检索结果-内蒙古大学图书馆

2022 International Conference on Electrical engineering and Sustainable Technologies, ICEEST 2022

作者： Khan, Muhammad Ahmad Zain Yousaf, Muhammad Raza, Ali Tahir, Muhammad Faizan Ali, Mazhar Qadeer, Abdul Tianjin University School of Electrical and Information Engineering Tianjin China Hubei University of Automotive Technology School of Electrical and Information Engineering Shiyan China University of Engineering and Technology Department of Electrical Engineering Lahore Pakistan South China University of Technology School of Electric Power Guangzhou China Tianjin University School of Electrical and Electronic Information Control Engineering Tianjin China Wuhan University School of Electrical Engineering and Automation Wuhan China

ISBN: (纸本)9781665462099

Energy is essential for a country's economic sector to be stable and prospering, but unfortunately, Pakistan's energy crisis is the country's biggest roadblock to increasing its economy. Industries need a constant supply;even minor supply delays can cost businesses millions of dollars. The primary reason for load shedding in Pakistan is the country's reliance on costly fossil fuels, whose prices are volatile and continue to increase. Pakistan has great potential for Renewable Energy Sources (RESs) such as wind, solar, micro-hydro/canal fall, biomass, biogas, tidal/ocean, geothermal, and biodiesel. This study aims to contribute to ongoing research on hybrid grid-connected systems by highlighting the optimal modeling and sizing and considering numerous techno-economic aspects such as system stability, capacity shortage constraint, Battery State of Charge (SoC), Photovoltaic (PV) power production, Net Present Cost (NPC), and PV array monitoring systems. The Hybrid Optimization Model for Electric Renewables (HOMER) software is used to analyze the six different scenarios employing the techno-economic factors, sensitivity analysis, and environmental consequences. The proposed system shows a significant decrease in energy costs and environmental emissions. © 2022 IEEE.

关键词： Sensitivity analysis

来源：评论

学校读者我要写书评

暂无评论

OLMNE+FT: Multiplex network embedding based on overlapping links

引用

Physica A: Statistical Mechanics and its Applications 2022年 596卷 127116-127116页

作者： Liang, Bo Wang, Lin Wang, Xiaofan Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Shanghai Key Laboratory of Power Station Automation Technology School of Mechatronic Engineering and Automation Shanghai University Shanghai China

Network embedding or graph representation learning has recently attracted more researchers’ attention and achieved state-of-the-art performance in many areas and tasks. Nevertheless, most of these methods are targeted for monolayer networks and ignore the multiplexity property of nodes which refers to the multifaceted relationships between two elements. Multiplexity provides multiple types of auxiliary information to refine the characteristics of nodes and can be modeled as a multiplex network. In this study, we propose a multiplex network embedding algorithm to learn a unique embedding for each node in each layer or each relation type. A biased path-dependency random walk strategy is adopted to generate node sequences for integrating different types of relations between nodes, which pays more attention to overlapping links and makes neighbor nodes in the sampling sequence more similar to each other. Then the skip-gram model is used to learn an overall embedding over node sequences. To strengthen the expressive power of the embedding in a specific layer, a fine tuning strategy with low time cost is employed to make the embedding comprise information of nodes at this particular layer and preserve their distinctive properties, and the unique embedding is achieved ultimately. To verify the effectiveness of our algorithms, we validate the performance of our algorithm and other baseline methods in the link prediction task. The results demonstrate that the learned embedding can capture the interlayer relationships and preserve the specific characteristics of nodes, and our algorithms can stably obtain better or comparable performance compared with other methods. © 2022 Elsevier B.V.

关键词： Network embeddings

来源：评论

学校读者我要写书评

暂无评论

Bidirectional Converter-Based Hybrid Capacitor for Pulsed Power Suppression with 99% High Efficiency

引用

IEEE Transactions on Industry Applications 2025年

作者： Zhang, Zuoqian Wu, Hongfei Xie, Linwei Yang, Fan Gao, Fei Xing, Yan Nanjing University of Aeronautics and Astronautics Center for More-Electric-Aircraft Power System College of Automation Engineering Nanjing 211106 China Nanjing University of Posts and Telecommunications College of Automation Engineering Nanjing 210003 China Shanghai Jiao Tong University Department of Electrical Engineering Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Shanghai 200240 China

The power fluctuations of pulsed power loads cause serious disturbances to the power system. To suppress the pulsed power, bulk passive capacitors are required, leading to significant increase in capacitor volume and weight. Although adopting active capacitor can reduce the capacitance, another high-power power converter with multiple power conversion stages must be used, which degrade the efficiency of the power system dramatically. In this paper, a hybrid capacitor is proposed for pulsed power suppression to overcome drawbacks of both passive and active capacitors. The proposed hybrid capacitor allows a trade-off between volume and efficiency by adjusting the ratio of active to passive capacitors. The active capacitor in this scheme is essentially a bidirectional converter and is connected in series with the passive capacitor. The voltages of the active and passive capacitors fluctuate in reverse with the same amplitude to keep the DC bus voltage constant. The capacitance voltage can fluctuate widely, which can reduce capacitance, size, and volume of capacitors. What's more, as the active capacitor only needs to handle partial pulsed power, its power rating and loss is much lower than conventional active capacitors. The structure derivation, operating principle, design considerations, and control strategy are analyzed in detail. Finally, a 5kW-peak power experimental demonstration is built to verify the effectiveness and feasibility of the proposed method. © 1972-2012 IEEE.

关键词： bidirectional converter hybrid capacitor partial power conversion pulsed power suppression ripple voltage compensation

来源：评论

学校读者我要写书评

暂无评论

Optimal Sequential False Data Injection Attack Scheme: Finite-Time Inverse Convergence

Optimal Sequential False Data Injection Attack Scheme: Finit...

引用

IEEE Conference on Decision and control

作者： Xiaoyu Luo Chongrong Fang Chengcheng Zhao Peng Cheng Jianping He The Department of Automation Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Jiao Tong University Shanghai Engineering Research Center of Intelligent Control and Management Shanghai China The State Key Laboratory of Industrial Control Technology Institute of Cyberspace Research Zhejiang University China

In this paper, we explore the relationship between the injected attack signal and the attack selection strategy in networked control systems where the adversary desires to steer the system state to the expected malicious one. We construct a sequential attack framework, i.e., the injected false data varies with the sampling time in discrete-time systems, and then derive an optimal sequential FDI attack strategy. The optimal sequential FDI attack strategy reveals the strongly coupled relationship between the injected attack signal and the attack selection strategy. Furthermore, we prove the finite-time inverse convergence of the critical parameters in the injected optimal attack signal by discrete-time Lyapunov analysis, which enables the efficient off-line design of the attack strategy and saves computing sources. Extensive simulations are conducted to show the effectiveness of the injected optimal sequential attack and the relationship between the attack signal and the attack selection strategy.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Error-state Kalman Filtering with Linearized State Constraints

TechRxiv

引用

TechRxiv 2023年

作者： Do, Hoang Viet Jung, Jae Hyung Park, Chan Gook Song, Jin Woo The Intelligent Navigation and Control Systems Laboratory Department of Convergence Engineering for Intelligent Drone School of Intelligent Mechatronics Engineering Sejong University Seoul05006 Korea Republic of The Department of Aerospace Engineering Automation and Systems Research Institute Seoul National University Seoul08826 Korea Republic of The Navigation and Electronic System Laboratory Department of Aerospace Engineering Institute of Advanced Aerospace Technology Seoul National University Seoul08826 Korea Republic of

In recent years, the error-state Kalman filter (ErKF) has been extensively employed across various applications, including but not limited to robotics, aerospace, and localization. However, incorporating constraints into the ErKF framework when state constraint is necessary has remained a challenging task due to its intrinsic properties. This paper explores all possible ways to achieve this goal in the context of the estimate projection method. In particular, the constraint can be enforced before or after the ErKF’s correction step. We approach the problem from a mathematical perspective by deriving analytical solutions and discussing their statistical properties. We prove that the two mentioned methods are statistically identical for a linear system with linear constraints. Conversely, the filter’s behavior remains uncertain in the presence of linearized constraints. However, we provide a special case of the nonlinear constraint, wherein the results of the linear case remain valid. To support our theorem and verify the filter’s performance when the assumptions are invalidated, we present two Monte Carlo simulations under the increasing initialization error and the constraint’s incompleteness. The simulation results clearly confirm our insights and lead to the conclusion that constraining the error-state after the correction may offer superior outcomes compared to its competitor. © 2023, CC BY.

关键词： Linearization

来源：评论

学校读者我要写书评

暂无评论

Learning Assisted Optimal Scheduling of Integrated Gas and Electricity Networks Under High Penetration of Renewable Energy

SSRN

引用

SSRN 2024年

作者： Sun, Xianzhuo Bai, Runze Zhang, Wen Qiu, Jing Tao, Yuechuan Lai, Shuying School of Electrical and Information Engineering The University of Sydney Camperdown2006 Australia Department of Electrical and Electronic Engineering The Hong Kong Polytechnic University 999077 Hong Kong Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education School of Electrical Engineering Shandong University Jinan250061 China

The growing integration of renewable energy sources into the power grid necessitates innovative approaches to energy system management. Integrated gas and electricity networks offer a promising solution to this challenge, enabling the efficient, reliable, and sustainable operation of energy systems. This paper presents a novel approach to the optimal scheduling of integrated gas and electricity networks, addressing the challenges posed by high penetration of renewable energy ***, a learning-assisted methodology is proposed to leverage Graph Convolutional Networks (GCNs) and Bayesian-based uncertainty models to enhance the accuracy and efficiency of scheduling integrated energy systems. The proposed GCN model effectively captures the complex interactions within the integrated network, facilitating accurate power and gas flow predictions. Meanwhile, the Bayesian-based model adeptly manages the inherent uncertainties associated with renewable energy generation, employing a chance-constrained approach to ensure system reliability. The effectiveness of the proposed methodology is demonstrated through extensive simulations on an IEEE 39-bus electricity network coupled with a 22-node hydrogen network. Results indicate significant improvements in computational efficiency and predictive accuracy compared to traditional model-based methods and existing data-driven techniques. © 2024, The Authors. All rights reserved.

关键词： Renewable energy

来源：评论

学校读者我要写书评

暂无评论

Fast and Accurate Pose Estimation for Industrial Workpieces Robotic Picking 2021

Fast and Accurate Pose Estimation for Industrial Workpieces ...

引用

3rd International Conference on Robotics systems and automation engineering, RSAE 2021

作者： Tang, Qichuan Gao, Xiaosong Li, Shenghao Zhao, Qunfei Department of Automation School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai200240 China Shanghai CRRC Intelligent System Co. Ltd. Shanghai201821 China

ISBN: (纸本)9781450388467

6DoF Pose estimation plays an important role in industrial robotic picking applications, and it is particularly challenging when dealing with complex-shaped workpieces, often with little texture. This paper proposes a complete approach to customize a fast and accurate workpiece picking system, based on dense reconstruction, object detection and point cloud registration schemes. For any target object, the required input is its CAD model. First, we use a depth camera and an eye-in-hand robot to capture the scene in RGB-D image form. Then, we align the CAD models to some reconstructed point clouds, and automatically generate datasets of annotated images with the help of projective rendering. The data is used to train a neural network object detector, in order to detect a region of interest in color images. Next, as the detected 2D region is projected into a 3D space, the depth information inside this space is extracted to conduct point cloud registration with the object's model for pose estimation, and its result guides the system to carry out an optical picking action. Moreover, our method is accelerated with the parallelized computation in GPU to raise the efficiency of the system. © 2021 ACM.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Non-Rigid 3D Point Set Registration With Reliable Hybrid Mixture Model

Non-Rigid 3D Point Set Registration With Reliable Hybrid Mix...

引用

IEEE International Conference on Robotics and Biomimetics

作者： Haocheng Huang Zhengyan Zhang Zhe Min Max Q.-H. Meng Shuang Song Jiaole Wang School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen China School of Control Science and Engineering Shandong University Jinan China Department of Electronic and Electrical Engineering Southern University of Science and Technology in Shenzhen China Department of Electronic Engineering The Chinese University of Hong Kong Hong Kong Shenzhen Research Institute of the Chinese University of Hong Kong in Shenzhen China

Non-rigid point set registration is an essential technique in fields such as robotics, computer vision, image-guided surgery, and augmented reality. However, effectively addressing non-rigid deformations and handling noise interference remains a significant challenge in this context. This paper introduces a novel hybrid mixture model (HMM), combining a Gaussian mixture model (GMM) to describe positional features and a Fisher mixture model (FMM) to represent orientation features. This hybrid mixture model offers a solution to the non-rigid point set registration (PSR) problem. The proposed approach iteratively optimizes model parameters through the maximum expectation (EM) algorithm. It comprehensively explores registration performance, accounting for non-rigid deformations amidst isotropic and anisotropic positional noise. The proposed approach further incorporates reliable normal vectors for evaluating orientation features. Extensive experiments on non-rigid PSR demonstrates the improvements our algorithm offers in terms of both robustness and accuracy.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Performance Analysis of the Modified Flux-Coupling-Type SFCL in VSC-HVDC system

Performance Analysis of the Modified Flux-Coupling-Type SFCL...

引用

Iranian Conference on Electrical engineering (ICEE)

作者： Mohammad Khakroei Ashkan Mirzaei Rajeooni Mahdi Rahimi Pirbasti Hossein Heydari MAPNA Electric & Control Engineering & Manufacturing Company (MECO) Alborz Iran Department of Engineering and R&D MAPNA Generator Engineering and Manufacturing Company (PARS) Alborz Iran Department of Electrical Engineering (Center of Excellence for Power System Automation and Operation) Iran University of Science and Technology (IUST) Tehran Iran

Although Voltage Source Converters based on HVDC (VSC-HVDC) systems have several advantages, they are vulnerable to DC fault currents. Concerning the inherent characteristics of high-temperature superconducting (HTS) material, using HTS in the fault current limiter could be a solution to limit the current in VSC-HVDC. The present paper seeks to provide an elaborately better solution to the problem mentioned above of the fault currents than what has previously been proposed. The object of this research is a modified flux coupling type superconductor fault current limiter (MFC-SFCL) to attenuate the fault current in VSC-HVDC network. The principle mechanism and operation of the SFCL and VSC-HVDC systems are modeled in detail, involving interplay or synergy between electrical and thermal properties. The simulation results demonstrate that the purposed MFC-SFCL has the proper function to mitigate the fault current.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A New Solution to the PID18 Challenge:Reinforcement-Learning-based PI control

A New Solution to the PID18 Challenge:Reinforcement-Learning...

引用

第34届中国控制与决策会议

作者： Yuting Wu Lantao Xing Xiao-Kang Liu Fanghong Guo the School of Electrical and Electronic Engineering Nanyang Technological University School of Control Science and Engineering Shandong Unvieristy the School of Artificial Intelligence and Automation Huazhong University of Science and Technology the Department of Automation Zhejiang University of Technology

The PID18 benchmark challenge,first presented at the 3rd IFAC Conference on Advances in 2018,is widely used to test the effectiveness of proportional-integral-derivative(PID) *** this challenge,a 2-Input and 2-Output vapor-compression refrigeration system with strong nonlinearities and couplings is used as the test control *** this paper,we address this challenge by proposing a new reinforcement-learning-based PI *** current existing results,the PI parameters of each RL-based PI controller are determined by two adaptive signals,which are generated by a reinforcement learning(RL) agent,aiming at achieving better control *** comparisons with existing methods have been conducted,and it is shown that our proposed strategy yields the best control performance thus far.

关键词： PI control Reinforcement learning PID18 benchmark refrigeration system

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：