Research Article
Power electronics converters
Jalil Jalili; Sayyed Mohammad Mehdi Mirtalaei; Mohammadreza Mohammadi; Behrooz Majidi
Articles in Press, Accepted Manuscript, Available Online from 08 June 2022
Abstract
In this paper, a non-isolated high step-up soft-switching converter is proposed. The proposed converter is a boost converter combined with two voltage multiplier cells for boosting output voltage. Also, extend voltage gain of the proposed converter is achieved by using a coupled-inductor. Compare with ...
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In this paper, a non-isolated high step-up soft-switching converter is proposed. The proposed converter is a boost converter combined with two voltage multiplier cells for boosting output voltage. Also, extend voltage gain of the proposed converter is achieved by using a coupled-inductor. Compare with other similar high step-up topologies with the same number of components, the proposed converter has a higher voltage gain and higher efficiency. An active clamp circuit is used so, the zero-voltage switching (ZVS) is achieved. Also, in the proposed converter, the voltage stresses on the switches are low. As the voltage stress decreases on the switch, Ron of the MOSFET is deceased and as a result conduction loss of the switch is decreased. So, the efficiency of this converter increased. In this paper, operational principle of the converter is described and the analytical, simulated results and prototype converters are validated using a 20V input and 400V output converter at 200W load.
Research Article
Renewable Energy Resources and Technologies
Mahroo Sattar; Mahmoud Samiei Moghaddam; Azita Azarfar; Nasrin Salehi; Mojtaba Vahedi
Articles in Press, Accepted Manuscript, Available Online from 28 July 2022
Abstract
Due to the high penetration of renewable energy resources and the direct impact on the power system, the issue of energy management has received more attention than researchers. Power-to-gas (P2G) system causes the surplus electricity generated from renewable energy resources in the network to be converted ...
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Due to the high penetration of renewable energy resources and the direct impact on the power system, the issue of energy management has received more attention than researchers. Power-to-gas (P2G) system causes the surplus electricity generated from renewable energy resources in the network to be converted to gas and sold to the gas network, so energy management and profitability are a matter of particular importance, considering the two grids as a joint optimization of integrated energy systems. This paper presents a scenario-based stochastic mixed-integer linear programming (MILP) model to optimize integrated gas and electricity integrated systems considering natural gas distributed generation resources, P2G systems, energy storage systems, and electric vehicles. It aims to reduce the cost of purchasing energy and cut off the power of renewable energy resources. The 33-bus power distribution network and the 7-node natural gas network are considered for the analysis of the proposed model, and the proposed model is solved using the powerful Gurobi solver, considering various cases. The results of different cases show the performance of the proposed model.
Research Article
Control and protection of microgrid
Mohammad Doostizadeh; Hassan Jalili; Abbas Babaei
Articles in Press, Accepted Manuscript, Available Online from 28 July 2022
Abstract
Severe events such as floods, earthquakes and hurricanes cause disruption in the operation of distribution networks and lead to their islanding. In such cases, if the distribution networks have microgrids, these microgrids are able to separate from the main network and exchange energy with each other ...
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Severe events such as floods, earthquakes and hurricanes cause disruption in the operation of distribution networks and lead to their islanding. In such cases, if the distribution networks have microgrids, these microgrids are able to separate from the main network and exchange energy with each other to reduce the operation and outage costs. Therefore, the energy management in a multi-microgrid network requires a decentralized operating framework to encourage microgrids to have transactions with each other by providing the necessary incentives. This paper developes a completely decentralized framework to improve the resilience of microgrids based on the organization of peer-to-peer energy transactions, taking into account the appropriate financial incentives for the participation of microgrids. The developed model protects the private data of each microgrid, such as load information and distributed generation resources, during market settlement. Using the developed decentralized model, microgrids can increase network resilience in the context of peer-to-peer energy exchanges, in addition to reducing their operating costs compared to the island mode. The proposed decentralized approach does not require a central controller and has a high convergence speed. Simulations are performed on a system with fourteen microgrids and the results are compared with the island approach to evaluate the performance of the proposed method. The simulations are performed in MATLAB R2020b environment using YALMIP toolbox. CPLEX 12.9 is also used to solve the optimization problem. The results show the efficiency of the proposed method in increasing the resilience and reducing the operating costs.
Research Article
Power electronics converters
Majid Hosseinpour; Erfan Panahlou; Ali Seifi; Abdolmajid DEjamkhooy
Articles in Press, Accepted Manuscript, Available Online from 09 August 2022
Abstract
Reducing the number of voltage sources and the power electronics components while obtaining voltage boosting in the output voltage are the key parameters in the research area of the multilevel inverter design. A lesser number of components would ensure lesser cost while higher boosting ability increases ...
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Reducing the number of voltage sources and the power electronics components while obtaining voltage boosting in the output voltage are the key parameters in the research area of the multilevel inverter design. A lesser number of components would ensure lesser cost while higher boosting ability increases its application potential. In this paper, a new H-bridge based single-source switched capacitor multilevel inverter structure is introduced. The proposed structure including two K-type units (KTU) can produce nineteen voltage levels with a voltage boosting of 1.5 times the input voltage. This converter consists of fourteen switches, two diodes, one voltage source and five capacitors with self-balancing capability. A comprehensive comparative comparison with the recent presented topologies have been carried out to investigate the performance of proposed structure. The main features of the proposed structure are utilizing single DC voltage source, self-balancing of the capacitors the capability of the input voltage, reducing the power electronics components in terms of voltage level count, and thus reducing the overall cost. The simulation results in the Matlab/simulink environment and the experimental laboratory results are provided to verify the satisfactory operation of the proposed topology.
Research Article
Low-power devices
Sahar Doolabi; Mehdi Taghizadeh; Mohammad Hossein Fatehi; Jasem Jamali
Articles in Press, Accepted Manuscript, Available Online from 02 June 2022
Abstract
In this paper, a novel general architecture for single-loop Sigma-Delta Modulator is presented by combination low-distortion and noise-coupled techniques for high-resolution low-power applications. The low-distortion technique in the proposed architecture makes its signal transfer function equal to one. ...
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In this paper, a novel general architecture for single-loop Sigma-Delta Modulator is presented by combination low-distortion and noise-coupled techniques for high-resolution low-power applications. The low-distortion technique in the proposed architecture makes its signal transfer function equal to one. In addition, the noise-coupled technique increases the order of quantization noise shaping at the modulator output. The purpose of using these techniques in design of the architecture is to increase the order of the modulator without needing to additional operational amplifiers during its circuit implementation to finally achieve a low-power modulator compared to similar ones. To reduce the required amplifiers, a second order infinite impulse response (IIR) filter was used instead of an integrator in the modulator loop. To evaluate the performance of the proposed structure, its implementation and simulation for speech recognition application, i.e., digital hearing aids, were performed in 180nm CMOS (complementary metal-oxide semiconductor) technology. For a third-order structure with a sampling rate of 64 and an input sine signal of -6dBFS and a sampling frequency of 2.56MHz, the signal to noise and distortion (SNDR) is 81.9dB and the dynamic range (DR) is 88dB. The power consumption of the modulator is 126.9 μW and its bandwidth is 20 KHz. The results of circuit and system level simulations prove its performance.
Research Article
Image and video processing
Majid Roohi; Jalil Mazloum; Mohammad Ali Pourmina; Behbod Ghalamkari
Articles in Press, Accepted Manuscript, Available Online from 11 June 2022
Abstract
One of the main reasons of death in the world, mostly affecting seniors, is brain stroke. Almost 85% of all brain strokes are ischemic due to internal bleeding in a part of the brain. Due the high mortality rate, quick diagnosic and treatment of ischemic and hemorrhagic strokes are of utmost importance. ...
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One of the main reasons of death in the world, mostly affecting seniors, is brain stroke. Almost 85% of all brain strokes are ischemic due to internal bleeding in a part of the brain. Due the high mortality rate, quick diagnosic and treatment of ischemic and hemorrhagic strokes are of utmost importance. In this paper, to realize microwave brain imaging system, a circular array-based of modified bowtie antennas located around the multilayer head phantom with a spherical target with radius of 1 cm as intracranial hemorrhage target aresimulated in CST simulator. To obtain satisfied radiation characteristics in the desired band (from 0.5-5 GHz) an appropriate matching medium is designed. First, in the processing section, a confocal image-reconstructing method based using delay and sum (DAS) and delay, multiply and sum (DMAS) beam-forming algorithms is used. The reconstructed images generated shows the usefulness of the proposed confocal method in detecting the spherical target in the range of 1 cm. The main purpose of this paper is stroke classification using deep learning approaches. For this, an image classification algorithm is developed to estimate the stroke type from reconstructed images. By using the proposed deep learning method, the reconstructed images are classified into different categories of cerebrovascular diseases using a multiclass linear support vector machine (SVM) trained with convolutional neural networks (CNN) features extracted from the images. The simulated results show the suitability of the proposed image reconstruction method for precisely localizing bleeding targets, with 89% accuracy in 9 seconds. In addition, the proposed deep-learning approach shows good performance in terms of classification, since the system does not confuse between different classes.
Review Article
Power Smart Grid
Khalegh Behrouz Dehkordi; Homa Movahednejad; Mahdi Sharifi
Articles in Press, Accepted Manuscript, Available Online from 03 May 2022
Abstract
As a promising vision toward obtaining high reliability and better energy management, nowadays power grid is transferring to the smart grid (SG). This process is changing continuously and needs advanced methods to process big data produced by different segments. Artificial intelligence methods can offer ...
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As a promising vision toward obtaining high reliability and better energy management, nowadays power grid is transferring to the smart grid (SG). This process is changing continuously and needs advanced methods to process big data produced by different segments. Artificial intelligence methods can offer data-driven services by extracting valuable information which is produced by meter devices and sensors in smart grids. To this end, machine learning (ML), deep learning (DL), reinforcement learning (RL), and deep reinforcement learning (DRL) can be applied. These methods are able to process huge amounts of data and propose an appropriate solution to solve power industry complex problems. In this paper, the state-of-the-art approaches based on artificial intelligence used by smart power grids for applications and data sources are investigated. Also, the role of big data in smart power grids, and its features such life cycle, and efficient services such as forecast, predictive maintenance, and fault detection are discussed.
Research Article
Nano electronics
Farzaneh Jahanshahi Javaran; Somayyeh Jafarali Jassbi; Hossein Khademolhosseini; Razieh Farazkish
Articles in Press, Accepted Manuscript, Available Online from 16 July 2022
Abstract
The quantum-dot cellular automata (QCA) technology is a computational technology used to build nano-scale circuits. When the dimensions of the components decrease, the sensitivity of the circuit increases and the quantum circuits become more vulnerable to the occurrence of defects and radiation in the ...
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The quantum-dot cellular automata (QCA) technology is a computational technology used to build nano-scale circuits. When the dimensions of the components decrease, the sensitivity of the circuit increases and the quantum circuits become more vulnerable to the occurrence of defects and radiation in the environment. The two major gates in this technology are inverter and majority gates, and most circuits are built based on these two gates. This paper aimed to design a seven-input majority gate in quantum-dot cellular automata by imposing low overhead on the circuit. Using a majority gate with more inputs reduces cell count, latency, and complexity in the QCA circuit. However, perhaps the need to use the seven-input gate is not yet felt we then design and implement a number of logic circuits. A new 7-input majority gate is designed in this paper, with 19 cells. The proposed structure is single-layer with an occupied area of 24564 nm2 that produces the correct output in one clock phase, then a four-input AND gate, a four-input OR gate, a two-input XOR gate, a two-input XNOR, a three-input XOR gate and a full adder are implemented using the designed seven-input gate. Including all multi-bit full adders, using the proposed seven-input gate. The proposed full adder is designed by the seven-input majority gate proposed and a fault-tolerant three-input majority gate. Therefore, it can be said that the designed full adder is somewhat tolerable, that means, it is somewhat tolerable against the fault that occur in this technology. QCAPro software is used to analyze the energy consumption of the recommended structure. Then, the circuit performance is evaluated using QCADesigner 2.0.3 simulator software for quantum-dot cellular automata.
Research Article
Telecommunications Engineering
َAlireza Ahmadyfard; Hamed Fathi; Hossein Khosravi
Articles in Press, Accepted Manuscript, Available Online from 17 July 2022
Abstract
Virtual clothing try-on can be a great option for the online clothing industry. In this paper, we propose a method to map the 3D model of selected clothes on the customer's 3D model. For this purpose, the point clouds of the customer and mannequin are captured by the Kinect camera. These models are segmented ...
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Virtual clothing try-on can be a great option for the online clothing industry. In this paper, we propose a method to map the 3D model of selected clothes on the customer's 3D model. For this purpose, the point clouds of the customer and mannequin are captured by the Kinect camera. These models are segmented into corresponding parts using surface descriptors to ease the matching. Then, individual parts of the mannequin are mapped on the corresponding parts of the customer. Finally, the color information from the clothes on the mannequin is transformed to the customer's body point cloud. The proposed method has two main advantages over the existing methods. First, no need for an expert to design 3D models in graphic software. Second, any style and texture of clothes can be chosen by the customer. The results of the experiments show the ability of the proposed method compared to existing methods.
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