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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44<br />
RT-D02, RT-D03, and RT-D04: In all these tests historical data set consists of 36<br />
cycles of current and predicted data are <strong>for</strong> 24 cycles. The three tests deal with phase A,<br />
B and C currents of the electric arc furnace mentioned earlier. Results obtained are<br />
reported in Table 4.4, Table 4.5 and Table 4.6. Considering the deviation of RMS value<br />
from historical data, out of a total of 9 cases, 5 are less than 5% and 4 are between 5 to<br />
10%. Deviation from actual RMS current is greater than 10% in two out of a total of 9<br />
cases. In two cases the RMS percentage error was found less than 1%. This deviation of<br />
Table 4.4 Results <strong>for</strong> RT-D02<br />
Index<br />
Historical<br />
current<br />
Actual<br />
Predicted current<br />
current Trial 1 Trial 2 Trial 3<br />
Average (p.u.) -0.3252 -0.4666 0.2121 -0.7794 -0.1389<br />
% RMS<br />
deviati<br />
on<br />
RMS (p.u.) 1.9856 2.0622 2.0695 2.1610 2.1676<br />
historical 4.2267 8.84 9.17<br />
actual 0.3526 4.79 5.11<br />
CSI 0.5 0.4472 0.4743 0.4644<br />
J value 0 9.2909 5.6014 6.6635<br />
KS index 1 0 0 0
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