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15th IFAC Conference on Control Applications in Marine systems, Robotics and Vehicles, CAMS 2024

作者： Obradović, Juraj Fabijanić, Matej Batoš, Matko Mišković, Nikola Faculty of Electrical Engineering and Computing University of Zagreb Department LABUST Laboratory for Underwater Systems and Technologies Unska 3 Zagreb Croatia

Providing accurate information about all objects in the environment surrounding an autonomous vehicle is essential for the development of a maritime navigation system used on board autonomous and unmanned vessels. In this paper, we introduce a method that integrates LiDAR and camera data for precise 3D object detection and tracking. The approach utilizes LiDAR for acquiring object position information and ensures accurate object classification through data from the camera. The proposed architecture is presented with a detailed explanation of all algorithms used. Several scenarios have been created in a simulated environment to compare three approaches for the selection of target object in the camera frustum (the Nearest Center, Gaussian Likelihood, and Intersection-Over-Union). Finally, the full algorithm setup is tested in a simulator environment with multiple vessels and a background coast. © 2024 Elsevier B.V.. All rights reserved.

关键词： Marine navigation

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Low Inertia in Ac Microgrid: Analysis and Enhancement 6

Low Inertia in Ac Microgrid: Analysis and Enhancement

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6th International Youth Conference on Radio Electronics, electrical and power engineering, REEPE 2024

作者： Emad, Mazen Alhasheem, Mohamed Beshr, Eman Medical Services Sector Ministry of Interior Electrical Power Systems Department Cairo Egypt Aastmt Faculty of Engineering and Technology Electrical and Control Department Cairo Egypt

ISBN: (纸本)9798350382891

This research looks into electrical grids that will soon likely become more intelligent. In light of this, there is a growing need for intelligent, adaptable microgrids that can function both independently and in conjunction with the grid. Black start operation, frequency and voltage stability, active and reactive power flow regulation, active power filtering capabilities, and storage energy management are the features that these small grids are expected to have. Energy can be produced and stored in this way near its points of consumption, improving reliability and lowering losses from big power lines. The key ideas about intelligent microgrid configuration, control, and energy management are reviewed in this study. Attributes-wise, the microgrid can function by utilizing the following three primary hierarchical control levels, just like the main grid.: Primary control on the converter level, Secondary control to adjust the frequency and voltage of the AC grid, and Third-level control over additional global duties determine whether energy is imported or exported for the microgrid. when connected to the main utilities. Advancing one of the above-mentioned control levels or redesigning the microgrid can enhance the stand-alone ac microgrid inertia. © 2024 IEEE.

关键词： Smart power grids

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SPD Miscoordination in PV systems Due to Lightning Strikes 16

SPD Miscoordination in PV Systems Due to Lightning Strikes

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16th International Conference on Applied and Theoretical Electricity, ICATE 2024

作者： Baluja, Osmel Perez Leon Avila, Bernardo Yaser Garcia Vazquez, Carlos A. Cotfas, Daniel Tudor Cotfas, Petru Adrian Breffe, Orlys E. Torres Transilvania University of Braşov Faculty of Electrical Engineering and Computer Science Department of Electronics and Computers Brasov Romania Technological University of Havana Department of Electric Power Systems Faculty of Electrical Engineering Havana Cuba

ISBN: (纸本)9798350388107

This study deals with the coordination of surge protection devices (SPD) in photovoltaic systems (PV). A PV farm model was developed in MATLAB Simulink with all the main components, solar panels, converter, grounding system, power transformer, cables in the DC and AC branches with their capacitances, and surge protection device throughout the installation. It was found that when lightning strikes the grounding system or in the vicinity of the PV installation, the coordination among SPD types 1, 2, and 3 is lost. Miscoordination can cause damage to several elements of the PV system, mainly the inverters. Finally, solutions were proposed to avoid SPD miscoordination during lightning strikes. © 2024 IEEE.

关键词： DC transformers

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Towards Accurate RPM Detection Using Primary Ignition Pulses 49

Towards Accurate RPM Detection Using Primary Ignition Pulses

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Wijayaraja, Jaliya L. Abhayasinghe, Nimsiri Wellalage, Sasini Sliit Faculty of Computing Department of Computer Systems Engineering Malabe Sri Lanka Sliit Faculty of Engineering Department of Electrical and Electronic Engineering Malabe Sri Lanka

ISBN: (纸本)9798350331820

Enhancing the performance and extending the life-cycle of older vehicles through retrofitting with improved systems presents an alluring opportunity. However, achieving accurate sensing of crucial parameters, such as engine revolutions per minute (RPM), poses challenges due to the need for mechanical manipulation and some designs, which may result in diminished accuracy in adverse settings. This study proposes using the primary ignition pulse signal to accurately determine engine speed without mechanical manipulation. We investigate the effectiveness of signal processing methods, including the RC filter, 2nd and 6th order Butterworth filter, to improve the accuracy of the readings. Our proposed method successfully collects data from conventional internal combustion engines, with simulated signal processing methods producing accurate detection of RPM and reduced fluctuations. The proposed method eliminated the noise, leading to accurate RPM measurements, while the maximum standard deviation observed for the RC filter implementation was 38.74. By accurately sensing key parameters, older vehicles can be retrofitted with improved systems, leading to enhanced performance and an extended lifecycle. The introduced methods can be practically implemented using custom electronics or embedded systems and can contribute to future research on automotive retrofitting. © 2023 IEEE.

关键词： Life cycle

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Transaction transmission model for blockchain channels based on non-cooperative games

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Science China(Information Sciences) 2023年第1期66卷 97-114页

作者： Peiyun ZHANG Chenxi LI Mengchu ZHOU Wenjun HUANG Abdullah ABUSORRAH Omaimah O.BAMASAG Engineering Research Center of Digital Forensics of Ministry of Education School of Computer and SoftwareNanjing University of Information Science and Technology School of Computer and Information Anhui Normal University Department of Electrical and Computer Engineering New Jersey Institute of Technology Center of Research Excellence in Renewable Energy and Power Systems Department of Electrical and Computer Engineering Faculty of Engineering and K.A.CARE Energy Research and Innovation CenterKing Abdulaziz University Department of Computer Science Faculty of Computing and Information Technology Center of Excellence in Smart Environment Research King Abdulaziz University

In blockchain networks, transactions can be transmitted through channels. The existing transmission methods depend on their routing information. If a node randomly chooses a channel to transmit a transaction, the transmission may be aborted due to insufficient funds(also called balance) or a low transmission rate. To increase the success rate and reduce transmission delay across all transactions, this work proposes a transaction transmission model for blockchain channels based on non-cooperative game *** balance, channel states, and transmission probability are fully considered. This work then presents an optimized channel transaction transmission algorithm. First, channel balances are analyzed and suitable channels are selected if their balance is sufficient. Second, a Nash equilibrium point is found by using an iterative sub-gradient method and its related channels are then used to transmit transactions. The proposed method is compared with two state-of-the-art approaches: Silent Whispers and Speedy Murmurs. Experimental results show that the proposed method improves transmission success rate, reduces transmission delay,and effectively decreases transmission overhead in comparison with its two competitive peers.

关键词： Blockchain channel transaction transmission channel balance channel state channel transmission probability non-cooperative game

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A Generation Expansion Planning using the PSO-GA algorithm to Reduce Carbon Emissions

A Generation Expansion Planning using the PSO-GA algorithm t...

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2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024

作者： Zadehbagheri, Mahmoud Kuzle, Igor Islamic Azad University Yasuj Branch Department of Electrical Engineering Yasuj*** Iran University of Zagreb Faculty of Electrical Department of Energy and Power Systems Zagreb10000 Croatia

ISBN: (纸本)9789531842976

Generation expansion planning (GEP) is a part of network development planning in which the goal is to determine the characteristics of new power plants that are used to develop the existing productive system. In this article, reducing the number of greenhouse gases in the power system is considered in the long-term planning horizon. In addition, much effort has been made to minimize production costs and maximize power plant profits. According to the results obtained in this paper, the following points can be deduced: Oil power plants are beneficial in both scenarios. For this reason, in both cases, many of these power plants enter the circuit. In the 12-year planning horizon, many liquified natural gas (LNG) power plants have entered the circuit. Nuclear power plants have a large capacity. Also, the maintenance cost of these power plants is low, that's why these power plants are used at the beginning of planning. In the second scenario, fewer LNG power plants are built due to a high tax on LNG plants. Reducing the number of power plants reduces the amount of carbon produced. © 2024 IEEE.

关键词： Carbon capture and utilization

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Three-Phase SRF PLL Model for System Frequency Response Studies in Low-Inertia systems 11

Three-Phase SRF PLL Model for System Frequency Response Stud...

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11th International Conference on Innovative Smart Grid Technologies - Asia, ISGT-Asia 2022

作者： Krpan, Matej Erceg, Igor Kuzle, Igor Pandžić, Hrvoje University of Zagreb Faculty of Electrical Engineering and Computing Department of Energy and Power Systems Zagreb Croatia Department of Electric Machines Drives and Automation Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia

ISBN: (纸本)9798350399660

This paper derives a small-signal model of a three-phase synchronous reference frame phase-locked loop for use in system frequency response studies assuming a system of balanced three-phase voltages. The small-signal model is described by a second-order transfer function which relates the actual to the estimated grid frequency. The small-signal model behaves identically to the large-signal model for small disturbances. Simulation results demonstrate that phase-locked loop dynamics can be neglected in the high-inertia scenarios, while in the low-inertia scenarios they have a significant impact on the grid frequency and should be included in models. © 2022 IEEE.

关键词： Phase locked loops

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A MLP-Mixer and mixture of expert model for remaining useful life prediction of lithium-ion batteries

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Frontiers of Computer Science 2024年第5期18卷 1-10页

作者： Lingling ZHAO Shitao SONG Pengyan WANG Chunyu WANG Junjie WANG Maozu GUO Faculty of Computing Harbin Institute of TechnologyHarbin 150001China School of Electrical Engineering Liaoning University of TechnologyJinzhou 121004China School of Computer Science Northeast Electric Power UniversityJilin 132000China Department of Medical Informatics School of Biomedical Engineering and InformaticsNanjing Medical UniversityNanjing 211166China School of Electrical and Information Engineering Beijing University of Civil Engineering and ArchitectureBeijing 100044China

Accurately predicting the Remaining Useful Life(RUL)of lithium-ion batteries is crucial for battery management *** learning-based methods have been shown to be effective in predicting RUL by leveraging battery capacity time series ***,the representation learning of features such as long-distance sequence dependencies and mutations in capacity time series still needs to be *** address this challenge,this paper proposes a novel deep learning model,the MLP-Mixer and Mixture of Expert(MMMe)model,for RUL *** MMMe model leverages the Gated Recurrent Unit and Multi-Head Attention mechanism to encode the sequential data of battery capacity to capture the temporal features and a re-zero MLP-Mixer model to capture the high-level ***,we devise an ensemble predictor based on a Mixture-of-Experts(MoE)architecture to generate reliable RUL *** experimental results on public datasets demonstrate that our proposed model significantly outperforms other existing methods,providing more reliable and precise RUL predictions while also accurately tracking the capacity degradation *** code and dataset are available at the website of github.

关键词： lithium-ion battery remaining useful life deep learning MLP-Mixer mixture-of-experts

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Options for Application of Distributed Ledger Technologies in Development and Operation of Energy Communities 7

Options for Application of Distributed Ledger Technologies i...

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7th International Conference on Smart and Sustainable Technologies, SpliTech 2022

作者： Svetec, Erica Herencic, Lin Hrga, Alen Zagreb Croatia University of Zagreb Faculty of Electrical Engineering and Computing Department of Energy and Power Systems Zagreb Croatia

ISBN: (纸本)9789532901160

Deep integration of variable renewable energy sources in electrical power systems requires widespread use of digital technologies and novel citizen-oriented business models. The emergence of distributed ledger technologies (DLTs) has spurred the development of pilot projects and the assessment of the opportunities for the application of DLTs in the energy sector. In this paper, we examine DLTs considering their key features and applications in the energy sector, with a focus on their potential use in energy communities. As a case study, we present the pilot site in the city of KriÅ½evci in Croatia, where an energy community is being established. Based on this case, we assess the potential use cases, advantages, and possible drawbacks in the application of DLTs in comparison with the business-as-usual non-DLT solutions. © 2022 University of Split, FESB.

关键词： Blockchain

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AI-Enabled Smart Hybrid Energy Optimization Management System for Green Hydrogen-Based Islanded Microgrids 6

AI-Enabled Smart Hybrid Energy Optimization Management Syste...

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6th IEEE Novel Intelligent and Leading Emerging Sciences Conference, NILES 2024

作者： Mohamed, Noor El-Deen M. El Zoghby, Helmy M. Abdelhakam, Mostafa M. Elmesalawy, Mahmoud M. Helwan University Faculty of Engineering Computer and Systems Engineering Department Cairo Egypt Helwan University Department of Electrical Power and Machines Engineering Cairo Egypt Helwan University Faculty of Engineering Electronics and Communications Engineering Department Cairo Egypt

ISBN: (纸本)9798350378511

Renewable hybrid energy systems are crucial for ensuring energy sustainability. This work presents an advanced control and management system for green hydrogen production, leveraging artificial intelligence (AI) and Internet of Things (IoT) technologies. The system optimizes renewable energy utilization, improves hydrogen production efficiency, and ensures a reliable energy supply to meet varying demands. AI algorithms are used, including Random Forest, Artificial Neural Networks (ANN) and Long Short-Term Memory (LSTM) networks to forecast photovoltaic (PV) energy production and load consumption. These models are integrated into a centralized control system that dynamically adjusts energy distribution between immediate consumption and hydrogen production. Using data from the Rye microgrid, the system's effectiveness is demonstrated in enhancing decision-making for energy management in small-scale islanded operations. © 2024 IEEE.

关键词： Clean energy

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