Experimental Lognormal Modeling of Harmonics Power of Switched-Mode Power Supplies

Dima Bykhovsky

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


Switched-mode power supplies (SMPSs) are an important component in many electrical systems. As a highly non-linear device, an unavoidable side-effect of SMPS operation is its high harmonics power. One of the ways to model the harmonic power consumption profile is in terms of a random process. This paper addresses random process modeling with a corresponding probability density function (PDF), auto-covariance function (ACF) and spectral coherence. The consumed harmonics power was evaluated under different load conditions and is based on experimental results of current consumption from SMPSs. The analysis shows that harmonics power may be modeled by a lognormal distribution that is time-domain uncorrelated, and that has spectral-domain correlation modeled by a Gaussian radial basis function. Extensive discussion on the modeling results is also provided. Moreover, random simulation approach based on the modeling results was proposed.

Original languageEnglish
Article number653
Issue number2
StatePublished - 1 Jan 2022
Externally publishedYes


  • Auto-covariance function
  • Electical network
  • Lognormal distribution
  • Spectral coherence
  • Switched-mode power supply (SMPS)

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Fuel Technology
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering


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