Power and Energy
The measurements in this study were carried out at Xidian University's north campus in China. The building density and height in this area are typical of urban environments, and there are fewer uncertainties that could affect the experimental results. Figure shows an aerial view of the measurement environment, including the chosen Tx and Rx locations. Centered at each receiver, a square with a side length 15 times the wavelength of the transmitted signal was constructed. The receiving antenna was moved inside each square following the path shown in the figure.
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This dataset presents the captures of data packets in Wireshark for the scalability analysis of the Process Bus in Digital Substations based on the traffic of Sampled Values, through connection in redundant local area networks (LAN A and LAN B). LAN A is a 100 Mbps network that is saturated close to 10 Sampled Values suscriptions, while LAN B is a 1Gbps network that is not saturated and is used as a reference for the loss of data packets in each case. Emulated SV data is provided by software and a laboratory signal injector.
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144 Views
This dataset contains 70,176 records with data from 2021 - 01 - 11 onwards. It features eight columns including `date`, `pressure`, `humidity`, etc. The `date` is in datetime format, while others are of float type. These data likely relate to environmental factors and photovoltaic real - power, enabling studies on photovoltaic performance and its influencing elements.
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59 Views
With the increasing uncertainties introduced by intermittent renewable energy sources, as a critical decision-making tool for power system operations, security-constrained unit commitment (SCUC) provides an efficient solution for economically and robustly responding to the changes in the power system operating state. In this study, a graph reinforcement learning (GRL)-based approach is proposed to address the day-ahead SCUC problem, incorporating alternating current (AC) power flow constraints.
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64 Views
This video shows the experiments of full power transfer of a new CP-TFQP magnetic topology. Power transfer is demonstrated at 50 kW, when the system is both fully aligned and misaligned. The proposed system operates at consistent efficiency, with a lower input dc bus range compared to traditional systems. The TFQP topology is the main contribution, and comprises four coils, built in only three layers.
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33 Views
Dual active bridge (DAB) converter is an important converter for electric vehicles, energy storage systems. Data sets are introduced to control the DC-DC power control. Triple phase-shift of DAB is controlled by the range of zero voltage switching. Optimal switching to reduce high current stress DC-DC converter is In presented data sets are used with python program to execute the different stages of machine learning. Performance of all stages are well addressed each data output file.
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50 ViewsDual active bridge (DAB) converter is an important converter for electric vehicles, energy storage systems. Data sets are introduced to control the DC-DC power control. Triple phase-shift of DAB is controlled by the range of zero voltage switching. Optimal switching to reduce high current stress DC-DC converter is In presented data sets are used with python program to execute the different stages of machine learning. Performance of all stages are well addressed each data output file.
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40 Views
High-power radio frequency converters (RFCs) need to deliver a wide-range power against variable load impedance. However, it is difficult to achieve a wide-range power regulation and zero voltage switching (ZVS) simultaneously. To address thi.s issue, this paper proposes a DC-link parallel AC-link series (DPAS) multiple power amplifier (MPA) architecture with outphasing modulation. The generalized mathematical model of the proposed topology is presented. The system’s soft-switching range and criterion are analyzed.
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39 Views
An In-depth Analysis of Thermal Management Systems for Wireless Charging in Electric Vehicles
1. Introduction
Wireless charging technology is revolutionizing electric vehicles (EVs) by offering a convenient alternative to traditional charging. This technology enhances user experience and supports the growth of autonomous EV fleets. As electrification of transportation accelerates, effective thermal management becomes crucial to address heat generation during inductive power transfer, ensuring system reliability and longevity.
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132 Views
This dataset provides a comprehensive record of wind power generation and its relationship with oceanic-atmospheric indices, facilitating advanced forecasting and analytical research in renewable energy. The dataset comprises 12 input parameters, including average wind speed, which serves as a crucial predictor, while wind power generation acts as the output variable.
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167 Views