Power and Energy

<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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This dataset contains:
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This study is utilized for submodule open-circuit fault detection uncertainty analysis of modular multilevel converters. The dataset consists of 8 uncertainty factors and 15 system variables under four operation scenarios. The 1000 sets of uncertainty factor samples are generated randomly as initial configuration of the system. The 15 system variables are obtained by 1000 Monte Carlo simulations. We found that there are 153 residual samples exceeded the threshold of 0.8, which indicated a high false alarm rate.
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This paper presents the design, analysis and control of an original low speed and high torque five-phase external rotor permanent magnet synchronous machine (PMSM) applied for the direct drive of coal conveying system. Firstly, the design considerations including the windings factors and the magnetomotive force (MMF) are given. Secondly, according to the performance requirements, the preliminary dimensions of the machine are firstly calculated using the magnetic circuit method, and then optimized using a Kriging model optimization strategy.
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Anomaly detection in Phasor Measurement Unit (PMU) data requires high-quality, realistic labeled datasets for algorithm training and validation. Obtaining real field labelled data is challenging due to privacy, security concerns, and the rarity of certain anomalies, making a robust testbed indispensable. This paper presents the development and implementation of a Hardware-in-the-Loop (HIL) Synchrophasor Testbed designed for realistic data generation for testing and validating PMU anomaly detection algorithms.
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The dataset includes the regulatory, utility and DGENCO data for distribution planning for a utility under regulated monopoly. The regulatory data includes benchmark EENSC values, and elasticity values. The utility data involves bus, and prospective branch data. The load data corresponds to increase in load with respect to planning stages. The branch data corresponds to all candidate branch locations of all types. The DGENCO data corresponds the candidate DG locations with maximum size of each Distributed Generation.
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The dataset includes active power measurements for a residential prosumer located in Mogosoaia, Romania, collected at 1 frame/second reporting rate over 12 consecutive months.
Always-on appliances include the refrigerator and the wireless router. Several other appliances are installed in the residential unit: washing machine, lighting fixtures, electrical iron, vacuum cleaner, various ICT charging devices, and air conditioning (seldom used).
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A dataset characterizing the parameters of a stepped piezoelectric cantilever beam using various geometric specifications is introduced. The dataset also shows the electric potential generated at each layer when exposed to a specific excitation frequency. The primary application of the cantilever is in ambient vibration energy harvesting, where the piezoelectric cantilever beam plays a crucial role in converting mechanical vibrations into electrical energy.
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This letter presents a new formulation for the loss-concerned dc power flow that is suitable for optimization-based power system operation and planning. The proposed approach equivalently recasts a previously reported model that explicitly represents the differences in the power flows at the receiving
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