2021 IEEE Design Methodologies Conference (DMC)最新文献

Cyber Protection of Grid-Connected Devices Through Embedded Online Security 嵌入式在线安全对并网设备的网络保护

2021 IEEE Design Methodologies Conference (DMC) Pub Date : 2021-07-14 DOI: 10.1109/DMC51747.2021.9529935

C. Farnell, Estefano Soria, Justin Jackson, H. Mantooth

{"title":"Cyber Protection of Grid-Connected Devices Through Embedded Online Security","authors":"C. Farnell, Estefano Soria, Justin Jackson, H. Mantooth","doi":"10.1109/DMC51747.2021.9529935","DOIUrl":"https://doi.org/10.1109/DMC51747.2021.9529935","url":null,"abstract":"Cybersecurity research regarding the electric power grid has primarily been focused on protecting the communication layer of grid-connected devices against cyber-attack threats. Although many developed methods have greatly reduced the effects of a cyber-attack on the vulnerabilities of grid-connected devices, discovering new vulnerabilities is inevitable and a constant threat. As a result, the overall reliability and security of network communications with regard to grid-connected devices is a concern. This paper proposes a method that further secures a system by focusing on the control and hardware layer of grid-connected devices. The device’s controller firmware will be validated and authenticated using integrated device emulation resources prior to being activated to control the grid-connected device. This verification process is performed while the controller is online and actively controlling power flows related to the device. Therefore, an attack to the system through a malicious firmware patch would be detected by the online security and rejected while safely maintaining continuous and stable control of the device. This method integrates the concepts of firmware hot-patching, digital twins, and active monitoring into an overall cybersecurity protection system.","PeriodicalId":306815,"journal":{"name":"2021 IEEE Design Methodologies Conference (DMC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115951862","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: 3

Multi Expansion Point Reduced Order Modelling for Electromagnetic Design of Power Electronics 电力电子系统电磁设计的多扩展点降阶建模

2021 IEEE Design Methodologies Conference (DMC) Pub Date : 2021-07-14 DOI: 10.1109/DMC51747.2021.9529950

Xinning Gao, Paul L. Evans, Mark C. Johnson, Ke Li

引用次数: 2

An N-port system model for multiwinding transformer based multilevel converters in DC-autotransformer configuration 基于多绕组变压器的直流自耦多电平变换器的n端口系统模型

2021 IEEE Design Methodologies Conference (DMC) Pub Date : 2021-07-14 DOI: 10.1109/DMC51747.2021.9529928

F. Grimm, M. Baghdadi, R. Bucknall

引用次数: 0

Machine Learning Estimators for Power Electronics Design and Optimization 电力电子设计与优化的机器学习估计

2021 IEEE Design Methodologies Conference (DMC) Pub Date : 2021-07-14 DOI: 10.1109/DMC51747.2021.9529937

Kyle J. Goodrick, Antuwon Butler, Thomas Byrd, D. Maksimović

引用次数: 2

Trade-Off Between Accuracy and Computational Time for Magnetics Thermal Model Based on Artificial Neural Networks (ANN) 基于人工神经网络的磁学热模型精度与计算时间的权衡

2021 IEEE Design Methodologies Conference (DMC) Pub Date : 2021-07-14 DOI: 10.1109/DMC51747.2021.9529932

D. Santamargarita, G. Salinas, D. Molinero, E. Bueno, M. Vasić

{"title":"Trade-Off Between Accuracy and Computational Time for Magnetics Thermal Model Based on Artificial Neural Networks (ANN)","authors":"D. Santamargarita, G. Salinas, D. Molinero, E. Bueno, M. Vasić","doi":"10.1109/DMC51747.2021.9529932","DOIUrl":"https://doi.org/10.1109/DMC51747.2021.9529932","url":null,"abstract":"The thermal management of magnetic components for power electronics is crucial to ensure their reliability and for pushing the limits in terms of power density. In recent years, several studies have been carried out to obtain an Artificial Neural Network (ANN) that predicts the thermal behaviour of magnetic components removing the need to employ complex thermal models. These ANN were obtained from a dataset of multiple FEM simulations and, in order to speed up the process of building the dataset, different approaches are often used, which substantially reduce the accuracy of the ANN but it increases the speed of dataset generation. Therefore, it is an important task to know before generating the dataset which assumptions can be applied and how much error they will introduce in the ANN. This paper compare several traditionally used approaches for ANN generation and how they contributed to the error when forced convection is used, determining which approaches generate a higher error and the time saved from using those assumptions under certain boundary conditions. A new approach is also proposed for global fan modelling using only 2 variables.","PeriodicalId":306815,"journal":{"name":"2021 IEEE Design Methodologies Conference (DMC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124597190","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: 2

Fast and Accurate Electric Field Model for Optimizing the Insulation Design of Magnetic Devices 用于优化磁性器件绝缘设计的快速准确电场模型

2021 IEEE Design Methodologies Conference (DMC) Pub Date : 2021-07-14 DOI: 10.1109/DMC51747.2021.9529943

Bastian Korthauer, J. Biela

引用次数: 0

Placement and Routing for Power Module Layout 电源模块布局的放置和布线

2021 IEEE Design Methodologies Conference (DMC) Pub Date : 2021-07-14 DOI: 10.1109/DMC51747.2021.9529940

Tristan M. Evans, Yarui Peng, H. Mantooth

引用次数: 3

Online Health Monitoring in Power Modules for Inverter Topologies using Isolated Parameter Acquisition 基于隔离参数采集的逆变器拓扑电源模块在线健康监测

2021 IEEE Design Methodologies Conference (DMC) Pub Date : 2021-07-14 DOI: 10.1109/DMC51747.2021.9529946

Kevin Muñoz Barón, K. Sharma, M. Nitzsche, I. Kallfass

{"title":"Online Health Monitoring in Power Modules for Inverter Topologies using Isolated Parameter Acquisition","authors":"Kevin Muñoz Barón, K. Sharma, M. Nitzsche, I. Kallfass","doi":"10.1109/DMC51747.2021.9529946","DOIUrl":"https://doi.org/10.1109/DMC51747.2021.9529946","url":null,"abstract":"This work presents a versatile acquisition method and hardware to the simultaneous measurement of several electrical parameters in power transistors employed in switched-mode converters. The setup takes into account that the reference potentials vary drastically and dynamically in bridge inverter circuits, depending on the switching state. Accurate acquisition of several electrical parameters of the device, such as the threshold voltage and the on-state resistance, is employed online by converting the measurements from analog to their corresponding digital values close to the transistors. The implementation of a differential transmission based on a 10Mbps asynchronous protocol and a bus system ensures a robust and performant relaying of the measurement data. Measurement results show that the proposed setup is capable of updating a supervisory system of new parameter values efficiently within one PWM cycle to allow an online adjustment and intervention in case of abnormalities. Furthermore, an example AC power cycling test shows how the quasi threshold voltage and on-state voltage varies within one cycle of 5s. Both show an expected change according to their temperature sensitivity in literature.","PeriodicalId":306815,"journal":{"name":"2021 IEEE Design Methodologies Conference (DMC)","volume":"341 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126026781","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

Characterization and modeling of 650V GaN diodes for high frequency power conversion 用于高频功率转换的650V GaN二极管的特性和建模

2021 IEEE Design Methodologies Conference (DMC) Pub Date : 2021-07-14 DOI: 10.1109/DMC51747.2021.9529931

D. Martin, Defrance Nicolas, Pace Loris, Okada Etienne, Duquesne Thierry, C. Emmanuel, Yvon Arnaud, Idir Nadir, De-Jaeger Jean-Claude

{"title":"Characterization and modeling of 650V GaN diodes for high frequency power conversion","authors":"D. Martin, Defrance Nicolas, Pace Loris, Okada Etienne, Duquesne Thierry, C. Emmanuel, Yvon Arnaud, Idir Nadir, De-Jaeger Jean-Claude","doi":"10.1109/DMC51747.2021.9529931","DOIUrl":"https://doi.org/10.1109/DMC51747.2021.9529931","url":null,"abstract":"The constant growth of electric consumption leads to considerable progress in power conversion. Recent studies have shown that using Gallium Nitride (GaN) as a technological building bloc permits to develop converter operating at high frequency with reduced volume and weight. Furthermore, it is conceivable the monolithic co-integration of devices towards full-GaN switching cells. Therefore, characterization of GaN power devices is needed to provide accurate models in a wide frequency band in order to design new generations of converters. An innovative modeling method for GaN High Electron Mobility Transistor (HEMT) power transistors based on the use of Scattering parameters (S-parameters) and small-signal equivalent circuit was recently developed and validated in previous studies. Meanwhile, the demand concerning GaN diodes increases, pushing forward the need for dedicated electric model. Through S-parameters, current-voltage and current-collapse measurements, this paper presents the characterization of packaged GaN diodes with the aim to establish an accurate nonlinear model. The analyzed devices are still in the development phase, but initial results are very promising and get close to commercial SiC diodes available on the market.","PeriodicalId":306815,"journal":{"name":"2021 IEEE Design Methodologies Conference (DMC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121943683","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

A Multi-Objective Genetic Algorithm Methodology for the Design of Standalone Energy Systems 独立能源系统设计的多目标遗传算法

2021 IEEE Design Methodologies Conference (DMC) Pub Date : 2021-07-14 DOI: 10.1109/DMC51747.2021.9529939

M. Virgili, Andrew J. Forysth, P. James

引用次数: 4