mine and analyze the communication behavior of communication individuals from spectrum data. This paper proposes a method for mining the communication relation-ship between stations in massive spectrum signals based on association analysis. Firstly, we improved the peak density clustering algorithm and used it to study the distribution rules and statistical information of spectrum signals. Then, we carried out correlation analysis on the time range of clustering data to mine of the communication relationship. The experimental results show that this method can effectively discover the communication relationship from chaotic and missing spectrum signals, which lays a foundation for further discovering and studying the commu-nication network structure between radio stations and provides ideas for the analysis of spectrum data.
Study on the Temporal and Spatial Patterns of Environmental Quality in China and Its Influencing Factors Based on Two Perspectives of Pollution and Absorption
Authors: Zhao Qingwen , Li Hong
Published: March 2020

Based on the two perspectives of environmental pollution and environmental absorption, combined with the regional differences of environmental quality influencing factors, SDM model is used to analyse the influencing factors and spatial effects of environmental quality in China and all regions. The research shows that the spatial agglomeration characteristics of environmental quality are obvious, and the problem of regional imbalance is prominent. The environmental quality and economic development in the eastern region are gradually harmonized, but population agglomeration has a greater negative impact on the environment. The development model of high investment, high energy consumption, high pollution and low efficiency in the central and western regions has become a constraint to improve environmental quality.
Coupling Coordination of Coordinated Development Level Between Resource and Environment
Authors: Gao Hua , Han Qian
Published: March 2020

Environmental problems are drawing more and more attention from all sectors. Considering China’s current development background, it is very important to research the coordinated development level of resources and environment. This paper constructs the coupling index system of resource and environment. Then, we analyze the spatio-temporal situation and its influencing factors of the coordinated development in 26 provincial capitals and 4 municipalities in 2005, 2010 and 2015. It is concluded that the spatial distribution of the coupling coordination degree in China is unbalanced. The coupling coordination degree shows the characteristics of decreasing first and then improving. In general, this paper provides theoretical guidance and method support for quantitative analysis of the horizontal coupling coordination degree between resource and environmental development.
Research on reducing carbon emissions from logistics
Authors: Pei Xiaobing , Sun Zhiwei
Published: March 2020

The Earth is warming at an unprecedented rate. The carbon emissions generated by logistics and transportation have caused a lot of impact on the environment. It is extremely urgent to take certain actions to alleviate the energy consumption and carbon dioxide emissions of logistics and transportation. It is recommended to use other heuristic algorithms to optimize the path and distribution order to reduce the carbon emissions of the logistics and transportation industry while ensuring that the goods are delivered as required.
Technology of Vibration Energy Harvester and Its Application in Vertical Axis Wind Turbine
Authors: Mo Qiuyun , Liu Weihao , Liao Zhiqiang , Jiang Li , Guan Huisen
Published: March 2020

With the continuous development of mechanical design theory, materials and machining technology, the energy utilization rate of traditional machinery has been approaching the limit. The exhaustion of energy forces mechanical designers to make breakthroughs in the efficient use of energy. Therefore, the technology of energy harvester based on mechanical vibration has been well developed. Based on piezoelectric, electromagnetic, electrostatic, piezoelectric-electromagnetic coupling, and four types of vibration energy harvesting technologies principle and the typical research achievements, systematic analysis of various kinds of vibration energy harvesting technologies features, development and application of the technical difficulties and constraints, the last small Vertical axis wind turbine, for example, analysis of vibration energy harvesting technologies applied in the actual mechanical feasibility and implementation scheme, thus provided for the research and application of vibration energy harvesting equipment development direction and technical guidance.
Study on the Temporal and Spatial Evolution of the Total-Factor Water Efficiency in the Yangtze-River Economic Belt
Authors: Zou Shengrui , Song Min
Published: March 2020

Based on the SBM-Malmquist model of unexpected output, the paper estimates and decomposes the total-factor water efficiency (TFWE) of 11 provinces and cities in Yangtze-river Economic Belt from 2000 to 2017. The study finds that: (i) TWFE in the Yangtze-river Economic Belt has been significantly improved during the sample time, which has an average value of 0.70, the highest value of 0.91 in 2017 and the lowest value of 0.56 in 2006; (ii) provinces or cities from the eastern region of Yangtze-river Economic Belt including Shanghai, Zhejiang and Jiangsu, tend to have higher efficiency than the central and western regions at the same time; (iii) the index of technical change (Tech) obtained by further decomposition of the efficiency is the main contributing factor of efficiency improvement.
Technical Research on Environmental Engineering of Sewage Treatment
Authors: Pei Xiaobing , Song Lijiao
Published: March 2020

As the country implements the strategy of energy conservation and emission reduction and accelerates the cultivation and development of strategic emerging industries, the sewage treatment industry will face broad development space of the market The research on the technical selection of environmental engineering of sewage treatment will help the engineering company to analyze and make decisions on the future market, so as to concentrate more resources on areas with potential development and pave the way for the subsequent growth of the engineering company’s business. Therefore, it has important theoretical and practical significance.
Research on Core Module Design of NR Power System Based on Engine Parameters
Authors: Zhu Bingyu
Published: March 2020

This paper proposes the concept of constant power interval for turbocharged engines. Based on the analysis of the existing engine and torque converter matching, a new method for engine and torque converter matching is proposed. At the same time, the paper adopts the modular idea, and divides the loader into five modules: engine, hydraulic torque converter, gearbox and drive axle, complete machine and external environment, and establishes mathematical model and MATLAB/Simulink simulation model respectively. The MATLAB/Simulink simulation model of each module is connected to establish the loader powertrain simulation system, and the performance of the loader drive system under the conditions of shovel loading, forward lifting and full load retreat is analysed. It indicates that the loader’s power and economy cannot be satisfied at the same time, and the design should be focused. The experimental results show that the system has perfect functions and stable performance, which meets the needs of engine performance development test.