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27th International Workshop on Electric Drives: MPEI Department of Electric Drives 90th Anniversary, IWED 2020

作者： Lukin, Aleksandr Demidova, Galina L. Lukichev, Dmitry V. Rassolkin, Anton Kallaste, Ants Vaimann, Toomas Belahcen, Anouar ITMO University Faculty of Control System and Robotics Saint Petersburg Russia Tallinn University of Technology Department of Electrical Power Engineering and Mechatronics Tallin Estonia Aalto University Department of Electrical Engineering and Automation Helsinki Finland

ISBN: (纸本)9781728141589

The main feature of Magnus wind turbine is the ability to produce energy at low wind speed. This benefit lets to use such types of turbines in smart homes, which are an important part of the development of distributed energy systems, growth of blockchain electricity technology and needs for duplication of the solar energy system in the private buildings. This paper presents topology of two cylinders Magnus wind turbine in order to ensure the highest values of power coefficient and the Magnus force. The optimal ratio of wind speed and cylinder rotation speed were detected to eliminate the oscillations caused by the Von Karman vortex street phenomenon. © 2020 IEEE.

关键词： Wind power

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Development of a UAV-based system for Technical Diagnostics of Overhead Power Lines

Development of a UAV-based System for Technical Diagnostics ...

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International Conference on Computational Problems of electrical engineering (CPEE)

作者： Oleksandr Kozlovskyi Dmitro Trushakov Serhiy Rendzinyak Vasyl Korud Department of Electrical Systems and Energy Management Central Ukrainian National Technical University Kropyvnytskyi Ukraine Department of Automation and Control in Technical Systems Central Ukrainian National Technical University Kropyvnytskyi Ukraine Faculty of Electronics and Computer Technologies Ivan Franko National University of Lviv Lviv Ukraine Institute of Power Engineering and Control System Lviv Polytechnic National University Lviv Ukraine

The problems associated with the operation of overhead power lines and ways of improving control over their condition with the help of UAVs are considered. A structural diagram of the system of technical diagnostics of overhead lines based on UAVs was developed, for which the necessary diagnostic parameters were selected according to informative criteria. An analysis of types of UAVs was carried out in order to determine their suitability and efficiency of use for diagnosing the condition of overhead lines.

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Improving Time Synchronization with Period Adaptation in Single Twisted Pair Ethernet

Improving Time Synchronization with Period Adaptation in Sin...

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IEEE International Conference on Networking, Sensing and control

作者： Xuchao Gao Zhezhuang Xu Guanwen Cui Jian Chen Qimin Xu College of Electrical Engineering and Automation Fuzhou University Fuzhou China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai China

ISBN: (纸本)9781665440493

In the industrial internet of things (IIoT), single twisted pair Ethernet becomes popular since it can reuse single twisted pair cables in the field bus to connect field devices to the IIoT. However, in the single twisted pair Ethernet, the delay jitter greatly impacts the performance of time synchronization that can not satisfy the requirements of time-sensitive and high speed tasks in the industrial field. To solve this problem, in this paper, an improved time synchronization algorithm is proposed based on precision time protocol (PTP). By detecting the delay jitter, this algorithm could adaptively adjust the synchronization period, and thus reduce the time offset. The algorithm is deployed in the testbed to study its performance by comparing with original PTP. Experimental results prove that the proposed algorithm can increase the accuracy of the time synchronization in the single twisted pair Ethernet.

关键词： Performance evaluation Protocols Heuristic algorithms Ethernet Delay estimation Jitter Sensors

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Global Finite-Time Stabilization for a Chain of Integrators in the Presence of Actuator Saturation by Homogeneous Feedback

Global Finite-Time Stabilization for a Chain of Integrators ...

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IEEE Conference on Decision and control

作者： Tan Hou Yuanlong Li Zongli Lin Department of Automation Shanghai Jiao Tong University Shanghai P. R. China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia Charlottesville VA USA Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai P. R. China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai P. R. China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia Charlottesville VA USA

This paper considers the problem of globally stabilizing a chain of integrators with actuator saturation in finite time. The proposed method is adapted from an existing scheduled low gain approach by relaxing the range of the value of the low gain parameter. Due to the special structure of the considered system, the proposed feedback law not only results in finite-time stability but also is homogeneous in the whole state space. The homogeneity of the proposed feedback law allows its implementation through the discretization of a compact set of the state space and thus obviation from numerical difficulties in the existing scheduled low gain design. A numerical example is presented to validate our theoretical results and demonstrate that our approach achieves faster convergence than the existing methods.

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Bidirectional Pricing and Demand Response for Nanogrids with HVAC systems

arXiv

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arXiv 2022年

作者： Cao, Jiaxin Yang, Bo Zhu, Shanying Ma, Kai Guan, Xinping The Department of Automation Shanghai Jiao Tong University Shanghai200240 China The Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China The School of Electrical Engineering Yanshan University Qinhuangdao066004 China

Owing to the fluctuant renewable generation and power demand, the energy surplus or deficit in each nanogrid is embodied differently across time. To stimulate local renewable energy consumption and minimize the long-term energy cost, some issues still remain to be explored: when and how the energy demand and bidirectional trading prices are scheduled considering personal comfort preferences and environmental factors. For this purpose, the demand response and two-way pricing problems concurrently for nanogrids and a public monitoring entity (PME) are studied with exploiting the large potential thermal elastic ability of heating, ventilation and air-conditioning (HVAC) units. Different from nanogrids, in terms of minimizing time-average costs, PME aims to set reasonable prices and optimize profits by trading with nanogrids and the main grid bi-directionally. In particular, such bilevel energy management problem is formulated as a stochastic form in a long-term horizon. Since there are uncertain system parameters, time-coupled queue constraints and the interplay of bilevel decision-making, it is challenging to solve the formulated problems. To this end, we derive a form of relaxation based on Lyapunov optimization technique to make the energy management problem tractable without forecasting the related system parameters. The transaction between nanogrids and PME is captured by a one-leader and multi-follower Stackelberg game framework. Then, theoretical analysis of the existence and uniqueness of Stackelberg equilibrium (SE) is developed based on the proposed game property. Following that, we devise an optimization algorithm to reach the SE with less information exchange. Numerical experiments validate the effectiveness of the proposed approach. Copyright © 2022, The Authors. All rights reserved.

关键词： Costs

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A Risk-Averse Just-In-Time Scheme for Learning-Based Operation of Microgrids With Coupled Electricity-Hydrogen-Ammonia Under Uncertainties

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IEEE Transactions on Sustainable Energy 2025年

作者： Li, Longyan Ning, Chao Pan, Guangsheng Zhang, Leiqi Gu, Wei Zhao, Liang Du, Wenli Shahidehpour, Mohammad Shanghai Jiao Tong University Department of Automation Shanghai200240 China Ministry of Education of China Key Laboratory of System Control and Information Processing Shanghai200240 China School of Electrical Engineering Southeast University Nanjing210096 China Zhejiang Key Laboratory of Distributed Generations and Microgrid Technology State Grid Zhejiang Electric Power Research Institute Hangzhou310014 China Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education East China University of Science and Technology China Department of Electrical and Computer Engineering Illinois Institute of Technology ChicagoIL60616 United States

This paper proposes a Risk-Averse Just-In-Time (RAJIT) operation scheme for Ammonia-Hydrogen-based Micro-Grids (AHMGs) to boost electricity-hydrogen-ammonia coupling under uncertainties. First, an off-grid AHMG model is developed, featuring a novel multi-mode ammonia synthesis process and a hydrogen-ammonia dual gas turbine with tunable feed-in ratios. Subsequently, a state-behavior mapping strategy linking hydrogen storage levels with the operation modes of ammonia synthesis is established to prevent cost-ineffective shutdowns. The proposed model substantially improves operational flexibility but results in a challenging nonlinear fractional program. Based upon this model, a data-driven RAJIT scheme is developed for the real-time rolling optimization of AHMGs. Unlike conventional one-size-fits-all schemes using one optimization method throughout, the data-driven RAJIT intelligently switches between cost-effective deterministic optimization and risk-averse online-learning distributionally robust optimization depending on actual risk profiles, thus capitalizing on the respective strengths of these two optimization methods. To facilitate the solution of the resulting nonlinear program, we develop an equivalent-reformulation-based solution methodology by leveraging a constraint-tightening technique. Numerical simulations demonstrate that the proposed scheme guarantees safety and yields an overall cost reduction up to 14.6% compared with several state-of-the-art methods. © 2025 IEEE.

关键词： Ammonia

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Review on the Two-layer Coordinated Architecture for Optimal Regulation and control of Energy Interconnection system in ew-type Towns 12

Review on the Two-layer Coordinated Architecture for Optimal...

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12th IEEE PES Asia-Pacific Power and Energy engineering Conference, APPEEC 2020

作者： Wang, Qi Li, Ning Gu, Xin Zhang, Nianchu Chen, Yonghua He, Guoxin Nanjing Normal University School of Electrical and Automation Engineering Nanjing China Simulation and Operation Control Nari Group Corporation Laboratory of Integrated Energy System Nanjing China

ISBN: (纸本)9781728157481

Energy interconnection system integrating 'Internet+' has become a new developing form of energy industry with the increase of Chinese urbanization level. It features the characteristics of multiple energy entities interconnection and independent decision. The decision-making structure, requirements of massive data processing, real-time communication and privacy security prevent the further application of centralized optimization method based on independent decision-making entities. Additionally, the difference of optimization among the energy entities cannot be ignored in the distributed optimization application. Integrating the concepts of 'cloud supervision' and 'weak centralization', this paper proposes a centralized distributed collaborative regulation and control architecture, and studies the decision-making method under this architecture to accelerate the local and global optimization. Based on this, this paper analyzes and summarizes the key technologies involved, including edge-cloud collaborative deployment mechanism, engineering data processing and service technology for energy interconnection system in new-type towns. The purpose is to provide a way to realize the optimal dispatch of energy interconnection system in new-type towns, and provide some suggestions for the development of energy interconnection system in new-type towns. © 2020 IEEE.

关键词： Global optimization

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Asynchronous Decentralized Federated Learning for Collaborative Fault Diagnosis of PV Stations

arXiv

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arXiv 2022年

作者： Liu, Qi Yang, Bo Wang, Zhaojian Zhu, Dafeng Wang, Xinyi Ma, Kai Guan, Xinping The Department of Automation Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China School of Electrical Engineering Yanshan University Qinhuangdao066004 China

Due to the different losses caused by various photovoltaic (PV) array faults, accurate diagnosis of fault types is becoming increasingly important. Compared with a single one, multiple PV stations collect sufficient fault samples, but their data is not allowed to be shared directly due to potential conflicts of interest. Therefore, federated learning can be exploited to train a collaborative fault diagnosis model. However, the modeling efficiency is seriously affected by the model update mechanism since each PV station has a different computing capability and amount of data. Moreover, for the safe and stable operation of the PV system, the robustness of collaborative modeling must be guaranteed rather than simply being processed on a central server. To address these challenges, a novel asynchronous decentralized federated learning (ADFL) framework is proposed. Each PV station not only trains its local model but also participates in collaborative fault diagnosis by exchanging model parameters to improve the generalization without losing accuracy. The global model is aggregated distributedly to avoid central node failure. By designing the asynchronous update scheme, the communication overhead and training time are greatly reduced. Both the experiments and numerical simulations are carried out to verify the effectiveness of the proposed method. © 2022, CC BY.

关键词： Failure analysis

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PCB Defect Recognition and Elimination Based on Secondary Error and Statistical Histogram 16

PCB Defect Recognition and Elimination Based on Secondary Er...

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16th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2020

作者： Li, Rui Xue, Bin Zhao, Kun Chu, Huihui Jiao, Benshuang School of Mechanical and Electrical Engineering Qingdao Binhai University Shandong China Qingdao Zhongzhuang Vision Automation System Control Co. Ltd. Shandong China

ISBN: (纸本)9781728131290

Aiming at the difficulty of missing, wrong and reverse detection in PCB component detection, the paper proposes a new PCB defect detection and elimination based on visual recognition technology and computer-aided system, it can find out target more efficiently by visual inspection technology in the non-stop line. The target region was marked through secondary error matching algorithm, the threshold segmentation graph of original images were investigated in the marked region. The recognition capability for missing and wrong detection was enhanced. The component matching compatibility was analyzed by mask operation and statistical histogram algorithm. The recognition capability for polarity detection was enhanced. The results were judged by computer aided evaluation system that was carried out under the environment of Vision Pro and Visual Studio. The dynamic position of defective component was calculated by PLC. The operation results showed that through the proposed method, the recognition rate was 100%, and the false alarm rate was about 3% in the detection of anti logic, color components, pins and capacitance, and meet the needs of real-time detection and elimination. © 2020 IEEE.

关键词： Polychlorinated biphenyls

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Theory and Experiment on Distributed Output Formation Tracking of Unmanned Aerial and Ground Vehicle Swarm systems Over Jointly Connected Digraphs

SSRN

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SSRN 2024年

作者： Shu, Peixuan Wang, Changhai Hua, Yongzhao Dong, Xiwang Liu, Yumeng Ren, Zhang School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beihang University Beijing100191 China Shenyuan Honors College Beihang University Beijing100191 China Institute of Artificial Intelligence Beihang University Beijing100191 China Institute of Unmanned System Beihang University Beijing100191 China Institute of Software Chinese Academy of Sciences Beijing100190 China

This paper studies the distributed output formation tracking control problem of the unmanned aerial vehicle (UAV) and unmanned ground vehicle (UGV) swarm systems, where the UAV swarm cooperatively tracks the output trajectory of the UGV in a formation under directed jointly connected communication networks. A three-layer formation tracking protocol is proposed. Firstly, a novel distributed observer using neighbor interactions is designed for each UAV to estimate the states of the UGV with parameterized inputs over periodic jointly connected digraphs. Next, based on the observation result and output regulation theory, a virtual reference system that tracks the trajectory of the UGV in the desired formation is constructed to generate reference states for each UAV. Then based on the differential flatness of UAVs, a geometric controller is utilized for UAVs to track the reference states and form the formation. An algorithm to determine the gain matrices of the protocol is also presented while the convergence of the system is analyzed. Finally, an experiment platform with three quadrotor UAVs and one UGV is built. The effectiveness of the proposed protocol is validated both by the simulation and experiment. © 2024, The Authors. All rights reserved.

关键词： Ground vehicles

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