Computers & Electrical Engineering最新文献_第3页

Corrigendum to “A new least squares error based method for accurate phasor estimation of fault currents in series-compensated transmission lines” [Computers and Electrical Engineering, volume 118, Part A, (2024) 109360] 基于最小二乘误差的串联补偿输电线路故障电流相位精确估算新方法"[《计算机与电气工程》，第 118 卷，A 部分，(2024) 109360] 更正

IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2024-11-24 DOI: 10.1016/j.compeleceng.2024.109899

Huthaifa Noori Aljweer , Ali Akbar Abdoos , Ali Ebadi

引用次数: 0

Advancement of Power-to-Hydrogen and Heat-to-Hydrogen technologies and their applications in renewable-rich power grids 推进电制氢和热制氢技术及其在可再生能源丰富的电网中的应用

IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2024-11-24 DOI: 10.1016/j.compeleceng.2024.109843

Abdel-Raheem Youssef , Mohamad Mallah , Abdelfatah Ali , Essam E.M. Mohamed

{"title":"Advancement of Power-to-Hydrogen and Heat-to-Hydrogen technologies and their applications in renewable-rich power grids","authors":"Abdel-Raheem Youssef , Mohamad Mallah , Abdelfatah Ali , Essam E.M. Mohamed","doi":"10.1016/j.compeleceng.2024.109843","DOIUrl":"10.1016/j.compeleceng.2024.109843","url":null,"abstract":"<div><div>As renewable energy sources integrate into microgrids, they bring challenges such as sudden fluctuations in weather and load demands. Power-to-Hydrogen-to-Power converts excess renewable power into chemical energy stored as hydrogen, which can be used on-site or transported for consumption. This paper presents a new model for Hydrogen Energy Storage (HES) that captures the interactions among an electrolyzer, a fuel cell, and hydrogen tanks. It proposes a management control strategy where HES units help regulate frequency within a microgrid (MG). An MG-level controller is designed to optimize power distribution, enabling rapid HES responses to correct power imbalances, with distributed generators addressing any remaining imbalances. The MG-level controller works with HES-level controllers to adjust operating modes and frequency regulation support based on hydrogen levels. Additionally, the paper explores using the Bunsen reaction to convert heat energy into hydrogen, investigating its potential for efficient hydrogen production through the thermal decomposition of hydrocarbons. The impact of this method on system performance is analyzed through simulations. The simulation results clearly show the effectiveness of implementing Bunsen support. This intervention significantly reduces frequency deviation from 0.02 Hz to 0.005 Hz and enhances hydrogen mass compared to scenarios without it, with a recorded increase of 2.391 g/sec. Furthermore, the presence of sufficient hydrogen levels in the tank due to the Bunsen reaction prolongs the operation period of Gas Turbines (GTs). The integration of Bunsen support mechanisms enhances stability within microgrid systems, highlighting their potential benefits for optimizing system performance and stability in similar applications.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"120 ","pages":"Article 109843"},"PeriodicalIF":4.0,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142699503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi agent system based smart grid anomaly detection using blockchain machine learning model in mobile edge computing network 在移动边缘计算网络中使用区块链机器学习模型进行基于多代理系统的智能电网异常检测

IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2024-11-23 DOI: 10.1016/j.compeleceng.2024.109825

Jing Wang

引用次数: 0

A comprehensive survey on intrusion detection algorithms 入侵检测算法综合调查

IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2024-11-23 DOI: 10.1016/j.compeleceng.2024.109863

Yang Li , Zhengming Li , Mengyao Li

{"title":"A comprehensive survey on intrusion detection algorithms","authors":"Yang Li , Zhengming Li , Mengyao Li","doi":"10.1016/j.compeleceng.2024.109863","DOIUrl":"10.1016/j.compeleceng.2024.109863","url":null,"abstract":"<div><div>Although there are many reviews on Intrusion Detection Systems (IDS), the basic parts of Intrusion Detection Algorithms (IDA), such as imbalanced datasets, feature engineering, and model design, have not been fully studied. This review thoroughly examines modern IDA, emphasizing recent progress, current challenges, and potential future research paths. First, we explore three different strategies to handle imbalanced datasets: resampling, Synthetic Minority Over-sampling Technique (SMOTE), Generative Adversarial Networks (GAN). Next, we examine a few key feature extraction techniques, including Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Autoencoder (AE), among others. Additionally, we explore filtering, wrapper, and embedded methods for feature selection. Then, we explore model design approaches for IDA, considering both ensemble and non-ensemble learning methods. We provide a thorough assessment of ensemble techniques: bagging, boosting, and stacking. We also evaluate a variety of non-ensemble methods, including Naive Bayes (NB), K-Nearest Neighbors (KNN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), among others. Finally, we briefly outline relevant applications, challenges and future research directions. This survey will serve as a valuable resource for researchers and practitioners, and foster the advancement of IDA technology.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"121 ","pages":"Article 109863"},"PeriodicalIF":4.0,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal energy management strategy for electric vehicle charging station based on tied photovoltaic system 基于并联光伏系统的电动汽车充电站优化能源管理策略

IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2024-11-23 DOI: 10.1016/j.compeleceng.2024.109875

Rabah Bouhedir , Adel Mellit , Mohamed Benghanem , Belqees Hassan

{"title":"Optimal energy management strategy for electric vehicle charging station based on tied photovoltaic system","authors":"Rabah Bouhedir , Adel Mellit , Mohamed Benghanem , Belqees Hassan","doi":"10.1016/j.compeleceng.2024.109875","DOIUrl":"10.1016/j.compeleceng.2024.109875","url":null,"abstract":"<div><div>The rise of carbon dioxide emissions is a leading contributor to environmental pollution, impacting both human health and the planet. A promising solution is the integration of green energy and electric vehicles (EVs), which reduce dependence on fossil fuels. This paper introduces a novel energy management strategy to optimize energy flow and schedule EV battery charging at a solar-powered charging station. The system, installed at the University of Trieste, Italy, combines photovoltaic (PV) energy with grid power to reduce grid reliance. Using real-time data—such as EV presence, energy demand, available PV power, and battery status—the proposed method prioritizes maximizing PV energy usage while minimizing grid consumption. Unlike traditional methods, this strategy simplifies decision-making through a rule-based approach that eliminates the need for energy forecasting. Simulation results show the proposed strategy effectively optimizes energy usage, reduces grid consumption, protects battery life, and supports the main grid. The findings highlight the system's potential to improve energy efficiency and sustainability.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"121 ","pages":"Article 109875"},"PeriodicalIF":4.0,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Remaining useful life prediction method of bearings based on the interactive learning strategy 基于交互式学习策略的轴承剩余使用寿命预测方法

IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2024-11-22 DOI: 10.1016/j.compeleceng.2024.109853

Hao Wang , Jing An , Jun Yang , Sen Xu , Zhenmin Wang , Yuan Cao , Weiqi Yuan

{"title":"Remaining useful life prediction method of bearings based on the interactive learning strategy","authors":"Hao Wang , Jing An , Jun Yang , Sen Xu , Zhenmin Wang , Yuan Cao , Weiqi Yuan","doi":"10.1016/j.compeleceng.2024.109853","DOIUrl":"10.1016/j.compeleceng.2024.109853","url":null,"abstract":"<div><div>To address the issues of low accuracy, high time cost, and different failure modes in predicting the remaining useful life of rolling bearings, a remaining useful life prediction model based on an interactive learning convolution network with a feature attention mechanism (ILCANet) was proposed in this paper. The model divided time series data into an odd part and an even part, and the interactive learning strategy improved the ability of the model to extract features from long series. The binary tree structure was used to increase the number of network layers and to subdivide sequence features. In the model, residual connection was introduced to prevent the gradient from disappearing. In addition, in order to determine the degree of contribution of different features, a feature attention mechanism was embedded to assign weights to features. Experiments were conducted with PHM2012 and XJTU-SY datasets, and the results showed that the proposed method had better prediction accuracy in RUL prediction than other prediction methods.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"121 ","pages":"Article 109853"},"PeriodicalIF":4.0,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing Multi-Machine Power System Stability with STATCOM-SMES: A Soft Computing Approach 利用 STATCOM-SMES 增强多机电力系统稳定性：一种软计算方法

IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2024-11-22 DOI: 10.1016/j.compeleceng.2024.109878

Sahil Kumar, Anil Kumar Dahiya

{"title":"Enhancing Multi-Machine Power System Stability with STATCOM-SMES: A Soft Computing Approach","authors":"Sahil Kumar, Anil Kumar Dahiya","doi":"10.1016/j.compeleceng.2024.109878","DOIUrl":"10.1016/j.compeleceng.2024.109878","url":null,"abstract":"<div><div>The increasing complexity and increasing mismatch between supply and demand within modern power systems necessitate advanced methods for ensuring system stability and reliable operation. This article investigates the enhancement of transient stability in a multi-machine power system through the integration of Flexible AC Transmission Systems (FACTS) devices, specifically a Static Synchronous Compensator (STATCOM) combined with energy storage. Leveraging soft computing techniques such as Fuzzy Logic Controllers (FLC) and Artificial Neural Networks (ANN), this study evaluates the performance improvements in transient stability. The methodology involves modeling a multi-machine power system, implementing STATCOM-SMES configurations, and designing FLC and ANN controllers to dynamically support system stability. Simulations are conducted using MATLAB/Simulink, applying a three-phase to ground fault to assess the system's transient response. Performance metrics such as peak overshoot, settling time, and damping ratio are analyzed to compare the effectiveness of the proposed techniques. The results demonstrate significant improvements in transient stability with the application of FLC and ANN controlled STATCOM-SMES systems. This study underscores the potential of integrating soft computing techniques with FACTS devices to enhance the dynamic performance and resilience of power systems, contributing valuable insights for future research and practical applications in power system stability.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"120 ","pages":"Article 109878"},"PeriodicalIF":4.0,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quad ports dielectric resonator antenna with simple feed network and high gain performance 具有简单馈电网络和高增益性能的四端口介质谐振器天线

IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2024-11-22 DOI: 10.1016/j.compeleceng.2024.109848

Asmaa I. Afifi , Anwer S. Abd El-Hameed , Ahmed Allam , Sabah M. Ahmed , Adel B. Abdel-Rahman

{"title":"Quad ports dielectric resonator antenna with simple feed network and high gain performance","authors":"Asmaa I. Afifi , Anwer S. Abd El-Hameed , Ahmed Allam , Sabah M. Ahmed , Adel B. Abdel-Rahman","doi":"10.1016/j.compeleceng.2024.109848","DOIUrl":"10.1016/j.compeleceng.2024.109848","url":null,"abstract":"<div><div>This paper presents a quad-port multiple-input multiple-output (MIMO) single cylindrical dielectric resonator antenna (CDRA) for X-band applications. This approach is mainly based on selecting the proper feeding structure for each port as well as implanting vertical metallic vias (VMVs) to diminish the mutual coupling over a wide bandwidth. Two orthogonal apertures and two vertical probes are utilized as feeding structures to realize good isolation between all port combinations. For coupling mitigation between port1 and port2 that is due to the field distribution of the excited modes at these ports, four VMVs are inserted between them in appropriate positions to produce field orthogonality along wide bandwidth. The excited modes inside the proposed CDRA are <span><math><mrow><mi>H</mi><msubsup><mrow><mi>E</mi></mrow><mrow><mn>52</mn><mi>δ</mi><mo>+</mo><mn>2</mn></mrow><mi>x</mi></msubsup></mrow></math></span>,<span><math><mrow><mrow><mspace></mspace><mi>H</mi></mrow><msubsup><mrow><mi>E</mi></mrow><mrow><mn>52</mn><mi>δ</mi><mo>+</mo><mn>2</mn></mrow><mi>y</mi></msubsup></mrow></math></span>, HE<sub>32δ + 2</sub>, and TM<sub>12δ + 2</sub>. Isolation better than -15 dB is attained across the overlapping band of 340 MHz (4 %); from 8.2 to 8.54 GHz. Moreover, the proposed DRA provides a gain of 5.17, 7.21, 7.77, and 7.78 dBi for the four ports at 8.45 GHz and the total efficiencies at all ports are from 65 to 85 % across the operating band. The MIMO performance of the proposed design shows a good envelope correlation coefficient (ECC), diversity gain (DG), total active reflection coefficient (TARC), channel capacity loss (CCL) and mean effective gain (MEG) through the whole band for all ports.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"120 ","pages":"Article 109848"},"PeriodicalIF":4.0,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-branch spatial pyramid dynamic graph convolutional neural networks for solar defect detection 用于太阳能缺陷检测的多分支空间金字塔动态图卷积神经网络

IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2024-11-22 DOI: 10.1016/j.compeleceng.2024.109872

Sina Apak , Murtaza Farsadi

{"title":"Multi-branch spatial pyramid dynamic graph convolutional neural networks for solar defect detection","authors":"Sina Apak , Murtaza Farsadi","doi":"10.1016/j.compeleceng.2024.109872","DOIUrl":"10.1016/j.compeleceng.2024.109872","url":null,"abstract":"<div><div>The imperative for automating solar panel monitoring techniques has become increasingly apparent with the global expansion of photovoltaic usage and the continuous installation of large-scale photovoltaic systems. Manual or visual inspection, limited in its applicability, is insufficient to manage this growing demand. To address this, we propose a novel Multi-Branch Spatial Pyramid Dynamic Graph Convolutional Neural Network (MB SPDG-CNN) for automatic fault detection in solar photovoltaic panels. The proposed architecture utilizes two separate input branches for thermal and RGB images, effectively leveraging complementary information from both image types. This multi-branch design enables the model to extract multi-stage features through a spatial pyramid pooling layer, enhancing feature fusion and improving classification accuracy. Additionally, compared to single-branch systems, our approach prevents feature redundancy and loss of important contextual information by fusing features from different layers in a unified end-to-end manner. Extensive experiments show that the proposed MB SPDG-CNN significantly outperforms single-branch architectures and other existing methods, achieving a precision of 99.78 %, recall of 98.91 %, and F1-score of 99.78 %. The integration of both RGB and thermal features within a multi-branch setup resulted in a 10 % improvement in detection rates compared to single-branch models, demonstrating the effectiveness of our architecture in achieving robust and accurate defect detection.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"121 ","pages":"Article 109872"},"PeriodicalIF":4.0,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Wavelet and VMD enhanced traffic forecasting and scheduling method for edge cloud networks 小波和 VMD 增强型边缘云网络流量预测和调度方法

IF 4 3区计算机科学

Computers & Electrical Engineering Pub Date : 2024-11-22 DOI: 10.1016/j.compeleceng.2024.109862

Siyuan Liu , Qian He , Yiting Chen , Fan Zhang

{"title":"Wavelet and VMD enhanced traffic forecasting and scheduling method for edge cloud networks","authors":"Siyuan Liu , Qian He , Yiting Chen , Fan Zhang","doi":"10.1016/j.compeleceng.2024.109862","DOIUrl":"10.1016/j.compeleceng.2024.109862","url":null,"abstract":"<div><div>With the proliferation of Intelligent applications, more and more organizations migrate their applications from cloud to edge cloud network to reduce the latency of applications and alleviate the workload of cloud. When the network congestion occurs, network monitoring and detection system may disable, and edge cloud network will be vulnerable to be attacked. Traffic forecasting can identify the traffic patterns in advance, and dynamically allocate network resources to decrease latency of applications and avoid security risks caused by network congestion. Therefore, we propose a network scheduling framework WVNF (Wavelet VMD Based Network Flow Management) based on traffic prediction, which utilizes neural networks to forecast network traffic and deploys route strategies to optimize network scheduling. Specifically, in order to accurately forecast network traffic, we propose a neural network model, named TSWNet (Traffic Sequence Wavelet Network). TSWNet uses VMD (variational mode decomposition) to decompose time series and extract signal structure information on different time scales, and adopts wavelet transformation to extract the local and global features of the traffic sequence in the time and frequency domain. In addition, we model this traffic scheduling problem and propose a route strategy, which utilizes the result of TSWNet to find the best path. In extensive tests, TSWNet significantly outperformed existing models, reducing MSE and MAE by up to 48.8% and 27.8% respectively, demonstrating its effective traffic prediction and network scheduling capabilities.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"121 ","pages":"Article 109862"},"PeriodicalIF":4.0,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0