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Lagrangian Modelling and Motion Stability of Synchronous Generator-based Power Systems

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CSEE Journal of Power and Energy Systems 2025年第1期11卷 13-23页

作者： Feng Ji Lu Gao Chang Lin state Key Laboratory of Advanced Transmission technology China Electric Power Research InstituteBeijing102209China

This paper proposes to analyze the motion stability of synchronous generator-based power systems using a Lagrangian model derived in the configuration space of generalized position and speed.A Lagrangian model of synchronous generators is derived based on Lagrangian *** generalized potential energy of inductors and the generalized kinetic energy of capacitors are *** mechanical and electrical dynamics can be modelled in a unified manner by constructing a Lagrangian *** the first benchmark model of sub-synchronous oscillation as an example,a Lagragian model is constructed,and a numerical solution of the model is obtained to validate the accuracy and effectiveness of the *** with the traditional EMTP model in PSCAD,the obtained Lagrangian model is able to accurately describe the electromagnetic transient process of the ***,the Lagrangian model is analytical,which enables the analysis of the motion stability of the system using Lyapunov's motion stability *** Lagrangian model can not only be used for discussing the power angle stability but also for analyzing the stability of node voltages and system *** provides the feasibility for studying the unified stability of power systems.

关键词： Lagrangian mechanics Lyapunov's first method motion stability sub-synchronous resonance

A Dynamic Prediction Approach for Wire Icing Thickness under Extreme Weather Conditions Based on WGAN-GP-RTabNet

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Computer Modeling in Engineering & sciences 2025年第2期142卷 2091-2109页

作者： Mingguan Zhao Xinsheng Dong Yang Yang Meng Li Hongxia Wang Shuyang Ma Rui Zhu Xiaojing Zhu High Voltage Equipment Research Institute State Grid Xinjiang Electric Power Co.Ltd.Electric Power Research InstituteUrumqi830013China Xinjiang Key Laboratory of Extreme Environment Operation and Detection technology of Power Transmission&Transformation Equipment Urumqi830013China College of Mathematics and Physics Shanghai University of Electric PowerShanghai201306China

Ice cover on transmission lines is a significant issue that affects the safe operation of the power *** calculation of the thickness of wire icing can effectively prevent economic losses caused by ice disasters and reduce the impact of power outages on ***,under extreme weather conditions,strong instantaneous wind can cause tension sensors to fail,resulting in significant errors in the calculation of icing thickness in traditional mechanics-based *** this paper,we propose a dynamic prediction model of wire icing thickness that can adapt to extreme weather *** model expands scarce raw data by the Wasserstein Generative Adversarial Network with Gradient Penalty(WGAN-GP)technique,records historical environmental information by a recurrent neural network,and evaluates the ice warning levels by a *** each time point,the model diagnoses whether the current sensor failure is due to icing or strong *** it is determined that the wire is covered with ice,the icing thickness will be calculated after the wind-induced tension is removed from the ice-wind coupling *** new model was evaluated using data from the power grid in an area with extreme *** results show that the proposed model has significant improvements in accuracy compared with traditional models.

关键词： Wire icing thickness instantaneous wind transmission lines WGAN-GP-RTabNet dynamic tension

Coordinated Service Restoration of Integrated Power and Gas Systems with Renewable Energy Sources

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Energy Engineering 2025年第3期122卷 1199-1220页

作者： Xincong Shi Yuze Ji Xinrui Wang Ruimin Tian Chao Zhang College of Electrical Engineering Zhejiang UniversityHangzhou310000China Power Dispatch and Control Center state grid Shanxi Electric Power CompanyTaiyuan030021China Planning Division of Power Dispatch and Control Center State Grid Jincheng Power Supply CompanyJincheng048000China

With the development of integrated power and gas distribution systems(IPGS)incorporating renewable energy sources(RESs),coordinating the restoration processes of the power distribution system(PS)and the gas distribution system(GS)by utilizing the benefits of RESs enhances service *** this context,this paper proposes a coordinated service restoration framework that considers the uncertainty in RESs and the bi-directional restoration interactions between the PS and ***,a coordinated service restoration model is developed considering the two systems’interdependency and the GS’s dynamic *** objective is to maximize the system resilience index while adhering to operational,dynamic,restoration logic,and interdependency constraints.A method for managing uncertainties in RES output is employed,and convexification techniques are applied to address the nonlinear constraints arising from the physical laws of the IPGS,thereby reducing solution *** a result,the service restoration optimization problem of the IPGS can be formulated as a computationally tractable mixed-integer second-order cone programming *** effectiveness and superiority of the proposed framework are demonstrated through numerical simulations conducted on the interdependent IEEE 13-bus PS and 9-node *** comparative results show that the proposed framework improves the system resilience index by at least 65.07%compared to traditional methods.

关键词： Service restoration renewable energy sources integrated energy systems extreme events convex optimization

Vector Extraction from Design Drawings for Intelligent 3D Modeling of Transmission Towers

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Computers, Materials & Continua 2025年第2期82卷 2813-2829页

作者： Ziqiang Tang Chao Han Hongwu Li Zhou Fan Ke Sun Yuntian Huang Yuhang Chen Chenxing Wang state grid Jiangsu Electric Power Co. Ltd.Construction BranchNanjing210011China School of Automation Southeast UniversityNanjing210096China

Accurate vector extraction from design drawings is required first to automatically create 3D models from pixel-level engineering design drawings. However, this task faces the challenges of complicated design shapes as well as cumbersome and cluttered annotations on drawings, which interfere with the vector extraction heavily. In this article, the transmission tower containing the most complex structure is taken as the research object, and a semantic segmentation network is constructed to first segment the shape masks from the pixel-level drawings. Preprocessing and postprocessing are also proposed to ensure the stability and accuracy of the shape mask segmentation. Then, based on the obtained shape masks, a vector extraction network guided by heatmaps is designed to extract structural vectors by fusing the features from node heatmap and skeleton heatmap, respectively. Compared with the state-of-the-art methods, experiment results illustrate that the proposed semantic segmentation method can effectively eliminate the interference of many elements on drawings to segment the shape masks effectively, meanwhile, the model trained by the proposed vector extraction network can accurately extract the vectors such as nodes and line connections, avoiding redundant vector detection. The proposed method lays a solid foundation for automatic 3D model reconstruction and contributes to technological advancements in relevant fields.

关键词： Design drawings semantic segmentation deep learning vector extraction digitization 3D modeling

XGBoost-Based Power grid Fault Prediction with Feature Enhancement: Application to Meteorology

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Computers, Materials & Continua 2025年第2期82卷 2893-2908页

作者： Kai Liu Meizhao Liu Ming Tang Chen Zhang Junwu Zhu state grid Jiangsu Electric Power Co. Ltd.Information&Telecommunication BranchNanjing210024China state grid Jiangsu Electric Power Co. Ltd.Information&Yangzhou Power Supply BranchYangzhou225000China School of Information Engineering Yangzhou UniversityYangzhou225127China

The prediction of power grid faults based on meteorological factors is of great significance to reduce economic losses caused by power grid faults. However, the existing methods fail to effectively extract key features and accurately predict fault types due to the complexity of meteorological factors and their nonlinear relationships. In response to these challenges, we propose the Feature-Enhanced XGBoost power grid fault prediction method (FE-XGBoost). Specifically, we first combine the gradient boosting decision tree and recursive feature elimination method to extract essential features from meteorological data. Then, we incorporate a piecewise linear chaotic map to enhance the optimization accuracy of the sparrow search algorithm. Finally, we construct an XGBoost-based model for the classification prediction of power grid meteorological faults and optimize the hyperparameters such as the optimal tree depth, optimal learning rate, and optimal number of iterations using an enhanced sparrow search algorithm. Experimental results demonstrate that our method outperforms the baseline models in predicting power grid faults accurately.

关键词： Meteorological factors gradient boosting decision tree sparrow search algorithm XGBoost

Comparison of AC breakdown characteristics on insulation paper (pressboard) immersed by three-element mixed insulation oil and mineral oil

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High Voltage 2020年第3期5卷 298-305页

作者： Dawei Feng Jian Hao Lijun Yang Ruijin Liao Xin Chen Jian Li state Key Laboratory of Power Transmission Equipment and System Security and New technology School of Electrical EngineeringChongqing UniversityChongqing 400044People's Republic of China

Insulation oil is an important dielectric in power devices,and many studies on mixed insulation oil have been conducted in recent years to improve the performance of insulation *** replace mineral oil directly,the authors previously developed a novel three-element mixed insulation oil successfully;the main parameters of which satisfy the IEC 60296-2012 standard for mineral *** the present study,the AC breakdown properties of insulation paper(pressboard)immersed by the new mixed oil and naphthenic mineral oil were *** both insulation oils,the increase in temperature cannot significantly reduce the breakdown strength of oil-immersed insulation paper(pressboard)at a low moisture content,and the increment of moisture content cannot reduce the breakdown voltage at a low temperature(25℃).The breakdown voltage decreases only when the two factors increase *** the mixed and mineral oils,the AC breakdown voltage of oilimmersed paper(pressboard)with different thicknesses has significant *** mineral oil has a high breakdown voltage for the thin insulation paper,whereas the mixed oil has a high breakdown voltage when the thickness of the insulation paper(pressboard)exceeds 0.2 *** phenomenon is mainly caused by the breakdown field strength that varies with the increase of dielectric thickness and the different change trends of paper(pressboard)immersed with the mixed and the mineral ***,the stack of thin multilayer insulation paper enables the mixed oil-immersed paper to have a higher breakdown strength than the mineral oil-immersed *** the AC breakdown voltage of oil-immersed pressboard with an oil-gap structure,the mixed oil is comprehensively superior to the mineral oil due to its larger relative permittivity.

关键词： insulation immersed breakdown

Robust Voltage Control Considering Uncertainties of Renewable Energies and Loads via Improved Generative Adversarial Network

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Journal of Modern Power Systems and Clean Energy 2020年第6期8卷 1104-1114页

作者： Qianyu Zhao Wenlong Liao Shouxiang Wang Jayakrishnan Radhakrishna Pillai the Key Laboratory of Smart grid of Ministry of Education and Tianjin Key Laboratory of Power System Simulation and Control Tianjin UniversityTianjinChina the Department of Energy technology Aalborg UniversityAalborgDenmark

The fluctuation of output power of renewable energies and loads brings challenges to the scheduling and operation of the distribution *** this paper,a robust voltage control model is proposed to cope with the uncertainties of renewable energies and loads based on an improved generative adversarial network(IGAN).Firstly,both real and predicted data are used to train the IGAN consisting of a discriminator and a *** noises sampled from the Gaussian distribution are fed to the generator to generate a large number of scenarios that are utilized for robust voltage control after scenario ***,a new improved wolf pack algorithm(IWPA)is presented to solve the formulated robust voltage control model,since the accuracy of the solutions obtained by traditional methods is *** simulation results show that the IGAN can accurately capture the probability distribution characteristics and dynamic nonlinear characteristics of renewable energies and loads,which makes the scenarios generated by IGAN more suitable for robust voltage control than those generated by traditional ***,IWPA has a better performance than traditional methods in terms of convergence speed,accuracy,and stability for robust voltage control.

关键词： Robust voltage control uncertainty generative adversarial network wolf pack algorithm

Side-Channel Analysis for the Authentication Protocols of CDMA Cellular Networks

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Journal of Computer science & technology 2019年第5期34卷 1079-1095页

作者： Chi Zhang Jun-Rong Liu Da-Wu Gu Wei-Jia Wang Xiang-Jun Lu Zheng Guo Hai-Ning Lu School of Electronic Information and Electrical Engineering Shanghai Jiao Tong UniversityShanghai 200240China ZhiXun Crypto Testing and Evaluation technology Co. Ltd.Shanghai 200240China Crypto Group Electrical Engineering DepartmentInstitute of Information and Communication Technologies Catholic University of LouvainLouvain-la-Neuve B-1348Belgium Shanghai Viewsource Information science and technology Co. LtdShanghai 200240China

Time-division multiple access (TDMA) and code-division multiple access (CDMA) are two technologies used in digital cellular networks. The authentication protocols of TDMA networks have been proven to be vulnerable to side-channel analysis (SCA), giving rise to a series of powerful SCA-based attacks against unprotected subscriber identity module (SIM) cards. CDMA networks have two authentication protocols, cellular authentication and voice encryption (CAVE) based authentication protocol and authentication and key agreement (AKA) based authentication protocol, which are used in different phases of the networks. However, there has been no SCA attack for these two protocols so far. In this paper, in order to figure out if the authentication protocols of CDMA networks are sufficiently secure against SCA, we investigate the two existing protocols and their cryptographic algorithms. We find the side-channel weaknesses of the two protocols when they are implemented on embedded systems. Based on these weaknesses, we propose specific attack strategies to recover their authentication keys for the two protocols, respectively. We verify our strategies on an 8-bit microcontroller and a real-world SIM card, showing that the authentication keys can be fully recovered within a few minutes with a limited number of power measurements. The successful experiments demonstrate the correctness and the effectiveness of our proposed strategies and prove that the unprotected implementations of the authentication protocols of CDMA networks cannot resist SCA.

关键词： authentication protocol cellular authentication and voice encryption (CAVE) code-division multiple access (CDMA) secure hash algorithm 1 (SHA-1) side-channel analysis

Circuit Model with Current Interruption for Hybrid High Voltage DC Circuit Breakers to Achieve Precise Current Experiments

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CSEE Journal of Power and Energy Systems 2022年第4期8卷 1250-1260页

作者： Zhonghao Dongye Lei Qi Bing Ji Xiaoguang Wei Xiang Cui state Key Laboratory of Altermate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijing 102206China School of Engineering University of LeicesterLE17RH LeicesterU.K state Key Laboratory of Advanced Power Transmission technology Global Energy Interconection Research Institute Co.Ld.Beijing 102209China

The current interruption test based on an LC resonance circuit for hybrid DC circuit breakers(HVDC CBs)is widely employed to characterize the current interruption capability of *** order to ensure a high-fidelity replica of the fault current in a high voltage application,this paper first proposes an equivalent model of the test circuit,where not only parasitic resistances but also the threshold voltages and on-state resistances of various semiconductor devices are ***,the analytical formula of the test current is derived by including the working principle of the HVDC ***,the parameter extraction method,which combines finite element analysis and measurements by an impedance analyzer,is given in this *** extracted result implies that,in current interruption transients,equivalent resistances of 500 kV CB are as large as 535 mS,which have a significant influence on current ***,the 34 kV/25 kA current interruption test for the 500 kV CB is *** measured results are proved to be consistent with the analytical results obtained from the proposed model,and the relative error is less than 2%.

关键词： Current interruption test high voltage DC circuit breaker