Title :
Determining IEEE 519 Compliance of a Customer in a Power System
Author :
Mazumdar, J. ; Harley, R.G.
Author_Institution :
Georgia Inst. of Technol., Atlanta
Abstract :
Nonlinear loads inject harmonics in a power distribution network. The interaction of the nonlinear load harmonics with the network impedances creates voltage distortions at the point of common coupling (PCC) which in turn affects other loads connected to the same PCC. This paper presents a neural network based technique to establish determine the true current harmonic distortion of a customer in the presence of distorted voltage. The proposed method is applied at the primary metering point of a customer in a distribution network and the results are used to establish compliance with IEEE 519.
Keywords :
distribution networks; harmonic distortion; neural nets; power engineering computing; power system harmonics; IEEE 519 Compliance; customer; network impedances; neural network based technique; nonlinear load harmonics; point of common coupling; power distribution network; primary metering point; voltage distortions; Current measurement; Distortion measurement; Harmonic distortion; Impedance; Neural networks; Pollution measurement; Power system harmonics; Power systems; Substations; Voltage; Harmonic distortion; IEEE 519; Neural networks; Power quality; Power system harmonics; System identification;
Conference_Titel :
Power Electronics Specialists Conference, 2007. PESC 2007. IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4244-0654-8
Electronic_ISBN :
0275-9306
DOI :
10.1109/PESC.2007.4342455