The Research Of Harmonic Detection And Analysis Method Of Background Harmonic In Traction Power Supply System

The harm of harmonic generated by locomotive of electrified railway, which uses electricity along the railway, is more widely and seriously than other harmonic souse to the power system. So it has an important practical significance for the accurate harmonic detection to the power supply system of electrified railway. Background Harmonic is directly related to the responsibility distinction of harmonic influence, so the study of its emission level provides a basis for clearing the responsibility of harmonic pollution.On the base of the summarization of the methods of harmonic detection, this paper proposes a harmonic detection method based on optimized ADALINE Neural Network and the analysis to the harmonic detection of Primary Current of traction substation of electrified railway demonstrate results that this method has a higher veracity. Based on various estimation methods of harmonic emission level, this paper presents a new estimation method of harmonic emission level based on the enhancive robust regression and also illustrates the feasibility of the method by using the example to analyze the Background Harmonics on the Point of Common Connection.