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Model of Electronic Ballast Compact Fluorescent Lamps

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Jun 2014 Spain Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Transactions on Power Delivery, volume 29, pages 1,363-1,371 (issn: 0885-8977, eissn: 1937-4208,

Authors: Molina, Julio; Sainz Sapera, Luis;

doi: 10.1109/tpwrd.2013.2284095

handle: 2117/23636

Model of Electronic Ballast Compact Fluorescent Lamps

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Abstract

The use of compact fluorescent lamps (CFLs) in utility distribution systems is spreading due to energy consumption concerns. This can damage system power quality because CFLs are nonlinear harmonic injecting loads. For this reason, CFL modeling must be studied to predict their harmonic current emissions into networks. This paper presents a CFL model for calculating these emissions, as well as a simple estimation algorithm for determining the model parameters from experimental measurements. They are both validated with laboratory tests.

Country

Spain

Related Organizations

Keywords

Estimation procedures, Llums, Compact fluorescent lamps (CFLs), Nonlinear load modeling, :Energies::Energia elèctrica [Àrees temàtiques de la UPC], Àrees temàtiques de la UPC::Energies::Energia elèctrica, Power system harmonics, Lamps

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	33
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%