Power
Milad Golzarzadeh; Hashem Oraee; Babak Ganji
Abstract
In this paper, the Segmental Translator Permanent Magnet Linear Switched Reluctance Motor (STPMLSRM) has been introduced as a new type of improved Linear Switched Reluctance Motor (LSRM), which increases the flux density in the air-gap by using Permanent Magnets (PMs) in the stator yoke. Also, the moving ...
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In this paper, the Segmental Translator Permanent Magnet Linear Switched Reluctance Motor (STPMLSRM) has been introduced as a new type of improved Linear Switched Reluctance Motor (LSRM), which increases the flux density in the air-gap by using Permanent Magnets (PMs) in the stator yoke. Also, the moving part does not have a yoke, and discrete segments are used instead of the yoke, which reduces the volume of active magnetic materials. In order to better evaluate, the segmental translator permanent magnet linear switched reluctance motor is compared with conventional linear switched reluctance motor and Segmental Translator Linear Switched Reluctance Motor (STLSRM) without permanent magnet, then their different aspects are discussed. In order to validate the introduced STPMLSRM, based on the Finite Element Method (FEM), the static and dynamic characteristics of linear motors including static flux-linkage, static force, co-energy, instantaneous current waveform, and instantaneous thrust waveform are predicted and compared. These comparisons show that the STPMLSRM has better performance characteristics than the conventional LSRM and STLSRM.
Electronics
Peyman Vafadoost Sabzevar; Ahmad Hajipour; Hamidreza Tavakoli
Abstract
One of the main challenges in the field of control is the use of a stable controller and its lack of dependence on the system model and dynamics so that the input signal is applied to the system based on the existing needs. One of the areas that need to control and apply the input signal is type 1 diabetes, ...
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One of the main challenges in the field of control is the use of a stable controller and its lack of dependence on the system model and dynamics so that the input signal is applied to the system based on the existing needs. One of the areas that need to control and apply the input signal is type 1 diabetes, where people with this disease need constant and regular insulin injections based on blood glucose concentration. Based on this, in this article, two free model methods called the Q-learning algorithm and PID have been used to determine insulin dose, and the results of insulin dose injection show the results and high performance of the Q-learning algorithm in determining insulin dose. This algorithm is one of the methods based on artificial intelligence that discovers the optimal policy based on trial and error. Finally, the Q-learning algorithm has been investigated in the presence of noise and its stability has been proven to ensure the performance of the controller.
Telecommunications
Babak Sadeghi; Seyed Mohammad Sajad Sadough
Abstract
This paper explores the integration of intelligent reflecting surfaces (IRS) with visible light communication (VLC) to enhance optical communication reliability and mitigate link blockage. We particularly focus on a patient vital signal monitoring system in a hospital, where a wireless optical device-to-device ...
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This paper explores the integration of intelligent reflecting surfaces (IRS) with visible light communication (VLC) to enhance optical communication reliability and mitigate link blockage. We particularly focus on a patient vital signal monitoring system in a hospital, where a wireless optical device-to-device (D2D) unit transmits signals to a monitoring center. Our study highlights the benefits of using an IRS, demonstrating that a 35-unit IRS array can double the received optical power compared to traditional non-line-of-sight (NLOS) links. We also propose an optimal placement strategy for IRS on indoor area walls to maximize the signal-to-noise ratio (SNR) and minimize the bit error rate (BER), considering constraints specific to optical wireless communication. We formulate and solve an optimization problem to determine the best IRS location, aimed at achieving ubiquitous communication with minimal BER. Numerical results illustrate the system's effectiveness in enhancing optical link reliability for patient monitoring. The findings indicate that optimal IRS placement can result in a BER as low as 2.48×10-8, and with adjustments to the photodetector orientation, an even lower BER of around 6.32×10-10 can be achieved without increasing transmitter power. This research underscores the potential of IRS in improving the performance of VLC systems, particularly in critical applications such as healthcare monitoring.
Power
Yasaman Abbasi Chahardah Cheriki; Hossein Farzin; Elaheh Mashhour
Abstract
In recent decades, the probability of natural disasters has increased due to climate change. As a result, the discussion of resilience in the power system literature was raised. One consequence of these events is the unwanted operation of some power system equipment, which causes unexpected blackouts ...
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In recent decades, the probability of natural disasters has increased due to climate change. As a result, the discussion of resilience in the power system literature was raised. One consequence of these events is the unwanted operation of some power system equipment, which causes unexpected blackouts and increases the value of energy not supplied (ENS) in the system. Insulators are important components of the power system that have a great impact on the continuity of supply. Electrical flashover in insulators causes a decrease in their insulation strength and might lead to short circuit faults in the power system. In this paper, the effect of dust storms and humidity on the probability of transmission network insulators flashover is investigated. The studied insulator is simulated in Electrical AutoCAD software, and after applying pollution and moisture in COMSOL-Multiphysics software, the distribution of potential and electric field on the studied insulator is obtained using the finite element method (FEM). In order to determine the probability of insulation flashover, the candidate points for arc occurrence are selected using the roulette wheel method in MATLAB software, and the insulation flashover probability curve is determined in different amounts of dust pollution and three humidity levels of 65%, 80%, and 95%. The effects of increasing the creepage distance and using silicone rubber materials that have hydrophobic properties are investigated, and various sensitivity analyses are conducted. The results indicate that both solutions can significantly reduce the flashover probability of transmission insulators.
Power
Amir Ghaedi; Mehrdad Mahmoudian
Abstract
In solar power towers or central receiver generation units, solar radiation is concentrated on a central receiver placed at the top of a tower through a heliostat field. The concentrated solar energy can generate superheated steam in a Rankine cycle to produce electricity. Since solar energy fluctuates, ...
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In solar power towers or central receiver generation units, solar radiation is concentrated on a central receiver placed at the top of a tower through a heliostat field. The concentrated solar energy can generate superheated steam in a Rankine cycle to produce electricity. Since solar energy fluctuates, the output power of solar tower power plants changes frequently, and many aspects of power networks incorporating high-capacity solar tower power plants may be affected, which must be investigated. For this purpose, this paper presents a reliability model for solar power generation units based on the failure of component devices and changes in produced power. To determine the reliability of these plants, the effects of failures in their elements, including the heliostat field, central receiver, thermodynamic cycle components, generator, cable, electrical converter, and transformer, on overall outage are considered. To decrease the number of states related to the reliability model of the solar power generation unit, the XB criterion is selected for calculation, and a fuzzy c-means clustering approach is used. The proposed multi-state reliability model is implemented to evaluate the adequacy assessment of RBTS and IEEE-RTS as two reliability test systems. Important reliability indices, including load and energy-curtailed indices and those associated with the system's capability to supply the required load, are calculated.