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European Conference on power Electronics and Applications

作者： Majid Ali Meisam Rajabnia Juan C. Vasquez Josep M. Guerrero Yajuan Guan Abdullah M. Abusorrah Center for Research on Microgrids (CROM) AAU Energy Aalborg University Aalborg Denmark Department of Electrical and Computer Engineering Center of Research Excellence in Renewable Energy and Power Systems Faculty of Engineering K. A. CARE Energy Research and Innovation Center King Abdulaziz University Jeddah Saudi Arabia

Natural Disasters (NDs), such as tsunamis, floods, and earthquakes, may cause damage to the transmission and distribution infrastructures as well as communication systems. In these situations, generators may even be intentionally shut down for security reasons. The result is a major power outage or a blackout, which may disrupt industrial production, disturb commercial and household activities and imperil human lives. Contrary to large-scale power systems, Micro Grids (MGs) may offer a higher resilience to NDs because of their compact sizes, manageable loads, and constrained bounds. Such an MG may include Photo-Voltaic (PV) system, Battery Energy Storage (BES) system, winds turbine, diesel generators, and local electric loads. It operates in grid-connected in normal conditions, and in islanded mode during NDs, ensuring that no disruption in the supply of critical loads happens. The main objective of this article is to study the planning of Community MG (CMG) for hospital loads to ensure high resilience against NDs. Hospital loads in the Northwest Lombok region of Indonesia are considered as the case study. The goal is to achieve three days of uninterruptible power supply during NDs. HOMER Grid carries out the simulation research. According to the results, the planned CMG could provide the necessary hospital load during the intended time period without any interruptions.

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AI-based Flexible Online Laboratory Learning System for Post-COVID-19 Era: Requirements and Design

AI-based Flexible Online Laboratory Learning System for Post...

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2021 International Mobile, Intelligent, and Ubiquitous Computing Conference, MIUCC 2021

作者： Elmesalawy, Mahmoud M. Atia, Ayman Yousef, Ahmed Mohamed Fahmy El-Haleem, Ahmed M. Abd Anany, Mohamed G. Elmosilhy, Noha A. Salama, Abdullah I. Hamdy, Alaa Zoghby, Helmy M. El Din, Eman Serag El Helwan University Faculty of Engineering Electronics and Communications Engineering Department Cairo Egypt Helwan University HCI-LAB Faculty of Computers and Artificial Intelligent Computer Science Department Cairo Egypt Giza Egypt Fayoum University Faculty of Specific Education Education Technology Department Fayoum Egypt Electronics and Communications Engineering Department Cairo Egypt Helwan University Faculty of Engineering Computer and Systems Engineering Department Cairo Egypt Misr International University Faculty of Computer Science Cairo Egypt Helwan University Faculty of Engineering Electrical Power and Machines Engineering Department Cairo Egypt Network Planning Department Cairo Egypt

ISBN: (纸本)9781665412438

The worldwide outbreak due to COVID-19 pandemic has led to a great interest in e-learning. However, the lack of suitable online laboratory management systems has posed a particular challenge for sectors that need laboratory activities such as engineering, science and technology. In this paper, the requirements and design for a flexible AI-based laboratory learning system (LLS) that can support online laboratory experimentations are presented. The elicitation of the LLS design requirements is decided based on a conducted survey for a set of LLS features. The LLS is designed with the flexibility to support various types of online experimentations such as virtual or remote controlled experiments using either desktop or web applications. The virtualization technique is used to manage the laboratory resources and allow multiple users to access the LLS. Moreover, the proposed LLS introduces the use of AI techniques to provide efficient virtual lab assistant and adaptive assessment process. © 2021 IEEE.

关键词： COVID-19

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A cloud-based service-oriented architecture to unlock smart energy services

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Energy Informatics 2021年第1期4卷 1-20页

作者： Haghgoo, Maliheh Dognini, Alberto Storek, Thomas Plamanescu, Radu Rahe, Ulrike Gheorghe, Stefan Albu, Mihaela Monti, Antonello Müller, Dirk E.ON Energy Research Center Institute for Automation of Complex Power Systems RWTH Aachen University Aachen Germany E.ON Energy Research Center Institute for Energy Efficient Building and Indoor RWTH Aachen University Aachen Germany Electrical Engineering Faculty Politehnica University of Bucharest Bucharest Romania Department of Architecture and Civil Engineering Chalmers University Göteborg Sweden Energobit Cluj-Napoca Romania

In a modern smart energy system with increased penetration of renewable energy resources, the amount of data from various sources is growing significantly. Such systems require complex algorithms and controlling on-demand. These requirements can be addressed with on-demand scalability and a stable system. Nowadays, on-demand scalability is achieved by considering cloud computing and Internet of Things (IoT) technologies. This paper presents a cloud-based platform based on service-oriented architecture to perform analyzes on smart energy system services. It is the result of the European FISMEP (FIWARE for Smart Energy Platform) project to demonstrate an information and communication technology (ICT) architecture for the smart energy sector. The presented architecture is powered by FIWARE, open-source and customizable building blocks for future internet applications and services. Furthermore, the feasibility of the architecture is evaluated using various test cases. © 2021, The Author(s).

关键词： Scalability

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A Simple Technique to Identify the A0 and S0 Modes of Lamb Waves in Different Frequency Ranges

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SSRN 2023年

作者： Draudvilienė, Lina Raišutis, Renaldas Mažeika, Liudas Prof. K. Barsauskas Ultrasound Research Institute Kaunas University of Technology K. Barsausko St. 59 KaunasLT-51423 Lithuania Department of Electrical Power Systems Faculty of Electrical and Electronics Engineering Kaunas University of Technology Studentų st. 48 KaunasLT-51367 Lithuania

A simple technique based on the distribution of higher and lower-frequency components in different parts of the signals is proposed to be used for the identification of the A0 and S0 modes in different frequency ranges. The regularities and parameters influencing the distribution and redistribution of higher and lower-frequency components in different parts of the signal are determined and presented. The theoretical studies from 300 kHz up to 800 kHz frequency ranges using the A0 mode signals propagating in the aluminium plate demonstrated that the group velocity changes affect the redistribution of different frequency components in the signal. The obtained results showed that in the frequency ranges where the group velocity has a decreasing trend, the frequency components are distributed similarly in the parts of the signals for both, A0 and S0 modes. It was determined that in such cases, the phase velocity should be used as an additional parameter for the identification of the A0 and S0 modes. The experimental studies using the signals of the A0 and S0 modes propagating in aluminium plate and composite Glass Fibre Reinforce Plate confirmed the established regularities. © 2023, The Authors. All rights reserved.

关键词： Surface waves

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Fault-tolerant Mobile Service Offloading in Mobile Edge Computing

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IEEE Transactions on Automation Science and engineering 2025年

作者： Long, Tingyan Xia, Yunni Zhou, Mengchu Li, Jianqi Ma, Yong Ai-Turki, Yusuf Guizhou University School of Computer Science and Technology Guiyang550025 China Chongqing University College of Computer Science Chongqing400030 China New Jersey Institute of Technology Department of Electrical and Computer Engineering NewarkNJ07102 United States Global energy interconnection research institute Co. Ltd Beijing102209 China Jiangxi Normal University School of Computer and Information Engineering Nanchang China King Abdulaziz University K. A. Care Energy Research and Innovation Center The Center of Research Excellence in Renewable Energy and Power Systems Department of Electrical and Computer Engineering Faculty of Engineering Jeddah21589 Saudi Arabia

Mobile edge computing (MEC) is an evolving paradigm for rendering services through network-accessible resources deployed over Internet of Things (IoT) nodes at the edge. Nevertheless, an MEC environment usually employs thousands of physical machines connected via hundreds of switches/routers that communicate and coordinate to deliver computing service. In such complicated systems, faults caused by software, human errors, and hardware are often unavoidable. The edge of network presents a dynamic environment with great quantities of terminals, high mobility of mobile devices, heterogeneous applications, and intermittent traffic. In such an environment, MEC can suffer from unbalanced resource provisioning and interruptions of faults occurring at different levels, which further causes task faults and affects service quality. To address this challenge, this work proposes a novel fault-tolerant offloading method for handling faults by leveraging a reinforcement-learning-based service offloading decision model. The model synthesizes a Dueling Deep Q Network (DQN)-based algorithm for deciding user offloading behaviors and an adaptive checkpointing method for improving task execution reliability. For the purpose of model validation and comparison, extensive simulations are conducted. Numerical results clearly demonstrate that the proposed method is highly effective and outperforms existing methods. © 2004-2012 IEEE.

关键词： Mobile applications

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Modified Carrier-Based SPWM Technique for Zero Sequence Circulating Current Elimination in Parallel Inverters

Modified Carrier-Based SPWM Technique for Zero Sequence Circ...

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Advanced Technology in Electronic and electrical engineering (ICATEEE), International Conference of

作者： Ala Addin Mohammed Al-Dwa Chebabhi Ali Choudar Adel Barkat Said Fellah Mohammed Karim Department of Electrical Engineering Electrical Engineering Laboratory University of M’sila M’sila Algeria LPMRN Laboratory Faculty of Sciences and Technology University of Bordj Bou Arreridj Bordj Bou Arreridj Algeria Intelligent Control & Electrical Power Systems Laboratory University of Djillali Liabes Sidi Bel-Abbes Algeria

For medium and high-power renewable energy applications, parallel four-leg inverters are highly recommended to increase the power capability, power rating, and the efficiency of the system. However, a zero-sequence circulating current (ZSCC) will be generated by the difference between the zero sequence voltages (ZSVs) due to unequal output currents and filter inductors, as well as other factors such as different switching frequencies and dead times when the inverters are connected in parallel via common DC and AC buses. The ZSCC will seriously distort the output currents and degrade the control performance and the dynamic response of the overall parallel system. This paper suggests a modified carrier-based SPWM to suppress the ZSCC by eliminating the difference between ZSVs through the adjustment of modulation voltages of the modified carrier-based SPWM. The proposed ZSCC suppression method can successfully achieve the ZSCC suppression even when the parallel four-leg inverters system has unbalanced output current sharing and filter inductances. The simulation results based on the parallel four-leg inverters distinctly confirm the effectiveness of the suggested ZSCC suppression method.

关键词： electrical engineering Renewable energy sources Simulation Switching frequency power quality Modulation Inverters

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Optimal power Control Based-Metaheuristic Algorithm Based Variable Speed Wind Energy System of DFIG

Optimal Power Control Based-Metaheuristic Algorithm Based Va...

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International Smart Grid Workshop and Certificate Program (ISGWCP)

作者： Boussaid Ibrahim Harrouz Abdelkader Merahi Farid Ibrahim Yaichi Ilhami Colak Korhan Kayisli Virgil Dumbrava Electrical Engineering Department Laboratory of sustainable development and computer science (LDDI) University of Adrar Adrar Algeria Laboratory of sustainable development and computer science (LDDI) University of Adrar Adrar Algeria Electrical Engineering Department Automatic Laboratory of Setif University of Ferhat Abbas Setif1 Setif Algeria Department of Electrical Electronics Eng. Faculty of Engineering Architecture Nisantasi University Istanbul Turkey Department of Electric Power Systems Polytechnic University of Bucharest Bucharest Romania

This article presents a novel method for controlling a doubly fed induction generator (DFIG) wind energy system in the presence of variable wind speeds. In order to achieve decoupling control of the active and reactive power, the rotor-side converter (RSC) of the DFIG is controlled using field-oriented control (FOC). The system is very complicated and nonlinear, making it challenging to adjust the PI gains appropriately. The present research proposes the utilization of the Grey Wolf Optimization (GWO) algorithm as an approach to optimize the gains of a Proportional-Integral (PI) regulator. The simulation results demonstrate that the GWO-PI provides a lower criterion value and an improved response than the conventional PI.

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Multi-Objective Optimal Component Capacity and MPC-based Optimal Scheduling in Smart Apartment Building

Multi-Objective Optimal Component Capacity and MPC-based Opt...

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On-Line Conference (ONCON), Industrial Electronics Society Annual

作者： Kanato Tamashiro Narayanan Krishnan Ashraf Mohamed Hemeida Eitaro Omine Hiroshi Takahashi Tomonobu Senjyu Electrical and Electronics Engineering University of the Ryukyus Okinawa Japan Electrical and Electronics Engineering SASTRA Deemed University Thanjavur India Faculty of Energy Engineering Aswan University Aswan Egypt Central Research Institute of Electric Power Industry Tokyo Japan Fuji electric Co. Ltd. Tokyo Japan Electrical and Systems Engineering University of the Ryukyus Okinawa Japan

In this study, we propose an optimization algorithm that achieves both optimal component capacity and high effi-ciency operation of a Smart Apartment Building (SAB). Multi-objective optimization is used to optimize component capacity, with the goal of minimizing the total cost and carbon footprint of the SAB. A Pareto front is then gener-ated to present flexibility to the SAB operator. For high efficiency operations, a Model Predictive Control (MPC)-based optimal scheduling method is used. This method can achieve higher operational efficiency than conventional methods by taking future data into account. Furthermore, it avoids over-integration of components by evaluating component capacities determined by a multi-objective optimization problem. As a result, compared to the base case, the MPC algorithm reduces operation costs by 73.0% and carbon emissions by 49.0%.

关键词： Industrial electronics Costs Uncertainty Buildings Optimal scheduling Carbon dioxide Predictive models

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Integration of Renewable Energy Sources in Energy systems: Management, Security and Sustainability

Integration of Renewable Energy Sources in Energy Systems: M...

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International Conference on ENERGY and ENVIRONMENT (CIEM)

作者： Cristian Gorea Dragoş-Lucian Chiorean Ilie Vlasa Ion Triştiu Dorin Bicǎ Department of Electrical National University of Science and Technology POLITEHNICA Bucharest Romania Distributie Energie Electrică Romania S.A. Cluj-Napoca jud. Cluj Department of Electrical Power Systems National University of Science and Technology POLITEHNICA Bucharest Romania Department of Electrical Engineering and Information Technology Faculty of Engineering and Information Technology “George Emil Palade” University of Medicine Pharmacy Science Technology Târgu Mureş Romania

This paper addresses the issues related to the integration of renewable energy sources into energy systems, focusing on management, security and sustainability. A significant transition to cleaner and renewable energy sources is essential to address the challenges of climate change and to ensure a long-term sustainable energy source. The paper analyzes the technological solutions and management strategies that facilitate the successful integration of renewable energy sources into the energy infrastructure by tracking the voltage behavior at the common connection point.

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Optimal Placement Allocation and Capacities of Storage Batteries in Future Grid

Optimal Placement Allocation and Capacities of Storage Batte...

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On-Line Conference (ONCON), Industrial Electronics Society Annual

作者： Yuya Tanigawa Narayanan Krishnan Ashraf Mohamed Hemeida Eitaro Omine Hiroshi Takahashi Tomonobu Senjyu Electrical and Electronics Engineering University of the Ryukyus Okinawa Japan Electrical and Electronics Engineering SASTRA Deemed University Thanjavur India Faculty of Energy Engineering Aswan University Aswan Egypt Central Research Institute of Electric Power Industry Tokyo Japan Fuji electric Co. Ltd. Tokyo Japan Electrical and Systems Engineering University of the Ryukyus Okinawa Japan

In recent years, countries have enacted CO2 reduction targets due to the progression of global warming. Therefore, in the field of electric power systems, power generation from renewable energy sources that do not emit CO2 through non-fossil fuel power generation is attracting attention. In particular, PV (Photovoltaic) is expected to see an increase in the amount of PV installed from the viewpoint that it can be introduced into ordinary households, but there is a possibility that a duck curve phenomenon will occur due to the mass introduction of PV. In order to cope with the duck curve phenomenon, PV power generation is being curbed and energy storage facilities are being installed, but PV curtailment needs to be carefully considered from the perspective of energy use. Therefore, this paper proposes Unit Commitment to determine the optimal however bar and capacity of storage batteries in the grid in 2030. This proposal enables simulations with reduced operating costs and PV suppression by determining the optimal installation bus bar and optimal capacity of storage batteries in a grid with increased renewable energy generation.

关键词： Photovoltaic systems Industrial electronics Renewable energy sources Costs Batteries power systems Resource management

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