Genetic Algorithm-Based Artificial Neural Network for Voltage Stability Assessment

Table 3

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

TP	Voltage stability margin		Error (p.u.)	Error (% age)	TP	Voltage stability margin		Error (p.u.)	Error (% age)
	Actual	By GABPNN				Actual	By GABPNN
1	1.45935	1.4304	0.029	1.9849	2	1.62284	1.6169	0.0059	0.3612
3	1.57712	1.5733	0.0038	0.2397	4	1.41375	1.3865	0.0272	1.9244
5	1.64237	1.6341	0.0083	0.5061	6	1.52868	1.5105	0.0182	1.1905
7	1.55574	1.5763	−0.0206	−1.3238	8	1.43946	1.4307	0.0088	0.6145
9	1.5849	1.584	0.0009	0.0561	10	1.47208	1.5002	−0.0281	−1.9118
11	1.41474	1.4116	0.0031	0.2221	12	1.52114	1.5229	−0.0018	−0.1206
13	1.48234	1.5262	−0.0439	−2.9627	14	1.49136	1.4847	0.0067	0.4479
15	1.51966	1.5246	−0.0049	−0.3213	16	1.52114	1.5486	−0.0275	−1.8086
17	1.71256	1.7131	−0.0006	−0.0356	18	1.58577	1.6148	−0.029	−1.8276
19	1.65003	1.6502	−0.0002	−0.011	20	1.59516	1.595	0.0001	0.0048
21	1.45626	1.4538	0.0025	0.1718	22	1.52262	1.5097	0.0129	0.8503
23	1.5655	1.5485	0.017	1.0834	24	1.47739	1.4733	0.0041	0.276
25	1.55784	1.5675	−0.0096	−0.6174	26	1.82254	1.8215	0.0011	0.0619
27	1.43748	1.4152	0.0223	1.5501	28	1.44526	1.4396	0.0057	0.394
29	1.61876	1.5927	0.0261	1.6113	30	1.68389	1.6946	−0.0107	−0.6365

TP: Testing Pattern.