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Exploring the Reform of Mechanical Drawing Teaching and Undergraduate Training Based on the 'Integration of Competition-Oriented education and Industry-University Collaboration' 13

Exploring the Reform of Mechanical Drawing Teaching and Unde...

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13th International Conference on educational and Information Technology, ICEIT 2024

作者： Runfeng, Zhang Yankun, Ming Zhenzhong, Liu Jianguo, Wu Xiaofei, Wang Yanfang, Sun School of Mechanical Engineering Tianjin University of Technology Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin300384 China Tianjin University of Technology National Demonstration Center for Experimental Mechanical and Electrical Engineering Education China Tianjin Hanhailanfan Marine Technology Co. Ltd. Tianjin300457 China

ISBN: (纸本)9798350372663

This study aims to explore the reform of mechanical drawing teaching and the undergraduate training model with the goal of cultivating high-quality mechanical engineering undergraduate students. Grounded in the concepts of 'synergy between science and education' and 'integration of competition-oriented education and industry-university collaboration,' this research places talent cultivation as the central focus, linking it with discipline construction and emphasizing scientific research. The study promotes the reform of a collaborative education mechanism known as 'integration of competition-oriented education and industry-university collaboration,' effectively establishing a multi-level and multi-dimensional undergraduate training model for mechanical engineering students that incorporates the 'dual mentor system' and integrates theory, practice, and application. To apply this model in teaching practice, this research has undertaken the reform of traditional engineering drawing education, specifically addressing the issue of the gap between theory and practice in conventional teaching approaches. The proposed training program not only facilitates the development of innovative mechanical engineering professionals but also offers insights for the reform of undergraduate teaching models in the context of constructing 'new engineering disciplines'. © 2024 IEEE.

关键词： Competition

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Structural Optimization of a Magnetically Operated Actuator Mechanism for 10kV Circuit Breaker 25

Structural Optimization of a Magnetically Operated Actuator ...

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25th IEEE China Conference on system Simulation Technology and its Application, CCSSTA 2024

作者： Liang, Chao Tian, He Zhao, Guanqiao Li, Jiangping Zhu, Ziliang Shen, Ruixuan Tianjin University of Technology Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin China Tianjin University of Technology National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin China Tianjin Sanyuan Power Equipment Manufacturing Co. Ltd Tianjin China

ISBN: (纸本)9798350366600

As the demand for reliable power supply in power systems grows, ensuring the performance of circuit breaker operating mechanisms is crucial. This performance is pivotal to the stability of the power grid, the speed of fault recovery, and the equipment's lifespan. In this paper, we introduce a structural optimization plan for a new magnetic control operating mechanism designed for 10kV circuit breakers. Employing three-dimensional and mathematical modeling, complemented by finite element analysis with Maxwell software, we delved into an in-depth study of the mechanism's structure, performance, and materials. We further conducted a parametric design and comparative analysis of key components. The simulation results, which exclude the spring load, demonstrate that the optimized circuit breaker can achieve a closing velocity of 3.07 m/s, an electromagnetic force peaking at 2.7 kN, and a closure time minimized to 8.5 ms. These enhancements notably improve the mechanism's closing efficiency. Consequently, our research introduces a novel perspective to the field of reliability studies for magnetic control operating mechanisms. © 2024 IEEE.

关键词： Magnetic actuators

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Source-Load-Storage Coordinated Optimal Scheduling Model Considering Admissible Region of Net Load

Source-Load-Storage Coordinated Optimal Scheduling Model Con...

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IEEE Asia Power and Energy Engineering Conference (APEEC)

作者： Fengbin Sun Mingqiang Wang Caishuai Liang Xia Zhang Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China Luyuan Electric Group Co. LTD Jinan China

ISBN: (数字)9798350373479

ISBN: (纸本)9798350373486

With the increasing penetration of renewable energy, the urgent issue of maximizing the integration of renewable energy while meeting economy security and reliability requirements needs to be addressed. Based on the theory of admissible region, integrating models of renewable energy, energy storage systems, and demand response, this paper proposes a source-load-storage coordinated optimal scheduling model considering admissible region of net load. The model uses the generation-load transfer factors based on decoupled linearized power flow to construct power flow constraints, enabling coordinated optimization of active power, reactive power, and voltage in the power system. Uncertainty constraints in the model are transformed into deterministic constraints based on affine strategy, and the entire model is transformed into a bilinear programming model using duality theory and power circle linearization, facilitating solution using mature commercial solvers. Finally, the effectiveness and superiority of the model are verified on the IEEE-RTS system.

关键词： Renewable energy sources Analytical models Reactive power Uncertainty Biological system modeling Computational modeling Optimal scheduling

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Active thermal metasurfaces for remote heating/cooling by mimicking negative thermal conductivity

arXiv

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arXiv 2022年

作者： Liu, Yichao Chao, Kun Sun, Fei Chen, Shaojie Dai, Hongtao Chen, Hanchuan Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan030024 China

Remote temperature control can be obtained by a long-focus thermal lens that can focus heat fluxes into a spot far away from the back surface of the lens and create a virtual thermal source/sink in the background material, around which the temperature field distribution can be remotely controlled by changing the parameters of the thermal lens. However, due to the lack of negative thermal conductivity, the existing thermal lenses have extremely short focal lengths and cannot be used to remotely control the temperature field around the virtual thermal source/sink. In this study, we theoretically propose a general approach to equivalently realize negative thermal conductivity by elaborately distributed active thermal metasurface (ATMS), then use the proposed ATMS to implement a novel thermal lens with long focal length designed by transformation thermodynamics, and experimentally verify the performance of the designed long-focus thermal lens with measured focal length f=19.8mm for remote heating/cooling. The proposed method expands the scope of the thermal conductivity and open up new ways to realize unprecedented thermal effects with effective negative thermal conductivity, such as "thermal surface plasmon polaritons", thermal superlens, thermal tunneling effect, and thermal invisible gateway. Copyright © 2022, The Authors. All rights reserved.

关键词： Surface plasmons

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Forecasting-Aided Voltage Estimation for Distribution Network Considering the Integrated Management of Virtual Power Plants Platform

Forecasting-Aided Voltage Estimation for Distribution Networ...

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IEEE Student Conference on Electric Machines and systems

作者： Yujian Jia Zhao Liu Changtao Kan Yue Yu Changgang Li State Grid Jinan Power Supply Company Jinan China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (数字)9798350366945

ISBN: (纸本)9798350366952

As more distributed energy sources integrate into distribution networks, issues such as voltage fluctuations and reduced observability become increasingly prominent. Therefore, this paper proposes an algorithm for forecasting-aided state estimation (FASE) in virtual power plants' integrated operation management platform. Firstly, a Bidirectional Long Short-Term Memory (BiLSTM)-Extended Kalman Filter (EKF) algorithm for distribution network FASE is introduced. Secondly, the integrated management of virtual power plant platforms (IM-VPPP) enhances the observability of distribution networks. To evaluate the performance of the proposed method, simulations are conducted using the IEEE 33-bus standard distribution system. Results demonstrate significant advantages of the algorithm in terms of accuracy and robustness.

关键词： Voltage measurement Voltage fluctuations Noise Distribution networks Virtual power plants Robustness Kalman filters State estimation Observability Standards

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Visualization of CNN Transient Voltage Classification Based on Feature Recognition and Enhancement

Visualization of CNN Transient Voltage Classification Based ...

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2021 IEEE Sustainable Power and Energy Conference, iSPEC 2021

作者： Li, Zhendong Liu, Yutian An, Jun Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control Renewable Energy Technology Ministry of Education Jilin China

ISBN: (纸本)9781665414395

The deep learning algorithm represented by CNN has achieved remarkable results in complex feature extraction, classification and regression. Since the CNN adopts an end-to-end training process, the carrier of acquisition knowledge is a high-dimensional non-linear function, which is hard to understand by humans. Therefore, it is difficult to be widely used in online decision-making engineering scenarios such as the fast assessment of power system transient voltage stability. In this paper, the key input elements extracted by CNN are identified by Grad-CAM, and the key features captured by CNN in the assessment process are enhanced based on AM, so as to finally obtain the visual expression of key areas and variables of the original input data. Besides, a sample construction method based on single line diagram is proposed to improve the visualization effect of Grad-CAM and AM. Simulation results and analyses of IEEE 39bus test system demonstrates the effectiveness of the proposed method. © 2021 IEEE.

关键词： Visualization

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Low-Carbon Dispatch Strategy for Virtual Power Plant Based on Bagging Ensemble Learning Forecasting Method

Low-Carbon Dispatch Strategy for Virtual Power Plant Based o...

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IEEE Student Conference on Electric Machines and systems

作者： Guang Li Xin Dong Li Li Yue Yu Changgang Li State Grid Jinan Power Supply Company Jinan China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (数字)9798350366945

ISBN: (纸本)9798350366952

Virtual power plants (VPPs) struggle with peak-shaving due to unreliable distributed generation (DG) data and the intermittent nature of wind and solar power, impacting carbon emissions. This paper proposes a low-carbon dispatch strategy for VPPs based on a Bagging ensemble forecasting model. Firstly, a VPP dispatch framework based on DG output and load forecasting is established, and a Bagging ensemble forecasting model with feature selection is proposed. Secondly, the control characteristics of flexible industrial, commercial, and residential loads are analyzed to establish a control cost model, which is then integrated with the balanced relationship between wind, photovoltaic, and energy storage, as well as the carbon emission mechanism, to formulate a low-carbon dispatch model. Finally, the simulation results show that the proposed strategy can improve the accuracy of DG output and load forecasting in complex feature environments while realizing the interaction between source-grid-load and reducing the generation and operation costs of the grid.

关键词： Analytical models Costs Carbon dioxide Predictive models Wind power generation Virtual power plants Forecasting Wind forecasting Bagging Load modeling

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Optical encryption using structural uncorrelated characteristics of biological scattering media

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Optica Acta: International Journal of Optics 2023年第1期70卷 69-76页

作者： Aiping Zhai Qing Han Teng Zhang Wenjing Zhao Dong Wang a College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan People’s Republic of China a College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan People’s Republic of Chinab Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province Taiyuan University of Technology Taiyuan People’s Republic of China

ABSTRACTABSTRACTInspired by the unique internal structures with inherent anisotropy in biological tissues and their dynamic scattering characteristic, a simple and easy-to-fabricate optical encryption technique using structural uncorrelated characteristics of biological tissues was proposed. It can generate unique keys with the random characteristics of the tissues and transforms multiple image plaintexts into speckle-like ciphertexts. The optical encryptions of grayscale images are demonstrated utilizing the uncorrelated characteristics of shallot and chicken breast respectively. Ciphertext-only-attack is resisted by phase retrieval due to the inherent dynamic randomness of biological tissues and the complexity of the plaintexts. Besides, once the unique PSF keys is recorded by the optical setup, the encryption can be accomplished, either online using the setup, or offline through performing convolutions on the plaintexts with pre-recorded uncorrelated PSFs to yield ciphertexts. Therefore, it is very secure, simple, and flexible to guarantee the promising potentials for information encryption of grayscale images and/or videos.

关键词： Optical encryption structural uncorrelated characteristics biological tissues grayscale images

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Multi-level Voltage Coordination Optimization Strategy of Distribution Network Considering Multiple Devices

Multi-level Voltage Coordination Optimization Strategy of Di...

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IEEE Asia Power and Energy Engineering Conference (APEEC)

作者： Caishuai Liang Mingqiang Wang Fengbin Sun Xia Zhang Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China Luyuan Electric Group Co. LTD Jinan China

ISBN: (数字)9798350373479

ISBN: (纸本)9798350373486

The presence of wind power, photovoltaic, and other distributed energy sources within the distribution network. The power quality of the distribution network degrades as the proportion of distributed energy increases. To address the uncertainty introduced by the integration of distributed energy, it is essential to coordinate and optimize the multi-voltage levels within the distribution network. Currently, most studies focus on achieving voltage control in the distribution network by minimizing either network loss or voltage fluctuation, often limiting consideration to a single voltage stage. Minimizing network loss can enhance the overall operational cost efficiency of the distribution network, but it has a limited impact on suppressing voltage fluctuation. Hence, this paper initially establishes a two-layer voltage control model for the distribution network through priority target programming. The first layer employs the minimum voltage deviation as the objective function to meet the 10-0.38 kV voltage control requirements. The second layer minimizes the total operational cost of the distribution network, incorporating network loss costs as the objective function to meet economic operational requirements. The programming is subsequently implemented in GAMS. Lastly, the effectiveness of the proposed model is validated using the IEEE-33 node system.

关键词： Costs Voltage fluctuations Fluctuations Uncertainty Distribution networks Transforms Programming

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Exploration and Practice of Cultivating Methods of Undergraduates' Ability to Apply Knowledge: Taking Engineering Drawing course as an example 23

Exploration and Practice of Cultivating Methods of Undergrad...

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8th International Conference on Distance education and Learning, ICDEL 2023

作者： Wang, Xiaofei Wang, Jutao Zhang, Runfeng Yuan, Jingyao Tianjin Key Laboratory of the Design and Intelligent Control of the Advanced Mechatronical System Natl. Demonstration Ctr. for Exp. Mech. and Elec. Eng. Education Tianjin University of Technology Tianjin University of Technolog China Tianjin University of Technology China

ISBN: (纸本)9798400700422

The ability to apply knowledge is one of the most important abilities for university students. In the paper, it introduces that how to foster the ability in the teaching of engineering drawing course, and presents some views about and exploration of the reform of the engineering drawing course for cultivating engineers with modern consciousness and innovation quality. In accordance with the standards of engineering education accreditation, based on the idea of Conceive-Design-Implement-Operate (CDIO), ideological and political of curriculum is merged into the course. The course reform better improve the quality of engineering education, lay a solid foundation of the specialty, and cultivate students' spatial thinking ability. At the same time, the course reform help students have a more comprehensive understanding to product-formation process, and then enhance students' sense of macro control of products. Combined with the characteristic of the engineering education accreditation and the CDIO in the teaching syllabus, curriculum structure, teaching methods and experiments are reformed. Following the pace of technological development, starting from stimulating students' interest in learning, integrating a 3D printing project into the teaching reform of engineering drawing is explored. There are two different level of introducing 3D printing into the course. They are shallow introduction and deep participation in producing a product by 3D printing. In the teaching mode of deep integration, students participate in the whole process of product design, modeling, 3D printing and all other 3D printing links. The implementation of this model is conducive to arousing students' interest in learning, giving free reign to their subjective initiative, enabling students to enjoy the learning process. Finally, the teaching objectives are realized, and their innovative ability are improved. © 2023 ACM.

关键词： Curricula

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