2023 5th Global Power, Energy and Communication Conference (GPECOM)最新文献_第3页

Artificial Intelligence (AI) and Machine Learning (ML)-based Information Security in Electric Vehicles: A Review 基于人工智能和机器学习的电动汽车信息安全研究综述

2023 5th Global Power, Energy and Communication Conference (GPECOM) Pub Date : 2023-06-14 DOI: 10.1109/GPECOM58364.2023.10175817

Nachaat Mohamed, M. Bajaj, Saif khameis Almazrouei, F. Jurado, A. Oubelaid, S. Kamel

{"title":"Artificial Intelligence (AI) and Machine Learning (ML)-based Information Security in Electric Vehicles: A Review","authors":"Nachaat Mohamed, M. Bajaj, Saif khameis Almazrouei, F. Jurado, A. Oubelaid, S. Kamel","doi":"10.1109/GPECOM58364.2023.10175817","DOIUrl":"https://doi.org/10.1109/GPECOM58364.2023.10175817","url":null,"abstract":"The use of artificial intelligence (AI) and machine learning (ML) in electric vehicles (EVs) is gaining popularity as a means of improving information security. However, there is a lack of research on the specific ways in which Artificial intelligence (AI) and machine learning (ML) are being used in this context. This review aims to provide an overview of the current state of Artificial intelligence (AI) and machine learning (ML)-based information security in EVs. We conducted a systematic literature search to identify relevant studies and articles and analyzed them to identify common themes and trends. Our findings show that Artificial intelligence (AI) and machine learning (ML) are being used in a variety of ways to improve information security in EVs, including in the areas of authentication, intrusion detection, and attack prevention. In particular, we found that the use of ML algorithms such as deep learning and neural networks is becoming increasingly prevalent in these applications. Additionally, we found that there is a growing interest in the use of blockchain technology in combination with Artificial intelligence (AI) and machine learning (ML) for EV information security. Our research gathered that about 75% of the studies in the field are focused on intrusion detection, 20% on authentication, and 5% on attack prevention. The majority of the studies (70%) are based on the use of deep learning, 15% of them use neural networks, and the rest of the studies use other algorithms.","PeriodicalId":288300,"journal":{"name":"2023 5th Global Power, Energy and Communication Conference (GPECOM)","volume":"28 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123161229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Gain Assessment of Powering Train Loads With Rooftop Solar Panels: Case study of Morocco 利用屋顶太阳能电池板为火车负荷供电的收益评估:摩洛哥案例研究

2023 5th Global Power, Energy and Communication Conference (GPECOM) Pub Date : 2023-06-14 DOI: 10.1109/GPECOM58364.2023.10175759

Mohamed Amine Ouaid, M. Ouassaid, M. Tebaa

引用次数: 0

Dynamic Modeling and Simulation of Two-stage Grid Utility Scale PV System 两级并网公用事业规模光伏系统动态建模与仿真

2023 5th Global Power, Energy and Communication Conference (GPECOM) Pub Date : 2023-06-14 DOI: 10.1109/GPECOM58364.2023.10175670

O. Obadolagbonyi, S. Meliopoulos, Kaiyu Liu, A. Karimi

{"title":"Dynamic Modeling and Simulation of Two-stage Grid Utility Scale PV System","authors":"O. Obadolagbonyi, S. Meliopoulos, Kaiyu Liu, A. Karimi","doi":"10.1109/GPECOM58364.2023.10175670","DOIUrl":"https://doi.org/10.1109/GPECOM58364.2023.10175670","url":null,"abstract":"The recent sharp decline in the cost of photovoltaic (PV) systems has led to a significant increase in the amount of electricity generated by PV in the power grid. However, the integration of PV systems into the grid poses challenges to grid reliability, operation, and stability, which must be addressed. To study the dynamics of PV systems and minimize risks to grid reliability, various models have been developed using positive sequence simulations. Nonetheless, these simulations have limitations in identifying possible performance issues, which can be addressed by using electromagnetic transient (EMT) modeling and studies. In this study, a multi-level control architecture for a PV plant is proposed, including low-level, local-level, and plant-level controllers, to investigate the operation of a utility-scale PV plant within an EMT simulation platform. A case study of a utility-scale PV power plant, featuring PV arrays and a DC boost converter interface with maximum power point tracking (MPPT) control, is designed in PSCAD/EMTDC. The implemented PV model is extensively tested and validated against field data from a utility-scale PV system.","PeriodicalId":288300,"journal":{"name":"2023 5th Global Power, Energy and Communication Conference (GPECOM)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128069691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine Learning and EMI For MOSFET Aging Diagnosis 机器学习和电磁干扰用于MOSFET老化诊断

2023 5th Global Power, Energy and Communication Conference (GPECOM) Pub Date : 2023-06-14 DOI: 10.1109/GPECOM58364.2023.10175792

Cheikhna Mahfoudh Ahmed Taleb, J. Slama, Othman Nasri, M. Ndongo

引用次数: 0

An integrated approach for modelling Electric Powertrain 电动动力系统建模的集成方法

2023 5th Global Power, Energy and Communication Conference (GPECOM) Pub Date : 2023-06-14 DOI: 10.1109/GPECOM58364.2023.10175766

Shashwat Chandra, Arun Chandrasekharan Nair, A. K. Yadav, Sachin Singhal

引用次数: 1

Optimal Location of EV Parking Lot by MAOWHO technique in Distribution System 基于MAOWHO技术的配电系统电动汽车停车场优化选址

2023 5th Global Power, Energy and Communication Conference (GPECOM) Pub Date : 2023-06-14 DOI: 10.1109/GPECOM58364.2023.10175745

Ch. S. V. Prasad Rao, A. Pandian, Ch. Rami Reddy, M. Bajaj, F. Jurado, S. Kamel

{"title":"Optimal Location of EV Parking Lot by MAOWHO technique in Distribution System","authors":"Ch. S. V. Prasad Rao, A. Pandian, Ch. Rami Reddy, M. Bajaj, F. Jurado, S. Kamel","doi":"10.1109/GPECOM58364.2023.10175745","DOIUrl":"https://doi.org/10.1109/GPECOM58364.2023.10175745","url":null,"abstract":"This paper presents a new hybrid method for optimally locating and sizing the Electric vehicle charging stations and managing the electric vehicle charging system. The developed hybrid method is a joint action of Mexican Axolotl Optimization (MAO) and Wild Horse Optimizer (WHO) and called as MAOWHO method. The main use of this new method is for place and sizing of the electric vehicles parking lot and to increase the applications of Electric Vehicle Parking Lot (EVPL) for involvement in the reserve market. This hybrid method reduces the fluctuations in voltage and power losses due to the huge load demand on electric vehicles and uncertainty in renewable energy sources. In critical moments the flexibility and reliable for the electrical network can be improved by joining the electric vehicles (EV) and photovoltaic (PV) systems. The objective variables in this optimization problem are the location and capacity of the renewable energy sources (RES) and EV charging station. The MAOWHO technique is implemented using MATLAB /Simulink platform and its performance is compared with present methods. Its simulation results are compared with other methods like slime mould optimization (SMO), chaos game optimization (CGO), side-blotched lizard algorithm (SBLA) and this proposed approach gives a profit of 880 €.","PeriodicalId":288300,"journal":{"name":"2023 5th Global Power, Energy and Communication Conference (GPECOM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121787174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Efficient Driveline Architecture and Torque Distribution Strategy for Dual Traction Machines Electric Vehicles 双牵引电机电动汽车高效传动系统结构及转矩分配策略

2023 5th Global Power, Energy and Communication Conference (GPECOM) Pub Date : 2023-06-14 DOI: 10.1109/GPECOM58364.2023.10175710

A. Oubelaid, Khoudir Kakouche, N. Belbachir, T. Rekioua, M. Bajaj, F. Jurado, S. Kamel

引用次数: 4

FPGA Implementation of Model Predictive Control for Driving Multi-Induction Motors 多感应电机驱动模型预测控制的FPGA实现

2023 5th Global Power, Energy and Communication Conference (GPECOM) Pub Date : 2023-06-14 DOI: 10.1109/GPECOM58364.2023.10175693

Ozan Gulbudak, M. Gokdag

引用次数: 0

Distributed Hierarchical Control for Voltage Stability and Proportional Current Sharing in Island-Mode DC Microgrids 孤岛型直流微电网电压稳定与比例电流共享的分布式层次控制

2023 5th Global Power, Energy and Communication Conference (GPECOM) Pub Date : 2023-06-14 DOI: 10.1109/GPECOM58364.2023.10175733

A. Calpbinici, E. Irmak, E. Kabalci

{"title":"Distributed Hierarchical Control for Voltage Stability and Proportional Current Sharing in Island-Mode DC Microgrids","authors":"A. Calpbinici, E. Irmak, E. Kabalci","doi":"10.1109/GPECOM58364.2023.10175733","DOIUrl":"https://doi.org/10.1109/GPECOM58364.2023.10175733","url":null,"abstract":"This paper presents a novel distributed hierarchical control method for ensuring voltage stability at the common connection point and achieving proportional current sharing among power converter elements in island mode DC microgrids. The proposed control method operates in two levels, namely primary and secondary control. The primary control employs droop control to achieve proportional current sharing, but it introduces bus voltage deviation. To address this, the secondary control incorporates a voltage regulation term to correct the voltage deviation, while also preventing current distortions through a current regulation term. Furthermore, a dynamic consensus algorithm is employed to estimate the energy parameters of the entire microgrid using data from neighboring controllers, reducing the communication burden and distance compared to central hierarchical control. The LORA communication modules are employed to facilitate communication, enabling the establishment of widely spread microgrids. Experimental validation of the designed distributed hierarchical control is conducted on a laboratory microgrid, and the obtained results are presented.","PeriodicalId":288300,"journal":{"name":"2023 5th Global Power, Energy and Communication Conference (GPECOM)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122908636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Improved Control of DC-DC Converter for Fuel Cell and Battery Hybrid System Based on Ant Colony Optimization and RL-TD3 Agent 基于蚁群优化和RL-TD3 Agent的燃料电池混合系统DC-DC变换器改进控制

2023 5th Global Power, Energy and Communication Conference (GPECOM) Pub Date : 2023-06-14 DOI: 10.1109/GPECOM58364.2023.10175756

C. Nicola, M. Nicola

{"title":"Improved Control of DC-DC Converter for Fuel Cell and Battery Hybrid System Based on Ant Colony Optimization and RL-TD3 Agent","authors":"C. Nicola, M. Nicola","doi":"10.1109/GPECOM58364.2023.10175756","DOIUrl":"https://doi.org/10.1109/GPECOM58364.2023.10175756","url":null,"abstract":"Based on the increasing use of a Proton Exchange Membrane-Fuel Cell (PEM-FC) stack, and starting from a benchmark that has such a power generation structure including a battery, this article presents the global architecture of the proposed system and its main components, where the general objective is to keep the VDC voltage of the DC type circuit constant. Due to the long response time of the PEM-FC stack for internal thermodynamic reasons, in the proposed system, we present the improvement of the performance for the Proportional Integral (PI) controller of the DC-DC converter by using a Computational Intelligence-Ant Colony (CI-ACO) algorithm for obtaining the optimal values of the tuning parameters for the PI controller, but also by using a Reinforcement Learning -Twin-Delayed Deep Deterministic Policy Gradient (RL-TD3 agent), which through the correction signals provided contributes to obtaining superior control performance. The comparative verification of the performance for the proposed control systems was performed in the Matlab/Simulink programming environment.","PeriodicalId":288300,"journal":{"name":"2023 5th Global Power, Energy and Communication Conference (GPECOM)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128247768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1