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2021 29th Iranian Conference on Electrical Engineering (ICEE)最新文献

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Si/SiO2/Ag optical sensor Si/SiO2/Ag光学传感器
2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544236
Alireza Karimpour, Mehrdad Naemi Dehkharghani, F. Hossein-Babaei
{"title":"Si/SiO2/Ag optical sensor","authors":"Alireza Karimpour, Mehrdad Naemi Dehkharghani, F. Hossein-Babaei","doi":"10.1109/ICEE52715.2021.9544236","DOIUrl":"https://doi.org/10.1109/ICEE52715.2021.9544236","url":null,"abstract":"Self-powered photo-detectors are of considerable interest in the internet of things and other domestic and industrial areas. Metal-semiconductor Schottky junctions have been widely applied as simple photo-detector, but high state density at the interface due to the interface imperfections and dangling bonds diminish the performance of these photodetectors. The solution of this problem is attempted by introducing a thin film insulator oxide layer between the metal and silicon which is usually the utilized semiconductor. Quality and thickness of this layer is the essential design and fabrication parameter. Silicon dioxide, thermally grown on silicon wafers and chips, is the most widely utilized insulator in silicon-technology. Here, we report using different thermal oxidation conditions for growing oxides of different thickness for the determination of the effect of oxide layer in the light detection sensitivity of Ag/n-type silicon/Al structure. Current-voltage characteristics, open-circuit voltage, and short circuit current are measured for different structures. The optimum oxidation condition is established to be 4 h at 900°C in humid conditions. The open circuit device generates 110 mV when illuminated with white light at ~0.5 mW/mm2 intensity.","PeriodicalId":254932,"journal":{"name":"2021 29th Iranian Conference on Electrical Engineering (ICEE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126065490","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
Design and Analysis of Concentrated Field TFPM Generator for Direct-Drive Wind Turbines 直驱式风力机集中场TFPM发电机设计与分析
2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544328
Maryam Salehi, A. Darabi, Aghil Ghaheri, M. Hoseintabar
{"title":"Design and Analysis of Concentrated Field TFPM Generator for Direct-Drive Wind Turbines","authors":"Maryam Salehi, A. Darabi, Aghil Ghaheri, M. Hoseintabar","doi":"10.1109/ICEE52715.2021.9544328","DOIUrl":"https://doi.org/10.1109/ICEE52715.2021.9544328","url":null,"abstract":"Transverse flux machines take advantage of high torque and power density, and feasible of increasing the number of poles in constant volume which make them suitable in low speed structures including wind turbine systems. The aim of this paper is to design a transverse flux permanent magnet generator for direct-drive wind turbines. A new concentrated flux structure with low cogging torque and large torque density is designed and designated by Fem results. The prototype is constructed and tested to verify the Fem results.","PeriodicalId":254932,"journal":{"name":"2021 29th Iranian Conference on Electrical Engineering (ICEE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126068415","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
The Use of NSGA - II for Optimal Placement and Management of Renewable Energy Sources When Considering Network Uncertainty and Fault Current Limiters 考虑网络不确定性和故障限流时，NSGA - II在可再生能源优化配置和管理中的应用
2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544336
A. Farahani, S. Sadeghi
{"title":"The Use of NSGA - II for Optimal Placement and Management of Renewable Energy Sources When Considering Network Uncertainty and Fault Current Limiters","authors":"A. Farahani, S. Sadeghi","doi":"10.1109/ICEE52715.2021.9544336","DOIUrl":"https://doi.org/10.1109/ICEE52715.2021.9544336","url":null,"abstract":"Due to the abundant benefits of renewable energy sources (RESs), their participation in distribution networks is booming. However, they could have adverse effects on the protection coordination schemes. This paper proposes a nondominated sorting genetic algorithm (NSGA-II) that is a multiobjective optimization procedure to obtain the best locations and sizes of renewable energy sources (RESs) with fault current limiters (FCLs), reducing the short-circuit level of buses. The support vector regression, a supervised time series prediction approach in machine learning, is introduced to consider the uncertainty of load demands, network bid changes, and the generated powers of some RESs based on probabilistic states. The efficiency of the proposed procedure is established on the IEEE 33-bus test network.","PeriodicalId":254932,"journal":{"name":"2021 29th Iranian Conference on Electrical Engineering (ICEE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124769468","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
Scattering by an array of PEC cylinders in ferrite media using spectral technique 用光谱技术研究铁氧体介质中PEC柱阵列的散射
2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544140
Zahra Bahrami, A. Keshtkar, A. Ghorbani
{"title":"Scattering by an array of PEC cylinders in ferrite media using spectral technique","authors":"Zahra Bahrami, A. Keshtkar, A. Ghorbani","doi":"10.1109/ICEE52715.2021.9544140","DOIUrl":"https://doi.org/10.1109/ICEE52715.2021.9544140","url":null,"abstract":"New interesting analytical solution in theory of scattering by Perfect Electric conductor (PEC) cylinders in ferrite media is presented using spectral technique based on the scattering matrix. The problem is considered as a 2-D electromagnetic problem assuming no field variation along axis of cylinders. In this method a global scattering matrix will be defined which it has all the information concerning the electromagnetic behavior of all the scattering object. The validity and accuracy of this method is verified by comparing the numerical results with those given in the literature and simulation results with COMSOL.","PeriodicalId":254932,"journal":{"name":"2021 29th Iranian Conference on Electrical Engineering (ICEE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125123653","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
Towards Non-Invasive Deep Brain Stimulation Using Temporal Interference Method 颞部干扰法无创深部脑刺激研究
2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544154
M. Gholami, Farshid Ghobadzadeh, Fatemeh Yazdanshenas, A. Yazdani, M. Neshat
{"title":"Towards Non-Invasive Deep Brain Stimulation Using Temporal Interference Method","authors":"M. Gholami, Farshid Ghobadzadeh, Fatemeh Yazdanshenas, A. Yazdani, M. Neshat","doi":"10.1109/ICEE52715.2021.9544154","DOIUrl":"https://doi.org/10.1109/ICEE52715.2021.9544154","url":null,"abstract":"In this paper, we examine the effectiveness of the temporal interference method through simulations and experiments on phantom models. In this method, the electrodes are placed on the scalp, and no physical damage is done to the subject. In contrast to other non-invasive stimulation methods in which a large part of the brain might be under the influence of the stimulation, the TI method not only has the ability to focus the stimulation at a specific point (with a certain resolution), but also it can move the stimulated spot. In the simulations, we study the current interference pattern inside the human head model, and we use the Hodgkin-Huxley model to map action potentials in our simulations. Moreover, we study the effect of different parameters on how to move the stimulation spot. Our simulation results are verified against experimental measurements on a phantom.","PeriodicalId":254932,"journal":{"name":"2021 29th Iranian Conference on Electrical Engineering (ICEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130065281","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
Market-oriented Optimal Control Strategy for an Integrated Energy Storage System and Wind Farm 储能系统与风电场一体化的市场导向最优控制策略
2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544337
Sajad Esmaeili, M. Amini, A. Khorsandi, S. Fathi, S. Hosseinian, J. Millimonfared
{"title":"Market-oriented Optimal Control Strategy for an Integrated Energy Storage System and Wind Farm","authors":"Sajad Esmaeili, M. Amini, A. Khorsandi, S. Fathi, S. Hosseinian, J. Millimonfared","doi":"10.1109/ICEE52715.2021.9544337","DOIUrl":"https://doi.org/10.1109/ICEE52715.2021.9544337","url":null,"abstract":"Fluctuations in power generation in wind farms reduce their profits and utility grid reliability. Energy storage systems (ESS) are used to decrease the energy imbalance between actual wind power and scheduled wind power in wind farms. Therefore, ESS optimal control and planning will play an important role in reducing energy imbalance and increasing wind farm profits. In this paper, a novel control method based on model predictive control (MPC) is presented to fulfill the committed energy production of wind farms and increase the ESS operation benefits. Considering the short-term forecast of real-time market price and wind power in the optimization problem leads to more efficient scheduling for the ESS charge/discharge rate and the amount of energy purchased from the real-time market. It not only reduces energy imbalance but also increases wind farm profit. Numerical results are presented to show the effectiveness and validity of the proposed control method.","PeriodicalId":254932,"journal":{"name":"2021 29th Iranian Conference on Electrical Engineering (ICEE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127176328","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: 5
A 23.4-31.9 GHz Tunable RF-MEMS Impedance Matching Network for 5G Power Amplifier 5G功率放大器用23.4-31.9 GHz可调谐RF-MEMS阻抗匹配网络
2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544293
Fazel Ziraksaz, A. Hassanzadeh
{"title":"A 23.4-31.9 GHz Tunable RF-MEMS Impedance Matching Network for 5G Power Amplifier","authors":"Fazel Ziraksaz, A. Hassanzadeh","doi":"10.1109/ICEE52715.2021.9544293","DOIUrl":"https://doi.org/10.1109/ICEE52715.2021.9544293","url":null,"abstract":"This paper presents a new tunable Impedance Matching Network (IMN) structure in frequency range of 23.4-31.9GHz for wideband fifth generation (5G) Power Amplifiers (PAs) by using RF-MEMS switches. In this IMN, to adjust the impedance in the central frequencies of the 5G, i.e. 26 and 28 GHz, voltage is applied to the switch. Simulation results show that S(1,1) is −67.8 dB for 26GHz and −43.8 dB for 28 GHz. In frequency range of 24.5-28.8 GHz, S(1,1) is always less than −10dB. Electrical and mechanical simulations in the Advance Design System (ADS) and COMSOL simulation software indicate the IMN's ability to adjust impedance for center frequencies.","PeriodicalId":254932,"journal":{"name":"2021 29th Iranian Conference on Electrical Engineering (ICEE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128818239","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
A Novel Generation Shedding Procedure for Power Management System in Industrial Power Plants 工业发电厂电源管理系统的一种新型脱电程序
2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544347
E. Asadi, H. Khoshkhoo, A. Parizad
{"title":"A Novel Generation Shedding Procedure for Power Management System in Industrial Power Plants","authors":"E. Asadi, H. Khoshkhoo, A. Parizad","doi":"10.1109/ICEE52715.2021.9544347","DOIUrl":"https://doi.org/10.1109/ICEE52715.2021.9544347","url":null,"abstract":"Following a disturbance in an islanded industrial power plant, if the power imbalance between generation and load is not eliminated quickly, under/over voltage and frequency relays may quickly trip sensitive loads (like petrochemical ones) and results in significant economic loss. Accordingly, the main purpose of this paper is to propose a generation shedding procedure for Power Management System (PMS) to execute timely and optimal control measures to maintain voltage and frequency within the acceptable range and prevent the operation of over-voltage and frequency relays. In this method, in the first moments after a short circuit occurrence in a load feeder, which causes an overcurrent relay to operate and remove some loads from the grid, the proposed feature set is calculated to determine the required generation shedding amount by an artificial neural network (ANN). The results of dynamic simulations performed using DIgSILENT PowerFactory software in a real industrial power plant show that the implementation of these control measures will prevent the operation of the protection system, and eventually, the power plant will reach a new stable equilibrium point.","PeriodicalId":254932,"journal":{"name":"2021 29th Iranian Conference on Electrical Engineering (ICEE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129410188","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
Weighted Fuzzy-Based PSNR for Watermark Visual Quality Evaluation 基于加权模糊的PSNR水印视觉质量评价
2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544177
M. Jamali, N. Karimi, S. Samavi
{"title":"Weighted Fuzzy-Based PSNR for Watermark Visual Quality Evaluation","authors":"M. Jamali, N. Karimi, S. Samavi","doi":"10.1109/ICEE52715.2021.9544177","DOIUrl":"https://doi.org/10.1109/ICEE52715.2021.9544177","url":null,"abstract":"One of the problems of conventional visual quality evaluation criteria such as PSNR and MSE is the lack of appropriate criteria based on the human visual system (HVS). They are calculated based on the difference of the corresponding pixels in the original and manipulated image. Hence, they practically do not provide a correct understanding of the image quality. Watermarking is an image processing application in which the image's visual quality is an essential criterion for its evaluation. Watermarking requires a criterion based on the HVS that provides more accurate values compared to conventional criteria such as PSNR. This paper proposes a weighted fuzzy-based criterion that tries to find essential parts of an image based on the HVS. Then these parts will have larger weights in computing the final value of PSNR. We compare our results against standard PSNR, and our experiments show considerable consequences.","PeriodicalId":254932,"journal":{"name":"2021 29th Iranian Conference on Electrical Engineering (ICEE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122480106","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
Modeling Data Communications of Wireless Sensor Networks Based on MFM Model and Analyzing Its Stability Using Wave Advanced Model (WAM) 基于MFM模型的无线传感器网络数据通信建模及WAM稳定性分析
2021 29th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2021-05-18 DOI: 10.1109/ICEE52715.2021.9544160
Saeedreza Tofighi, M. Shafiee
{"title":"Modeling Data Communications of Wireless Sensor Networks Based on MFM Model and Analyzing Its Stability Using Wave Advanced Model (WAM)","authors":"Saeedreza Tofighi, M. Shafiee","doi":"10.1109/ICEE52715.2021.9544160","DOIUrl":"https://doi.org/10.1109/ICEE52715.2021.9544160","url":null,"abstract":"In this paper, a method for modeling distributed communications in regular grid wireless sensor networks is presented using the Modified Fornasini-Marchesini (MFM) model of two-dimensional (2-D) systems. Also, quantization schemes have been used to model in-node and inter-node computations. Furthermore, a method has been proposed for distributed data processing in the wireless sensor network. The stability of this network has been investigated using a Wave Advanced Model (WAM) and considering quantization relations. (Abstract)","PeriodicalId":254932,"journal":{"name":"2021 29th Iranian Conference on Electrical Engineering (ICEE)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131465585","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
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