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2023 IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia 2023

作者： Onile, Abiodun E. Belikov, Juri Petlenkov, Eduard Levron, Yoash Tallinn University of Technology Department of Software Science Akadeemia tee 15a Tallinn12618 Estonia Tallinn University of Technology Department of Computer Systems Akadeemia tee 15a Tallinn12618 Estonia Technion - Israel Institute of Technology Faculty of Electrical & Computer Engineering Haifa3200003 Israel

ISBN: (纸本)9798350327748

Electricity consumers often face the challenge of selecting an optimal plan for saving energy. Strategic energy management and monitoring plays a key role in overcoming these challenges. Developments around Industry 5.0 powered smart grid proffers adequate solutions which allows end-consumers to monitor their energy performance towards effecting demand side recommendation services. Specific problems where end-users are likely to ignore recommended advice exists, thereby contributing to widening 'knowledge-action gap'. An ensemble of hybrid digital twins (DT) asset modelling based on ordinary differential equation (ODE) physics engine and data driven recurrent neural network (RNN) prediction approach alongside PageRank based asset behavior scoring algorithm deployed for demand side recommender and generative pre-trained transformers (GPT) based conversational chatbot technology show effectiveness in engaging and extending end-consumers interests in recommended advice. The novelty of the study lies in extending current scope of demand side recommender scheme via conversational chatbot interface for DT of electricity grid assets that better engage and monitors end-user's energy behavior while offering appropriate energy efficiency advice towards achieving energy conservation goals of smart grid consumers. Extensive experiments, including evaluation of end-user studies, revealed the effectiveness of proposed approach in terms of improved recommendation quality and user engagement towards net electricity demand reduction. © 2023 IEEE.

关键词： Energy efficiency

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Applications of Digital Twins for Demand Side Recommendation Scheme with Consumer Comfort Constraints

Applications of Digital Twins for Demand Side Recommendation...

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2023 IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2023

作者： Onile, Abiodun E. Belikov, Juri Petlenkov, Eduard Levron, Yoash Department of Software Science Tallinn University of Technology Akadeemia tee 15a Tallinn12618 Estonia Department of Computer Systems Tallinn University of Technology Akadeemia tee 15a Tallinn12618 Estonia Faculty of Electrical and Computer Engineering Technion—Israel Institute of Technology Haifa3200003 Israel

ISBN: (纸本)9798350396782

The next evolution of traditional energy systems towards smart grid will require end-consumers to actively participate and make informed decisions regarding their energy usage. Industry 4.0 facilitates such progress by allowing more advanced analytics and creating means for end-consumers and distributed grid assets to be modelled as their Digital twins (DT) equivalents, paving the way for asset-level analytics. Note-worthily, consumers’ comfort is crucial towards promotion of easy adoption of such models from consumers’ perspectives. This study presents the application of hybrid DT and multiagent reinforcement learning models for real-time estimation of end-consumers future energy behaviors while generating actionable recommendation feedback for improving their energy efficiency and enhancing end-user comfort. © 2023 IEEE European Union.

关键词： Consumer comfort Demand side recommender system Distributed power systems Hybrid digital twins Industry 5.0

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Influence of Defects on Enhancing Lithium Diffusivity in Crystalline Silicon Anodes for Fast Charging Lithium-Ion Batteries

SSRN

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SSRN 2024年

作者： Zand, Ali Lashani Mani, Azam Jalali, Hossein Kookhaee, Maryam Habibi, Alireza Sanaee, Zeinab Mousavi-Khoshdel, Seyed Morteza School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran14395-515 Iran Department of Engineering Science College of Engineering University of Tehran Iran Industrial Electrochemistry Research Laboratory Faculty of Chemistry Iran University of Science and Technology Tehran*** Iran

The growing energy storage market requires safe and stable high-capacity cycling, silicon (Si) anodes are ideal for this purpose. Electrochemical reactions between Si anodes and lithium pose challenges due to the significant volumetric expansion during lithiation. Expansion material can cause cracks in the structure and result in disconnection from the current collector. Si anodes exhibit a variety array of phenomena, such as amorphization and crystallization upon full lithiation, with variations depending on crystal orientations. It is evident that Lithium ions (Li+) diffusion varies across different Si crystalline surfaces and arrangements. It is possible to improve ion mobility and reduce diffusion barriers through strategic design and the use of complementary materials. First principles simulations can provide fundamental insights into atomic interactions, offering a realistic atomistic representation of lithiation processes. Our simulations involve the step-by-step insertion of Li+ into Si orientations and Si with N vacancies. Atomic imaging of Si (110) doped with N vacancies reveals a more favorable behavior in ionic diffusion. Our results explain the ternary Si-Li-N electrode materials and the identification of optimal site disorders to maximize the rate of Li+ diffusion in crystalline Si anodes. © 2024, The Authors. All rights reserved.

关键词： Lithium-ion batteries

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Optimal Black-Start Restoration Assisted by Mobile Energy Storage

Optimal Black-Start Restoration Assisted by Mobile Energy St...

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2022 IEEE Power and Energy Society General Meeting, PESGM 2022

作者： Yip, Joshua Garcia, Manuel Pierre, Brian Kutanoglu, Erhan Santoso, Surya The University of Texas at Austin Electrical and Computer Engineering AustinTX United States Electric Power Systems Research Sandia National Laboratories AlbuquerqueNM United States Operations Research and Industrial Engineering The University of Texas at Austin AustinTX United States

ISBN: (数字)9781665408233

ISBN: (纸本)9781665408233

This paper studies a novel mixed-integer linear programming (MILP) formulation on the application of mobile energy storage (MES) to assist with black-start restoration following the full blackout of an electrical network. By synthesizing techniques in the literature to model generator black start and MES activity, the formulation is the first to integrate the two concepts. Furthermore, it recognizes that the manner in which MES facilitates black-start (BS) restoration may differ depending on what component damages occurred during the event that induced the blackout. Within the IEEE 14-Bus System, testing of the formulation has not only confirmed its efficacy but also underscored circumstances where BS restoration could especially benefit from MES intervention in practice. With an MES sized at 2.59% of total MW generation capacity, in certain damage configuration categories the median load energy unserved is reduced by as much as 45.52 MWh (8.26%), and the median final load supplied is raised by as much as 22.98 MW (10.39%). © 2022 IEEE.

关键词： Outages

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Emerging Role of Industry 5.0 Digital Twins in Demand Response Electricity Market and Applications

Emerging Role of Industry 5.0 Digital Twins in Demand Respon...

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2023 IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2023

ISBN: (纸本)9798350396782

Traditional power system is facing challenges demanding new operational requirements to meet targets of Net Zero Emissions by 2050. Aggregators are playing progressively important role in the demand response (DR) electricity market but are often riddled with deep level of market monopoly and lack of transparency/secrecy. Emerging real-time information technology (IT) applications and novel modelling of digital twins (DT) of individual electricity assets are challenging this position by promising improvements and openness that allows TSO direct access to available demand side flexibility. Additionally, DT technologies are facilitating how demand response services are delivered to end-users by allowing individual assets participation at the atomic level. In this study, the application potentials of assets’ DT in participating in the demand response electricity market was examined. Again, an overview of DT applications for DR was conducted. The novelty of this study is highlighted in development of new approach that facilitates individual end-user assets’ contribution to demand response efforts. The research identifies key useful questions that might serve as inspiration for stakeholders and policy-makers to further close existing gaps in the field of DT, smart-grid and demand response. © 2023 European Union.

关键词： Aggregators demand response digital twins Industry 5.0 smart-grid

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Fast convergent on-board Li-ion battery state of charge estimation via back-forth moving horizon estimation

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IEEE Transactions on Power Electronics 2025年第9期40卷 13187-13201页

作者： Liu, Zhihao Xiao, Yu Yuan, Yuan Xu, Xiaodong Luo, Biao Huang, Tingwen Ministry of Education School of Automation and Key Laboratory of Industrial Intelligence and Systems Central South University Changsha410083 China Shenzhen University of Advanced Technology Faculty of Computer Science and Control Engineering Shenzhen China

Accurate state of charge (SOC) estimation is crucial for the safe operation of lithium-ion batteries (LIBs), yet existing methods are limited by sensitivity to initial SOC guess or high computational complexity. To address these challenges, this study proposes an onboard back-forth moving horizon estimation (BFMHE) framework for SOC estimation, achieving high precision, robustness, and computational efficiency compatible with microcontroller implementation. An efficient linear equivalent circuit model (ECM) is established, where the open-circuit voltage-SOC relationship is approximated by piecewise linear functions. The proposed framework employs two MHE estimators that iteratively operate in opposite directions over a finite time horizon, which enables rapid convergence. Moreover, this study provides a rigorous proof of the stability of the BFMHE method for the battery system with current input. The proposed approach is validated experimentally under various operating conditions and with different initial SOC guesses. Experimental results show that the proposed onboard BFMHE method achieves a maximum estimation error of less than 1% and quickly converges to the true SOC value, demonstrating strong robustness to initial estimation errors. © 1986-2012 IEEE.

关键词： Lithium-ion batteries

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Towards Integrating Physiological Data in UI/UX Design Learning and engineering Education

Towards Integrating Physiological Data in UI/UX Design Learn...

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International Conference on Communications and Electronics, ICCE

作者： Montri Phothisonothai Korawit Orkphol Natthapon Pannurat Apirath Limmanee Warayost Lamaisri Chaowat Euafua Department of Computer Engineering Faculty of Engineering at Sriracha Kasetsart University Sriracha Chonburi Thailand School of Industrial Education and Technology King Mongkut’s Institute of Technology Ladkrabang Bangkok Thailand Faculty of Economics at Sriracha Kasetsart University Sriracha Chonburi Thailand Department of Electrical Engineering Faculty of Engineering Burapha University Chonburi Thailand

ISBN: (数字)9798350379792

ISBN: (纸本)9798350379808

This paper introduces an educational framework for incorporating physiological data into engineering classroom activities to enrich the learning process of User Interface/User eXperience (UI/UX) design. Informed by Bloom’s Taxonomy and well-established software engineering design principles, this approach incorporates a variety of key advanced physiological technologies–including eye tracking, palm and fingers movements, brain wave monitoring, muscle movement, and virtual reality–into project-based learning (PBL) scenarios within human-machine interaction (HMI) design. We have analyzed six PBL initiatives in UI/UX design to evaluate the effectiveness of this method. Our findings suggest a transformative shift in engineering education, promoting a more cohesive, data-driven methodology in teaching and learning not only deepens understanding but also stimulates innovation in the field of UI/UX design, particularly within the context of HMIs.

关键词： Knowledge engineering Technological innovation Navigation Taxonomy Muscles Biomedical monitoring engineering education

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Repairing Schemes for Tamo-Barg Codes

Repairing Schemes for Tamo-Barg Codes

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IEEE International Symposium on Information Theory

作者： Han Cai Ying Miao Moshe Schwartz Xiaohu Tang School of Information Science and Technology Southwest Jiaotong University Chengdu China Faculty of Engineering Information and Systems University of Tsukuba Tsukuba Japan Department of Electrical and Computer Engineering McMaster University Hamilton Ontario Canada School of Electrical and Computer Engineering Ben-Gurion University of the Negev Beer Sheva Israel

ISBN: (数字)9798350382846

ISBN: (纸本)9798350382853

We study the problem of repairing erasures in locally repairable codes beyond the code locality under the rack-aware model. We devise two repair schemes to reduce the repair bandwidth for Tamo-Barg codes under the rack-aware model, by setting each repair set as a rack. The first repair scheme provides optimal repair bandwidth for one rack erasure. We then establish a cut-set bound for locally repairable codes under the rack-aware model. Using this bound we show that our second repair scheme is optimal. Furthermore, we consider the partial-repair problem for locally repairable codes under the rack-aware model, and introduce both repair schemes and bounds for this scenario.

关键词： Codes Bandwidth Maintenance engineering

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Anomaly Detection Based on Principle of Justifiable Granularity and Probability Density Estimation

Anomaly Detection Based on Principle of Justifiable Granular...

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2023 China Automation Congress, CAC 2023

作者： Du, Sheng Ma, Xian Li, Xiang Wu, Min Cao, Weihua Pedrycz, Witold School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6G 2R3 Canada Systems Research Institute Polish Academy of Sciences Warsaw00-901 Poland Istinye University Faculty of Engineering and Natural Sciences Department of Computer Engineering Istanbul Sariyer Turkey

ISBN: (纸本)9798350303759

Anomaly detection is essential to ensure the safety of industrial processes. This paper presents an anomaly detection approach based on the probability density estimation and principle of justifiable granularity. First, time series data are transformed into a two-dimensional information granule by the principle of justifiable granularity. Then, the test statistic is constructed, and the probability density and cumulative distribution functions of the test statistic are calculated. Next, the confidence level determines the test threshold. Finally, the time series data of a key parameter in the sintering process is used as a case study. The experimental result demonstrates that the proposed approach can detect abnormal time series data effectively, providing an accurate and effective solution for detecting time series anomalies in industrial processes. © 2023 IEEE.

关键词： Time series

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Control of the Lateral and Longitudinal Dynamics of UAV Quadcopter 19

Control of the Lateral and Longitudinal Dynamics of UAV Quad...

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19th IEEE International Multi-Conference on systems, Signals and Devices, SSD 2022

作者： Zamoum, Yasmine Baiche, Karim Benkada, Khaled Mohammed Rahou, Mohammed Boushaki, Prof. Razika Kouzou, Prof. Abdellah Systems and Telecommunications Engineering University of Mhamed Bougara Boumerdes Algeria Institute of Electrical and Electronic Engineering University of Mhamed Bougara Boumerdes Algeria Applied Automatics and Signal Processing Laboratory Institute of Electrical and Electronic Engineering University of Mhamed Bougara Boumerdes Algeria Applied Automation and Industrial Diagnostics Laboratory Laadi Faculty of Science and Technology University of Djelfa Algeria

ISBN: (数字)9781665471084

ISBN: (纸本)9781665471084

The research Unmanned Aerial Vehicles (UAV) has been considerably advanced. This work is interested principally in dynamic modeling of the four rotor mini aircraft named as a quadrotor. The dynamical model is obtained by Newton-Euler methodology. The robust controller is designed and simulated using a linear and nonlinear control techniques. Proportional Derivative Control and the Backstepping algorithm methods have been implemented in MATLAB/SIMULINK. © 2022 IEEE.

关键词： Controllers

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