Smart Grids and Micro-Grids. Umashankar Subramaniam

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37 0 0 37 0 0 33 4.0363 133.2 32.2 4.0559 130.6 31.5 4.8432 152.56 30.001 4.7991 147.33 21.2 5.6833 120.5 21 5.5242 116.01 20 5.775 115.5 19.8 5.5278 109.45 0 8.65 0 0 8.45 0

Table 1.8 Comparative analysis on voltage and current at MPP for Shell SP70 panel with T=25°C.

	Sandia model [22]		Based on equivalent parameters [18]		ANFIS [18]		GS [15]		NR
G (W/m2)	Vmpp(V)	Impp(A)	Vmpp(V)	Impp(A)	Vmpp(V)	Impp(A)	Vmpp(V)	Impp(A)	Vmpp(V)	Impp(A)
1000	16.5	4.24	16.37	4.25	16.29	4.27	16.51	4.25	16.4975	4.2498
800	16.56	3.42	16.43	3.39	16.38	3.41	16.59	3.41	16.5814	3.4061
600	16.55	2.57	16.41	2.53	16.39	2.54	16.49	2.55	16.4755	2.5542
400	16.35	1.72	16.24	1.66	16.26	1.67	16.12	1.7	16.0935	1.6979
200	15.87	0.87	15.66	0.79	15.73	0.81	15.18	0.84	15.1603	0.8415

Table 1.9 Comparative analysis of maximum power at MPP for Shell SP70 panel with T=25°C.

G(W/m2)	Sandia model [22]	Based on actual equivalent parameters [18]	ANFIS [18]	GS [15]	NR
1000	69.96	69.5725	69.5583	70.16	70.1122
800	56.6352	55.6977	55.8558	56.52	56.4832
600	42.5335	41.5173	41.6306	42.11	42.0926
400	28.122	26.9584	27.1542	27.35	27.3231
200	13.8069	12.3714	12.7413	12.77	12.7591

1.5 Conclusion

      In this chapter, the GS and NR methods were used to estimate the five unknown parameters of SDM of PV panel such as KD245GX, U5-80 and Shell SP70 under STCs. The results have shown better performance for the NR technique compared to GS method. Further, both the approaches were used to deduce the parameters of KD245GX and Shell SP70 PV panel under dynamic environmental conditions of varying irradiance and temperature. The unknown parameters like A, R_se,

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