Power and Energy

<p><strong><span style="font-size: 9.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 等线; mso-fareast-theme-font: minor-fareast; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">When the random pulse width modulation (RPWM) technique is applied to insulated gate bipolar transistor (IGBT) modules, the switching losses are decreased to different degrees. In order to study the principle of this control method, this paper starts from the perspective of Joule heating principle.

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The efficient operation of interconnected power systems relies on Load Frequency Control (LFC) to maintain stable frequency and regulate tie-line power flow between distinct areas. In modern setups, LFC parameters are monitored and processed in real-time through cloud-based platforms, enabling centralized control and optimization. However, this introduces vulnerabilities, as demonstrated by the susceptibility to attacks such as scaling, ramp, and random manipulations of data transmitted between areas and the cloud server.

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The traditional wired charging mode requiresautonomous underwater vehicles (AUVs) to be salvaged to the ship for energy replenishment, which cannot work continuously and is complicated to operate. To address this issue, since the battery voltages of AUVs are low, a convenient high-current wireless power transfer (WPT) system is introduced for the AUV batteries with low-voltage, it may cause large losses in the receiving coil and an unbalanced current-sharing issue among the rectifier diodes.

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This database contains Synthetic High-Voltage Power Line Insulator Images.

There are two sets of images: one for image segmentation and another for image classification.

The first set contains images with different types of materials and landscapes, including the following landscape types: Mountains, Forest, Desert, City, Stream, Plantation. Each of the above-mentioned landscape types consists of 2,627 images per insulator type, which can be Ceramic, Polymeric or made of Glass, with a total of 47,286 distinct images.

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This is the PSCAD simulation for the article "Grid Impedance Adaptive VSG Control Based on Accurate Small-Signal Modelling".

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We investigated the long term functionality of the designed PMCS in a practical use case where we monitored plant growth of classical horticulture Dianthus flowers (Dianthus carthusianorum) under the effect of plastic mulching over a period of 4 months. This use case represents a common phenological monitoring case that can be used in agricultural studies. For this, we integrated our PMCS in an embedded vision camera equipped with the openMV H7 Plus board in a waterproof housing [26]. The system shown in Fig.

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In high renewable energy sources penetrated multiple microgrids (MMGs), conventional fast timescale load frequency control (LFC) and slow timescale economic dispatch become much less economically efficient. In this paper, the economy-oriented LFC problem of nonlinear MMGs is framed and a distributed optimal disturbance rejection control method is proposed to address this problem. In particular, this method has excellent anti-disturbance capability in dealing with power imbalances, critical parameter variations, and measurement noises.

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The 54-bus distribution system provided in this dataset is based on the data provided in [1] and was developed in the line of research first reported in [2]. This dataset was used in the paper yet to be published, where we developed a model that can plan a distribution system considering wildfire-prone climate conditions. The model can make smart decisions about line investments and grid topology to reduce line failure probability and possible wildfires ignited by those failures.

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259 Views

The goal of the Smart* project is to optimize home energy consumption. Available here is a wide variety of data collected from three real homes, including electrical (usage and generation), environmental (e.g., temperature and humidity), and operational (e.g., wall switch events). Also available is minute-level electricity usage data from 400+ anonymous homes.

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947 Views

This is the dataset of the paper: A Non-Invasive Circuit Breaker Arc Duration Measurement Method with Improved Robustness Based on Vibration–Sound Fusion and Convolutional Neural Network (https://doi.org/10.3390/en16186551). Here is the abstract of the paper. Previous studies have shown that the contact wear estimation of circuit breakers can be based on the accumulative arc duration. However, one problem that remains unresolved is how to reliably measure the arc duration.

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