bluuebunny/crossref_metadata_2025_split huggingface dataset:
Distributed Dispatching Optimization based on Consistency Theory for Smart Grid
Authors: Lyu Pengpeng , Bu Qiangsheng , Guo Ye , Luo Fei 
Published: July 2024

Abstract
The energy management issue of a smart grid is the key to the efficient and stable operation of a smart grid. Due to the large number of distributed energy sources connected, the centralized dispatch method is no longer applicable, and the smart grid uses distributed algorithms for dispatch. In this paper, based on modeling and analysis of the smart grid dispatch problem, the distributed dispatch algorithm is designed by combining the consistency theory in multi-intelligent body systems. First, the distributed scheduling algorithm is designed under ideal communication conditions. Then, the correctness of the algorithm is verified in the MATLAB simulation platform under two conditions without considering the generator set output constraint and considering the generator set output constraint. The analysis of the study simulation results shows that the optimal solution of the scheduling problem is obtained when the marginal costs of the generation equipment converge consistently.
Transformer Fault Diagnosis Based on Intelligent Algorithm and Partial Discharge
Authors: Gao Lingtao , Zhang Anan , Lei Wei 
Published: July 2024

Abstract
As an important part of power transmission and transformation equipment and power systems, transformers’ operating conditions will have a direct impact on the stability and reliability of the power system. In view of the problems of high diagnosis cost and low accuracy of diagnosis results in existing fault diagnosis technology, this paper uses the pulse current method to detect the pulse signal generated by the discharge model based on the partial discharge experimental platform data, analyzes and studies the discharge characteristics of different discharge defects, and draws For the partial discharge phase distribution (PRPD) spectrum of each defect type, the statistical characteristic parameters characterizing the characteristics of the spectrum were extracted. The partial discharge statistical characteristics were used as classification feature quantities and input into three network models: RBF, GRNN, and PSO-GRNN. The results show that PSO-GRNN has a good recognition effect and is suitable for partial discharge type identification. It has important practical significance and application value for the all-round health management of power transformers.
Deep Learning-based Detection of Bird’s Nests on Power Transmission Towers
Authors: Huang Qing , Tian Meng , Chen Ziyang 
Published: July 2024

Abstract
The problem of birds building nests on high-altitude towers has posed a significant hidden danger to the safe operation of long-distance transmission lines. The current manual inspection method is inefficient and costly, while automatic inspection technology still faces challenges in accuracy and efficiency. This article mainly aims to propose a deep learning target detection algorithm YOLOV3 based on convolutional neural networks to monitor and retrieve bird damage faults on power towers. By constructing a large dataset of bird nests on power towers, deep learning training models are used to extract features of the detection targets, and the YOLOV3 algorithm is used to intelligentially identify images with bird damage faults. Experiments show that YOLOV3 can effectively detect bird nests on power towers.
Research on Coordinated Control and Hierarchical Partition Control Strategy of Distributed Generation in New Power System
Authors: An Zhihao , Lv Shaoshuai , Yin Ning , Wang Zongli 
Published: July 2024

Abstract
In recent years, the structure of urban power systems has become more complex and the power flow is more changeable, which seriously hinders the optimal scheduling of urban power systems. Therefore, it is necessary to realize the coordinated control of distributed generation, flexible load, and reactive power equipment globally and locally, improve the utilization rate of distributed generation, give full play to the source and load of electric vehicles and energy storage devices, and realize the optimal scheduling of urban power system. This paper proposes a multi-time scale distributed power coordinated control and hierarchical partition control model, which realizes the coordinated optimal control of the new power system for distributed power, load, and energy storage. The effectiveness of the model in this paper is verified by IEEE33 node simulation.
Quality Assessment Method for Insulator Sample Bank Based on Sampling Theory
Authors: Wei Jie , He Xing , Yi Zhihan , Li Xizhe , Song Rui , Chen Jian 
Published: July 2024

Abstract
Insulator strings are important components in power systems to support and isolate transmission lines. Due to long-term exposure to the natural environment, insulator strings are susceptible to damage, such as self-explosion, broken umbrella skirts, and galvanic corrosion, which is one of the most common failures. Once damaged, it can lead to widespread power outage, which affects people’s life and industrial production, so it is necessary to inspect and replace the damaged insulator strings regularly. This thesis proposes a quadratic sampling based approach to assess the quality of insulator string sample banks. Through simple random sampling, estimation and interval estimation of the sample pool, the pass rate and average number of labels of the original sample pool are initially assessed and compared with the usage requirements to decide whether to carry out a second sampling or not; the second sampling used SADS as an evaluation metric to assess the performance of the insulator string sample bank.
Calculation of the Structure and Reaction Potential Barrier of the Decomposition Products of SF6/N2 Mixed Gases
Authors: Niu Jien , Wang Yongqi , Liu Gang , Chen Honggang , Niu Huanhuan , Fan Xinhong , Zhang Zhengyuan , Zhao Rui 
Published: July 2024

Abstract
The greenhouse effect caused by SF6 gas in the power system cannot be ignored, and N2 has enormous industrial potential to replace pure SF6 by mixing with SF6 due to its advantages of low environmental pollution, low price, and stable chemical performance. This article combines density functional theory (DFT) and transition state theory (TST) to calculate the molecular structure and vibrational frequency information of various reactants, products, and transition states involved in SF6/N2 gas mixtures containing water and oxygen. The single point energy of each component is calculated using the CCSD (T)/cc pvtz theory level, and all reaction barrier energies are obtained. The calculated molecular structure and vibration frequency results are in good agreement with the experimental data of NIST, proving the reliability of the calculation method in this paper. The difficulty of the reaction can be determined by obtaining all the reaction barrier energies. It was found that SF5 molecules are unstable and prone to decomposition. SF4 is very important in the SF6/N2 reaction system, and further decomposition will produce a large number of stable by-products. The calculation method in this article helps to deeply understand the decomposition reaction mechanism of SF6/N2 mixed gas, and is of great significance for the research of decomposition experiments.
Comparative Study on Multiple Methods for Partial Discharge Detection of Gap Defect in Medium Voltage Switchgear
Authors: Hao Xiwei , Zhang Bei , Liu Zehui , Li Xinqiao , Shi Xinyue , Han Xutao 
Published: July 2024

Abstract
The medium voltage switchgear is a key equipment in the distribution network of the power system, which directly faces users. Once a fault occurs, it will cause huge economic losses and adverse social impacts. Partial discharge measurement is an important means to ensure the safe operation of switchgear. The physical quantities measured by different partial discharge detection methods are different, so the detection effects by different methods for the same defect are also different. This paper takes the common internal air gap defects of solid insulation in switchgear as the research object, and conducts partial discharge detection tests on real switchgear equipment. At the same time, radio frequency method, ultrasonic method, transient earth voltage (TEV) method, and pulse current method are used to detect and analyze the partial discharge generated by the defect. The results show that the radio frequency method, TEV method, and pulse current method have good detection sensitivity for air gap defects, but the ultrasonic method cannot detect this type of defect. Comparing the amplitudes of the three electrical signals, it can be found that the correlation between the TEV method and the pulse current method is relatively high, while the correlation between the radio frequency method and the two is relatively low. As the applied voltage increases, the amplitude of the radio frequency method changes linearly, which can more sensitively reflect the degree of defect change.
A Research on Internationalization of Technical Standards in the New Electric Power Industry Based on a Decision-making Aiding Model
Authors: Zhang Guoshu , Yi Tingting , Wu Liyuan , Zhang Lei 
Published: July 2024

Abstract
The internationalization of technical standards is an important part of the implementation of power grid standardization strategy. In this paper, a decision-making aiding model used for study on the internationalization path of grid standards is built based on the research on the standardization of foreign power grids and the analysis of the current situation of internationalization of Chinese power grid standards. Finally, based on the findings obtained from the verification with the model above, the implementation strategy for the internationalization of new electric power industry standards is developed to provide suggestions for the internationalization development of China’s new electric power industry standards.
A Low-carbon Dispatching Method for Cascade Hydropower via HVDC Flexible Delivery
Authors: Wang Yutong , Zhao Chenyong , Jia Heping 
Published: July 2024

Abstract
As a country rich in hydropower resources, the transmission of Southwest hydropower through HVDC system can achieve a large range of optimal allocation of resources, but the traditional HVDC transmission plan is often operated in high and low binary value, which is difficult to give full play to the flexibility of HVDC transmission, and increase the carbon emission and operation cost of the power system. In order to fully explore the flexibility of HVDC transmission mode to reduce system carbon emissions, this paper builds a mixed integer programming model based on the scenario of hydropower being sent to the receiving system through the HVDC system, taking into account such factors as low operating costs and carbon dioxide emissions of thermal power units at the receiving end, overload capacity of the HVDC system, and reactive power compensation cost of the HVDC system. A low carbon scheduling method for cascade hydropower HVDC flexible delivery system is proposed. Finally, taking the cross-regional transmission system of cascade hydropower station as an example, the model proposed in this paper is compared with the high-low binary transmission of traditional HVDC system. The results show that the dispatch mode proposed in this paper and the flexible operation of the HVDC system can promote the consumption of new energy, reduce the CO2 emissions of the system and achieve the dispatch goal of both low carbon and economic operation.
A Method for Calculating the Adjustable Capacity of Feeder Load Aggregators Considering the User’s Wishes
Authors: Ye Qiang , Chen Wuxiao , Jiang Zhijun , Cai Yuqing , Si Tianfang 
Published: July 2024

Abstract
With the deepening of China’s energy reform, large-scale renewable energy access has put forward higher requirements for the flexible adjustment ability of the power system. The research and application of mining flexible and adjustable resources on the user side to participate in the peak regulation and frequency regulation of the power grid have received extensive attention. With the gradual opening of the power market and the deepening of the reform of the power system, the feeder load aggregator has gradually become a new role in the power market, and the feeder load aggregator plays an important role in the centralized management of users, the optimization of distribution, and the realization of market-oriented transactions. However, the research on the participation of feeder loads in the auxiliary services of power grid peak regulation and frequency regulation is not perfect. In this context, this paper proposes a method for calculating the adjustable capacity of feeder load aggregators considering the wishes of users, in which the maximum voltage adjustable at the feeder and the change of the capacity of each user caused by the feeder voltage regulation are calculated by the feeder load aggregator through the power flow relationship, and finally the adjustable capacity declaration for the ancillary service market is completed.
Flow Field Analysis on Critical Feedback Information for UAV Autonomous High Speed Descent in Power Line Scenario
Authors: Sun Jiawei , Zhou Xiang , Zhao Jiannan , Shuang Feng 
Published: July 2024

Abstract
To improve the UAV efficiency in power line inspection, it must autonomously and rapidly descend to a specific height to complete the charging or landing task. This task requires the UAV to contain a stable control loop to face the specific airflow during autonomous and rapid descent: the vortex ring problem, and this specific airflow will reduce the UAV controllability. To implement the UAV autonomous high-speed descent, a control method must provide feedback information on the affected airflow and output a stable rotational speed. Hence, this paper designs a UAV autonomous high-speed descent control loop and proposes a variable rotor speed method to solve the feedback information in the control loop. This method reveals the relationship between the air movement caused by the rotor rotation and the controllability of the UAV high-speed descent. Therefore, with this method, the UAV control loop can obtain stable feedback on the air movement and achieve autonomous high-speed descent. To solve the UAV feedback information, we built the model to calculate the rotor speed in the autonomous high-speed descent UAV control loop and verified it by the CFD. The verification results showed that the model could reflect the actual fly condition. The proposed method solves the problem of UAV autonomous high-speed descent feedback information, improving the work efficiency of UAVs in power line inspection operations.
Analysis of the Influence of Distributed Photovoltaic Access on the Operation Quality of Asymmetry Distribution Network
Authors: Gu Taiyu , Tian Ye , Zhu Yidong , Wang Zhibo , Li Haifeng , Shang Lei 
Published: July 2024

Abstract
Distributed photovoltaic(PV) power generation, as a highly flexible renewable energy source, is currently developing rapidly and has been widely used. However, due to its uncertainty and randomness, large-scale distributed photovoltaic integration into the distribution network will change the network power flow distribution, which will have a greater impact on the operation quality of the distribution network operation. In order to study the influence of distributed PV access on the operation of asymmetry distribution network, this paper builds a three-phase power flow model of distributed photovoltaic access to distribution network. Based on the IEEE33 node three-phase calculation example data, the impact of distributed photovoltaic access location and capacity on a series of operation indicators such as voltage deviation, three-phase unbalance and network loss under asymmetry operation of the distribution network is studied. Finally, for the asymmetry distribution network operating condition, guidance suggestions for distributed photovoltaic access based on operation quality are given.
High Power Density Buck Boost DC/DC Converter Using SIC MOSFET
Authors: Rana Zuraiz , Meng Runquan , Ali Kashif , Haseeb Rashid 
Published: July 2024

Abstract
High power density is an advance in power electronics. Third generation wide-bandgap semiconductor devices (WBG SICs) offer significantly improved performance compared to standard silicon devices. SIC MOSFET is commonly used in power electronic equipment such as converters due to its low resistance, excellent thermal stability, and rapid switching speed. Increasing the switching frequency effectively reduces the circuit size. This article uses SIC MOSFET and STM32 single-chip MCU to design a high power density and higher frequency buck boost converter and establish a simulation model in LTspice. The driving circuit designed for SIC MOSFET is intended to maximize the converter’s reliability. Synchronous rectification applies to enhance the converter efficiency. Compared to other types of converters, the size of the converter is reduced, achieving the goals of lightweight and high power density of DC/DC converters.
Classification of Multi-Source Partial Discharge in GIS
Authors: Liang Liang , Yu Liangliang , Jiapaer Aizezijiang , Ji Changwei , Shang Wenming 
Published: July 2024

Abstract
Partial discharge (PD) analysis is an important method to identify electrical equipment faults. However, due to the influence of environmental electromagnetic interference and other equipment discharges in the power supply circuit during the on-site PD test, the collected PD signal is the combination of various PD and noise, which makes it challenging to identify the type or source of on-site partial discharge. A multi-source PD classification method based on the multiple threshold and K-means clustering algorithm is pro-posed to solve this problem. First, wavelet transform with an improved threshold is used to initially denoise the original signal. Then the multiple threshold method is used to filter the residual ripple between every two pulses. Finally, spectrum analysis is carried out for each pulse, and the maximum value of the spectrum is extracted as the feature quantity. Then, the K-means algorithm is used to classify the PD pulses, and the PRPD images of PD pulses in different frequency domains are obtained. The results show that the method adopted in this paper can denoise, extract and classify the PD signals collected on the site, and the PRPD diagram of PD pulse after classification is more obvious, which provides a basis for identifying the PD source on the site.
Research on the optimal design of roadway support for fully mechanized coal seam working face
Authors: Liang Qiuhui , Zhang Baoliang 
Published: July 2024

Abstract
For the optimal design of surrounding rock deformation and support in the shallow buried coal seam of large-scale fully mechanized mining face, this paper took the surrounding rock of the roadway as the research object, used theoretical calculation and numerical simulation to establish the mechanical model of the deformation of the surrounding rock structure, and proposed and analyzed the reasonable roadway support scheme of the shallow buried coal seam. The numerical simulation results showed that the top anchor rod with Φ18×2200 mm and the inter-row distance of 1100×1000 mm, the anchor cable with Φ15.24×6300 mm and the inter-row spacing of 2200×2000 mm, the upper part anchor of Φ16×2200 mm, and the C30 concrete with a thickness of 200 mm for laying the bottom plate are selected, which was certified as the optimal support scheme. In practical engineering applications, the deformation of surrounding rock has been effectively controlled, and the supporting effect of surrounding rock was obvious, which was of great significance to ensure the safe production of coal mines.
Theoretical and experimental research of filtration efficiency and resistance of multi-fiber air-filter materials
Authors: Yu Yanzi , Zhang Cheng , Zhang Jiuzheng , Wu Yaohua , Deng Rui , Wu Yu , Cai Jinming 
Published: July 2024

Abstract
The filtration efficiency and resistance during the process of fluid flowing through filter materials is significantly influenced by the characteristic of filter materials, especially for air-filter materials which generally have a multi-fiber composite structure. Therefore, it is important to pay attention to the filtration efficiency and resistance of multi-fiber filter materials. In this study, theoretical equations of filtration efficiency and resistance were proposed based on uniform and multi-fiber composite filter materials, and series of experimental verifications had been implemented. The results indicated that the experimental results verified the theoretical equations well, which may accelerate the research and development of new air-filter materials.
Optimized design of silicone oil torsional damper for diesel generator
Authors: Qiu Zexu , Chen Rongchuang , Wu Changbin , Liu Dingbang , Gan Xingang 
Published: July 2024

Abstract
Due to the high cylinder pressure and high-performance requirements, the silicone oil damper of an inline six-cylinder diesel generator needs to be optimized to reduce the crankshaft stress. The centralized mass method was used to simplify the crankshaft system. A multi-body dynamic model was established, and the crankshaft stress and torsional vibration amplitude were simulated. The results show that the excessive shear stress at generator crank pin 5 is due to the resonance between the first-order intrinsic frequency of the shaft system and the 3rd harmonic torsional vibration. The shear stress was analyzed for different damper thicknesses and stiffnesses, and it was found that the shear stress at crank pin 5 was minimized when the damper thickness was 60 mm and the torsional stiffness was 250,000 N·m/rad. The torsional amplitudes at different speeds and frequencies were measured in the bench test, and the results were consistent with the calculations. The designed silicone oil torsional damper meets the requirements of the 2000-hour bench test.
Dynamic analysis of a hydraulic motor lifting auxiliary beam of monorail crane
Authors: Liu Y L , Lu J L , Chu L L , Yu C L 
Published: July 2024

Abstract
Monorail crane that is an important class of auxiliary transportation equipment in coal mine. It works on a single hanging track fixed above the coal mine roadway to transport materials, machines, people, etc. Lifting auxiliary beam is the main part of the lifting beam which is used to complete the lifting and transport operations. In the application process, the lifting auxiliary beam is bore many types of loads such as discontinuous loading, frequent starting and braking etc. It complicates the dynamic performance that directly affects the safety and the lifting operation stability. By using finite element method, a dynamic model of the lifting auxiliary beam is established to study the variation laws of dynamic load, frequency, amplitude, etc. Furthermore, three loading conditions are defined in the model. They are static loading, slow loading and fast loading, considering the lifting operation time. The numerical simulation results show that the maximum displacement of the fast loading condition is 20% to 23% higher than that under the static loading condition. Moreover, under the fast loading condition, the largest displacement amplitude occurs in the middle part of the lifting auxiliary beam and it decreases gradually towards the ends.