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IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA)

作者： Qiang Zhang Rongrong Zheng Ziyan Zhao Bo Chai Jiangui Li Artificial Intelligence on Electric Power System State Grid Corporation Joint Laboratory (GEIRI) Global Energy Interconnection Research Institute Co. Ltd Beijing China State Grid Information & Telecommunication Co. Ltd School of Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (数字)9781728160245

ISBN: (纸本)9781728160252

With the increasing number of power terminal devices in power systems, fault diagnosis based on textual fault data has become a challenging task. Classification technology plays an important role in power system fault diagnosis. In this paper, we propose a TextCNN based approach to multi-label text classification for analyzing fault text data of power terminal devices. First, the main category labels of faults and failure were constructed. The dataset was preprocessed for feature representation. Next, we adopted the TextCNN based model for multi-label classification of power fault texts. The experimental results show that the proposed method is better than the typical multi-label classification models for power fault text multi-label classification. The constructed label categories were also experimentally evaluated, and these labels reflect the main types of power faults and failure.

关键词： Text categorization Internet of Things Power system faults Feature extraction Fault diagnosis

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A Method for Multi-HVDC Grouping Based on Spectral Clustering

A Method for Multi-HVDC Grouping Based on Spectral Clusterin...

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IEEE/IAS Industrial and Commercial Power system Asia (I&CPS Asia)

作者： Xiaohui Wang Yu Bai Yadong Gao Dong Liu Yan Zhang Zhidong Wang Feng Gao Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China Zhejiang Huayun Electric Power Engineering Design & Consulting Co. Ltd Hangzhou China State Grid Corporation of China (SGCC) State Grid Economic and Technological Research Institute Co. Ltd Beijing China

ISBN: (数字)9781728143033

ISBN: (纸本)9781728143040

To satisfy the increasing power demands in load center, multiple HVDCs have been integrated into the receiving grid in China. The reality raises the coordination issues of HVDCs. A HVDC grouping method for optimizing the management of multiple HVDCs is proposed in this paper. Several kinds of relationship in coordination and complementarity between HVDCs are analyzed and quantified. Based on graph theory, HVDC grouping is transformed into a graph-cut problem and solved by spectral clustering algorithm. The proposed method is implemented on a practical multi-HVDC grid, and the results show its feasibility and effectiveness.

关键词： HVDC transmission Voltage control Reactive power Couplings Indexes Clustering algorithms Converters

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Decentralized Coordinated Precoding Design in Cell-Free Massive MIMO systems for URLLC

arXiv

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arXiv 2022年

作者： Shi, Enyu Zhang, Jing Zhang, Jiayi Ng, Derrick Wing Kwan Ai, Bo School of Electronic and Information Engineering Beijing Jiaotong University Beijing China Frontiers Science Center for Smart High-speed Railway System Beijing Jiaotong University Beijing China School of Electrical Engineering and Telecommunications University of New South Wales SydneyNSW Australia State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China

Cell-free massive multiple-input multiple-output (MIMO) is a promising network to offer huge improvement of the achievable rate compared with conventional cellular massive MIMO systems. However, the commonly adopted Shannon-type achievable rate is only valid in the long block length regime that is not applicable to the emerging short-packet communication. To realize ultra-reliable and low-latency communication (URLLC) in cell-free massive MIMO systems, we optimize the precoding vector at the access points (APs) to maximize the minimum user rate in both the centralized and decentralized fashion. The design takes into account the impact of URLLC and we propose path-following algorithms (PFA) to address the considered problem which generates a sequence of advanced feasible points and converges to at least a locally optimal solution of the design problem. Moreover, we investigate the requirement of the precoding schemes, the length of the transmission duration, the number of antennas equipped at each AP, and the size of each AP cluster on the URLLC rate. Numerical results show that the decentralized PFA precoding can achieve 80% of the 95%-likely URLLC rate of the centralized precoding and 89% of the average URLLC rate with only 12% computational complexity of the centralized precoding. Copyright © 2022, The Authors. All rights reserved.

关键词： Cells

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A Two-layer Adaptive control Strategy for Photovoltaic Power in Different Scenarios

A Two-layer Adaptive Control Strategy for Photovoltaic Power...

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Energy engineering and Power systems (EEPS), International Conference on

作者： Yanghui Wan Jiahao Yan Tianfeng Chu Yaping Li Kun Yuan Kaifeng Zhang Key Laboratory of Measurement and Control of Complex System of Engineering Ministry of Education Southeast University Nanjing China Power Automation Department China Electric Power Research Institute(Nanjing) Nanjing China Electric Power Research Institute State Grid Liaoning Electric Power Co. Ltd. Shenyang China

Currently, control strategies for distributed photovoltaic (PV) power generation are relatively single and rigid, and cannot flexibly adapt to the diverse demands of power grids in different scenarios. Firstly, this paper analyzes the adaptive relationship between different dispatching demands, the regulation ability of distributed PV, and the characteristics of the local voltage. Secondly, for different scenarios, the coordinated controller determines the reference values of active power and reactive power given to the inverter. Thus, distributed PV power control modes which can adapt to different scenarios have been established. Then, these control modes can be classified into single control modes and compound control modes according to the complexity of scenario demands. On this basis, a specific two-layer adaptive control strategy and process of distributed PV power generation in a low-voltage distribution network are further proposed, which takes into account both external demands of the distribution network and the regulation ability of distributed PV. Finally, a case study is given to verify the rationality and effectiveness of the two-layer adaptive scenarios control strategy. This strategy can effectively improve the comprehensive support ability of distributed PV power generation towards the power grid in multiple scenarios, and improve the stable operation level of the regional power grid.

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Conference Report: 30th Power and Energy Society Annual Conference

Conference Report: 30th Power and Energy Society Annual Conf...

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作者： Kubokawa, Junji Katsube, Koji Kimura, Hiroaki Sawa, Toshiyuki Kikuchi, Kenichi Kotari, Masashi School of Technology Hiroshima Institute of Technology 2-1-1 Miyake Saiki-ku Hiroshima731-5193 Japan Power Transmission and Distribution Company Chugoku Electric Power Co. Inc. 4-33 Komachi Naka-ku Hiroshima730-8701 Japan Control System Platform Division Hitachi Ltd. 6-27-18 Minamioi Shinagawa-ku Tokyo140-8572 Japan Electric Power Engineering Research Laboratory Central Research Institute of Electric Power Industry 2-6-1 Nagasaka Yokosuka240-0196 Japan

The 30th Power and Energy Society Annual Conference was held on September 3-6, 2019 at Itsukaichi Campus of Hiroshima Institute of Technology in Hiroshima, Japan. The total number of presented technical papers was 409 and that of technical sessions was 50 (49 oral sessions and one poster session). A panel discussion and a special lecture were also organized during the conference period. The seats of the most events held during the period were fully occupied with audiences, and the final enrollment attained to 1,118. The conference was successfully completed with the great contribution from all the participants. This report reports the outline of the conference. © 2020 The Institute of Electrical Engineers of Japan.

关键词： Energy resources

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A robust controller based on advance model-free adaptive method for linear motion systems

A robust controller based on advance model-free adaptive met...

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World Congress on Intelligent control and Automation (WCICA)

作者： Rongmin Cao Huixing Zhou Zhongsheng Hou Junru Wang Beijing Key Laboratory of High Dynamic Navigation Technology Beijing Information Science & Technology University Beijing China The school of engineering China Agricultural University Beijing China Advanced Control System Lab Beijing Jiaotong University Beijing China School of Automation Beijing Information Science & Technology University Beijing China

The proposed advance model-free adaptive control algorithm is able to regain the control performance when some undesirable situations occur in linear motion system. A case study is employed in the development which involves the control of a linear motor setup using two control algorithms: a nominal control algorithm based on PID tuned for high performance, and the robust accommodating control based on advanced model free adaptive control (AMFAC). Compared with PID control, AMFAC is more robust to disturbances such as vibrations for fast time-varying systems. Simulation results based on the model of a real linear motion system setup are provided to show the effectiveness of the approach.

关键词： Adaptation models Adaptive control Semiconductor process modeling control systems Robustness Educational institutions Real-time systems

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Deep-Learning Channel Estimation for IRS-Assisted Integrated Sensing and Communication system

arXiv

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arXiv 2024年

作者： Liu, Yu Al-Nahhal, Ibrahim Dobre, Octavia A. Wang, Fanggang The State Key Laboratory of Rail Traffic Control and Safety Frontiers Science Center for Smart High-Speed Railway System Beijing Jiaotong University Beijing100044 China The Faculty of Engineering and Applied Science Memorial University St. JohnsNLA1C 5S7 Canada

Integrated sensing and communication (ISAC), and intelligent reflecting surface (IRS) are envisioned as revolutionary technologies to enhance spectral and energy efficiencies for next wireless system generations. For the first time, this paper focuses on the channel estimation problem in an IRS-assisted ISAC system. This problem is challenging due to the lack of signal processing capacity in passive IRS, as well as the presence of mutual interference between sensing and communication (SAC) signals in ISAC systems. A three-stage approach is proposed to decouple the estimation problem into sub-ones, including the estimation of the direct SAC channels in the first stage, reflected communication channel in the second stage, and reflected sensing channel in the third stage. The proposed three-stage approach is based on a deep-learning framework, which involves two different convolutional neural network (CNN) architectures to estimate the channels at the full-duplex ISAC base station. Furthermore, two types of input-output pairs to train the CNNs are carefully designed, which affect the estimation performance under various signal-to-noise ratio conditions and system parameters. Simulation results validate the superiority of the proposed estimation approach compared to the least-squares baseline scheme, and its computational complexity is also analyzed. Copyright © 2024, The Authors. All rights reserved.

关键词： Channel estimation

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Dominant mode identification for low frequency oscillations of power systems based on Prony algorithm

Dominant mode identification for low frequency oscillations ...

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International Conference on Critical Infrastructures, CRIS

作者： Lan Ding Ancheng Xue Fukun Han Jin Li Maohai Wang Tianshu Bi Jinping Wang Key Laboratory of Power System Protection and Dynamic Security Monitoring and Control Ministry of Education School of Electrical and Electronic Engineering North China Electric Power University Beijing China North China Power Dispatching Center Beijing China North China Electric Power Research Institute Company Limited Beijing China

Once the power system low frequency oscillation occurs, the operators desire to find out the dominant mode LFO so as to take measures to suspend it. This paper proposes an identification method for dominant mode of LFO based on Prony algorithm in wide-area measurement system (WAMS). The presented method contains three steps, the first step is preprocessing of Prony analysis result, the second step is the dominant mode identification, and the third step is the grouping of different generators according individual generator's frequency and phase information. Among the dominant mode identification step, three indexes are proposed to select the dominant mode. The first one is the ratio of amplitude and damping ratio; the second one is mode energy and the third one is the amplitude of sinusoidal decay mode after a period of oscillation. The simulation results in a two-area-four-machine benchmark system and 10 generator 39-bus New England system by DSATools demonstrate that the proposed method has strong adaptability to noise, i.e., the method has good performance of identification.

关键词： Generators Oscillators Indexes Algorithm design and analysis Equations Damping Power systems

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Global Dynamics and Optimal Design of a New Highly Efficient Nonlinear Energy Sink Based on Magnetic-Elastic Impacts with Negative Stiffness

Research Square

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Research Square 2021年

作者： Li, Shuangbao Wang, Tingting Chen, Jianen Research Institute of Science and Technology Innovation Civil Aviation University of China Tianjin300300 China College of Science Civil Aviation University of China Tianjin300300 China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China

A new highly efficient elastic-impact bistable nonlinear energy sink (EI-BNES) based on magnetic-elastic impacts with negative stiffness and bistability is proposed and optimized through global dynamical analysis. The EI-BNES has better robustness and higher energy dissipation rates with nearly more than 96.5% for broadband impulsive excitations than the traditional cubic NESs and single bistable NESs. The structure of negative stiffness impacts is realized by reasonable layout of permanent ring magnets and springs. A two-degree-of-freedom (two-DOF) elastic-impact system is established to describe the coupled nonlinear interaction between the main structure and the attached EI-BNES. A global Melnikov reduction analysis (GMRA) is proposed to study global dynamics and homoclinic bifurcations of the reduced two-dimensional subsystem, which is used to explain the mechanism of nonlinear targeted energy transfer (TET) and detect the threshold of impulsive amplitudes of EI-BNES for in-well and compound motions between in-well and cross-well resonance responses. A special type of saddle-center equilibrium points is also found in the non-smooth system of the EI-BNES and can be used to effectively increase the energy dissipation rates. The optimal design criterion of the tuned EI-BNES for better dissipation performance is also first discussed based on the GMRA and numerical techniques for calculating the Melnikov function of the non-smooth systems. The effectiveness of the analytical GMRA is also verified by numerical simulations. © 2021, CC BY.

关键词： Stiffness

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Slewing control of Overhead Crane Based on State-enhance Coupling Method

Slewing Control of Overhead Crane Based on State-enhance Cou...

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第43届中国控制会议

作者： Rui Liu Biao Lu Jinyang Dong Weili Ding The 6th Research Institute of China Electronic Corporation Institute of Intelligence Technology and Robotic Systems Shenzhen Research Institute of Nankai University Engineering Research Center of Intelligent Control System and Intelligent Equipment Ministry of Education Yanshan University National Key Laboratory of Key Technologies for Lifting Machinery Yanshan University

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

Cranes which are frequently utilized as sizable machinery, are widely used across a range of settings, including warehouses, distribution hubs, harbors, steel plants, and manufacturing facilities. However, the current researches on cranes have paid insufficient attention to the rotation of loads during transportation. Additionally, some of the proposed control methods fail to effectively integrate information from both actuated DOFs(degrees of freedom) and unactuated DOFs, leading to a loss of controller robustness. In this paper, we establish an overhead crane model with a slewing mechanism, focusing on the analysis of crane's lifting and rotating motion. Based on that, a nonlinear controller is proposed for load slewing control. The stability of the controller is proven using Lyapunov techniques and LaSalle's invariance theorem. The effectiveness and robustness of the controller are validated through numerical simulations.

关键词： Load Rotation Nonlinear controller Robustness

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