# Power and Energy

The authors show parts of the data obtained from the simulation model and the used MATLAB program. The detailed steps are shown as follows:

*Step*** 1**: Import data into the MATLAB software.

*Step*** 2**: Run the program named ‘fft_algorithm’.

*Step*** 3**: Run the program named ‘Solve_XX’ based on the fault type of data.

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This paper proposes two new monitoring methods capable of detecting electrical disturbances in low voltage grids. Both approaches rely on machine learning techniques that classify voltage signals in the frequency domain. The first technique here proposed uses the Fourier Transform (FT) of the voltage waveform and classifies the corresponding complex coefficients through a Multilayer neural network with Multi-Valued Neurons (MLMVN). In this case, the structure of the classifier has three layers and a small number of neurons in the hidden layer.

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This vedio recorded the high voltage test of a medium voltage (MV) medium frequency transformer (MFT). The voltage was 12.4 kVrms with a frequency of 50 Hz, which lasted for 60 seconds. The transformer passed the test.

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The presented dataset is a hybrid solution between the simulated datasets and the ones based on real data. Furthermore, the main advantages and uniquenesses of the proposed work are: i) data variability, in terms of the operating states of the electrical loads and the adoption of appropriate consumption models; ii) the total number of available electrical parameters (433 in our case) enormously larger than the above-cited datasets, as the full analysis of frequency behaviors and harmonic computations; iii) the seasonality of the data.

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The failure of some electrical equipment is not due to high temperature but particular heat distribution and characteristics.

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Transient stability-constrained optimal power flow (TSCOPF) models comprehensively analyze the security and economic operation of power systems. However, they require a high computational effort and can suffer from convergence problems when applied to large systems. This study analyzes the performance of eleven numerical integration algorithms applied to ordinary differential equations that represent power system dynamics in a TSCOPF model.

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Analysis method of Dissolved gas in transformer oil based on EW Pentagon

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Renewable generation settings with different penetration levels of renewables in IEEE 57-bus and Illinois 200-bus systems

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