Power and Energy
Accurately detecting power line defects under diverse weather conditions is crucial for ensuring power grid reliability and safety. Existing power line inspection datasets, while valuable, often lack the diversity needed for training robust machine learning models, particularly for adverse weather scenarios like fog, rain, and nighttime conditions. This paper addresses this limitation by introducing a novel framework for generating synthetic power line images under diverse weather conditions, thereby enhancing the diversity and robustness of power line inspection systems.
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267 Views
This research focuses on simulating a transformer
using electromagnetic field solver software: FEMM and COMSOL
Multiphysics®. These tools are used to simulate and extract
the model of a three-winding transformer. The primary objective
of the extracted model is to predict key magnetic parameters,
such as leakage and magnetizing inductances. These inductances
play a critical role in switch-mode power converter topologies,
ensuring proper operation and achieving high efficiency through
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82 Views
Different countries have various grid voltages, and different electric vehicles (EVs) have different chassis heights. Conventional EV wireless power transfer (WPT) solutions require designing different circuits for various input voltages and using different compensation circuits for different transmission distance classes which hinders the widespread adoption of the WPT technique. To address these two issues, this paper proposes an EV WPT system based on series-parallel inverters. The mathematical model of this system is established, and the expression for output power is derived.
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95 Views
Currently, cybersecurity in digital substations is a topic of wide interest for companies and the academic community, which demands for its study the analysis of datasets (i.e., traffic collected during the operation of a substation).
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355 Views
The pulse parameter-editable nanosecond pulse power supply (NPPS) based on all-solid-state Marx power topology is one of the critical excitation sources for studying the characteristics of atmospheric pressure low-temperature plasma (APLTP), its efficient applications, and the regulation of discharge characteristic. We have developed a 20kV/400W nanosecond pulse power supply with editable pulse edge parameters to validate the effectiveness of the diode-capacitor network (DCN) method.
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64 Views
Smart grids today are characterized by the integration of distributed energy resources, including renewable energy sources, traditional power sources, and storage systems. These components typically employ various control technologies that interface with generators through smart inverters, making them susceptible to numerous cyber threats. To address this vulnerability, there is a crucial need for datasets that document attacks on these systems, enabling risk evaluation and the development of effective monitoring algorithms. This dataset
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365 Views
<p>This dataset consists in an ANAREDE equivalent grid for the Bongi Substation, located in in the Brazilian city of Recife. It contains the configurations for both the year of 2023 and the forecasts for the year 2027. The file for the year 2027 takes into account that the reconfiguration will occur in this substation as suggested by the Brazilian institutions responsible for the operation and planning of the electrical system. The demand of energy was based on the research done by the brazilian institution of Empresa de Pesquisa Energética.
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69 Views
Electric Vehicles Charging Station with Photovoltaic Panels
This dataset contains the model and simulation output results in Matlab/Simulink of a three-phase grid-connected charging station with PV panels for electric vehicles realized in a work submitted to the 13th IEEE International Conference and Exposition on Electrical and Power Engineering EPEi 2024, Iasi, Romania, October 17-19, 2024 (https://www.epe.tuiasi.ro/).
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436 Views
<p>The dataset provided contains the active power profiles, measured in MW, of photovoltaic (PV) and wind power plants, along with the active power consumed by loads in a 33-node distribution network. The profiles span four distinct weeks, specifically the second weeks of January, May, August, and October in 2022. These weeks were selected to represent the different seasons, thereby ensuring a comprehensive analysis across varying seasonal conditions.
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400 Views
This dataset contains:
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348 Views