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Modified Hough Transform Based Registration Method for Heavy-haul Railway Rail Profile with Intensive Environmental Noise

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IEEE Transactions on Instrumentation and Measurement 2025年 74卷

作者： An, Yuntong Cao, Yuan Sun, Yongkui Su, Shuai Wang, Feng Beijing Jiaotong University National Engineering Research Center of Rail Transportation Operation Control System School of Automation and Intelligent Beijing100044 China Beijing Jiaotong University Frontiers Science Center for Smart High-speed Railway System Beijing100044 China Beijing Jiaotong University State Key Laboratory of Advanced Rail Autonomous Operation Beijing100044 China

In heavy-haul railway inspections, accurate rail profile registration is essential for assessing wear and deformation of tracks. In this process, identifying the rail waist arc as key segments and determining the center of the arc as feature points are crucial steps for rough rail profile registration, often affected by noise from sensors, surface contaminants, and environmental factors. To address these challenges, a profile registration method is proposed, with the Modified Hough Transform (MHT) as a core component. The method first segments key profile sections using curvature thresholds to identify arc segments. For each point in these segments, MHT constructs circles with fixed radius and calculates their intersection points. A distance matrix based on Euclidean distances between intersection points is generated. By sorting and normalizing these distances, the method identifies local density variations and calculates density coefficients to find the circle center, without manual thresholding. Comparative experiments on simulated and field data show that the proposed method achieves high accuracy and robustness in noisy environments. The dual validation confirms its reliability, making this method effective for rail profile registration in heavy-haul railway inspections. © 1963-2012 IEEE.

关键词： Hough transforms

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Impedance Network Modeling of GFL and GFM Converters system Considering AC/DC Couplings

Impedance Network Modeling of GFL and GFM Converters System ...

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IEEE International Conference on Power and Power and Renewable Energy (ICPRE)

作者： Kun Zheng Chao Luo Zhiyuan Sun Yihua Zhu Jiawei Yu Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Guangxi Power Grid Electric Power Research Institute China Southern Power Grid Nanning China State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid National Energy Power Grid Technology R&D Centre Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guang zhou China

ISBN: (数字)9798350377460

ISBN: (纸本)9798350377477

With the rapid development of grid-forming (GFM) control technology, integrating GFM control into grid-following (GFL) control-dominated systems has been attached with great importance due to the enhancement of grid supporting capability. To keep the normal operation of such GFL/GFM hybrid system, its small-signal stability needs to be studied, while the current research mainly focuses on the GFL/GFM converters' ac-side dynamics and usually ignore their ac/dc couplings. Therefore, this paper proposes an impedance network modeling method for GFL/GFM multi-converters system, and then a nodal admittance matrix retaining both ac and dc nodes is obtained. With such model, system marginal unstable condition can be accurately determined. Further, the influence of the capacity ratio between GFL and GFM converter is discussed. Simulation results of a typical GFL/GFM hybrid system verify the theoretical analysis.

关键词： Couplings Renewable energy sources Grid following Simulation Power system stability Stability analysis Admittance Impedance Matrix converters Grid forming

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Preventive Control Methods for Power systems Based on Improved Deep Reinforcement Learning

Preventive Control Methods for Power Systems Based on Improv...

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International Conference on Power and Energy Technology (ICPET)

作者： Jie Zhang Yihua Zhu Zhuohang Liang Qingqing Zhang Qinfeng Ma Mingshun Liu Su An Jiang Dai State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou China Operation and Control for New Energy Power System Guangdong Provincial Key Laboratory of Intelligent Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China Power Dispatching and Control Center of Guizhou Power Grid Co. Ltd. Guiyang China

ISBN: (数字)9798350375855

ISBN: (纸本)9798350375862

Convergence speed, accuracy, generalization and decision transparency are very important indices for transient stability preventive control generation methods based on AI. This paper proposes a transient stability preventive control generation method based on graph deep reinforcement learning and its interpretation method using mutual information optimization. Firstly, a transient stability preventive control generation model is built based on the framework of deep reinforcement learning algorithm. The grid domain buses are mapped to the graph domain nodes and the grid graph data samples are generated. The graph convolutional neural network via initial residual and identity mapping (GCNII) is used to build the action network and the evaluation network. Secondly, based on the GCNII network, a transient stability assessment model is built and pre-trained, and graph data samples containing varies of topological structures and power flow states are applied to train the model. Then the interpretation method based on mutual information optimization is used to analyze the decision-making basis of the transient stability assessment model. The dominant factor affecting the transient instability of power system is extracted and its contribution degree is quantified, and the abduction analysis of transient stability is realized. Finally, the pre-trained transient stability assessment model is embedded in the deep reinforcement learning framework as a guide, and the power flow adjustment method is used to preferentially correct the weak factors and their influencing factors so that the transient stability prevention control strategies are obtained. The feasibility and effectiveness of the proposed method are verified in the IEEE-39 node test system.

关键词： Prevention and mitigation Stability criteria Decision making Power system stability Deep reinforcement learning Data models Transient analysis Optimization Mutual information Load flow

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Research and Implementation of Model Engineering Environment Integration Based on OpenMBEE 1

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21st Asia Simulation Conference, AsiaSim 2022

作者： Xue, Junjie Zhou, Junhua Shi, Guoqiang Feng, Chaoqun Xu, Lin Liu, Penghua Quan, Hongyan Engineering Research Center Beijing Simulation Center Beijing100854 China State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Beijing100854 China Science and Technology on Space System Simulation Laboratory Beijing Simulation Center Beijing100854 China Yunnan Chensheng Tendering Consulting Co. Ltd. Kuming650102 China School of Computer Science and Technology East China Normal University Shanghai200062 China

ISBN: (数字)9789811991981

ISBN: (纸本)9789811991974

Aiming at the problem of integrating open tools in a user development environment in complex product design, an integration strategy of model engineering environment based on OpenMBEE is studied. It is based on the technologies of user identity unified authentication and user interaction data collaboration. Specifically, in the solution of unified identity authentication on cross-platform, the extended controller method is provided based on the message queue information flow mechanism. Then, the separation of business logic, data information, and interactive view of user unified authentication are realized, on the basis, that the function of unified identity authentication is realized by using the Software Development Kit (SDK) of OpenMBEE. Besides, in the study of user interaction data collaboration technology, three-layer collaboration mechanisms are proposed, they are the presentation layer collaboration, the business layer collaboration, and the persistence layer collaboration. When the jQuery programming framework is integrated into the bootstrap front-end framework, combing with the OpenMBEE back-end server interface, the collaboration of user interaction data is realized. Through experiments and project practice analysis, the user unified authentication strategy and user interactive collaboration strategy are tested respectively for proving the effectiveness and feasibility of the proposed method. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Authentication

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An Origami-Based Miniature Jumping Robot with Adjustable Jumping Trajectory and Enhanced Intermittent Jumps

An Origami-Based Miniature Jumping Robot with Adjustable Jum...

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IEEE/RSJ International Conference on intelligent Robots and systems (IROS)

作者： Zhipeng Xiong Lingqi Tang Longlong Hu Songlin Yang Xiaojun Yang Yao Li Bing Li School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen China Guangdong Key Laboratory of Intelligent Morphing Mechanisms and Adaptive Robotics Harbin Institute of Technology Shenzhen China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China

A small-scale jumping robot can reach obstacles much larger than its size. It is important for a jumping robot to perform intermittent jumps to cross through rough terrains. However, the limitations of conventional structures hinder the further integration of functions to a miniature (sub-50 g) jumping robot. No sub-50 g jumpers could perform intermittent jumps with adjustable jumping trajectories. In this work, we proposed an origami-based miniature jumper, which performed intermittent jumps with adjustable omni-directional trajectories. The intermittent jumps were achieved by the jumping and self-righting mechanisms, which were actuated by a single motor. The clockwise and counterclockwise rotation of the motor actuated the loading, self-righting and triggering process, respectively. The jumping height was adjustable by adjusting the rotation angle of the motor. Meanwhile, the take-off pitch & yaw angle adjustment methods were integrated into the robot. Therefore, we demonstrated a 9 cm, 13.5 g prototype with functions of re-loading, self-righting, jumping height adjustment and take-off pitch & yaw angle adjustment. The robot could adjust jumping height from 16 to 34 cm and self-right for the next jump. The results revealed that our robot could jump across different obstacles with different scales and directions. The mobility was greatly increased compared with other miniature jumping robots.

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Several classes of linear codes with few weights derived from Weil sums

arXiv

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arXiv 2025年

作者： Hu, Zhao Qiu, Mingxiu Li, Nian Tang, Xiaohu Wu, Liwei Key Laboratory of Intelligent Sensing System and Security Hubei University Ministry of Education Hubei Provincial Engineering Research Center of Intelligent Connected Vehicle Network Security School of Cyber Science and Technology Hubei University Wuhan430062 China State Key Laboratory of Integrated Service Networks Xi’an710071 China Hubei Key Laboratory of Applied Mathematics Faculty of Mathematics and Statistics Hubei University Wuhan430062 China Southwest Jiaotong University Chengdu610031 China Wuhan Maritime Communication Research Institute China

Linear codes with few weights have applications in secret sharing, authentication codes, association schemes and strongly regular graphs. In this paper, several classes of t-weight linear codes over Fq are presented with the defining sets given by the intersection, difference and union of two certain sets, where t = 3, 4, 5, 6 and q is an odd prime power. By using Weil sums and Gauss sums, the parameters and weight distributions of these codes are determined completely. Moreover, three classes of optimal codes meeting the Griesmer bound are obtained, and computer experiments show that many (almost) optimal codes can be derived from our constructions. Copyright © 2025, The Authors. All rights reserved.

关键词： Weibull distribution

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Modelling and Analysis of Damping Characteristics of Grid Following Converter

Modelling and Analysis of Damping Characteristics of Grid Fo...

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2022 IEEE Power and Energy Society General Meeting, PESGM 2022

作者： Shen, Qian Li, Guanqun Ye, Hua Xie, Yongsheng Chen, Junru State Grid Jinan Power Supply Company Jinan250012 China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan250061 China State Grid Xinjiang Electric Power Co. Ltd Urumqi830002 China Xinjiang University Urumqi830046 China

ISBN: (数字)9781665408233

ISBN: (纸本)9781665408233

The synchronization instability is one of the main issues for the operation of grid-following converter (GFL). Analogizing to the synchronous generator mechanism, GFL synchronism can be modelled in the form of swing equation. Thus, under the assumption that the damping is negligible, the equal area criterion (EAC) method is used to determine the GFL synchronization stability. However, in practice the damping is significant and inconstant during the transients. Sometimes, the damping becomes negative during the transients even is positive in the pre-fault, and resulting in the instability. The effect of the damping on the synchronization stability has not been thoroughly investigated. This paper visually reveals this effect. The simulation results show that the negative damping of GFL may lead to an optimistic prediction of synchronization stability by EAC method. © 2022 IEEE.

关键词： Damping

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Wind and PV Power Ramp Events Prediction Based on Long Short-Term Memory Network

Wind and PV Power Ramp Events Prediction Based on Long Short...

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Sustainable Power and Energy Conference (iSPEC)

作者： Zengwei Wang Zhendong Li Yutian Liu Huan Ma Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China. State Grid Shandong Electric Power Research Institute Jinan China.

With the increasing penetration rate of renewable generation, the challenges arising from its randomness and intermittent nature are becoming more pronounced. In particular, wind and photovoltaic power ramp events pose a serious threat to the secure and stable operation of power systems, and even lead to frequency instability and load shedding. Based on the long short-term memory neural networks (LSTM), this paper proposes a novel renewable power ramp events (RPREs) forecasting approach. First, filter the key tie-lines. Second, the LSTM network was driven by the known time series of wind, PV, load, and tie-line power to forecast the tie-line power for the next hour, thereby determining the adjustable capacity of the tie-line. Finally, the regulatory capability of the grid is considered to judge the occurrence of a power ramping event. Case study demonstrates that the proposed method can effectively predict power ramping events and meets the requirements of online assessment.

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Energy Storage Configuration Method for Distribution Network Resilience Enhancement Using Two-Stage Game Optimization

Energy Storage Configuration Method for Distribution Network...

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IEEE International Conference on Power and Power and Renewable Energy (ICPRE)

作者： Shuai Liu Yuwen Li Heng Zhou Kuan Cao Yutian Liu Development Planning Department State Grid Weihai Power Supply Company Weihai China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

In order to cope with the impact of extreme weather on distribution network, a two-stage multi-objective game optimization-based method of energy storage configuration for distribution network resilience enhancement is proposed in this paper. First, typical scenarios are generated based on N-k contingency as well as distributed photovoltaic (DPV) output characteristics, and evaluation indexes of resilience and economy are established. Then a two-stage multi-objective optimal configuration model is proposed, considering the operating state and resilience demand of distribution network before and after the power supply transfer. Finally, the model is solved by multi-objective particle swarm (MOPSO) and Nash game. Simulation results on the modified IEEE33-node model demonstrate that the proposed method can achieve good equilibrium solution between resilience and economy.

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Energy Storage Sizing for IES Considering Carbon Trading and Demand Response

Energy Storage Sizing for IES Considering Carbon Trading and...

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IEEE International Conference on Power and Energy Applications (ICPEA)

作者： Lipeng Zhang Kuan Cao Yuwen Li Jie Gao Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China Development Planning Department State Grid Weihai Power Supply Company Weihai China

An optimal energy storage sizing method for integrated energy system (IES) considering carbon trading and demand response is presented in this paper. Firstly, to effectively limit carbon emissions, a reward-penalty laddered carbon trading model is designed to convert carbon emissions into system costs or revenues. Secondly, the integrated demand response (IDR) model for electrical-cold-heat loads is established based on time-of-use price to enhance the operational flexibility and economy. Then, based on these two sub-models, an optimal energy storage sizing model is built to minimize the total life cycle cost including investment, operation and carbon trading cost. Finally, the simulation results indicate that a successful balance between low-carbon and economy can be achieved by the proposed method.

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