bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Secondary Cable Identification Based on the Principle of Electromagnetic Induction
Authors: Bao Li Zhu , Yu Jia Yan , Wu Yu , Wu Hao , Tang Zhi Jun , Wang Jun Cheng 
Published: November 2021

Abstract
When the operation and maintenance station performs cable maintenance, installation measures, etc., due to the lack of direct and effective tools, and the complicated wiring of the operation and maintenance station equipment, the wiring diagram is inconsistent with the actual situation, which brings risks to the removal of waste cables. As an indispensable safety tool in the power industry, the cable identification device is an important means to ensure the safety of maintenance personnel. In view of the current situation, this paper analyzes the electric field around the cable line of the operation and maintenance station, and simplifies the simulation of the line, and proposes a secondary cable identification device based on the principle of electromagnetic induction, which can quickly identify the target cable, which greatly improves the cable identification performance. Efficiency reduces the time for cable identification and improves safety.
NB-IoT based method for monitoring the tilt status of transmission towers
Authors: Zheng Yan , Wu Yanfeng , Gao Jianchuan , Cui Shu 
Published: November 2021

Abstract
The current monitoring of transmission tower tilt status mainly uses a combination of manual and sensor data collection, which not only has low monitoring efficiency and high cost, but also makes it difficult to guarantee the monitoring accuracy. In response to the problems of the above research, the NB-IoT-based transmission pole tower tilt state monitoring method will be studied. Six-axis attitude sensor GY-521, wind sensor and tension sensor are used to collect the pole tower status data. The NB-IoT network is designed to transmit the noise reduction processed data to the base station, which is transmitted to the upper computer. The data is analyzed in the upper computer using LSTM network to get the monitoring results of the tilt status of the pole tower. The experimental results show that the maximum root mean square error of the proposed monitoring method is only 0.02701, which is much smaller than the comparison method, and the monitoring efficiency is high and the performance is more suitable for practical applications.
Design and Characteristics of CMOS Inverter based on Multisim and Cadence
Authors: Xu Haoran , Ding Jianghua , Dang Jian 
Published: November 2021

Abstract
Known as complementary symmetrical metal oxide semiconductor (cos-mos), complementary metal oxide semiconductor is a metal oxide semiconductor field effect transistor (MOSFET) manufacturing process, which uses complementary and symmetrical pairs of p-type and n-type MOSFETs to realize logic functions. CMOS technology is used to build integrated circuit (IC) chips, including microprocessors, microcontrollers, memory chips (including CMOS BIOS) and other digital logic circuits. CMOS technology is also used in analog circuits, such as image sensors (CMOS sensors), data converters, RF circuits (RF CMOS), and highly integrated transceivers for various types of communications. Based on multisim 14.0 and cadence, the characteristics and performance of CMOS inverter are studied by simulation.
Wireless power transfer system based on frequency and impedance matching hybrid adjustment against system detuning
Authors: Yuan Zhengnan , Fu Pengcheng , Lu Guangshuai , Cao Pengfei 
Published: November 2021

Abstract
System detuning caused by a variation in the distance between the transmitting and receiving terminals can greatly reduce the transmission power and efficiency of a magnetic resonance-coupled wireless power transmission (WPT) system, which limits the WPT application scope. This paper proposes a magnetic resonance coupling wireless power transmission system, which is based on jointly and continuously adjustable frequency compensation (CAFC) and two-transistor-controlled variable capacitor circuits (TCVCs). Therefore, this system can reach the resonant state by using CAFC and two-TCVCs when the transmission distance is changed. The proposed system can adaptively adjust combinations of the operating frequency and equivalent compensation capacitor’s capacitance to achieve impedance matching avoiding the phase difference caused by the imaginary part of the impedance, thus maintaining stable transmission efficiency under the condition of transmission distance variation. Compared to the traditional magnetic coupled resonant circuit based on impedance matching or variable resonant frequency, the proposed system achieves higher efficiency and stability and dynamic distance adaptation.
Research and classification of wireless power transfer with relative application
Authors: Qiu Muchen 
Published: November 2021

Abstract
In this paper, wireless power transfer (WPT) will be discussed in its research and application. The basic information like the reason why devices choose to use wireless power and the concept of typical WPT types is introduced. The wireless power transfer system can be divided into 5 diverse types by the theory of power transmitting, and the working principle will be introduced separately. Then, the detail of WPT via magnetically-coupled resonance is mainly discussed, including the analyzing methods, optimization scheme and the current problems. Finally, this paper give two examples on medical use and mobile phone battery charging. Using the technology of WPT, the problem of the medical tiny robots battery charging is solved, and it provides a more convenient method of charging the mobile phones without the cables. The wireless power transfer technique has potential advantages and broad prospects, which is of vital significance in power transfer development.
Characteristics and Applications of Superconducting Magnetic Energy Storage
Authors: Huang Yuyao , Ru Yi , Shen Yilan , Zeng Zhirui 
Published: November 2021

Abstract
Energy storage is always a significant issue in multiple fields, such as resources, technology, and environmental conservation. Among various energy storage methods, one technology has extremely high energy efficiency, achieving up to 100%. Superconducting magnetic energy storage (SMES) is a device that utilizes magnets made of superconducting materials. Outstanding power efficiency made this technology attractive in society. This study evaluates the SMES from multiple aspects according to published articles and data. The article introduces the benefits of this technology, including short discharge time, large power density, and long service life. On the other hand, challenges are proposed for future study. The high energy requirement of the cooling system and carbon emissions are some of the drawbacks of SMES. It’s found that SMES has been put in use in many fields, such as thermal power generation and power grid. SMES can reduce much waste of power in the energy system. The article analyses superconducting magnetic energy storage technology and gives directions for future study.
Application of Digital Twin Technology in Energy and Power Industry
Authors: Liang Xueqing , Du Shuming , Zhao Xiaofan , Liu Chao 
Published: November 2021

Abstract
Constructing digital twin of physical entity and analyzing twin data, and transfer learning method can be used to transfer the characteristics of twin to physical entity for analysis. This paper mainly studies the application of digital twinning technology in the energy and power industry. Aiming at the energy saving and control problem of building energy demand terminal, the fuzzy adaptive PID control algorithm is used to simulate the indoor HVAC system and lighting system, so as to solve the indoor temperature and illumination intensity are greatly affected by the weather, time-varying and unpredictable factors. By comparing with the conventional PID, we can see that the fuzzy adaptive PID controller adjusts faster, the output duty ratio is more accurate, and can achieve better control effect.
Hierarchical Control Strategy for Microgrid Based on Finite-time Consensus Algorithm
Authors: Tang Binfeng , Huang Ying 
Published: November 2021

Abstract
In order to overcome the shortcomings of centralized control strategy for microgrid, a hierarchical control strategy based on finite-time consensus algorithm is proposed in this paper. Based on the droop control, the control strategy uses the finite-time consensus theory of multi-gent system to solve the optimal power generation value of the system, and adjusts the droop coefficient to make the power generation power of the power supply the optimal value. Then the compensation of frequency and voltage is introduced by multi-agent technology to stabilize the system frequency and voltage at rated value.
A Smart Grid Planning Method with Coal-to-electricity Based on Multifactor Adaptability
Authors: An Jiakun , Yang Shuqiang , Wang Tao , He Chungaung , Jia Hongjie , Mu Yunfei , Dong Xiaohong , Zhao Yang , Tan Xiaolin , Guo Wei 
Published: November 2021

Abstract
In order to reduce coal pollution and improve air quality in winter, many cities in northern China began to promote coal-to-electricity, and a series of policy subsidies were released accordingly. With the implementation of coal-to-electricity, the characteristics of power network has been changed significantly and the traditional planning method is no longer applicable. To meet the needs of coal-to-electricity engineering, a smart grid planning method with coal-to-electricity based on multifactor adaptability is proposed in this paper. First, the coal-to-electricity load characteristics is analysed, and typical parameters is proposed based on the actual operation data, which considers the impacts of different types of equipment and breaks through the modelling difficulties of coal-to-electricity characteristics. Then, a smart grid planning method with coal-to-electricity based on multifactor adaptability is set up, which combines the influence of transmission capacity for each equipment, the investment capacity for each participant, and the social acceptance of the electricity price. Based on this model, the technical, economic, and environmental benefits of coal-to-electricity modification are coordinated. The application shows that the proposed method is concise and effective and provides useful suggestions for determining the coal-to-electricity scale, network planning and compensation policy, which supports the implementation of coal-to-electricity.
Research on Data Acquisition Technology of Distribution Automation Based on Internet of Things Communication Protocol
Authors: Wu HuiChao , He MingYi , Wei HaiZeng 
Published: November 2021

Abstract
With the gradual application of the Internet of Things technology in the field of distribution automation, distribution terminals gradually adopt the Internet of Things protocol to communicate with the master station system of distribution automation. while the master station system of distribution automation supports the access of the traditional power dedicated protocol terminal, it faces how to solve the problem which how to access the distribution terminal of the network communication protocol. This paper proposes the MQTT protocol data acquisition architecture based on the existing master station system of distribution automation system. Through the research on the transmission characteristics of power distribution service data and MQTT protocol, the message structure of the MQTT protocol carrying power service data and the source maintenance process of the equipment model are designed., It realizes the direct collection of the terminal data of the distribution Internet of Things in an object-oriented way, gives full play to the value of the existing distribution master station, reduces investment costs, and saves system maintenance workload.
Research on Multi-point Hopping Communication System in Power Network Based on Information Fusion Model
Authors: Yu Lifeng , Hu Kaibo , Lv Jiachen , Xia Zhiling 
Published: November 2021

Abstract
Multi-source heterogeneous information will cause access burden to the power network, resulting in poor performance of multi-point hop communication. Therefore, a multi-point hop communication system based on information fusion model is designed. The IEC61970/61968CIM is selected as the integrated bus general data acquisition scheme of the information fusion model. The local-global distributed information fusion mechanism is used to realize the communication of the power multi-point hop communication system. In this paper, the artificial neural network algorithm is used to fuse local information features, and according to D-S evidence theory, the global decision-level fusion is carried out from both the spatial domain and the time domain. Through the information fusion model, the multi-point hop communication information in the power network realizes efficient transmission. The experimental results show that the application of the system in the power network to implement multi-point hop communication, the packet loss rate is less than 0.25%, the transmission delay is less than 30ms, and the communication performance of the power network is improved
Design of distributed timing task scheduling system for smart grid
Authors: Tang WenSheng , Wang JinZhi , Fan Tao 
Published: November 2021

Abstract
With the rapid development of information technology and the growing scale of enterprise development, more and more enterprise application systems appear due to business scenarios, requiring the system to execute the specified business operations at the planned time, which is the demand of “timed tasks”. The rapid growth of business volume makes the number of timed tasks also increase massively, and the importance of timed task application scenarios requires more and more strict guarantee of reliable triggering of tasks. In this paper, to address these problems, we design and implement a distributed system providing timed task scheduling service based on Quartz, an open source lightweight job scheduling framework, and realize business modules such as timed task control service, trigger execution, lock grabbing trigger, unified configuration management, task load balancing and log management. The system has been tested and put into operation, and has completed the requirements well and achieved the design goals.
Research on residual current detection system of substation alternating current power supply
Authors: Li You , Xia Chuanfu , Zhuang Yuan , Liao Baoquan , Huang Shuai 
Published: November 2021

Abstract
Residual current monitoring of substation is essential to prevent electrical fire and plays an important role in the safety of substation. This paper studied residual current detection technology of substation AC power supply, and proposed a residual current detection system composed of three devices: sensing terminal, management terminal and monitoring terminal. The design could solve some difficult problems such as the secondary line caused by equipment installation, fault wave recording, fault location analysis, and early warning based on analysis of big data. The study could improve the intelligent level and maintenance efficiency of residual current monitoring in substation.
Intelligent detection method of abnormal state of power equipment based on infrared and visible image information
Authors: Liu Tao , Qu Bo , Li Guolong 
Published: November 2021

Abstract
Infrared thermal imaging cameras are usually used to detect the thermal state of the equipment. According to the heat radiation situation and temperature value emitted by the equipment, the thermal failure of the equipment is inferred, and whether the equipment is working is verified properly. This paper analyzes the thermal imaging principle of infrared technology and the characteristics of infrared images, and quantifies the surface temperature indicators of insulators. Through infrared and visible light image information, the pollution degree of insulators can be detected, and the abnormal condition of the equipment can be checked. The evaporation of moisture on the surface of the insulator mainly depends on the assumption that the surface heats up. A method for analyzing heat on the surface of wet-contaminated insulators is proposed, and the judgment conditions for arc generation in the drying zone and the drying zone and the heating models of the insulators in different operating conditions are established. The computer simulation results reveal the distribution of heat on the surface of insulators under different operating conditions, and the influence of the occurrence of drying zone and drying zone arc on leakage current and heating. The infrared thermal imaging test results of wet-contaminated insulators show that the model is reasonable and provides theoretical support for infrared thermal imaging detection of insulator contamination levels.
Research on the optimal strategy of pumped storage power station to provide multiple time-scale reserves
Authors: Li Xiaomeng , Yu Xiaopeng , Gao Ze 
Published: November 2021

Abstract
In the background of peak carbon emissions and carbon neutrality, renewable energy generation (REG) will become the main generation form in the future power system. Simultaneously, the randomness and volatility increase the reserve requirement in the different time scale. Increasing importance has been attached to energy storage in the aspect of reserve, as energy storage has the advantages of power flexibility and relatively low reserve cost. Trading off the benefits of energy storage in the energy market and the reserve market to maximize its benefits is of great significance to the economic operation and investment of energy storage. In this regard, taking the pumped storage power station (PSPS) as an example, this paper establishes an optimal decision-making model for PSPS to participate in the energy market and to provide reserve services. In addition, an optimal decision model for PSPS to provide multiple reserve services is established. The analysis finds that the power reserve capacity provided by PSPS at different time scales have little impact on each other, but their storage capacity requirements are mutually restricted. Case studies show that the total revenue of the PSPS is significantly increased through providing reserve service. The PSPS may even bid all its capacity to provide reserve service when the compensation price reserve reaches a certain level. In addition, the total revenue of PSPS when providing multiple time-scale reserves is higher than that when providing reserve service at single time scale.
Research on the Application of Renewable Energy in DC Data Center
Authors: Bai Xingyu 
Published: November 2021

Abstract
With the rapid development of the information technology industry, the demand for data centers is gradually expanding. As the foundation of carrying many information technology services, data centers have been built and put into use on a large scale. At the same time, the characteristics of huge energy consumption are more obvious. Due to the defects of low utilization rate, heavy pollution and limited reserves of traditional fossil fuels when supplying energy for data centers, the development of green renewable energy has become an inevitable demand. This paper studies the key technologies involved in supplying power to DC power supply data center with renewable energy, and makes a case to compare the DC power supply system and the AC power supply system. This paper also pays attention to the technology of energy storage in data center, and makes an analysis to prove the advantages of energy storage data center. In addition, this paper studies and summarizes the application of multi-station integration technology and other issues.
Energy Storage Planning of Park Energy System Based On Multi-Dimensional Digital Twin Technology
Authors: Xiong Tianlong , Yang Chao , Cheng Qing , Yang Xianlong , Lin Shu 
Published: November 2021

AbstractThe existing energy storage planning methods have the problem of imperfect equipment mathematical model, resulting in small installed capacity of renewable energy. An energy storage planning method of Park energy system based on multi-dimensional digital twin technology is designed. This article explains the basic connotation of multi-dimensional digital twin technology and park energy system, and obtains feedback information. Combined with the energy consumption of industrial users, the park’s electricity load is predicted. We used the multi-dimensional digital twin technology to construct the mathematical model of the equipment, extracted the energy conversion law, optimized the energy storage mode of the energy system, and achieved zero heat emission. Case analysis results: the average installed capacity of renewable energy after optimization is 2349.6 kW, 626.6 kW higher than that before optimization, indicating that the energy storage planning method integrating multi-dimensional digital twin technology has a broader application prospect.
Lithium battery loss model and economic optimal control strategy for secondary frequency regulation in power system
Authors: Zhang XiaoChi , Sha Xu , Zheng ZhiTong , Gong Jie , Li Yuan , Sun Kai 
Published: November 2021

Abstract
Lithium battery energy storage system (ESS) has fast response speed, but it is in service for a long time. Therefore, in the research of secondary frequency regulation, it is necessary to establish a battery model that can reflect the short-term polarization and estimate SOC accurately under long-term service. Therefore, we propose a method of variable parameter loss model of lithium battery suitable for secondary frequency modulation of power system and optimize its control strategy based on the relationship between the independent variable SOC and the internal electrical parameters of the battery. Firstly, we discretize the state equation of single cell to obtain the PNGV model with variable parameters. Then the SOC estimation method is improved by using the modified extended Kalman filter method. Finally, we did an analysis about the economy of the ESS participating in secondary frequency regulation by using the loss model, and the optimal control strategy is designed. The HPPC experiment of the ESS unit is designed by Simulink, and the accuracy of the simulation and experimental curves has been analyzed. Finally, the economic differences between the traditional control strategy and the optimal control strategy considering loss are compared. The results show that the error of the variable parameter model in the fitting experiment is no more than 0.41%, and the accuracy of SOC estimation is 12.96% higher than that of the traditional estimation. The economy of the optimized control strategy is 15.38% higher than that of the traditional control strategy.
Capacity configuration optimization and analysis for multi-energy complementary microgrid in hydropower station considering the renewable energy accommodation
Authors: Gao Yang , Liu Bin , He Jinyu , Zhang Kai , Liu Li , Jin Li , Ren Juguang 
Published: November 2021

Abstract
Aiming at the problems of large short-term fluctuation, strong randomness and difficulty to consume of renewable energy generation, it is an important way to integrate abundant wind and photovoltaic (PV) power into hydropower stations to promote the consumption of renewable energy sources (RES). A hydro-wind-PV and energy storage multi-energy complementary microgrid (MECM) model is proposed to meet the demand of load supply and RES consumption. Firstly, according to the characteristics of load and resource endowment, the MECM is established in a hydropower station. Secondly, according to the two different objectives of load self-sufficiency and RES consumption, the mathematical model for the capacity configuration optimization of MECM was proposed. Finally, combined with the practical case study, the effectiveness and practicability of this scheme are verified, and different configuration schemes are discussed based on different objectives.