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The paper presents a neural method of estimation of instantaneous voltage at a considered node of electric power system feeding nonlinear loads. There are presented simulations conducted using MATLAB/SIMULINK as well as results of measurements obtained for a real power network. Application of artificial neural networks enables comprehensive investigation of voltage at a PCC (Point of Common Coupling)...
One of the most important parameters of Reactive Power Compensators is minimum production of harmonics. Nowadays by considering the improvement of power systems in power quality and the importance of harmonics in power quality, compensators by minimum harmonic distortion should be designed. In this paper the issue of harmonic reduction in determining the fire angle of TCR1 and TSC2 that are very important...
As industry power demand become increasingly sensitive, power quality distortion becomes a critical issue. The recent increase in nonlinear loads drawing non-sinusoidal currents has seen the introduction to manage the clean delivery of power. In this paper, a three-phase shunt active power filter (APF) using artificial neural network technique is proposed to mitigate harmonics, to compensate reactive...
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