bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the key technologies of the end-to-end intelligent dual live data center architecture
Authors: Yuan Gang , Wen Shengjun 
Published: March 2020

Abstract
As a direction of the current government informatization,dual live data center can be understood as both have a high availability architecture of production system, also is a kind of disaster information system construction model. Dual live data center can not only solve the government information system of business continuity and data reliability, but also can reduce the load balance of business requests and the resource operation pressures on production part.It can improve the effect of system efficiency and the user experience. But most of current dual live data center architecture is “not real dual live”, it is only dual live in some aspects, it will not have negative impact on system external service when the specific failure occurs. In this paper, an end-to-end “full dual-activity" system architecture is proposed. By building a dual-activity system at various technical levels, two fully dual-activity data center architectures are realized. The data center constructed by this technical route can be backed up and switched intelligently, It can deal with the vast majority of failures and disasters, and provides a more reliable guarantee for the safe and smooth operation of the government information system.
Development of Physical Simulation Experiment Technology for Blast Furnace Coal Injection Ironmaking
Authors: Zhou Xiaolei , Pu Song , Liu Ningbin 
Published: March 2020

Abstract
The coal injection process of blast furnace has certain particularity. Including gas movement, material movement, coal gasification process, coal combustion and other phenomena. However, the actual conditions of the laboratory are limited, and these phenomena need to be simplified. The key of physical simulation is to design the experimental model correctly. The basic theory of the correct design of the experimental model is the principle of similarity, that is, to establish the experimental model satisfying the main similarity conditions. So as to ensure that the main physical phenomena in the model and prototype are similar. A series of measurements were carried out during the experiment. Get the knowledge of the corresponding change law of the prototype. In the process of experiment, it is necessary to make sure that the model has the same number, material balance and heat balance. Otherwise, it is difficult to achieve the equilibrium state in the experimental process and obtain meaningful experimental results.
Optimization Design of CRC Circuit in UHF RFID Tag Baseband
Authors: Chu Qi , Tao Sha , Xiao Wan’ang , Gao Wanlin , Zhang Yan’e 
Published: March 2020

Abstract
Aiming at the requirements of EPC Class1 Generation2 (EPC C1G2) and the GB/T 29768 Information Technology Radio Frequency Identification 800/900MHz Air Interface Standard, the paper presented an optimization design of CRC Circuit in UHF RFID Tag baseband. First, the principle of CRC and RFID tag baseband structure are described; To optimize the power consumption and work efficiency of the cyclic redundancy check (CRC), the CRC unit is designed by parallel calculation and circuit multiplexing, then RTL-level coding and function simulation are carried out for the CRC unit; At last, using the SMIC 0.18μm process library to synthesize the logic circuit. The experimental results show that the optimized design is superior to the traditional serial circuit. The hardware area is reduced by about 29%, the timing is reduced by about 22.3% and the total dynamic power consumption is reduced by a small amount.
Research on the Application of Intelligent Construction Site in Construction Site Management
Authors: Zhang Meng 
Published: March 2020

Abstract
China’s construction industry has developed rapidly, and the traditional management methods can no longer adapt to the current construction projects. It has become an inevitable trend to change the management methods of construction sites by using information technology. The use of information technology to manage personnel and the site, and the application of intelligent worksite to the construction site, can better manage the site and bring more efficient management methods to the construction site. This paper mainly analyzes the quality and safety problems in the construction site, and uses the implementation methods of training, teaching and technical methods to reduce the quality and safety problems in the construction site with the help of the concept of intelligent construction site, so as to achieve the purpose of improving the management efficiency of the construction site.
Research on Control Strategy of Electric Heating Load Cluster
Authors: Han Ninghui , Li Dezhi , Lu Bo , Zhou Ying , Li Qing , Li Shupeng , Gong Feixiang 
Published: March 2020

Abstract
At present, due to the rapid development of the economy and the unceasing enthusiasm of the modernization process, human beings are increasingly dependent on electric energy. The development of renewable energy and energy efficiency have become the consensus in the energy field. The randomness of in the future solar power generation, wind power and other intermittent and new energy sources in the power grid continue to rise, which is bound to occupy an increasingly important position power energy structure. The active regulation capability of the “power supply side” in a high-ratio renewable energy grid is degraded. To ensure safe and efficient operation of the grid, it is imperative to develop the regulation capability on the load side. This paper establishes a cluster aggregation model, clusters the electric heating load through scientific and rational grouping, makes the electric heating load form a load group for unified regulation, formulates an appropriate cluster optimization control strategy, and makes full use of the cluster electric heating control potential to achieve peak clipping. Fill the valley, effectively improve the regulation capacity of the grid.
A Multi-parameter driving and measurement circuit of ultrasonic motor
Authors: Chen Ning , Fan Shixun , Fan Dapeng 
Published: March 2020

Abstract
In this paper, an integrated multi-parameter circuit is designed to meet the requirements of the ultrasonic motor for driving and measurement. The original signals are generated by the DDS method in FPGA. Then, to assure the purity of actuating signals, the linear amplifiers which operate with the transformers are chosen. Moreover, currents and voltages are obtained by their respective transformer modules, which are verified by the experiment results that the voltage measurement error can reach 1.3V, the current measurement error is 3mA, and the bandwidth can reach 60 kHz. Finally, the better actuating signals are obtained comparing with the traditional commercial driver and the repeatability of the parameter adjustments are achieved.
Development and Engineering Application of AC Charging Pile for Energy Internet Router
Authors: Xiao Yuhua , Wei Bin , Lv Peng , Kong Yun , Huang Jian 
Published: March 2020

Abstract
At present, in the context of the rapid development of green new energy and environmental protection requirements, it is of great significance to build an energy Internet ecosystem based on charging network and vehicle networking platform. In this paper, the system block diagram of ac charging pile of energy Internet router is given. At the same time, based on the overall scheme design, the control strategy of the energy Internet router ac charging pile is introduced in detail. Finally, the development of the prototype is given, and a demonstration application project of the energy Internet router ac charging pile is established in shanheyuan community, Yangzhou, Jiangsu province.
Key Technologies and Applications of Cloud Energy Storage
Authors: Zhu Yanping , Wu Ping , Fang Huanhuan , Zhang Yueguang , Xie Fei 
Published: March 2020

Abstract
Due to the fluctuation of electricity market price and intermittence of new energy generation, the demand for energy storage in the power system is also increasing. However, due to the high cost of energy storage construction and the long payback period of investment, users are not willing to build energy storage. Cloud energy storage is one of the development directions of energy storage in the future. This paper introduces the definition, characteristics and research status of cloud energy storage in detail, analyzes the relationship between cloud energy storage and distributed energy storage, summarizes the key technologies and business models of cloud energy storage, and prospects the future development of cloud energy storage.
Identification of electrical equipment based on two-dimensional time series characteristics of power
Authors: Jia Dongning , Huang Xianqing , Du Zehua , Li Ruixue , Li Kexin 
Published: March 2020

Abstract
Non-intrusive load monitoring provides real-time monitoring of the operational status of individual devices in the home and provides detailed power usage data. In this paper, a deep neural network structure with residual module and Batch Normalization layer is proposed for the problem that it is difficult to extract complete features. The new method of converting power data into two-dimensional image is used to identify electricity device. Finally, the accuracy rate of the test in the data set containing 21 kinds of electrical equipment is 97.2%. The experimental results show that the method has high recognition for a large number of household electrical equipment, especially for appliances with multiple states and fewer samples rate.
Review of integrated energy system under deep integration of cyber-physical system
Authors: Zhu Bingquan , Zhang Lijun , Xu Kangxuan , Zhang Xizhu , Hu Yishuang , Ding Yi 
Published: March 2020

Abstract
The safe and reliable operation of the integrated energy system (IES) under the deep integration of the cyber-physical system (CPS) relies on accurate modelling of information systems and energy systems. With the increasing requirements of the society on the operation of IES, it is very important to carry out corresponding modelling researches considering CPS. Firstly, this paper introduces the concepts of IES under deep integration of CPS. Secondly, the equivalent models for energy systems, information systems and integrated systems are pointed out, respectively. Finally, considering the correlation between information systems and energy systems, the future research directions of integrated cyber-physical energy systems are proposed.
The application of power quality signal de-noising based on the improved wavelet threshold function
Authors: Zhong LiangLiang , Wang Hanfeng , Xu Wei , Liu Yu , Wu Gang , Liu Chitao , Lin Shunfu 
Published: March 2020

Abstract
The contradiction between de-noising and preserving the local features of the original signal simultaneously cannot be solved with the traditional wavelet threshold function (TF), and thus an improved combination of soft and hard threshold functions (TFs) of power quality signal de-noising is proposed in this paper. The improved wavelet TF is utilized to overcome the problem of “Pseudo-Gibbs phenomenon”, the deviation of wavelet coefficients, caused by the traditional wavelet TF, which fills a gap for the deficiency of wavelet soft and hard threshold de-noising, and with stronger adaptability. Finally, the de-noising tests of three typical signals of power quality are simulated based on MATLAB R2016a. Compared with the traditional wavelet TFs, the results obtained based on the proposed improved wavelet TF can guarantee better effectiveness and feasibility.
Dynamic behavior analysis of backup protection for HVDC transmission line
Authors: Han Kunlun , Dai Yu , Song Haigen 
Published: March 2020

Abstract
The backup protection of HVDC transmission line consists of differential undervoltage protection and differential protection. In this paper, based on the actual parameters, the simulation model of differential undervoltage protection and differential protection for DC line is built. The response regularity of each criterion of the two protections under different fault conditions is studied. The basic functions of each criterion are defined, which provides an important basis for the setting calculation of DC line backup protection.
Research on Risk Assessment of Turbine Regulation System Based on Markov State Model and Entropy Weight Fuzzy Comprehensive Evaluation Method
Authors: Xu Jing , Cui Jiashuo 
Published: March 2020

Abstract
In recent years, the hydropower unit is developing towards high power, and large-scale, which increases the adjustment difficulty of the turbine regulation system. In addition, the turbine regulation system itself is a complex nonlinear system. The risk of system operation and risk assessment has become more complicated. This paper proposes a method to evaluate the operational safety risk of Turbine Regulation System by combining Markov State Model and Entropy Weight Fuzzy Comprehensive Evaluation Method. Firstly, the full-state operation model of the turbine regulation system is established. The Markov model is used to calculate the probability of fault occurrence. Secondly, the Entropy Weight Fuzzy Comprehensive Evaluation Method is introduced to evaluate the severity of the fault. Finally, a risk assessment system is established based on the probability of failure and the severity of the failure.
A Non-Intrusive Load Monitoring System Based on Blacklist Detection
Authors: Liu Zixuan 
Published: March 2020

Abstract
Electric utilisation safety is widely recognised as an important issue. Most electrical accidents can be concluded to the unallowed access of certain kinds of electrical appliances, hence can be effectively prevented by a blacklist-based detection. However, this ability is lacked in many of the existing Non-Intrusive Load Monitoring (NILM) system. This paper proposes a novel blacklist-based NILM system capable of extracting valuable information from the main wire when unallowed risky appliances are switched on in a household. Comprehensive methods are proposed to optimise the accuracy of detection and the self-learning ability on blacklist extension. Experimental results show that the proposed methods yield outstanding performance. The proposed system is applicable for unallowed appliances management, from the inhabitants or from the grid operator’s point of view.
Sensorless Control of a Tubular Oscillatory LPMSM based on MARS and Deadbeat Current Predictive Control
Authors: Lu Kang , Wu Tao , Chen Haonan , Wang He , Gao Jia 
Published: March 2020

Abstract
In the vector control system of the tubular oscillatory linear permanent magnet (PM) synchronous motor (LPMSM), it is difficult for traditional mechanical sensors to accurately obtain the feedback information under harsh conditions. In this work, a speed sensorless vector control system is designed and applied to the tubular oscillatory LPMSM which adopts the model reference adaptive system (MRAS), and the deadbeat current predictive control (DCPC) is also adopted to replace the traditional PI current loop to establish the coordination controller, which overcomes the difficulties of global optimization and PI control parameter setting. And the method is proved by the simulation results and it gets better dynamic performance.
The feeder outage prediction model based on Optimization and Improvement of Random Forests Algorithm
Authors: Zhu Jiajia , Zhou Lanbo , Lu Liming 
Published: March 2020

Abstract
The accurate prediction of feeder monthly fault level is the key to distribution network operation and maintenance. Aiming at the problems of low prediction accuracy, a method based on improved random forest to predict feeder monthly fault level is presented. Compared with the similarity calculation method of original random forest sample, this one increases the measurement of leaf node path distance, and applies the improved sample similarity to classification problem. Through the experimental comparison in the fault database of distribution network, the improved method can achieve a better classification effect than the original one, thus proving the effectiveness of the improved method.
Harmonic emission level evaluation method of photovoltaic system based on relevant vector machine
Authors: Yang Linghui , Yao Weiqiang , Pan Ling , Zhou Jian , Chen Ran , Feng Qian , Zhang Peng , Zhao Jinshuai 
Published: March 2020

Abstract
With the increasing connecting of photovoltaic systems, the harmonic pollution in power grid is deteriorated. The evaluation of the harmonic emission levels for photovoltaic system is significant for harmonic mitigation. However, when the background harmonics are unstable, traditional evaluation methods have large calculation errors. To solve this problem, a method based on the relevant vector machine is proposed in this paper. Compared with the traditional vector machine based method, the novel one can reach a high calculation accuracy, even when the background harmonics is relatively unstable. The validity for our proposed method is verified by simulation analysis.
Hardware Design of Non-contact Voltage Detector Based on STM32 Microcontroller
Authors: Zhang Xuemin , Zhang Peng , Shi Yuqing , Dang Junpeng , Yuan Liwei 
Published: March 2020

Abstract
In view of the time-consuming and labor-intensive problems of traditional contact electroscopes, this paper designs a hardware system of non-contact voltage detector based on STM32 single-chip microcomputer. The hardware design mainly includes signal amplification and conditioning circuit and power module, Wireless transceiver module, display and alarm module, etc. In order to reduce the distortion of electric field caused by human during measurement, a wireless transceiver module device is adopted, which has a simple structure and can meet the engineering requirements of the non-contact power inspection of the transmission line.
A Way to Evaluation the Process Immunity Time of Customers’ Sensitive Industries Processes
Authors: Xu Zhong , Mo Wenxiong , Luan Le , Guo Qianwen , Zhou Kai 
Published: March 2020

Abstract
The premise of voltage sag mitigation for sensitive industrial processes is to reasonably assess the economic losses caused by voltage sag. And the process immunity time is the key information in the process of economic loss assessment. Existing research usually obtains process immunity time through monitoring systems or overall testing. However, in the actual situation, due to various constraints, the traditional method of obtaining the process immunity time is inconvenient. To get PIT more conveniently, a sensitive process immunity evaluation method based on response information flow is proposed in this paper. This method regards sensitive industrial processes as a composite system. According to the function of each part of the system and the response characteristics of voltage sag, it can be divided into three modular combinations, which are delayed structure, competitive structure, and conductive structure. According to the delay time and module combination characteristics of module response to the voltage sag, the propagation path of response information flow caused by sag can be determined, and the process immunity time can be evaluated.Finally, a case study of the painting process of a car factory in southern China shows that the proposed method can be applied to the sensitive process immune time assessment.
A Novel Reconfiguration Strategy of Distribution Network
Authors: Sun Xuri , Li Yanzhen , Cui Mei 
Published: March 2020

Abstract
Distribution network reconstruction is important for the reliable operation of distribution network. This paper establishes a mathematical model by using random weight for multi-objective optimization. A new algorithm is proposed based on binary particle swarm optimization (BPSO) algorithm, which can quickly adjust topology and cut off load in limit state. The new algorithm improves the distribution network’s reliability with the advantages of lowest power loss, better load balance and highest power supply capacity. Finally, the performance of the proposed method is tested on IEEE 33-node power distribution system.
Study on Orderly Charging of Electric Vehicles Based on Time-of-use Electricity Price
Authors: Zhou Zhixin , Song Bin 
Published: March 2020

Abstract
The huge power grid load caused by large-scale centralized charging of electric vehicles is the main factor restricting the development of electric vehicles. At present, there is no definite method to reasonably allocate the charging load of electric vehicles to reduce the load of the power grid. Aiming at the problem of electric vehicles charging, a method of electric vehicles orderly charging is proposed. The model of electric vehicle charging is built, and the method of using time-of-use electricity price to guide users to arrange charging time reasonably is put forward, which meets the differentiated needs of users. In order to verify the correctness of the conclusion, the Monte Carlo method is adopted to simulate the charging behavior of users, and the orderly charging mode is compared with the original disordered charging mode. The results show that compared with the traditional disordered charging mode, the orderly charging method can reduce the load of the power grid and achieve the effect of peak load shifting. In addition, it plays a certain role in reducing user charging cost and increasing charging pile utilization efficiency.
Modeling and Simulation of ±10 kV DC Transmission System based on Mechanical DC Circuit Breaker
Authors: Cui Jiashuo , Qin Ke , Long Zhisong , Xiu Shixin 
Published: March 2020

Abstract
In order to simulate the interruption process of mechanical DC circuit breaker in actual DC power grid and obtain various stress characteristics of DC circuit breaker in actual interruption process, it is necessary to establish a stable and effective flexible DC system model with good dynamic performance. In this paper, the controller models of system level, converter station level and converter valve level are established for the 10kV flexible DC system, and then the steady-state characteristics and dynamic characteristics of power step of the system are simulated. After analyzing the variation of voltage, current and power and dynamic response speed of converter station, the simulation results show that DC voltage and active power of the system operate stably according to the reference value and the fluctuation error of DC voltage is less than 1%. The internal and external loop controllers all track the dynamic changes of their respective command values rapidly within 0.5s. The control performance of the flexible DC system model can meet the requirement of the interruption simulation of DC circuit breakers.
Short-Term Reliability Prediction of Key Components of Wind Turbine Based on SCADA Data
Authors: Liu Ketian , Zhang Jun , Su Feng 
Published: March 2020

Abstract
In this paper, the Principal Component Analysis (PCA) method combined with the Radial Basis Function (RBF) neural network is used to establish a short-term reliability prediction model for wind turbines based on the SCADA data. The PCA method is used to reduce the dimensionality of the SCADA data and extract the principal components as the input data of the RBF neural network. The RBF neural network is used to predict the running state of key components of the wind turbine. Finally, a short-term reliability prediction model of wind turbines based on PCA-RBF is established. With the real wind farm SCADA data, the short-term reliability of wind turbine gearbox is predicted. The result shows that the short-term reliability prediction model can better reflect the reliability of key components and provide reference for the operation and maintenance of wind turbines.