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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41<br />
2. Constant number of cells: The data set can be divided into N number of cells keeping<br />
cell width as a variable. Cell width depends on the maximum and minimum value of<br />
current in the data set, thus<br />
?x = (I max -I min )/N<br />
4.3 Test conditions<br />
The real data, obtained directly from an EAF, have been measured with a<br />
sampling frequency of 10 kHz. There<strong>for</strong>e the number of measured data points in a cycle<br />
can be obtained as follows:<br />
supply frequency = 60 Hz<br />
one cycle = 1/60 second<br />
1/ 60<br />
number of data points in one cycle =<br />
4<br />
1/10<br />
= 500/3 = 166.7.<br />
or 500 data points = 3 cycles.<br />
To <strong>for</strong>m a Symbolic Dynamic dictionary and to predict future values, the real data<br />
is discretized as described above. To do so, the data set is shifted and scaled. In other<br />
words if X is the data set under consideration then trans<strong>for</strong>med data set Y is obtained as<br />
Y=fix (aX+b),<br />
where fix is Matlab function <strong>for</strong> rounding off, a and b are constants. The values of the<br />
constants a and b depend on the maximum and minimum values in the data set and how<br />
cell division is done to trans<strong>for</strong>m the data.