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Fluctuation Classification and Feature Factor Extraction to Forecast Very Short-Term Photovoltaic Output Powers

CSEE Journal of Power and Energy Systems 2025年第2期11卷 661-670页

作者： Mao Yang Xiaoxuan Shen Dawei Huang Xin Su Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of EducationNortheast Electric Power UniversityJilin 132012China

In recent years, a spurt of photovoltaic power generation has brought certain impact on stability of the power system, which puts forward higher requirements on accuracy of photovoltaic power prediction. Therefore, this paper proposes a hybrid power prediction model based on fluctuation classification and feature factor extraction. First, based on fluctuation characteristics of photovoltaic power, fluctuation classification is applied to forecast power before the day, and weather is divided into complex fluctuation types and simple types. Then, parallel factor algorithm is used to reduce prediction model redundancy, which can reduce high-dimensional numerical weather prediction feature matrix to extract relevant features. Finally, the Long Short-Term Memory (LSTM) deep learning model is used to forecast very short-term photovoltaic power. The proposed hybrid model is compared with other methods, and photovoltaic data from several sites are selected for comparison and validation in this paper. Simulation results show that very short-term prediction method of photovoltaic power proposed in this paper can significantly improve prediction accuracy.

关键词： Deep neural networks fluctuation classification PARAFAC photovoltaic generation very short-term forecasting

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A Study for Inter-Satellite Cooperative Computation Offloading in LEO Satellite Networks

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China Communications 2025年第2期22卷 12-25页

作者： Gang Yuanshuo Zhang Yuexia Wu Peng Zheng Hui Fan Guangteng Key Laboratory of Modern Measurement and Control Technology Ministry of EducationBeijing Information Science and Technology UniversityBeijing 102206China 2 National Innovation Institute of Defense Technology Academy of Military ScienceBeijing 100071China

Low Earth orbit(LEO)satellite networks have the advantages of low transmission delay and low deployment cost,playing an important role in providing reliable services to ground *** paper studies an efficient inter-satellite cooperative computation offloading(ICCO)algorithm for LEO satellite ***,an ICCO system model is constructed,which considers using neighboring satellites in the LEO satellite networks to collaboratively process tasks generated by ground user terminals,effectively improving resource utilization ***,the optimization objective of minimizing the system task computation offloading delay and energy consumption is established,which is decoupled into two *** terms of computational resource allocation,the convexity of the problem is proved through theoretical derivation,and the Lagrange multiplier method is used to obtain the optimal solution of computational *** deal with the task offloading decision,a dynamic sticky binary particle swarm optimization algorithm is designed to obtain the offloading decision by *** results show that the ICCO algorithm can effectively reduce the delay and energy consumption.

关键词： computation offloading inter-satellite co-operation LEO satellite networks

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DESIGN OF AN ELECTROMAGNETICALLY TUNED MASS DAMPER AND ITS EXPERIMENTAL STUDY ON VIBRATION REDUCTION FOR FLYWHEEL ROTOR SYSTEMS 10

DESIGN OF AN ELECTROMAGNETICALLY TUNED MASS DAMPER AND ITS E...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Nie, Haidu Tang, Changliang Mu, Mengliang Xu, Henglei Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100192 China

ISBN: (纸本)9781837242672

The trend towards higher speeds in flywheel energy storage systems is highlighting the need for improved bearing support. To overcome the limitations of traditional oil dampers, such as narrow damping range and insufficient damping, this study introduces an Electromagnetic Tuned Mass Damper (ETMD) designed for high-speed, low-inertia flywheel systems. Using Comsol finite element software, a model was created to optimize the damper's parameters. A comparative experiment was conducted between the newly designed ETMD and a conventional oil damper on vibration damping single point flexible support. The experimental findings indicate that a uniform arrangement of permanent magnets within the eddy current damper yields greater damping forces, with the damping coefficient significantly increasing at amplitudes beyond 0.2 mm, and notably effective in controlling low-frequency vibrations within the 75 Hz to 25 Hz range. Although the magnetic yoke is crucial, variations in its thickness minimally affect performance, and the optimal damping effect is achieved with a back iron thickness of 4mm, highlighting the existence of an ideal thickness for the back iron. Rotor experiments have demonstrated that eddy current dampers demonstrate enhanced vibration control with amplitudes of 49 urn, outperforming hydrodynamic dampers at 75 μm during acceleration and 71 μm during deceleration. © The Institution of Engineering & technology 2024.

关键词： Permanent magnets

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RESEARCH PROGRESS ON WIRELESS SENSOR NETWORKS FOR MECHANICAL VIBRATION MONITORING: A CITESPACE VISUALIZATION ANALYSIS APPROACH 10

RESEARCH PROGRESS ON WIRELESS SENSOR NETWORKS FOR MECHANICAL...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Zha, Zhendong Jiang, Zhanglei Li, Zihan Liu, Xiuli Wu, Guoxin The Ministry of Education Key Laboratory of Modern Measurement and Control Technology Beijing Information Science & Technology University Beijing100192 China

ISBN: (纸本)9781837242672

The application of wireless sensor networks (WSNs) in mechanical vibration monitoring is pivotal for achieving efficient monitoring within the realms of industrial automation and intelligent manufacturing, playing a significant role in the digital transformation and upgrading of China's manufacturing industry. This paper provides a comprehensive overview of the major technological advancements made by scholars and institutions globally over the past sixteen years in the domain of mechanical vibration monitoring using WSNs. Subsequently, employing CiteSpace for knowledge mapping and visualization, a multifaceted statistical analysis is conducted on over four hundred publications from both domestic and international sources. Through clustering analysis, keyword co-occurrence, and other analytical techniques, the paper delineates the multidimensional evolution of research hotspots and the dynamics of author collaboration networks over time. Building on this foundation, the paper delves into the cutting-edge trends of the field, emphasizing the critical importance of establishing efficient energy management systems and leveraging machine learning and artificial intelligence to process large-scale sensor data. These strategies are essential for optimizing system performance and propelling the development of WSNs towards miniaturization, integration, multifunctionality, systematization, and networking. The synergistic effects of these measures are anticipated to provide robust support for the intelligent upgrade of the manufacturing industry, fostering its progression towards greater efficiency and intelligence. © The Institution of Engineering & technology 2024.

关键词： Information management

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FAST DETECTION ALGORITHM BASED ON YOLOV8 WITH STRUCTURAL REPARAMETERISATION AND GROUPED CONVOLUTIONAL HEADS 10

FAST DETECTION ALGORITHM BASED ON YOLOV8 WITH STRUCTURAL REP...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Chen, Xuanyu Wu, Guoxin Zhang, Guolong Zhou, Linglong The Ministry of Education Key Laboratory of Modern Measurement and Control Technology Beijing Information Science & Technology University Beijing100192 China

ISBN: (纸本)9781837242672

As autonomous driving technology advances swiftly, the precise identification of road signs has become essential for enabling autonomous driving. This paper introduces an enhanced YOLOv8 model for road sign recognition. This model enhances the original C2f module by incorporating the RepViT Block, resulting in the C2f_RVB module. This alteration not only hastens the convergence rate of the model but also markedly boosts detection precision. Furthermore, we introduce a highly efficient architectural framework utilizing lightweight ViTs, which augments the model's detection speed while minimizing the parameter count. Lastly, we incorporate grouped convolution to enhance the detection head of YOLOv8. Tests were conducted utilizing the Street Sign Locator dataset, which was improved with information from the Roboflow stage. The exploratory comes about illustrate that the proposed RVB-YOLOv8 demonstrate accomplishes critical upgrades in discovery measurements like mAP and FLOPs when compared to the initial YOLOv8 demonstrate, whereas too diminishing the number of parameters by one-third. © The Institution of Engineering & technology 2024.

关键词： Convolution

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RESEARCH STATUS AND DYNAMIC ANALYSIS OF DAMPING AND VIBRATION REDUCTION technology OF ROTATING MACHINERY ROTOR SYSTEM 10

RESEARCH STATUS AND DYNAMIC ANALYSIS OF DAMPING AND VIBRATIO...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Xu, Jingwen Tang, Changliang He, Shaodong Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100192 China

ISBN: (纸本)9781837242672

Large rotating machinery in nuclear, power, and petrochemical industries employ multi-span flexible connections. As the rotor length-to-diameter ratio rises, rigid rotors become flexible, exceeding critical speeds and inducing resonance. This challenges supercritical technologies like damping, vibration reduction, balancing, and driving. In view of the vibration problems of flexible rotor systems with wide-band, multi-mode, and multi-criticality, this paper examines damping and vibration reduction. It highlights modern industrial rotating machinery's evolution, analyzes gyro effects, and critiques traditional damping designs like squeeze film dampers for their limited application range. The paper then delves into rotor vibration control, categorizing technologies as active or passive, and outlining principles, advantages, and disadvantages. Active technology offers precision but high costs;passive technology is cost-effective yet limited in effect and scope. Finally, the research and application status of damping and vibration reduction technology in aerospace, civil engineering, machinery, transportation, and other fields are analyzed, which provides a theoretical reference for vibration reduction and noise reduction technology of rotating machinery. © The Institution of Engineering & technology 2024.

关键词： Rotating machinery

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EXPERIMENTAL STUDY ON THE VIBRATION CHARACTERISTICS OF CONFLUENCE PLANETARY ROW IN HEALTH AND BROKEN TEETH FAILURE 10

EXPERIMENTAL STUDY ON THE VIBRATION CHARACTERISTICS OF CONFL...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Henglei, Xu Changliang, Tang Haoyan, Chen Shaodong, He Xuelian, Qu Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100192 China

ISBN: (纸本)9781837242672

As one of the core components to realize dual-power convergence in the transmission device, the confluence planetary row is characterized by large force and high rotational speed in the actual operation process, and its failure is easy to lead to the failure of straight driving and steering function of the crawler vehicle. The design and construction of the converging planetary row vibration test bench, with the planetary wheel broken teeth fault as an example, respectively, to carry out healthy and broken teeth fault confluence planetary row dynamics characteristics of experimental research, through different loads and different degree of broken teeth faults and other groups of tests, for the groups of experimental results of the data analysis of the time-frequency domain response characteristics of the planetary wheel broken teeth faults to get the characteristics of the vibration of the planetary wheel broken teeth faults, as a confluence planetary row failure identification and diagnosis to provide the basis. The vibration characteristics of planetary wheel broken teeth are obtained to provide a basis for the identification and diagnosis of confluence planetary row fault. © The Institution of Engineering & technology 2024.

关键词： Semantic Segmentation

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Optimization of the Internet of Remote Things Data Acquisition Based on Satellite UAV Integrated Network

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China Communications 2023年第7期20卷 15-28页

作者： Yuanyuan Yao Dengyang Dong Sai Huang Chunyu Pan Shuo Chen Xuehua Li Key Laboratory of Information and Communication Systems Ministry of Information IndustryBeijing Information Science and Technology UniversityBeijing 100101China Key Laboratory of Modern Measurement&Control Technology Ministry of EducationBeijing Information Science and Technology UniversityBeijing 100101China Key Laboratory of Universal Wireless Communications Ministry of EducationBeijing University of Posts and TelecommunicationsBeijing 100876China

In order to achieve dependable and efficient data acquisition and transmission in the Internet of Remote Things(IoRT),we investigate the optimization scheme of IoRT data acquisition under the unmanned aerial vehicle(UAV)-low earth orbit(LEO)satellite integrated space-air-ground network,in which the UAV acquires data from massive Internet of Things(IoT)devices in special *** combine with the actual scenario,we consider two different data types,that is,delay-sensitive data and delay-tolerant data,the transmission mode is accordingly divided into two *** delay-sensitive data,the data will be transmitted via the LEO satellite relay to the data center(DC)in *** delay-tolerant data,the UAV will store and carry the data until the acquisition is completed,and then return to *** to nonconvexity and complexity of the formulated problem,a multi-dimensional optimization Rate Demand based Joint Optimization(RDJO)algorithm is *** algorithm first uses successive convex approximation(SCA)technology to solve the non-convexity,and then based on the block coordinate descent(BCD)method,the data acquisition efficiency is maximized by jointly optimizing UAV deployment,the bandwidth allocation of IoRT devices,and the transmission power of the ***,the proposed RDJO algorithm is compared with the conventional *** consequences demonstrate that the efficiency of IoRT data acquisition can be greatly improved by multi-parameter optimization of the bandwidth allocation,UAV deployment and the transmission power.

关键词： Internet of Remote Things dataacquisi-tion unmanned aerial vehicle LEO satellite

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Reactive Power Optimization Model of Active Distribution Network with New Energy and Electric Vehicles

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Energy Engineering 2025年第3期122卷 985-1003页

作者： Chenxu Wang Jing Bian Rui Yuan Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control&Renewable Energy TechnologyMinistry of EducationJilin132011China

Considering the uncertainty of grid connection of electric vehicle charging stations and the uncertainty of new energy and residential electricity load,a spatio-temporal decoupling strategy of dynamic reactive power optimization based on clustering-local relaxation-correction is ***,the k-medoids clustering algorithm is used to divide the reduced power scene into ***,the discrete variables and continuous variables are optimized in the same period of ***,the number of input groups of parallel capacitor banks(CB)in multiple periods is fixed,and then the secondary static reactive power optimization correction is carried out by using the continuous reactive power output device based on the static reactive power compensation device(SVC),the new energy grid-connected inverter,and the electric vehicle charging *** to the characteristics of the model,a hybrid optimization algorithm with a cross-feedback mechanism is used to solve different types of variables,and an improved artificial hummingbird algorithm based on tent chaotic mapping and adaptive mutation is proposed to improve the solution *** simulation results show that the proposed decoupling strategy can obtain satisfactory optimization resultswhile strictly guaranteeing the dynamic constraints of discrete variables,and the hybrid algorithm can effectively solve the mixed integer nonlinear optimization problem.

关键词： Active distribution network new energy electric vehicles dynamic reactive power optimization kmedoids clustering hybrid optimization algorithm

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Analyzing the Coupling of PMSG control Parameters With Operation Conditions and Grid Strength: A Perspective on Subsynchronous Oscillations

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IEEE Transactions on Power Systems 2024年第4期40卷 2969-2982页

作者： Yan, Gangui Yang, Cheng Wang, Yupeng Yang, Dejian Mu, Gang Northeast Electric Power University Key Laboratory Of Modern Power System Simulation And Control & Renewable Energy Technology Ministry Of Education Jilin132012 China

Subsynchronous oscillation (SSO) in grid-connected permanent magnet synchronous generators (PMSG) arises from the combined effects of control parameters, operating conditions, and grid strength. Existing studies focus on the design of converter control parameters but overlook their adaptability to changes in operating conditions and grid strength. This oversight can lead to challenges in adapting fixed control parameters to varying conditions, potentially inducing SSO. This paper develops a multi-damping path model to analyze the SSO characteristics of grid-connected PMSG systems. It quantitatively evaluates how changes in operating conditions and grid strength affect the adaptability of control parameters and SSO damping. The study reveals the intricate coupling relationship between the feasible domain of control parameters under stability constraints and variations in grid strength and operating conditions. It confirms that in certain scenarios, a single set of control parameters may not meet the stability requirements across different operating conditions and grid strengths. The effectiveness of the proposed model and the theoretical analysis results are verified through simulations. The findings provide essential theoretical guidance for the adaptive adjustment of control parameters in grid-connected PMSG systems under various operating conditions and grid strengths. © 1969-2012 IEEE.

关键词： Damping

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