bluuebunny/crossref_metadata_2025_split huggingface dataset:
Time Interval Analysis on Calculation of Temperature Rise Rate of Lithium-ion Battery Thermal Runaway
Authors: Shi Xuewei , Dong Wenqi , Gao Fei , Guan Yibiao , Liu Jialiang , Yang Junfeng , Yang Tian , Liu Shiyang 
Published: May 2023

Abstract
The battery temperature rise rate is an important monitoring parameter to judge the safety state of the lithium-ion battery. However, there is little research on how to calculate the value of battery temperature rise rate, and there is a big difference in the temperature rise of battery calculated at different intervals, which affects the accurate judgment of the battery safety state. Therefore, in this paper, the temperature change of the battery surface during the thermal runaway process at the 0.5C rate is studied, four different temperature rise calculation intervals, such as 1s, 10s, 30s, and 60s, are set, and four different curves of temperature rise versus time of the battery are obtained. The value of the temperature rise inflection point before the thermal runaway of the battery obtained at different temperature rise calculation intervals is analyzed, and it is considered that the temperature rise data obtained at the temperature rise interval of the 30s under the experimental conditions set in this paper can be used as an effective monitoring parameter for the thermal runaway of the battery.
Research on collaborative control and optimization of energy storage units under the high proportion of wind power infiltration
Authors: Jiang Zhiwen , Li Donghui , Lu Guanming 
Published: May 2023

Abstract
With the growing maturity of technology and strong support for national policies, the proportion of new energy power generation systems represented by wind power in the power network is increasing. Under the high proportion of wind power penetration in the power network, the power generation burden of thermal power generation unit is greatly reduced, and the running costs of the electricity grid system can be reduced while obtaining environmental value benefits. However, the stochastic and uncertain output of wind power poses a challenge to grid dispatch under a high proportion of wind power penetration. The energy storage power system responds quickly and can provide certain heat reserves and virtual rotational inertia for the power network, and the wind power generation system can effectively smooth the wind power output and reduce the wind power curtailment rate. This paper proposes an optimal allocation method that takes into account the operating cost of the energy storage plant, the operating cost of the thermal power generation group, the cost of wind turbine abandonment, the branch capacity constraint and the standby capacity constraint. A four-unit 14-node model is built to simulate the cooperative control of energy storage under the penetration of a high proportion of wind power in summer and winter, and verified the effectiveness of the strategy.
Power system stability margin prediction based on gradient lifting decision tree
Authors: Jiang Jiang , Huang Minglei , Ling Huaming , Wang Dapeng 
Published: May 2023

Abstract
The voltage is unstable due to the influence of load demand and other factors. In order to ensure the stable operation of the power system, this paper proposes a method of power system stability margin prediction based on a gradient lifting decision tree. On this basis, the stable sampling of power grid is established by using data mining method and solved. On this basis, combined with the stability simulation curve of the power grid, the operation characteristics of the power grid are analyzed, and the stability of the power grid is analyzed using the CNN model and the gradient lifting decision tree. The proposed method has better prediction accuracy and efficiency of power system stability margin, and can improve reference for ensuring the stable operation.
Cause analysis of doubly-fed wind turbine faults
Authors: Zhang Xiuqi , Li Yong , Liu Yu 
Published: May 2023

AbstractDoubly-fed wind turbine is the mainstream model at present. This paper first introduces the working principle of a doubly-fed wind power generation system, counts the fault frequency and fault duration of a doubly-fed wind turbine, and makes an in-depth analysis of the fault data in the recent two years. Then it summarizes the fault components and fault types of doubly-fed wind turbines, and on this basis, analyzes the causes of the faults, which can be used as a reference for wind farms to formulate fault prevention schemes for doubly-fed wind turbines.
Operation and Maintenance Technology of Relay Protection Equipment Based on Digital Twin Technology
Authors: Tan Qian , Li Yiquan , Wang Feng , Wu Ziliang , Zhu Jia , Suo Jianglei , Liu Wei 
Published: May 2023

Abstract
With the scale of the power grid is becoming larger and larger. The corresponding operation and maintenance work of the distribution network is becoming increasingly intelligent, which also puts forward corresponding requirements for the reliability of safe and stable operation of the power grid. The condition assessment of relay protection applies the scientific concept of condition-based maintenance to the actual work site, which is of great significance. To judge the operation status of the equipment and provide a scientific basis for maintenance, in this paper, based on the application of digital twin technology in microgrid operation and maintenance, the method of calculating reliability probability density by function is applied to solve the problems of fuzziness, gray, and randomness of the relay protection status index. The invention can evaluate the state of the relay protection of the power system and can timely and accurately put forward the corresponding relay protection inspection and maintenance scheme, thereby improving the maintenance efficiency of the relay protection and further strengthening the power supply reliability of the power system. It can ensure the security and stability of the power system and reduce the reliable power consumption of the majority of power users.
Online Monitoring Method of Urban Cable Insulation Status Based on Grey-Markov Error Back-stepping Model
Authors: Luo Wei , Wang Jinfeng , Wei Cunliang , Li Xin , Yao Yao , Li Lingyong , Chen Fang , Li Zhihua , Luo Haibo 
Published: May 2023

Abstract
In order to monitor the resistance state of urban cables online and obtain the cable line insulation state accurately, an online monitoring method of urban cable insulation state based on the grey-Markov error back-stepping model is proposed, and an online monitoring system of urban cable insulation is designed. The insulation state of cables is calculated by combining the fuzzy membership function and evidence synthesis algorithm, and the grey theory is applied to predict the online monitoring data of the cable insulation state and calculate the relative error between the predicted value and the original data. Based on this relative error, a Markov error model is used to project the error between the gray predicted value and the original data at a certain time in the future, and an accurate prediction of the insulation status is obtained by back-stepping the error formula. The implementation path of online monitoring of the insulation status of urban cables is proposed using a high-performance embedded processor combined with the method proposed in this paper. The experimental findings suggest that the monitoring system can monitor the ground insulation resistance and equivalent capacitance of cable lines online, and the measurement error is within 3%.
Analysis of the Influence of Harmonics on Energy Efficiency of Typical Equipment in Distribution Network
Authors: Shen Zilun , Zheng Zhiyao , Fu Yu , Yin Zhongdong 
Published: May 2023

Abstract
With the continuous development of power systems, the number of non-linear loads is increasing. When harmonics flow through wires, transformers, filters, and other devices, additional harmonic losses will be generated, which will cause power loss and safety problems such as equipment overheating. However, there are few studies on loss in complex power quality environments. Considering the influence of skin effect when harmonics flow through the conductor, this paper studies the distribution of current density, explores the influence of conductor material, radius, and frequency of the current flowing through the metal on the current distribution, and proposes a calculation method of conductor harmonic resistance considering the influence of skin effect. Furthermore, the electrical energy consumption of typical devices in the distribution network is considered. Based on the theoretical calculation model, a simulation platform was established to carry out the equipment loss measurement experiment under each harmonic current, and the mutual verification between the theoretical calculation model and the experimental measurement was realized.
Research on the Construction Model of Hydrogen-Electric Integrated Energy Stations in Typical Climate Regions of China
Authors: Ren Jiayi , Li Yan , Wang Qingshan , Zhang Qun , Fan Zikai 
Published: May 2023

Abstract
The hydrogen-electric integrated energy station will play an important role in the new power system with renewable energy as the main body. This paper establishes an optimization model for the system configuration of a hydrogen-electricity integrated energy station, further explores the differences in optimal configuration and operation modes of different station construction modes with different basic conditions in different places, and discusses the reasons. The research shows that the economy of the grid-connected mode is the best, and the economy of the off-grid mode is the worst. The local electricity price policy, wind and solar resource endowment, and stability will significantly impact the integrated energy station. At the same time, in the regions where the wind and solar resources fluctuate greatly from month to month, hydrogen can play the role of long-term energy storage.
Grid Peak Load Shaving Method Considering EV Charging Uncertainty Based on Interval Optimization
Authors: Zhao Yuming , Wang Tao , Ma Mingyu , Zhao Wenmeng , Wang Qing , Mao Tian , Liu Zijun 
Published: May 2023

Abstract
With the rapid development of electric vehicles, more and more electric vehicles are entering people’s lives. However, the large-scale access of electric vehicles to the grid brings harm to the stability of grid operation, and the problem of how to guide the staggered charging of electric vehicles needs to be solved. In this paper, we consider the travel characteristics and charging characteristics of three different types of EVs: private cars, buses, and cabs, and set up a time-of-use tariff to guide EV users to charge reasonably, thus reducing the impact of charging load on the grid by cutting peaks and filling valleys. Since the charging load of EVs is an interval value, this paper introduces interval optimization theory, establishes an optimistic model and a pessimistic model, calculates the upper and lower bound of the interval respectively, and finds out the interval value of grid load after peak and valley reduction.
Development of Double Channel Transformer Voiceprint Detection System Based on MEMS Digital Silicon Microphone
Authors: Lv Xuebin , Xu Mingkai , Wang Siyuan , Wang Ning , Wang Shuying , Wang Wenyu , Jiang Mingshun , Zhang Faye 
Published: May 2023

Abstract
Aiming for on-line monitoring of typical mechanical faults of transformer, a two-channel MEMS digital silicon wheat voice print detection system is developed, which consists of two channel MEMS digital silicon wheat array, the host of sound acquisition system and the upper computer software with the function of displaying real-time waveform and spectrum analysis. The device can operate reliably in complex environments by adjusting the array spacing, improving the power quality, and adjusting the network protocol. Further, different test environments were built to test the resolution performance of the equipment to the center frequency of the sound source at different distances and angles of the sound source. The results show that the system can realize the resolution of the center frequency of different sound source distance and Angle, and still has a good center frequency resolution performance in the case of environmental noise. At the same time, the system has strong stability, environmental adaptability, easy installation and non-contact detection characteristics, can be used for real-time detection and diagnosis of transformer faults.
Optimization of Control Parameters for Grid-forming Energy Storage Systems Based on Sensitivity Analysis
Authors: Li Xu-dong , Li Hua , Sun Jin , Luo Lan 
Published: May 2023

Abstract
In recent years, the penetration rate of installed new energy generation has been increasing, the inertia of the system has been reduced, the damping has been weakened, and the anti-disturbance ability has been reduced, resulting in possible frequency oscillation of the system after disturbance, which brings potential problems to the safe and steady operation of power system. For this problem, a grid-forming control strategy of energy storage converter is proposed, based on virtual synchronization technology, to coordinate the parameter of virtual inertia and virtual damping. The simulation of a typical study case verifies the frequency control ability under different parameters and confirms the effectiveness of the parameter optimization.
Experimental study on enhancing heavy oil recovery by mobility control oil displacement agent
Authors: Zhang Yanyu , Teng Zhiyi , Ban Xiaochun , Sun Xiaofei , Luo Zhaowen , Wang Xiyan 
Published: May 2023

Abstract
The suitable concentration of mobility-controlled oil displacement agent was selected through laboratory experiments, and the development mechanism of mobility-controlled oil displacement agent in the water flooding process was studied. The results show that when the concentration of mobility control oil displacement agent is 0.15 %, the viscosity reduction effect is the best. Fluid injection pressure can be reduced by mobility controlled oil displacement agent. The mobility control oil displacement agent can improve the oil displacement efficiency, and the recovery rate of Tuha heavy oil is increased from 36.58 % to 65.13 %. The mobility control oil displacement agent has a strong effect of solubilization and viscosity reduction at low shear rate of the formation, and has a viscosity increase for water, so it can improve the development effect.
Power Performance Analysis of Large Capacity DC Electric Arc Furnace
Authors: Xia Zhehua 
Published: May 2023

Abstract
With the development of iron and steel smelting technology, the application proportion of DC electric arc furnaces will gradually increase in the future. In this paper, the Simulink model is built with reference to the 130-ton DC electric arc furnace produced by ABB ZHONG Shan Transformer Company Limited. In the model, the power performances of the large-capacity DC electric arc furnace are explored by adjusting the trigger angle, DC side arc resistance, and DC reactor values. From the result of the simulation, the power performances of the DC electric arc furnace are mainly affected by the rectifier trigger angle and DC side arc resistance.
Power Quality Problems of the Electrified Railway and Its Control Methods
Authors: Zong Ruixue 
Published: May 2023

Abstract
In developing the railway industry, the electrified railway plays a significant role in improving the national economy. However, the electric railway power supply system will be affected by power quality problems such as negative sequence, harmonic, and voltage fluctuation in actual operation, which will affect the operation efficiency of the electric railway power supply system. Therefore, it is meaningful to take economic and effectual governance measures against the power quality problems of electrified railways and reduce various indicators to the range allowed by a national standard. This paper summarizes and sorts out the main problems and their causes of current electrified railway power quality and several existing mainstream power quality governance schemes. It analyzes their advantages and disadvantages and finally looks forward to the directions that can be optimized and improved in the future study of electrified railway power quality problems in combination with social reality. It has a specific guiding effect on future research on electrified railway power quality.
Research on Human Behavior Feature Recognition and Intelligent Early Warning Methods in Safety Supervision Scene Video based on Yolov7
Authors: Cao Wanwan , Li Longyue , Gong Shuai , Dong Xiaoling 
Published: May 2023

Abstract
With the continuous improvement of infrastructure construction in China, the construction of various supporting power facilities is constantly followed up. A large number of ultra-high voltage or high-voltage power facilities, such as high-voltage transmission towers, transformers, or substations, are gradually emerging in populated areas, farmland, or fishponds where people still pass by sometimes. In such circumstances, people who do not have the qualification to contact power facilities at times approach, contact, or even climb these dangerous high-voltage transmission and distribution facilities illegally for various reasons, which not only poses a huge hidden peril or even threat to the safety of people’s lives and property but also cause a huge negative impact on the smooth operation of power infrastructure. To solve this intractable problem, this topic proposes a pedestrian detection and recognition algorithm, which can accurately distinguish between ordinary pedestrians and power grid maintenance inspectors based on YOLOv7, providing a reliable method for timely detection and early warning of pedestrians who may contact power facilities.
A Physical Topology Identification Method for Low-voltage Distribution Areas Meter Box
Authors: Wang Qiang , Mao Hao Fei , Luo Yu , Zhang Meng , Li Liang , Hong Qingbin 
Published: May 2023

Abstract
This paper put forward a method on the premise of not changing the hardware circuit of the HPLC communication unit of the online electrical meter. In the HPLC communication unit of the electrical meter, the electrical meter address is modulated to the electric-power line through a high-speed carrier signal by the method of on-off keying. In the intelligent molded case circuit breaker of the meter box, after the new-type instrument transformer is used to extract the signal, the optimization algorithm is adopted to extract the electrical meter address to achieve physical topology identification of the meter box, forming a physical topographic map of low-voltage distribution area at the meter box level, which has the characteristics of low cost and high identification rate. This method is particularly suitable for the situation where HPLC communication units have been used in large quantities. Based on the current meter box operating method, it can effectively achieve the physical topology identification for the low-voltage distribution area, improve the physical topology identification rate for the meter box and reduce the identification cost.
Analysis of Influence of Digitization Process on the Error Characteristics of FOCT
Authors: Li Binbin , Zhang Xiaohang , Huang Jie 
Published: May 2023

Abstract
All-fiber optical current transformers have a large dynamic range and fast response speed, which can meet the test requirements of complex electrical signals for a high proportion of new energy grid-connected operations. At present, the main problems are that the key components are easily affected by the complex environment of the substation, and the error stability is poor. In this paper, by analyzing the structure of all-fiber optical current transformers, the signal transmission process and closed-loop system model are established. Based on the method of numerical simulation, the influence of the digital conversion process and digital transmission process on the measurement accuracy of FOCT is analyzed, and the corresponding improvement strategy is proposed to improve the stability of the measurement error of all-fiber optical current transformers.
Research on Intelligent Frequency Regulation Capability Evaluation Technology for Coal-Fired Units Based on Autonomous Controllable PLC
Authors: Sun Yuanming , Zhang Tengyu , Zhao Xin , Sun Zhonghua , Nie Zhe 
Published: May 2023

Abstract
The generation frequency of grid-connected units determines the power supply reliability of the grid and primary frequency regulation, as the first guarantee to stabilize the grid frequency is affected by the category of generating units and operation mode and lacks systematic real-time optimization and monitoring means. This paper takes a 300MW sub-critical heating unit as the research object, and researches, and analyzes three aspects of signal homologation, multi-dimensional optimization, and intelligent decision-making to establish the evaluation model of the primary frequency regulation capability of the unit. The evaluation accuracy of the assessment model reaches 83%, develops the control platform based on autonomous controllable PLC, realizes intelligent dynamic control and the replacement of traditional optimization technology means, also improves the qualification rate of primary frequency regulation by about 23.2%.
Simulation of Influence of Load Model and Parameters on Frequency and Voltage Stability of Yunnan Power Grid
Authors: Deng Han , Wu Shuijun , Yue Qing , Sun Shiyun , Zhou Zichao , Xu Tao , Zhu Bo 
Published: May 2023

Abstract
After fully asynchronous networking with Yunnan Power Grid and China Southern Power Grid, a multi-DC sending-end grid with a relatively weak grid structure and low load level, has prominent frequency and voltage stability, which makes Yunnan Power Grid have complex security and stability problems. Therefore, beginning with the load model and its variable, in this study, the effects of four static load models and four dynamic load models are compared with regard to the frequency and voltage stability of the Yunnan power grid’s asynchronous interconnection system. It simulates and analyzes how load model parameters affect the frequency and voltage stability of the transmitting end power grid of the asynchronous interconnection system while Puqiao DC is experiencing unipolar and bipolar blocking faults.
Research on Insulator Defect Detection System Based on Edge Intelligence
Authors: Hu Xuekai , Luo Peng , Wang Wenrui , Jiang Yi , Zhou Xueqing 
Published: May 2023

Abstract
The paper aims at the problems of the high occupancy rate of communication resources and heavy server load caused by the image data taken during the inspection of the substation and sent to the remote server for processing. An edge intelligent inspection data processing architecture is constructed, and an insulator defect detection model based on transfer learning and YOLO v5 is proposed. The model can meet the training of a small sample network model in the case of scarcity of power equipment defect data. The proposed algorithm is compared with typical target detection algorithms, and the experimental results show that the proposed algorithm has an excellent performance in model recognition accuracy and recall rate. The trained insulator defect detection model is further deployed on the developed edge intelligent terminal for testing, and its image processing speed can meet the image processing requirements for intelligent inspection of substations. The system has good application value.