Абстрактный

Harmonics Impedance Measurement Using Neural Network

A.S.S.Murugan , D.Muthurakesh

Now a days Harmonic Distortion in electric power system is a major power quality problem that has been attracting significant attention of engineering community. In order to evaluate the Total Harmonic Distortion(THD) and the harmonic current component is a critical issue. In this paper proposes a new method to measure the harmonic impedance at the metering point. Feed Forward Back Propagation Neural Network(FF-BPNN) is employed to measure the harmonic impedance in a power system. The measured Harmonic impedance is used to identify the harmonic source. The proposed technique is proves that the trained Neural Network(NN) are able to produce exact identification of harmonic sources.

Индексировано в

Академические ключи
ResearchBible
CiteFactor
Космос ЕСЛИ
РефСик
Университет Хамдарда
Всемирный каталог научных журналов
научный руководитель
Импакт-фактор Международного инновационного журнала (IIJIF)
Международный институт организованных исследований (I2OR)
Cosmos

Посмотреть больше