Genetic Algorithm-Based Artificial Neural Network for Voltage Stability Assessment

Table 4

Output and error during testing of BPNN (10-4-1).

TP	Voltage stability margin		Error (p.u.)	Error (% age)	TP	Voltage stability margin		Error (p.u.)	Error (% age)
	Actual	By BPNN				Actual	By BPNN
1	1.45935	1.6012	−0.1419	9.72028	2	1.62284	1.60577	0.01707	1.05201
3	1.57712	1.6534	−0.0763	4.83691	4	1.41375	1.59554	−0.1818	12.8586
5	1.64237	1.6064	0.03596	2.18981	6	1.52868	1.60288	−0.0742	4.85421
7	1.55574	1.59965	−0.0439	2.82266	8	1.43946	1.59497	−0.1555	10.8038
9	1.5849	1.55658	0.02833	1.78727	10	1.47208	1.59467	−0.1226	8.32796
11	1.41474	1.595	−0.1803	12.7416	12	1.52114	1.56406	−0.0429	2.82164
13	1.48234	1.60372	−0.1214	8.18847	14	1.49136	1.54934	−0.058	3.88758
15	1.51966	1.55096	−0.0313	2.06016	16	1.52114	1.57032	−0.0492	3.23347
17	1.71256	1.60263	0.10993	6.41887	18	1.58577	1.59772	−0.012	0.75347
19	1.65003	1.58203	0.068	4.1212	20	1.59516	1.60209	−0.0069	0.43449
21	1.45626	1.59506	−0.1388	9.53137	22	1.52262	1.60296	−0.0803	5.27643
23	1.5655	1.54795	0.01755	1.12097	24	1.47739	1.60231	−0.1249	8.45509
25	1.55784	1.56032	−0.0025	0.15901	26	1.82254	1.54385	0.27869	15.2913
27	1.43748	1.60245	−0.165	11.4763	28	1.44526	1.58866	−0.1434	9.92211
29	1.61876	1.59693	0.02184	1.34888	30	1.68389	1.57389	0.11	6.53222