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9th IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2023

作者： Zhang, Shun Xie, Gang Tian, Juan Shi, Hui Zhang, Xiaohong Nie, Xiaoyin Xie, Xinlin Shanxi Key Laboratory of Advanced Control and Equipment Intelligence Taiyuan China Taiyuan University of Science and Technology Dept. of Electronic and Information Engineering Taiyuan China Division of Industrial and System Engineering Taiyuan China

ISBN: (纸本)9798350333794

With the rapid development of computer technology and the Internet of Things (IoT), a large amount of data containing both healthy and faulty states can be collected from existing devices in factories. However, the usable faulty state data is scarce. Transfer learning makes it possible to train efficient and reliable neural networks with a small number of samples. Domain adaptation, as a branch of transfer learning, can effectively realize knowledge transfer between small sample data. Starting from three subcategories of deep learning-based domain adaptation methods, this article summarizes the latest research achievements and provides insights into future research directions. © 2023 IEEE.

关键词： Failure analysis

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PIDDNet: RGB-dept. Fusion Network for Real-time Semantic Segmentation 14

PIDDNet: RGB-Depth Fusion Network for Real-time Semantic Seg...

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14th International Conference on Information and Communication Technology Convergence, ICTC 2023

作者： Shin, Yunsik Lee, Chaehyun Son, Yongho Kim, YangGon Park, Junghee Choi, Jun Won Hanyang University Dept. Electrical Engineering Seoul Korea Republic of Lig Nex1 Co. Ltd. Dept. Ground Control System S/W Seongnam Korea Republic of Hanyang University Dept. Artificial Intelligence Seoul Korea Republic of

ISBN: (纸本)9798350313277

For RGB semantic segmentation, a two-branch network was proposed to effectively utilize both local detail information and global contextual information within an RGB image. This architecture combines a shallow spatial path with a deeper context path, resulting in high performance and FPS. Research on RGB-dept. segmentation has shown the performance gain that the dept. map could provide complementary information to the RGB model. However, the advantage of fusing RGB and dept. map within a two-branch network framework is unclear due to the distinct characteristics of these modalities. To address this, we present a novel fusion RGB-dept. architecture that takes into account the attributes of local context, global context, RGB, and dept. map. Through the bidirectional image dept. fusion technique, we effectively leverage each of the modalities, achieving a performance of 81.23 mIoU. This marks a gain of 1.27% when compared to the RGB-only model and 0.45% when contrasted with the element-wise feature addition fusion baseline. © 2023 IEEE.

关键词： Deep Learning RGB-dept. Fusion Semantic Segmentation

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Optimization Scheduling of Multi-Energy Microgrid Based on the QUBO Quantum Computing Model 19th

Optimization Scheduling of Multi-Energy Microgrid Based on t...

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19th Annual Conference of China Electrotechnical Society, ACCES 2024

作者： Wang, Baonan Wang, Hui Zhang, Dan College of Computer Science and Technology Shanghai University of Electric Power Shanghai China State Key Laboratory of Power System Operation and Control Dept. of Electrical Engineering Tsinghua University Beijing China Institute of Logistic Science and Engineering Shanghai Maritime University Shanghai China

ISBN: (纸本)9789819608966

Current optimization methods for microgrid scheduling face issues such as insufficient precision in energy distribution, high operational costs, and inefficiency. In response to these challenges, an optimization scheduling method for multi-energy microgrids based on the QUBO (Quadratic Unconstrained Binary Optimization) quantum computing model is proposed in this paper, alongside a discretization approach based on a grid partitioning strategy. To validate the feasibility of addressing microgrid optimization scheduling problems in a quantum computing environment, a QUBO model is constructed and simulation studies are conducted in the qbsolv environment provided by D-Wave. The results indicate that operational costs are significantly reduced with an increase in the number of grids, particularly a reduction of 4.52% when the number of grids increases from five to ten. This method not only effectively enhances the precision of electricity supply and energy utilization efficiency but also reduces unnecessary electrical waste and economic costs. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Microgrids

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MMC Based D-STATCOM control by Using a Modified ADRC Strategy 8

MMC Based D-STATCOM Control by Using a Modified ADRC Strateg...

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8th Southern Power Electronics Conference and the 17th Brazilian Power Electronics Conference, SPEC / COBEP 2023

作者： Neto, João A. Moor Zachi, Alessando R. Paucar, Braulio Chuco Do Brasil, Thiago Americano Mussa, Samir Ahmad CEFET-RJ Department of Electrical Engineering Rio de Janeiro Brazil CEFET-RJ Department of Control System and Automation Engineering Rio de Janeiro Brazil UFSC - Sc Dept. of Electrical and Electronic Engineering Florianopolis Brazil

ISBN: (纸本)9798350321128

This paper presents investigations of a transformerless half bridge sub-module (HBSM) modular multilevel converter based distribution static synchronous compensator (MMC D-STATCOM) performance in reactive power compensation considering the application of the modified ADRC controllers in the inner current loop and in the outer DC voltage loop using Synchronous Reference Frame control. Simulation results with the imposition of severe variations in reactive loads were obtained on a 5 km medium voltage feeder and will demonstrate that the modified ADRC controller enables superior performance for flexible operation with fast and efficient response of the MMC D-STATCOM in reactive power compensation. © 2023 IEEE.

关键词： ADRC controller D-STATCOM PI controller PSCAD/EMTDC Reactive Power Compensation

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Influence of Specimen Selection on Lifetime Prediction of Low Voltage Electrical Machines Under Variable Temperature Aging

Influence of Specimen Selection on Lifetime Prediction of Lo...

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2024 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2024

作者： Zhou, Xuanming Ji, Yatai Giangrande, Paolo Zhao, Weiduo Galea, Michael Ijaz, Salman University Of Nottingham Ningbo China Key Laboratory Of More Electric Aircraft Technology Of Zhejiang Province Ningbo China Tsinghua University Department Of Electrical Engineering Beijing China University Of Bergamo Dept. Of Engineering And Applied Sciences Dalmine Italy University Of Malta Dept. Of Electrical Engineering Msida Malta University Of Nottingham Ningbo China Control System Labrotary Ningbo China

ISBN: (纸本)9798331529277

To a great extent, electric machine (EM) lifetime is affected by electrical failures that compromise the integrity of the windings electrical insulation system (EIS). During EMs operation, the EIS suffered various stresses, such as, thermal, electrical, mechanical and ambient (TEAM), which lead the deterioration and decrease the dielectric property of EIS. However, under rated operating conditions, the entire degradation process can take several years before insulation breakdown occurs. Thus, accelerated lifetime tests (ALT) are conventionally performed on various high stress level. Furthermore, the suitable specimen topology should be chosen according to the ALT task objectives, which is also crucial to the resulted lifetime values. In this paper, ALTs at variable temperature profile are performed using two types of specimens (i.e., coils and motorettes). Then, the collected lifetime data are analyzed by statistical tools and the underlying stress mechanism is discussed. Finally, the thermal-mechanical stress is pointed out as the primary factor contributing to lifetime prediction mismatch. © 2024 IEEE.

关键词： Machine windings

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Reference Tracking for Constrained Uncertain Linear systems by Stochastic MPC

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IFAC-PapersOnLine 2023年第2期56卷 10421-10427页

作者： Jannik Hahn Olaf Stursberg Control and System Theory Dept. of Electrical Engineering and Computer Science University of Kassel 34121 Kassel Germany

This paper addresses model predictive control of a class of linear systems subject to additive stochastic disturbances and constraints. The underlying stochastic optimal control problem combines inverse cumulative distribution functions with ellipsoid-in-polyhedron formulations to reduce the conservatism induced by constraint satisfaction. By use of terminal constraints and time-varying weights within the cost functional, the presented control scheme satisfies criteria for mean-square stability and can be adapted to reference-tracking problems for arbitrary reference signals.

关键词： Probabilistic Constraints Mean-Square Stability Predictive control Stochastic control Uncertain systems

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Introducing a Novel Hybrid Agent-Based Framework for Simulating the Adoption of Residential Water Conservation Behaviors

Introducing a Novel Hybrid Agent-Based Framework for Simulat...

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World Environmental and Water Resources Congress 2023: Adaptive Planning and Design in an Age of Risk and Uncertainty

作者： Shahangian, Seyyed Ahmadreza Tabesh, Massoud Yazdanpanah, Masoud Akbarzadeh, Abbas Raoof, Mohammad Amin Zobeidi, Tahereh Hajibabaei, Mohsen Sitzenfrei, Robert School of Civil Engineering College of Engineering Univ. of Tehran Tehran Iran Water and Wastewater Research Center Water Research Institute Tehran Iran Dept. of Agricultural Extension and Education Agricultural Sciences and Natural Resources Univ. of Khuzestan Mollasani Iran Dept. of Family Youth and Community Sciences Univ. of Florida GainesvilleFL United States Dept. of Civil Engineering Sharif Univ. of Technology Tehran Iran Advancing System Analysis Program International Institute for Applied Systems Analysis Laxenburg Austria Unit of Environmental Engineering Dept. of Infrastructure Engineering Univ. of Innsbruck Innsbruck Austria

ISBN: (数字)9780784484852

ISBN: (纸本)9780784484852

Promoting household adoption of water conservation behaviors (WCBs) has emerged as a vital strategic response to address water scarcity. Nevertheless, it is imperative to recognize that acceptance of residential WCBs relies on households' voluntary engagement, as are interventions designed to encourage households to become involved in such actions. Meanwhile, environmental psychology plays a key role in understanding individuals' WCBs and exploring the psychosocial determinants underlying these behaviors. Furthermore, the spread of technology and behavior among a population are known as a complex adaptive system (CAS), and agent-based modeling (ABM) offers a comprehensive and practical approach to studying CASs. Hence, the main aim of the present research is to introduce a novel, hybrid agent-based framework for simulating the adoption of residential WCBs, in which an extended model of the theory of planned behavior acts as household agents' behavioral rule for adopting water-efficiency behaviors (WEBs). The framework is also grounded in various theories rooted in psychological and social sciences. Moreover, the presented framework integrates ABM and structural equation modeling approaches. Although this study mainly focuses on WEBs, the framework includes a mechanism to update agents' water use based on their adoption level of water curtailment behaviors. Thus, the presented framework allows for simultaneously but separately exploring the preferred level of both types of WCBs among household agents. Finally, total water consumption is systematically calculated based on agents' aggregated behavior. © World Environmental and Water Resources Congress *** rights reserved

关键词： Water conservation

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Development and Generalization of the Main Provisions of Equilibrium Thermodynamics Applied to General Quasi-Static systems 3

Development and Generalization of the Main Provisions of Equ...

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3rd IEEE International Conference on system analysis and Intelligent Computing, SAIC 2022

作者： Kutsenko, Alexander Kovalenko, Svitlana Kovalenko, Sergii National Technical University 'KhPI' Dept. of System Analysis and Information-Analytical Technologies Kharkiv Ukraine National Technical University 'KhPI' Dept. of Software Engineering and Management Intelligent Technologies Kharkiv Ukraine

ISBN: (数字)9798350396744

ISBN: (纸本)9798350396744

A method for mathematical modeling of multidimensional quasi-static processes, which are generalization of quasi-static processes in equilibrium thermodynamics, is proposed and substantiated. A generalization of the first and second law of thermodynamics in the form of Carathéodory for multidimensional quasi-static processes is obtained. The idea of generalization is the construction of an orthogonal system of functionals similar to the functionals of work and heat of classical thermodynamics along families of phase trajectories corresponding to different types of actions on a multidimensional quasi-static system. The representation of quasi-static processes by systems of ordinary differential equations containing control variables is substantiated. The obtained results make it possible to apply a wide arsenal of methods from the theory of dynamic systems control to solve problems of quasi-static processes control. © 2022 IEEE.

关键词： Arsenals

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Challenges and Solutions for Practical Implementation of Process Bus Based Substation Protection and Automation system

Challenges and Solutions for Practical Implementation of Pro...

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2023 IEEE Asia Meeting on Environment and Electrical engineering, EEE-AM 2023

作者： Soetomo, Kevin Hamamatsu, Koichi Thuan, Dinh Huu Linh, Nguyen Manh Quang, Lai Vu Okai, Makoto Power Grid System Solutions Toshiba Energy Systems & Solutions Corporation Engineering Dept. Kawasaki Japan Technical Department Ho Chi Minh City Viet Nam Ltd. Engineering Dept. Hanoi Viet Nam Ltd. Sales & Engineering Division Hanoi Viet Nam Toshiba Energy Systems & Solutions Corporation Protection and Control Dept. Fuchu Japan

ISBN: (纸本)9798350381061

The protection and control system in substations has undergone significant evolution since the era of hardwired systems. In recent years, the increasing trend of digital transformation (DX) across various fields, including protection and automation systems, has led to the promotion of IEC 61850 process bus-based digital substations. However, recent analysis and evaluation have revealed numerous challenges in various aspects, such as technical issues, system performance, test methods, maintenance, and economic considerations. Moreover, many of these challenges lie outside the scope of international standards like IEC 61850 and IEC 61869. As a result, the worldwide implementation of digital substations has been hindered. This paper aims to describe the issues encountered during the implementation of process bus technology and propose solutions that focus on optimizing system configuration based on our experience in implementing digital substation projects and developing MU and IED. Addressing these issues is crucial to fully unlocking the potential of digital substations. One of the most promising advantages is the availability of digital data collected from substation equipment. By utilizing this data, overall power system operational efficiency can be enhanced, and equipment management can be optimized. Predictive maintenance can be implemented, enabling the early detection of potential equipment failures, minimizing unplanned outages, and reducing the need for emergency repairs, which contribute to unnecessary carbon emissions and equipment downtime. Ultimately, digital substations empower end-users to reduce greenhouse gas emissions, improve energy efficiency, and seamlessly integrate power systems, thereby supporting the carbon-neutral initiative and facilitating the transition towards a sustainable energy future. © 2023 IEEE.

关键词： Energy efficiency

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AI/Big Data analysis Platform in JFE engineering

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JFE Technical Report 2021年第26期 62-68页

作者： Kobayashi, Yoshitaka Senoo, Mitsutoshi AI and Analytics Promotion Dept. ICT Center Technology Headquarters JFE Engineering Japan GRC Control Sec. Electrical & Control System Center JFE Engineering Japan

JFE engineering launched a remote plant monitoring and operation system in 2014, and opened GRC (Global Remote Center) in March 2018. In November 2018, a platform for data analysis was released for internal use to create an environment for utilizing AI and big data. In this article, we will introduce the functions of the platform and examples of AI/big data usage at our company. Copyright © 2021 JFE Steel Corporation. All Rights Reserved.

关键词： Information analysis

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