2022
DOI: 10.1016/j.epsr.2022.107960
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The random varying loads and their impacts on the performance of smart grids

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Cited by 3 publications
(6 citation statements)
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“…When modeling random processes to study heating phenomena, it is possible to replace one type of autocorrelation function with another, because the determining factor in this case is the energy of the random process, which is related to the area under the autocorrelation function curve. For example, when replacing an exponential-cosine autocorrelation function of the form ( 16) with an exponential one of the form (15), its damping coefficient will be determined by the expression found in the equality of the areas under the curves of autocorrelation functions (15) and ( 16) [26].…”
Section: Fast-varying Non-linear Loadsmentioning
confidence: 99%
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“…When modeling random processes to study heating phenomena, it is possible to replace one type of autocorrelation function with another, because the determining factor in this case is the energy of the random process, which is related to the area under the autocorrelation function curve. For example, when replacing an exponential-cosine autocorrelation function of the form ( 16) with an exponential one of the form (15), its damping coefficient will be determined by the expression found in the equality of the areas under the curves of autocorrelation functions (15) and ( 16) [26].…”
Section: Fast-varying Non-linear Loadsmentioning
confidence: 99%
“…As an example, Figure 2a shows one of the implementations of the current curve of phase A of the arc furnace for melting EAF-100 steel, which is an amplitude-modulated oscillation in accordance with the expression (13). The modulating random process ξ(t) is given by an exponential autocorrelation function (15), where the variance of the current oscillations is D ξ = 9331.2 A 2 . Figure 2b shows the corresponding frequency spectrum of the phase A network current curve of the EAF-100 furnace, obtained using a fast Fourier transform directly from the simulated current curve.…”
Section: Fast-varying Non-linear Loadsmentioning
confidence: 99%
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