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- Volume 15, Issue 5, 2022
Recent Advances in Electrical & Electronic Engineering - Volume 15, Issue 5, 2022
Volume 15, Issue 5, 2022
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Concepts, Configurations, and Challenges of Solid-State Transformer: A Review
Authors: Jayrajsinh B. Solanki and Kalpeshkumar J. ChudasamaRapid and sudden increase in the use of small Distributed Renewable Energy Resources (DRER) and Distributed Energy Storage (DES), reduced compact dynamic electrical power consumer-like electrical vehicle loads, the requirement of a bidirectional power flow communication network to exchange critical information, other ancillary services, etc. has to be envisaged and fulfilled by a future smart distribution grid system. A Read More
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Comparative Study of Phasor and Frequency Estimation Algorithms for Distribution Networks
More LessNext-generation phasor measurement units (PMUs) are critical for proper distribution network monitoring in future smart grids. In the highly dynamic environments of future distribution systems, more advanced algorithms for detecting amplitude, phase, and frequency changes in power waveforms will be required. In this context, the goal of this study is to discuss the advantages and disadvantages of commonly used PM Read More
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A Novel Asymmetric Multilevel Inverter with Reduced Number of Switches for Grid-tied Solar PV System
Authors: Asapu Siva and Vanitha RajendranBackground & Objective: In single-phase solar PV applications, the module voltage level is limited; therefore, a coupled step-up transformer is a mandatory portion to interconnect into the grid. However, due to the presence of a transformer, the overall cost and size of the single-phase grid-tied solar PV system are higher. A multilevel inverter is an alternative solution to solve these issues, but it requires more switches. Metho Read More
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Estimating COVID-19 Cases Using Machine Learning Regression Algorithms
Authors: Vaishali Deshwal, Vimal Kumar, Rati Shukla and Vikash YadavBackground: Coronavirus refers to a large group of RNA viruses that infects the respiratory tract in humans and also causes diseases in birds and mammals. SARS-CoV-2 gives rise to the infectious disease “COVID-19”. In March 2020, coronavirus was declared a pandemic by the WHO. The transmission rate of COVID-19 has been increasing rapidly; thus, it becomes indispensable to estimate the number of confirmed infecte Read More
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Fault Diagnosis Method of Three-phase Inverter Based on Time Convolutional Neural Network
More LessPower electronics converter is widely used in various applications. When the converter failure occurs, the system will be damaged, so it is of great significance to timely detect the fault and apply effective protection. In this paper, the open-circuit fault of the three-phase inverter is taken as the main object. The time convolutional neural network (TCN) model is designed to realize the fault diagnosis strategy of the inverter based Read More
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Development of High Voltage DC Power Supply from Tesla Coil Using Hybrid Energy Sources
Background: High Voltage Direct Current (HVDC) is a well-proven technology used to transmit electricity over long distances by overhead transmission lines or submarine cables. It is also used to interconnect separate power systems, where traditional Alternating Current (AC) connections cannot be used. Objective: In this paper, an HVDC supply has been proposed with the Tesla coil using hybrid energy sources Read More
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Low-Power Approximate Arithmetic Circuits for IoT Devices
Authors: Garima Thakur, Harsh Sohal and Shruti JainAim: The aim of the study was to implement low-power approximate arithmetic circuits for IoT devices. Background: Information transmitted via electronic media is exposed to security threats. With the advancement of internet technology, the devices linked to the internet are growing, leading to the Internet of Things (IoT). Objective: IoT and big data are the prominent computing paradigms that employ approximate co Read More
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