This paper proposes a methodology for improving the representation of component-based models intended for harmonic analysis of generic aggregate LED lamp loads by deriving pdfs of the parameter values. The methodology is illustrated using time-domain current waveform measurements of LED lamps with switch-mode driver circuits (without power factor correction). Following the model derivation, Monte Carlo simulations are used to synthesize generic aggregate LED lamp loads, which are compared against random aggregations of 51 measured lamps. It is demonstrated that a single model with mean values of the parameters, scaled by the total power demand, can be used to simplify the representation of generic aggregate LED lamp loads in large-scale emission assessment studies. Correction factors, which reduce the effect of this simplification in frequency domain applications, are also derived and discussed.

Probabilistic Component-Based Models for Harmonic Analysis of Generic Aggregate LED Lamp Loads

Langella R.;Testa A.
2020

Abstract

This paper proposes a methodology for improving the representation of component-based models intended for harmonic analysis of generic aggregate LED lamp loads by deriving pdfs of the parameter values. The methodology is illustrated using time-domain current waveform measurements of LED lamps with switch-mode driver circuits (without power factor correction). Following the model derivation, Monte Carlo simulations are used to synthesize generic aggregate LED lamp loads, which are compared against random aggregations of 51 measured lamps. It is demonstrated that a single model with mean values of the parameters, scaled by the total power demand, can be used to simplify the representation of generic aggregate LED lamp loads in large-scale emission assessment studies. Correction factors, which reduce the effect of this simplification in frequency domain applications, are also derived and discussed.
2020
978-1-7281-3697-4
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11591/469967
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