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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Table 4.10 Results <strong>for</strong> RT-E03 (all the data are <strong>for</strong> EAF load current)<br />
Index<br />
Trial 1 Trial 2 Trial 3<br />
actual predicted actual predicted actual predicted<br />
Average (p.u.) -0.4364 -0.4244 -0.3925 -0.4185 -0.4884 -0.5044<br />
RMS (p.u.) 1.0375 1.0816 2.8871 2.8981 2.912 2.9069<br />
% RMS (1) 0.3162 0.3784 0.174<br />
deviati<br />
on. (2) very high 43.89 8.63<br />
CSI 0.5 0.4677 0.5 0.4585 0.5 0.4769<br />
J value 0 0.3162 0 0.1897 0 0.1265<br />
KS index 1 1 1 1 1 1<br />
Exec. time 00:06:53 00:05:56 00:05:40<br />
(hh:mm:ss)<br />
(1) RMS deviation within the trans<strong>for</strong>med data.<br />
(2) RMS deviation, comparing with actual (untrans<strong>for</strong>med) current.
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