|کد مقاله||کد نشریه||سال انتشار||مقاله انگلیسی||ترجمه فارسی||نسخه تمام متن|
|5001193||1368412||2017||8 صفحه PDF||سفارش دهید||دانلود کنید|
- Steady-state current from nonlinear loads under harmonic polluted voltage supply.
- Variable Norton admittance modeling including the voltage angle dependency.
- Experimental results using fluorescent lamps submitted to distorted voltage supply.
The problem of computing the harmonic currents produced by nonlinear loads has been constantly raised in the field of power quality. Such a problem becomes even more difficult when the voltage supply has already been polluted with harmonics. This context is further investigated in this work by presenting measurement results showing how the harmonic currents generated by a nonlinear load can depend on the distortion parameters of the voltage supply. When dealing with the representation of a nonlinear load through admittances, whose magnitude and angle depend on the harmonic content of the supply voltage, the tensor based procedures are accurate enough when the load admittance loci yields to a circle, which is usually the case for simulations. However, this modeling approach does not fit all types of loads. To account for the admittance variation due to the dependency on the supply voltage angle, this work introduces a special procedure involving a collection of admittance matrices, which is suitable for any load modeling, as it can use data even from measurement. The method is based on the iterative calculation using an updated Norton admittance, which takes into account the magnitude and angle voltage dependency behavior of the nonlinear load. Once the parameters from the electrical system and loads are gathered, the method provides a deterministic way of assessment the line current produced by a single load or a group of these specific loads. Besides the mentioned measurements, numerical calculations comparing results from time-domain simulation and the proposed methodology are presented for validation purposes.
Journal: Electric Power Systems Research - Volume 147, June 2017, Pages 272-279