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
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
39<br />
CHAPTER 4<br />
TESTS ON INDUSTRIAL ARC FURNACE DATA<br />
4.1 Introduction<br />
This chapter deals with the tests on industrial arc furnace data. The data used <strong>for</strong><br />
this purpose have been recorded from an electric arc furnace (EAF) under normal<br />
operating condition. The specifications of the furnace are shown in the Table 4.1.<br />
Appendix C contains the EAF schematic and sample current and voltage values. The<br />
algorithms to <strong>for</strong>ecast a signal <strong>for</strong> load modeling and <strong>power</strong> conditioning application, as<br />
discussed earlier, are tested on “real” data in this chapter. The arc furnace current in<br />
different phases is <strong>for</strong>ecasted using the algorithms, assuming that the supply voltage is<br />
constant. The results obtained are compared with the actual measured current. The<br />
comparison is done <strong>for</strong> RMS and average value, CSI, and KS index. Appendix A contains<br />
the Matlab code <strong>for</strong> all industrial arc furnace test.<br />
Table 4.1 EAF specifications<br />
4.2 Data trans<strong>for</strong>mation<br />
Parameter<br />
Type<br />
Process<br />
Supply voltage<br />
Rated current<br />
Nominal <strong>power</strong><br />
Value<br />
3-phase AC<br />
Scrap metal refining<br />
34.5 kV<br />
0.84 kA<br />
50 MVA
Change language