Power and Energy
This DATASET serves as a contemporary benchmark data set for solving multiple (or all) real-valued solutions for algebraic power flow problems. When this DATASET was originally created in 2019, it contained a huge collection of real-valued power flow solutions (up to dozens of thousands for some cases) for five standard IEEE test cases, i.e.
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This dataset lets the users to rapidally estimate electric generator size, mass and losses for given power requirement, speed and DC bus voltage.This is accomplished through the metamodeling of a normalized optimization based machine design framework. The method is applied to a permanent magnet ac machine. This work is developed using the paper Metamodeling of Rotating Electric Machinery published in IEEE Transactions on Energy Conversion.
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This report outlines the derivation of the first-, second-, and third-order Taylor series expansions of the power flow solution; it is the Electronic Companion of the following paper:
R. A. Jabr, “High-order approximate power flow solutions and circular arithmetic applications,” IEEE Transactions on Power Systems, vol. 34, no. 6, pp. 5053-5062, November 2019.
The derivation is carried out in complex variables via the use of Wirtinger calculus.
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This data is associated to an optimization model for generation expansion planning considering energy-based and power-based formulations. The data contains the information used in the case studies related to demand and renewable time series, as well as the technical characteristic of generation and storage units.
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Seeking to improve wireless power transfer efficiency, a low-cost embedded circuit for self-tuning of impedance matching is proposed and successfully demonstrated. Applying the Maximum Power Point Tracking (MPPT) algorithm, the equivalent capacitance value on a L-match circuit is automatically changed.
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358 Views
Accurate short-term load forecasting (STLF) plays an increasingly important role in reliable and economical power system operations. This dataset contains The University of Texas at Dallas (UTD) campus load data with 13 buildings, together with 20 weather and calendar features. The dataset spans from 01/01/2014 to 12/31/2015 with an hourly resolution. The dataset is beneficial to various research such as STLF.
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The New York City Energy and Water Performance Map maps benchmarking data across the city, allowing viewers to see data by individual buildings, building type, building size, and year built.
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This is the datasheet for an examined 30-unit test system including 14 DG (indexed from 1 to 14), 4 RG (indexed from 15 to 18), 4 FD (indexed from 19 to 22), 4 ID (indexed from 23 to 26), and 4 ES units (indexed from 27 to 30).
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These data are collected from a 12-bus and a 32-bus DC microgrid. The total operating cost of these two microgrids are optimized by an adaptive Differential Evolution algorithm using real-time pricing.
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This software application is a complement for the paper entitled "A Single-Phase Transformer-Based Cascaded Asymmetric Multilevel Inverter with Balanced Power Distribution".
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