symbolic dynamic models for highly varying power system loads
symbolic dynamic models for highly varying power system loads
symbolic dynamic models for highly varying power system loads
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51<br />
RT-E04: To implement the proposed algorithm <strong>for</strong> <strong>power</strong> conditioning<br />
application, the fundamental component of historical current data was filtered out by<br />
per<strong>for</strong>ming fast Fourier trans<strong>for</strong>m. Subtracting this component from the predicted current,<br />
unwanted harmonic components of the current could be obtained. By subtracting these<br />
harmonics from actual value of current, the wave shape of the load current can be made<br />
pure sinusoidal. Figure 4.4 shows the whole process in brief. Figures 4.5, 4.6, and 4.7<br />
show the comparison of actual and corrected wave<strong>for</strong>m <strong>for</strong> the arc furnace current in<br />
three phases.<br />
t=0<br />
Historical data<br />
Actual new data<br />
Algorithm<br />
Predicted data<br />
FFT<br />
+<br />
+<br />
-<br />
-<br />
Fundamental<br />
component:<br />
A 60 Sin( w t+ j 60 )<br />
Amplitude-A 60<br />
Phase- j 60<br />
Filtered data<br />
Figure 4.4 Process of <strong>power</strong> conditioning <strong>for</strong> the test RT-E04