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Improving Power Response of Single-Controllable VSG-Based Active Distribution Network

CSEE Journal of Power and Energy systems 2025年第1期11卷 102-114页

作者： Shah Fahad Arman Goudarzi Pierluigi Siano Ji Xiang Department of Electrical and Computer Engineering Missouri University of Science and TechnologyUSA University of Victoria Canada Department of Management&Innovation Systems University of SalernoItaly Department of Electrical and Electronic Engineering Science University of JohannesburgJohannesburg2006South Africa National Laboratory of Industrial Control Technology College of Electrical EngineeringZhejiang UniversityHangzhou310058China

Controlling an active distribution network(ADN)from a single PCC has been advantageous for improving the performance of coordinated Intermittent RESs(IRESs).Recent studies have proposed a constant PQ regulation approach at the PCC of ADNs using coordination of non-MPPT based ***,due to the intermittent nature of DGs coupled with PCC through uni-directional broadcast communication,the PCC becomes vulnerable to transient *** address this challenge,this study first presents a detailed mathematical model of an ADN from the perspective of PCC regulation to realize rigidness of PCC against ***,an H_(∞)controller is formulated and employed to achieve optimal performance against disturbances,consequently,ensuring the least oscillations during transients at ***,an eigenvalue analysis is presented to analyze convergence speed limitations of the newly derived system ***,simulation results show the proposed method offers superior performance as compared to the state-of-the-art methods.

关键词： Cooperative control of DGs hierarchical control system high penetration of intermittent RESs H_(∞)control optimal control in power systems single-controllable active distribution networks

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Study on Development and Application of Lightweight Overhead Contact Line Poles for Emergency Recovery

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Transactions of the Korean Institute of Electrical Engineers 2023年第11期72卷 1568-1574页

作者： Cho, Ho-Ryung Nam, Han-Seok Kim, Jong-Nam You, Hong-Kuk Na, Young-Jae Kim, Jae-Moon Department of Transportation Systems Engineering Graduate School of Transportation Korea National University of Transportation Korea Republic of Graduate School of Transportation Department of Transportation System Engineering Doctorate Program OCS solution Co. Ltd Korea Republic of Korea Railroad Corporation Korea Republic of Department of Transportation Systems Engineering Korea National University of Transportation Korea Republic of

In the event of loss of roadbed on an electric railway line due to typhoon or heavy rain damage caused by abnormal weather, or damage to a subway pole due to an unexpected train derailment, installation of catenary poles for emergency recovery is necessary to restore the electric railways. Conventional emergency catenary poles are made of steel, so they are very heavy, and the length per unit is large, making transportation and installation inconvenient. Also, there is a risk of industrial accidents due to workers' musculoskeletal disorders. In this study, we developed an emergency recovery catenary pole using aluminum, a lightweight material, and researched and developed a slimmer rail fastening device that can also be applied to concrete ballast. The developed product underwent factory testing and reference testing, was assembled and installed on a field test, and then a safety test was performed. The product developed is expected to minimize disruption to train operations and prevent industrial accidents for related workers by safety and quickly restoring electric railways. Copyright © The Korean Institute of Electrical Engineers.

关键词： Poles

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Assessing Blockchain-Based Platforms for Organic Food Supplychain

Assessing Blockchain-Based Platforms for Organic Food Supply...

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2024 IEEE International Conference on Technology management, Operations and Decisions, ICTMOD 2024

作者： Moustapha, Mariem Mohamed Masmoudi, Malek Elhoseny, Mohamed University of Sharjah Department of Industrial Engineering and Engineering Management Sharjah United Arab Emirates IEEM University of Sharjah Department of Industrial Engineering and Engineering Management Sharjah United Arab Emirates University of Sharjah Department of Information Security and Intelligent Systems Sharjah United Arab Emirates

ISBN: (纸本)9798350367355

This research aims to find the best open-source blockchain platforms for use in agriculture, providing businesses with a solid foundation and helping them avoid the challenges of starting from scratch. The study began by reviewing 18 blockchain platforms and narrowing them down to 9 open-source options. It then used a combination of the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to evaluate the platforms. Expert opinions and a thorough literature review focused on four key criteria: Transparency and Traceability, Security and Data Integrity, Cost Efficiency, and User Experience and Accessibility. The AHP analysis showed that Transparency and Traceability were the most important factors, while the TOPSIS evaluation highlighted Hyperledger Sawtooth as the top platform, excelling in all areas. The study underscores the importance of a multi-criteria decision-making approach in selecting blockchain solutions for agriculture, showing how open-source platforms can enhance efficiency, ensure data integrity, and build trust with consumers. © 2024 IEEE.

关键词： agriculture AHP blockchain organic farming industry TOPSIS

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BLOCKCHAIN TECHNOLOGY FOR TRACEABILITY OF HAZARDOUS MATERIAL IN SEAPORTS 50

BLOCKCHAIN TECHNOLOGY FOR TRACEABILITY OF HAZARDOUS MATERIAL...

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50th International Conference on Computers and Industrial engineering: Sustainable Digital Transformation, CIE 2023

作者： Alshaikh, R. Ahmed, V. Bahroun, Z. Engineering Systems and Management PhD Program College of Engineering American University of Sharjah Sharjah United Arab Emirates Department of Industrial Engineering American University of Sharjah Sharjah United Arab Emirates

ISBN: (纸本)9781713886952

Maritime shipping plays a pivotal role in the global transportation system, providing safety and cost-effectiveness. However, it encounters numerous challenges, including port congestion, delivery delays, complex paperwork, unreliable reports on hazardous materials, and difficulties in tracing containers. To address these issues and mitigate risks associated with the transportation of hazardous goods, researchers have explored the implementation of blockchain technology in the maritime sector. Blockchain offers decentralization, transparency, and auditability of transactions, as well as the ability to trace and track cargo, particularly hazardous materials. Despite its potential, there is limited research available on the practical implementation of blockchain for hazardous material traceability. This research paper aims to investigate the application of blockchain technology in enhancing hazardous material traceability in seaports, contributing to the growing body of knowledge regarding blockchain's potential in this area and providing valuable insights for future research and practical implementations. Moreover, the paper suggests a preliminary framework for an optimized blockchain algorithm for hazardous material traceability. The main findings highlight the significant potential of blockchain technology in improving traceability of hazardous materials in seaports. Real-time tracking and monitoring of hazardous materials from origin to destination can be achieved through blockchain's distributed nature, reducing the risk of data manipulation or fraud. The immutability of blockchain records ensures the integrity and accuracy of critical data related to material composition, handling procedures, and safety certifications. Furthermore, blockchain's decentralized control allows for collaborative traceability in seaports, involving stakeholders such as port authorities, shipping companies, regulatory bodies, and manufacturers. This distributed governance model promote

关键词： Blockchain

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Enterprise Architecture and EA Modelling from systems Theory Perspective 18

Enterprise Architecture and EA Modelling from Systems Theory...

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18th Annual System of systems engineering Conference, SoSe 2023

作者： Javanbakht, Nima Chia, Eng Seng National University of Singapore Department of Industrial Systems Engineering and Management Singapore Singapore

ISBN: (纸本)9798350327236

In today's digital transformation era, technology has become an integral part of enterprises and organizations;this integration can only be efficacious when technology is aligned with business strategies. This business-IT alignment can be achieved via Enterprise Architecture (EA). Previous research extensively studied the benefits of EA adoption, frameworks, and processes, mostly from an information systems perspective. However, not an insignificant number of these frameworks and processes were criticized as being ambiguous, inconsistent, and infeasible to be used in the real world and EA theory construction. Hence, in this work, we will promote the general systems theory perspective to express EA more rigorously, holistically, and consistently. This study contributes to EA understanding by providing the initial grounds for modelling and constructing an EA theory from the systems theory perspective to making EA more conceivable and practical. © 2023 IEEE.

关键词： System theory

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Development of a speech dataset for emotion recognition and analysis 10

Development of a speech dataset for emotion recognition and ...

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10th IEEE Smart World Congress, SWC 2024

作者： Wu, Yi Liu, Haoming Hainan University School of International Communication and Arts Haikou China The Chinese University of Hong Kong Department of Systems Engineering and Engineering Management Hong Kong

ISBN: (纸本)9798331520861

In recent years, with the development of technologies such as signal processing, machine learning, and deep learning, speech emotion recognition has found wide applications in mental health, educational training, and social media analysis. However, current methods for speech emotion recognition mostly rely on data-driven models, and the lack of emotional speech datasets significantly hinders their progress. To address this issue, this paper proposes an emotional speech dataset consisting of 6,447 audio clips for emotion recognition and analysis. The dataset includes five emotional categories: happy, sad, surprised, fearful, and angry. In addition, four speech signal processing algorithms including Fast Fourier Transform (FFT), Short-Time Fourier Transform (STFT), Mel-Frequency Cepstral Coefficients (MFCC), and Continuous Wavelet Transform (CWT) are utilized for feature extraction, resulting in the creation of four emotional feature image datasets. Furthermore, eleven state-of-the-art (SOTA) classification models are selected to establish a benchmark. Experimental results show that most classification models achieve accurate recognition performance on the proposed emotional speech dataset. It is believed that the proposed dataset and benchmark can promote the research and development of emotion recognition and analysis. © 2024 IEEE.

关键词： Wavelet transforms

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Sub-optimal Perceptron Controller Using WOA Algorithm for Farming Watering Mobile Robot

Sub-optimal Perceptron Controller Using WOA Algorithm for Fa...

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2024 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2024

作者： Pastrana, M.A. Oliveira, L.H. Bautista, J. Pinto-Lopera, Jesus Mendoza-Penaloza, Jose Munoz, Daniel M. University of the Amazonia Faculty of Engineering Systems Undergraduate Program Florencia Caquetá Colombia University of Brasilia Mechatronics Graduate Program Department of Mechanical Engineering Brasilia Brazil University of Brasilia Faculty of Gama Electronics Engineering Undergraduate Program Brasilia Brazil

ISBN: (纸本)9798350374575

Artificial neural networks (ANNs) are intricate mathematical models, drawing inspiration from the biological nervous system, and offering intelligence alongside nonparametric capabilities. The efficacy of ANNs heavily relies on their learning process. Heuristic search algorithms have been proposed in literature as reliable options for optimizing neural networks utilizing the Perceptron architecture. This paper presents an suboptimal neural network Perceptron training method employing the Whale Optimization Algorithm for the application of farming watering mobile robots. To achieve this, a fitness function based on system responses such as overshoot, settling Time, and steady-state Error was developed. The sub-optimal Perceptron controller was then implemented using MATLAB, CoppeliaSim software and the EVA robot, resulting in a 66.17% overshoot, a 4.7% steady-state error, and a settling time of 3.05 seconds. Moreover, the sub-optimal Perceptron controller was mapped onto a System on Chip FPGA AMD-Xilinx Zynq 7020, resulting in a hardware resources consumption of 1,870 (3.52%) Lookup table, 2 (0.9%) Digital Signal Processing blocks, 1,019 (0.96%) Flip-Flops and a power consumtion of 0.005 W. Finally, Hardware-in-The-Loop validation was performed using CoppeliaSim, Python, Universal Direct Memory Access, and the EVA robot. The results showed an overshoot of 94.83%, a settling time of 2 seconds, and a steady-state error of 4.5%. © 2024 IEEE.

关键词： MATLAB

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Optimal coordination of Production, Logistics, and Maintenance 4.0: A framework for Multi-Site Stamping Plants 6

Optimal coordination of Production, Logistics, and Maintenan...

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6th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2024

作者： Zerrad, Raoua Diaz, Kamar Mechkouri, Meriem Hayani Sefiani, Naoufal Department of Mechanical Engineering Research Laboratory in Engineering Innovation and Management of Industrial Systems Faculty of Sciences and Techniques Abdelmalek Essaadi University Tangier Morocco Department of Industrial Engineering and Maintenance Computer Engineering Production and Maintenance Laboratory University of Lorraine Metz France

This paper presents a comprehensive framework for optimal coordination of production, logistics, and maintenance in multi-site stamping plants within the context of Industry 4.0. By integrating key technologies such as the Internet of Things, cloud computing and big data analytics, we developed a system that would enable real-time data sharing, predictive analytics, and intelligent decision-making. This framework aims to enhance operational efficiency, reduce downtime, and improve service rate. Additionally, our approach aims to optimize spare parts inventory management across different sites, minimizing inventory costs and lead times by ensuring timely availability and efficient sourcing of spare parts. © 2024 The Authors. Published by Elsevier B.V.

关键词： Inventory control

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A Reliability-Driven Design and Test (ReDDT) methodology for space nuclear power and propulsion systems

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Journal of Space Safety engineering 2025年第1期12卷 53-65页

作者： Thomas, Dr. L. Dale Rawlins, Samantha Raghu, Shreyas Lakshmipuram Aueron, Alexander Department of Industrial & Systems Engineering and Engineering Management The University of Alabama in Huntsville 301 Sparkman Drive Huntsville 35899 AL United States Department of Mechanical and Aerospace Engineering The University of Alabama in Huntsville 301 Sparkman Drive Huntsville 35899 AL United States

The development methodology employed in the United States’ Rover NERVA program is reviewed as the basis for the Reliability-Driven Design and Test (ReDDT) methodology described herein. Postulated as perhaps the first full programmatic implementation of probabilistic design, the NERVA foundational methodology appears to have never been adopted elsewhere following program cancelation. Nevertheless, much of the framework developed during NERVA remains applicable, and the ReDDT approach described in this work is based upon their approach. The ReDDT approach builds on the NERVA method by introducing a qualitative failure mode analysis to identify which tests are most useful and maximize program efficiency. The qualitative analysis is supported by uncertainty analysis, which is applied to identify the drivers of the system's technical uncertainty and thereby drivers of safety and reliability. The ReDDT approach is distinct from existing reliability-based methodologies including Reliability Based Design Optimization (RBDO) and Design for Reliability (DfR) in that ReDDT focuses on concurrent and synergistic system design, integration, and test planning. ReDDT has been developed for NASA's current Space Nuclear Propulsion effort, but it has broader applicability to nuclear power systems and complex aerospace system developments and upgrades in general. The ReDDT methodology has the goal of transforming the relationship of the design effort to the integration and test effort within a system development from one of test-fail-fix to model-test-evaluate. © 2025 International Association for the Advancement of Space Safety

关键词： Integration and test strategy Model based design Reliability informed design Uncertainty analysis

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Object Process Methodology to Turning Focused System Architecture Design for Manufacturing

Object Process Methodology to Turning Focused System Archite...

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IISE Annual Conference and Expo 2024

作者： Dey, Prithbey Raj Enke, David Buchely, Mario Department of Engineering Management and Systems Engineering Missouri University of Science and Technology RollaMO United States Department of Materials Science and Engineering Missouri University of Science and Technology RollaMO United States

ISBN: (纸本)9781713877851

Monitoring and predicting tool wear and surface roughness are considered crucial factors of automation and maximization of the manufacturing process like turning operations. However, nonlinearity and stochasticity in the formation and variation of tool wear contribute to considering turning as a complex system, making it difficult to design a precise prediction model to optimize machining parameters for maximum quality and production. Therefore, it is required to apply a systematic approach to identify the entities and relationships from a system design perspective and learn about the emergents like tool wear, surface roughness, force, etc., derived from the interaction of ‘form’ and ‘function’ during the turning operation. The representation of the instruments (machining parameters) of the process and their impacts on the operand (workpiece) could be worthwhile to explore for the sources of stochasticity. Object Process Methodology (OPM) has been established as an effective and integrated model that can incorporate the form, function, entities, and their relationship into a single model. Through the OPM, the objects, processes, and their relationships for the turning-focused complex system architecture are represented in this research. In consequence, nonlinear theoretical equations have been used to generate synthetic data using Monte Carlo Simulation (MCS) in the system. Finally, a Long Short-Term Memory (LSTM)-based Recurrent Neural Network (RNN) is considered to design a predictive model for the emergent properties. This proposed design of the turning-focused complex system architecture could be useful for the development of system pipelines concerning automation, digital twin technology, and Industry 4.0. © IISE Annual Conference and Expo *** rights reserved.

关键词： Stochastic systems

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