bluuebunny/crossref_metadata_2025 huggingface dataset:
Adjustment of Active and Reactive Power of Synchronous Generator in Grid-connected Operation
Authors: Sun Huiqiang
Published: March 2020

The regulation of active power and reactive power of generators in grid-connected operation has always been an important research issue of power plants and power grids for efficient use of energy and stable operation of motors. In daily life, residential electricity consumption is always changing, more at night and less during the day; more in summer and winter, less in spring and autumn, so in order to make rational use of resources and improve the economy, real-time monitoring and regulation of active power are needed. And most of the loads connected to the grid are inductance loads, so a power system should load a lot of reactive power besides active power. According to statistics, the reactive power required by an asynchronous motor in a power system accounts for 70% of the total reactive power supplied by the power grid, 20% of transformers and 10% of other equipment. The reactive power supplied by power grid is shared by all generators, which will bring about the problem of how much each generator should bear and how to regulate the reactive power of generators. In this paper, the regulation methods of active and reactive power, the regulation range, the power angle characteristics and the electromagnetic relationship of active and reactive power are analyzed in detail.
Study of A Quality Monitoring System of Electric Power Using Internet of Things Technology
Authors: Ni Mengxian
Published: March 2020

For the purpose of ensuring the safety of energy supply, as well as satisfying the growing demands of production and living for power and energy, based on the operating principles of radio frequency identification (RFID) technology of Internet of Things, the basic architecture of power Internet of Things is constructed, and a quality monitoring system of electric power is designed. Also, in combination with the chaotic time series theory and the radial primary function network, a modeling forecasting method is proposed. By using this model, the temperature of device hot spots in the substation monitoring system is forecast. The results show that the development curves of the forecast value and the true value are similar, which indicates that the forecast value is close to the true value. Therefore, the error between them is small. The modeling forecasting method combining the chaotic time series theory with the radial primary function network proposed in this study can forecast the temperature of device hot spots in substation monitoring system effectively. In addition, the model also has better forecast accuracy, which can be applied to the forecast and analysis of device temperature.
Fully digital wind farm monitoring and inspection system based on AR augmented reality technology
Authors: Xing Xinyue
Published: March 2020

The wind power is a vigorously developed clean energy in China recent years. It’s installed capacity of our country is increasing year by year. Since 2012, the new wind power installed capacity in China has became the first place all around the world. By the end of 2016, our wind power installed capacity has added a total of 87 million 580 thousand kilowatts. Besides the rapid growth of wind power, there are still many problems in China’s wind power business. In order to solve the following problems: the inspection environment of the wind farm equipment is quite complex, the efficiency is not high enough, and the statistical data of the inspection is not good enough, this paper puts forward the “full digital monitoring and inspection platform of wind farm based on AR augmented reality” as the solution of the problems. The project implements fan positioning, model-assisted inspection, process recording, and expert remote assistant APP functions. It promotes the development of wind farm detection and inspection, which can greatly improve the inspection efficiency of wind farms and reduce the workload of inspectors.
Integrated scheduling method of intelligent distribution network DSR and renewable energy based on MCS algorithm
Authors: Qiu Fengkai , Fang Cheng , Zeng Ming , Tian Shi , Zheng Zhengxian
Published: March 2020

In the intelligent distribution network environment, the demand side resources (DSR) are the electric vehicle, energy storage, controllable load and other resources located in different locations, showing the characteristics of small single capacity and decentralized layout. How to build a multi time scale integrated scheduling framework of demand side resources and renewable energy, to schedule the distributed demand side resources in an orderly manner, and to realize the efficient integration of demand side resources and renewable energy, are the key problems of demand side resources participating in grid scheduling. Based on this, this paper proposes a multi time scale integrated scheduling method based on hierarchical scheduling for DSR and renewable energy in intelligent distribution network, and uses the modified cuckoo search algorithm (MCS) to solve the problem. The effectiveness of the proposed model and algorithm is verified by the integrated scheduling of electric vehicles and renewable energy in intelligent distribution network.
Research on distributed photovoltaic power generation prediction based on grey model for energy Internet of city
Authors: Li Hao , Liu Chang , Li Wen , Liu Chao , Li Bin
Published: March 2020

Power load forecasting is one of the basic tasks of power system dispatching coordination and rational arrangement of energy production. Reasonable power load forecasting can ensure safe, continuous and stable energy supply, and provide reasonable guarantee for the safe and economic operation of power system. Based on Beijing’s new energy and renewable energy online monitoring system, this paper collects power generation data, environmental data and equipment working condition data, and uses gray model prediction method to predict the load of XXXXX photovoltaic power station, and obtain more accurate power load data, which is complex fluctuation. The photovoltaic power generation project provides the basis for post-generation planning.
Study on the Connotation and Framework of Regional Integrated Energy System
Authors: Zhu Huan , Zheng Kuan , Zhang Shuo , Chen Yunfei , Li Hu , Li Nan , Chen Chen
Published: March 2020

Under the background of energy interconnection, the traditional mode of energy supply, which is based on production to meet the demand, will be completely overturned. All participants in the energy interconnection are both “producers” and “consumers”. Interconnection and sharing will become the core values in the new energy system. This paper mainly expounds the connotation and characteristics of regional integrated energy system, and at the same time constructs the overall framework including the inner “three-level structure” and the external “three-function system”. Finally, it preliminarily proposes the technical framework of regional integrated energy system including a variety of key technologies.
Study on Influence of Voltage Deviation on Loss of Low Voltage Distribution Network
Authors: Liang Zuquan , Li Yingyuan , Zhao Lei , Tao Shun , Fan Yijing
Published: March 2020

Voltage deviation is one of the important power quality problems. Studying its impact on the power loss of low voltage distribution network is of great significance for the development of loss reduction measures and the realization of economic operation of power grid. The calculation models of transformer and line loss considering voltage deviation are derived firstly. The influence of voltage deviation on iron loss and copper loss of transformer and line loss under different load types are analysed in depth. The relationships between voltage deviation and additional loss of low voltage distribution network are obtained. The simulation verifications are carried out in PSCAD/EMTDC, which prove the accuracy and effectiveness of the calculation models.
Economic Incentive to Transmission Investment Considering Environmental Cost
Authors: Gao Xiao
Published: March 2020

The economic incentive to transmission investment considering environmental cost is investigated in this paper. The definition of economically stimulating signals to transmission investment is given. Based on the transmission line optimal investment planning model proposed in Brazil, the transmission planning model with economic stimulation is proposed. What’s more, the external cost of environment is taken into account in this above transmission planning model. This model is suitable for the merchant transmission plan. And it also provides transmission investors a decision-making reference. The effectiveness of the economic stimulation to transmission investment considering environmental cost is verified by the 5-bus system.
Application of Flexible DC Transmission Technology in Power Grid under Large-scale Development of New Energy
Authors: Zhang Weili , Zhang Tianning
Published: March 2020

Based on the analysis of the current situation of new energy development and the prominent problem of power abandonment in China, this paper discusses the application of flexible direct current transmission technology in power grid under the large-scale development of new energy in order to give full play to the advantages of optimal allocation of resources in power grid, improve the balance ability of power grid, expand the scope of new energy absorption, and fully analyze the advantages and disadvantages of flexible direct current transmission technology.
A Novel Active Disturbance Rejection Control for the Quad Tilt Rotor in Conversion Process
Authors: Wang Zhigang , Li Jianbo
Published: March 2020

The quad tilt rotor (QTR) has complex dynamics characteristics, especially in conversion mode. It is difficult to model the QTR dynamics and the environmental factors have a great influence on it. To solve the problem of control in conversion mode of QTR, this paper carries out the design of the controller based on improved active disturbance rejection control (ADRC). According to the characteristics of flight in conversion mode, tracking differentiator (TD) is used to solve the problem of multiple integral when the system is high-order system. Extended state observer (ESO) with radial basis function (RBF) neural network is used to estimate and compensate for internal and external uncertainties, and the adaptive sliding model control in nonlinear state error feedback (NLSEF) is used to improve response speed of the controller and reduce the parameters which should be tuned. Through the flight control simulation of the QTR, the validity and rationality of the control system are verified.
Design and Signal Delay Analysis of Spinning Missile Electric Rudder Control System
Authors: Yao Qiushi , Li Lijing , Wang Siyuan
Published: March 2020

In order to meet the requirements of ultra-small special-purpose missiles for miniaturization, high dynamic characteristics and low signal delay of the missile-mounted rudder, and to reduce the working pressure of the navigation computer control system, a digital electric rudder control system based on MCU and H-bridge integrated power drive chip was designed and implemented. The system uses the Texas Instruments C2000 high-performance MCU as the core control unit to process the single-channel rudder position feedback signal. After the fuzzy position PID algorithm calculation, the control signal is output in the form of pulse width modulation (PWM) waveform, and the rudder control is completed by the DRV8872 power drive chip. Aiming at the problem of phase delay in missile attitude control system, the reason of delay is analyzed from the perspective of system composition. The phase delay formula is derived through theoretical calculation and sine sweep test. A method based on navigation computer deviation compensation is proposed. It has been proved by experiments that the rudder control system has good dynamic response capability and has good compensation effect on system signal delay.
Modeling Damping Force for a Translational Damper Based on Shear-Thinning Giant Electrorheological Fluid
Authors: Chu Liufeng , Yang Yi , Sun Yi
Published: March 2020

The mathematical model of electrorheological fluid damper which is based on the flow mode has been proposed in many articles. In this paper, a new optimization model of the giant electrorheological fluid damper, which is based on the shear thinning mathematical model, is proposed and simulated numerically with Matlab. The mathematical model of giant electrorheological fluid damper without considering the shear thinning model is also simulated numerically in this paper. The data of the damping force-excitation displacement of the damper are tested by the 810 Material Test System. By comparing the simulated data with the experimental data, it can be seen that the model considering the shear thinning mode can predict the damping force that the damper can produce.
Design of Quality Control System for Fighting Machine Operation Based on Beidou Navigation
Authors: Li Aiqin , Xu Jiyang , Ma Fei , Li Xiaoyu
Published: March 2020

In view of the serious waste and pollution of pesticide spraying, this study developed a sprayer flow control system based on the high-precision Beidou satellite navigation system software. The system uses a high-precisbion Beidou satellite navigation system R21 positioning receiver. Acquires the vehicle in real-time through the built-in GNSS board of the vehicle. The speed and position information are analyzed and processed by the vehicle intelligent control terminal, and sent to the flow control system corresponding control commands, so that the flow rate of the spray can be controlled according to the speed of the vehicle to realize the electrification control of the spray operation machine. Based on the field operation requirements of the fight drugs machine, an automatic navigation system path tracking control algorithm is designed to make the system complete the route of the line and curve. The real-time information collection of the work is carried out by using the APP carried by the industrial tablet, and the vehicle inherent parameter information is used to interface with the agricultural information platform through the Internet to realize the online monitoring of the spraying operation parameters. At the variable forward speed, tested in a farmland environment. The test results show that the designed automatic navigation path control system and spray flow control system have good working accuracy values and stable operation, which can meet the requirements of farmland environment spraying operation.
An Effective Kernel Online Learning Algorithm with Sparse Update for Electronic Devices Condition Prediction
Authors: Liu Xing , Zhang Wei , Zhao Jianyin , Huang Deyong , Guo Peng
Published: March 2020

In order to implement condition prediction for electronic devices, a new online learning algorithm for extreme learning machine with kernel (KELM) is proposed. For key nodes selection, a sparse dictionary with predefined size is constructed adaptively by online minimization of its cumulative coherence. Meanwhile, for model coefficients update, an improved decremental learning algorithm is presented by using elementary transformation of Gram matrix and block matrix inversion formula. The performance of proposed algorithm is compared with several well-known online sequential ELM algorithms. The simulation results show that the proposed algorithm has higher prediction accuracy and better stability. Thus it is suited to online condition monitoring of electronic devices.
Suppression Method of Vibration and Noise for Power Transformer Using Tuned Mass Damper
Authors: Cao Hao , Li Guoyong , Zhang Wanfu , Wu Xiaowen , Lu Ling , Hu Sheng
Published: March 2020

The vibration of operating power transformer may generate serious noise to affect the surrounding residents. In this paper, a 35kV oil-type transformer is chosen to study the suppression method of vibration and noise using tuned mass damper (TMD). Firstly, a finite element model of the transformer system with TMD is established. Comparisons of dynamic response and sound pressure level analysis for the transformer before and after installing TMD are carried out. Overall deformation distribution comparison shows that the vibration of each peak region on the surface of the original transformer box is suppressed obviously. After the vibration reduction using TMD, the maximum sound pressure level is reduced by more than 1 dB (A). The maximum noise reduction effect of the TMD is close to 1.6 dB (A), and the minimum noise reduction effect is more than 1 dB (A) at a distance of 1 m from the center of the transformer.
Development and Application of High-Efficiency Cleaning Device for Subway Based on Self-Generating Energy Storage System
Authors: Peng Yucheng , Wang Yanlong , Zhou Jie
Published: March 2020

In view of the current manual cleaning of the subway track, it requires more personnel, lower efficiency, and more capital needs. Therefore, a new method can be developed, which adopts a combination of a billboard and a cleaning device, so as to satisfy the advertising efficiency, the garbage on the subway track can be cleaned more conveniently, efficiently and environmentally. Among them, the subway station demonstrates that the method can be used by using design simulation experiments, and the rationality of the structure of the device is obtained.
Power-Grid Dispatching Method Considering Heat-Power Coupling Characteristics of CHP Units
Authors: Guan Sensen , Wang Kun , Zhijun E , Hu Qingbo , Wang Shan , Fang Jiuwen , Chen Rong , Lu Fei , Yang Bangyu , Liu Ming
Published: March 2020

The dispatching optimization of power grid is to obtain the greatest benefits on the basis of safe and stable operation of the power grid, which is of great significance for the energy-saving, reliability of the power grid. Therefore, a multi-objective model of power grid dispatching which considers the heat-power coupling characteristics of CHP units is developed in this study. The economic benefit and minimum wind power abandonment are taken as optimizing targets in the model. Meanwhile, the detail operation characteristics of condensing power plants and CHP units are considered in this model based on off-design models of power plant. Besides, the regional heat load and power load are scheduled together. Finally, the AHP-entropy method is used to obtain the weights of the two optimizing targets of economic benefit and wind power abandonment, and the multi-objective is converted into a single-objective.
Analytical model for solving ship maneuvering response under continuous linear steering
Authors: Zhang Weiling , Cai Feng , Yang Bo
Published: March 2020

In this paper, the analytical model of the nonlinear differential equations is solved by combining the characteristics of the first-order and second-order KT steering response equations. In order to make the model as close as possible to the actual situation, the steering time is taken into account in the modelling, and the problem of sudden change of steering speed in linear steering is solved, and the analytical model expression of the KT response equation under continuous linear steering is obtained. The analytical model simulation results, Runge-Kutta numerical simulation results and real ship Z-shaped test data are compared to verify the effectiveness of the analytical model.
Numerical investigation of the gyro effects on a 10 MW floating offshore wind turbine
Authors: Chi Fengdong , Li Yugang , Chen Jingjie
Published: March 2020

In this study, the gyro effects on a floating offshore wind turbine (FOWT) is investigated. For the DTU 10 MW wind turbine, the ITI Energy Barge platform is adopted. The ANSYS software has been used to study various mechanical properties related to the wind turbine, such as natural frequency, vibration mode as well as the critical speed of the wind turbine, based on which the speed in working condition is designed. The transient dynamic analysis is then carried out and the maximum displacements are found to occur at the place located at the top and bottom of the tower. A comparison between the maximum displacements in working condition and non-working condition has been performed. In addition, the gyro effects on the mechanical properties caused by the gyro torque have been analysed and the dangerous area has been discovered. Furthermore, the stress on the top and the bottom of the wind turbine is analysed and it appears to be one of the obvious results affected by gyro effects. Present study can provide valuable reference for the design of the FOWT.
Electromagnetic Interference of Partial Discharge in Ultra High Voltage Substation
Authors: Wei Xu , Yang Xiaoping , Xie Tianxi , Li Jiansheng , Wang Tonglei , Wang Shengquan
Published: March 2020

In order to block the electromagnetic interference source of partial discharge in UHV substation and improve the actual power generation efficiency, in this study, the experimental method of partial discharge in ultra high voltage (UHV) substation is first introduced. Secondly, the types of PD EMI are described in detail. Finally, the principle of blocking electromagnetic source is introduced and the blocking measures of each electromagnetic interference source are analyzed in detail. The results show that the actual equipment test of UHV substation is complex, and there are many factors affecting the test accuracy. Therefore, the field test of UHV substation is the most complex and precise test item at present. The time of noise interference of pulse signal is short and the distribution of signal is wide. This kind of interference is also repetitive, but the orientation of the display is relatively stable, and the waveform also has certain rules. Thyristors use relatively weak current to grasp relatively strong current, and the process is very short. At the same time, the period of application is very long and the stability is very strong. Recursive filters are used. The workload of calculation is greatly reduced, but there are many disadvantages. In practical UHV substation, the sources of PD are closely arranged, so it is suitable to use recursive filter. After using wavelet transform to disperse EMI sources, it can block the sources in different regions.
Study on Green Energy-saving Strategies of Existing Building Roofs in Xi’an City of China
Authors: Wei Shule , Liu Shan
Published: March 2020

Taking existing residential buildings in Xi’an as the research object, this paper puts forward energy-saving transformation strategies from flat roof to slope, evaporative cooling structure of roof water storage, green roof and roof ventilation structure, aiming at providing technical model and transformation experience for existing residential buildings in hot summer and cold winter areas.
Collaborative Optimal Operation of AC/DC Hybrid Microgrid with High Proportion of Renewable Energy
Authors: Wang Xiaoxiao , Wang Hao
Published: March 2020

Complexity of collaborative optimal dispatching and uncertainty of system are enhanced with the increase ratio of renewable energy in AC/DC hybrid microgrid. The prediction error of the output of renewable energy as a fuzzy variable is treated in this paper. Then a fuzzy chance constrained collaborative optimal model of AC/DC hybrid microgrid considering economy and flexibility is established. In view of the problems that both uncertain programming and mixed integer programming are contained in the model, where conventional algorithms have difficulty in solving it, the thought of fuzzy simulation into the neural network algorithm is introduced in this paper and the uncertainty of the source side by training the neuron to simulate the uncertainty is solved. Finally, the discrete binary particle swarm optimization to solve the integer programming is introduced. Based on the field data of a certain AC/DC hybrid microgrid demonstration project in Zhejiang Province, the effectiveness of the model and algorithm are verified.
Review of Optimal Dispatching of Combined Heat-Power System for Wind Power Accommodation
Authors: Cui Dai , Jiang Di , Jiang YuQing , Ge Wei Chun , Cong HaiYang , He ChaoJun , Li Feng
Published: March 2020

The contradiction between seasonal heating demand and large-scale wind power accommodation causes wind curtailment at nighttime during high heat load period. How to improve wind power accommodation has become a concern of the whole society. Aiming at this problem, the electrothermal characteristics of Combined Heat and Power (CHP) units are briefly reviewed, and then the relevant research results at home and abroad are summarized from the aspects of adding electrothermal coupling equipment and grid lean dispatching. The paper summarizes the principle and characteristics of adding electric boilers and heat storage devices to improve wind power accommodation, as well as the lean dispatching methods of the power grid for the CHP units. The practical application of decoupling thermoelectric coupling constraints at home and abroad is also expatiated. Finally, the next step work that needs carrying out in the power side and the grid scheduling side is pointed out.
Method of Fault Diagnosis based on Granular Reasoning and Directional Graphic of Fault Propagation
Authors: Dang Junxiao , Kang Qi , Ma Simin , Qian Liyang
Published: March 2020

The directional graphic of fault propagation is established based on the clock circuit of the broadcasting station and granular reasoning method and directional graphic of fault propagation are unified. The sample sets of the fault are obtained according to the circuit simulation and analysis, after that the sample sets of the fault decision is transformed into decision table which reflects the relation of faults and symptoms, then the decision table is transformed into the corresponding granular based, consequently fault source that most likely occurrence to fault is found by searching granular based and computing the most similarity.
Research on Improvement Path of China’s Smart Grid Security Control
Authors: Teng Chengxiu
Published: March 2020

At present, China’s smart grid construction has made great progress, and its safety control problems have gradually surfaced. Through literature review and investigation, this paper finds that the country’s smart grid still has information interconnection, inadequate and unreasonable allocation of security resources, imperfect security control system and many security vulnerabilities. It proposes to build a complete smart grid information management system and increase intelligence. The improvement of the safety resources of the power grid and the improvement of the safety management system of the smart grid require the government to complete the work with the smart grid operators.
Small Object Detection with Multiple Receptive Fields
Authors: Zhang Yongjun , Shen Tao
Published: March 2020

Small object detection has been a problem in deep learning convolutional neural network models. A multi-rate dilated convolution module is proposed to form a feature map to locate small objects. Benefiting from the fact that the dilated convolution does not add extra complexity while maintaining the characteristics of the high-resolution feature map, this paper replaces the traditional convolution network by setting the dilated convolution with the ratio of 1, 2, and 5, and fuses the different convolution rate convolutions. The feature map branch, extracting high-level features, using the FPN algorithm as the basic network framework, combining a variety of receptive field feature maps, enhancing the detection ability of the algorithm for small objects, and the convergence accuracy is greatly improved. Experiments show that the proposed method achieves 81.9% MAP in the PASCAL VOC2007 dataset, which exceeds the traditional object detection algorithm.
Analysis of Equivalent Pulling Mechanism of Tension Based on Similar Suspension Principle
Authors: Dai Hailin , Yi Wangmin , Meng Fanwei , Wang Wei
Published: March 2020

Aiming at the requirement of zero gravity unloading efficiency of space mechanism in ground test stage, the design of equivalent tension mechanism based on similar suspension principle is proposed. By designing the suspension element, the tension is applied to the finite structural points on the spatial mechanism and applied to the actual center of mass of the spatial mechanism, thus counteracting the influence of gravity. In this paper, the structure of suspension element with equivalent tension is introduced in detail. The key components are analyzed by finite element method. The results show that the structure design meets the requirements.
Structural design of wind turbine tower climbing robot
Authors: Huang Zengji
Published: March 2020

This paper combines the actual needs of the structure design of the climbing robot, uses the three-dimensional software to virtual design the mechanical structure, and performs finite element simulation on the key components to verify the reliability. On this basis, the components with higher quality are Topology optimization reduces weight without reducing stiffness, enabling lightweight design and improved overall performance. Through the structural design of the robot, the overall layout of the robot is functional. Important parts such as the body, power system, and mobile system are designed in detail, and the physical parts of the prototype are processed. Converting the roll cage design in the racing field into the body design of the robot to increase the rigidity of the body.
Transmission Line Loss Prediction by Cross Validation and Gradient Boosting Decision Tree
Authors: Yu Jicheng , Zhou Feng , Zhu Kai , Yue Changxi , Wang Jiangchu , Xie Congzhen
Published: March 2020

To solve the problem of the accuracy and generalization of the transmission line loss prediction, a new method for transmission line loss prediction based on cross-validation (CV) and gradient boosting decision tree (GBDT) is proposed. In this method, time granularity matching and statistical feature extraction are firstly carried out to improve the information content of the data. Then the data is divided into a training set and test set by CV method to train the GBDT model. Finally, the actual transmission line loss verification test is conducted. The result shows that for 500kV transmission lines with an average daily supply of 7990MWh, the average line loss error of this model is 35MWh, and the average line loss rate error is 0.093%, which verifies the effectiveness of the method in this paper.
Research on Fault Diagnosis of External Short Circuit of Lithium Battery for Electric Vehicle
Authors: Liu Changchun , Wu Tao , He Cheng
Published: March 2020

This study conducted an experimental study on the external short circuit (ESC) fault characteristics of lithium-ion batteries for electric vehicles. An experimental platform was established to simulate the electrical behavior of lithium batteries during ESC failure using a modified first-order RC model. The model parameters are reidentified by the dynamic neighborhood particle swarm optimization algorithm. An ESC fault diagnosis algorithm based on two-layer model is proposed. The first layer performs initial fault detection and the second layer performs accurate model-based diagnostics. The four new units are shorted to evaluate the proposed algorithm. The results show that the ESC fault can be diagnosed within 5 s, and the error between the model and the measured data is less than 0.36 V. The proposed algorithm can make a correct diagnosis.
Research summary of key technologies of smart grid based on active distribution network
Authors: Huo Yingzhe , Yu Hai , Zhang Wenjie , Yin Xiaohua , Wang Qun
Published: March 2020

Active distribution network is an important scheme to make the distribution network safer, more reliable and more economical in the environment of distributed power development. It is an important part of smart grid. Scholars at home and abroad have put forward many key technologies. This paper expounds the key technologies of active distribution network from four aspects of active distribution network planning access, active distribution network control, fault recovery and load control Research status, and then compared its advantages and disadvantages, finally introduced the application prospects.
The Evaluation of Power Grid Projects’ Investment Based on the Reform of Transmission and Distribution Price
Authors: Du Ying , Ma Tiannan , Wang Qing , Hu Lin , Wu Guangchuan
Published: March 2020

This paper designs the evaluation model of power grid investment benefit based on the characteristics of grid enterprises, so as to improve the investment efficiency of power grid projects under the reform of transmission and distribution price in China. Firstly, designed the evaluation index system of investment benefit, Then, the relevant importance of each index is determined by questionnaire survey method. Besides, the weight was calculated by AHP. Finally, the evaluation model of investment benefit is constructed.
Short-term Load Forecasting Model Based on IBFO-BILSTM
Authors: Zhou Zhengnan , Wu Guoqing , Zhang Xudong
Published: March 2020

Short-term power load forecasting has always been a very important position in power grid operation. Improving prediction accuracy has great significance for improving the power company’s dispatch efficiency and economic benefits. In view of the feed-forward neural network cannot learn the time series relationship between load data, a hybrid depth model based on improved bacterial foraging algorithm (IBFO) and long short-term memory (LSTM) network is proposed for short-term power load forecasting. Using historical load data and its associated temperature data and date information as input, the initial weights and bias are optimized by improved bacterial foraging algorithm, and the multi-layer bidirectional LSTM neural network is used to mine the hidden time series relationship between input data, and finally output prediction. The proposed prediction model was verified by using the historical load data of Nantong. The data shows that the proposed model has higher prediction accuracy than other models.
Mechanism and Optimized Design of Vehicle Quiescent Current
Authors: Li Qing , Li Chuang , Hu Mingxin , Ding Guohui
Published: March 2020

This paper analysed the quiescent current generation mechanism of vehicles and the four stages of quiescent current presentation during the vehicle rest process. Then the quiescent current is optimized from the perspective of ECU and vehicle electrical design. Finally, standardized recommendations for test rectification were proposed.
Research on Video-Based Human Action Behavior Recognition Algorithms
Authors: Si Haifei , Hu Xingliu , Wang Yizhi
Published: March 2020

Human action recognition is an important part of intelligent video processing, which has high research value and broad application prospects. This paper takes the video monitoring of the elderly living alone as an example to recognize human behavior, and chooses the video of indoor background taken by a single camera as the research object. The background subtraction method is used to extract moving objects from video, and the extracted moving objects are pretreated. Then, according to the overall outline of the object or the obvious features of a part of the object, the motion features are obtained to understand and identify the movement of the monitored object, such as walking and falling. Experiments show that the proposed algorithm has better processing effect for actual video.
The selection of ecological source of Changjiang County based on granularity inverse method and principal component analysis
Authors: Li Changqing , She Jiyun , Lu Yu , Wu Yi
Published: March 2020

This paper took Changjiang County as the study district. The selection of ecological source were analyzed by using GIS technology, granularity inverse method and principal component analysis. The result of the granularity inverse method and principal component analysis was that the optimal landscape composition structure of Changjiang County had a particle size of 600 m; there were 14 ecological sources aggregately, and 23 pieces of ecological landscape patches needed to increase newly. Besides, the distribution trend of ecological source was characterized by a large quantity but small scale in the central section and small quantity but large scale in the southeast and northwest, which was mainly influenced by human disturbance.
Research on Bus Passenger Flow Analysis Method Based on Intelligent Transportation
Authors: Xie Zhouhu
Published: March 2020

In recent years, with the rapid development of intelligent transportation, IC card data of passengers can be obtained through on-board instruments, and passenger flow information of bus stations can be obtained by using computers without manual investigation. However, smart bus technology has not been fully popularized in many small and medium-sized cities, so it needs to be combined with other data for calculation and analysis. How to use multi-source data to comprehensively grasp the current situation of public transport passenger flow information, so as to meet the needs of public transport scheduling management and network optimization, has certain research value. Based on the new method of bus passenger flow data collection, this paper calculates the bus IC card holders’ upstream and downstream stops.
Research on the coordinated development of green innovation, environmental pollution and energy consumption
Authors: Zeng Han , Li Hong
Published: March 2020

the article from the environmental benefits of green innovation, respectively in green technology patent Numbers, unit gross industrial waste gas emissions, the unit GDP energy consumption as an index, based on the time series data of 1987-2017 multivariate VAR model, and through the granger causality test and generalized impulse response analysis and variance analysis method, to explore the green innovation and environment pollution and energy consumption in our country. The results show that green innovation can indeed improve environmental pollution and energy consumption to some extent, but due to the immature development of green innovation in China, its effect on improving environmental pollution and energy consumption is limited.
Improvement of construction waste resource treatment process
Authors: Li Yue
Published: March 2020

With the continuous increase of construction waste production in China, the treatment of construction waste resources is an important way to reduce. In this paper, the problems existing in the traditional process are improved and optimized. The improved process flow is optimized from four aspects: increasing the crushing ratio, improving the screening effect, enhancing the aggregate strength and reducing the dust. The focus is on the particle shaping and strengthening process, gel strengthening process and crushing spray dust removal process of the crushed aggregate, which makes up for the shortcomings of the current treatment process and improves the treatment efficiency and quality of construction waste. The focus is on the particle shaping and strengthening process, gel strengthening process and crushing spray dust removal process of the crushed aggregate, which makes up for the shortcomings of the current treatment process and improves the treatment efficiency and quality of construction waste. It can provide reference for the treatment of construction waste resources.
Research on Kunming Smart City Development Based on TOPSIS Model
Authors: Li Yunfen , Wang hao , Yang shuai
Published: March 2020

This paper collected wisdom city from 2013 to 2018 the relevant index data, build the evaluation model of urban development, kunming wisdom using TOPSIS method and entropy weight method to the development level of wisdom cities, find wisdom in kunming, problems existing in the process of urban development, and puts forward relevant Suggestions and countermeasures, hoping to provide some reference to the development of wisdom in our country city.
Research on Regional Ecological Compensation Mechanism Based on Improved Footprint Model and Ecosystem Service Value
Authors: Yan Wei , Liu Yanzhong , Chen Yong , Zhang Zuo , Zhu Xiaonan , Song Gaifeng
Published: March 2020

In order to solve the problem that the compensation and environment in the ecological compensation are separated from each other and the theoretical compensation amount is excessively high, it is of great significance to study the establishment of a reasonable and feasible ecological compensation mechanism. From the perspective of ecosystem service value, this paper substitutes and replaces the sustainable ecological profit and loss index calculated by the “consumption-output” ecological footprint model and compensation correction coefficient on the calculation idea based on the unit area value equivalent factor. The new ecological compensation standard and the accounting method of compensation priority are obtained, and the empirical analysis is carried out in Linxiang City as an example. Results are as follows: (1) The total value of ecosystem services in Linxiang City is higher, but the regional distribution is different, and the supply and demand are not balanced in space. (2) The regional ecological compensation standard model of Linxiang City has certain rationality. The ecological compensation standards of all regions are smaller than the upper limit of ecosystem service value. (3) Chengfeng Township first obtained ecological compensation, Chang`an town paid compensation first, and Taolin Town finally received compensation. The ecological compensation standard revised by the “consumption-output” model is economically reasonable within the regional GDP tolerance. The compensation is based on the “high non-market value output” and low GPD output area as the priority to obtain compensation logic. And the logic is in line with the concept of reality.
Study on treatment of concentrated solution by landfill leachate membrane filtration
Authors: Zhong Wei , Wang Peiyao
Published: March 2020

With the rapid development of economy and science and technology level unceasing enhancement, our country’s industrialization development is rapid, the resulting increase in the number of garbage also gradually, landfill is the main way of garbage disposal in China at present stage, the landfill method can produce lots of rubbish leachate disposal of garbage, it is a kind of complicated composition of high concentration organic wastewater. In recent years, the treatment of landfill leachate with new membrane separation technology represented by reverse osmosis and nanofiltration has been widely used in Europe and America and other developed countries and regions. The present research on the treatment of concentrated solution by landfill leachate membrane filtration is reviewed.
Study on industrial pollution discharge and environmental control in Beijing, Tianjin and Hebei
Authors: Yuan Qingmin , Liu Shilei
Published: March 2020

Prevention and control of pollution and improvement of environment are the internal requirements of regional coordinated development. Industrial pollution is the main cause of air pollution in Beijing, Tianjin and Hebei, which has affected people’s quality of life. The development strategy of “integration of Beijing, Tianjin and Hebei” has risen to the level of national strategy. The contradiction between the rapid development of regional industrialization and environmental pollution is becoming more and more serious. The pollution situation is obviously regional and the pollution is becoming more and more serious. Therefore, taking Beijing Tianjin Hebei region as an example, it is of practical significance to study the current situation of industrial pollution control in Beijing Tianjin Hebei region, so as to promote the “integration of environmental protection” in Beijing Tianjin Hebei region.
The Influence Mechanism of Class Identification and Environmental Values on Garbage Classification Behavior
Authors: Yang Hongxiong , Chen Xin
Published: March 2020

The current thermal measurement of sewage sludge in urban sewage treatment plants is mainly based on the determination method of coal calorific value. The calorific value of a secondary sewage treatment plant in a city was measured by an automatic calorimeter. The high calorific value of the sample is obtained by referring to the calorific value measuring method of coal. The results show that the sludge drying base heat value in the process section is relatively high, basically all above 12kJ/g. The theoretical analysis of the calorific value of the same batch of samples is in good agreement with the measured results.
Study on the decoupling relationship between energy consumption, pollution emission and economic growth in Tianjin and its cause
Authors: Hao Hongquan , Wang Yingchun
Published: March 2020

Based on decoupling index, the decoupling of energy consumption, waste gas and waste water emissions and economic growth in Tianjin from 2006 to 2016 was comprehensively compared, and the factors behind each situation were analyzed. The research shows that the average growth rate of energy consumption in Tianjin from 2006 to 2016 is 7.62%. Energy consumption is mainly consumed by the secondary industry. Energy consumption intensity is the main restraining factor to reduce pollution emissions, and the restraining effect is increasing year by year. Economic intensity factors have a positive impact on carbon emissions. Therefore, Tianjin emission reduction can be controlled in such aspects as strictly controlling high-energy consumption industry, increasing technical input and using economic leverage.
Assessment Research on the Quality of Government Wechat Subscription Service under the Perspective of Low-Carbon Government
Authors: Xie Libin
Published: March 2020

WeChat has already become an indispensible social application for Chinese people nowadays. The usage of government WeChat Subscription is beneficial for the convenience of citizens to receive services from the government, which will endow a great promotion on the construction of low-carbon government and the reduction of administrative costs. This article makes use of the analytic hierarchy process to determine the key impact indicators and construct the assessment model for the quality of government WeChat subscription service under the perspective of low-carbon government.
Research on the Generation Method of CBTC Test Sequence
Authors: Si Xinyue
Published: March 2020

Before the CBTC line is opened for operation, it should be tested on site to verify whether the system meets functional requirements, design specifications, and operational requirements. At present, there is no uniform test standard for the field test work of the CBTC system, especially the lack of standard and systematic field test sequence generation methods. In this paper, the test-trip based field test scheme is studied, and the test-trip based field test sequence generation method is proposed, and various rules and definitions under the framework of the method are explained.