Power system static state estimation using Kalman filter algorithm | International Journal for Simulation and Multidisciplinary Design Optimization (IJSMDO)

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Table 4.

Kalman filter angle estimation for different values of initial error covariance matrix.

Bus no	True value (degree)	Kalman result (degree)
Bus no	True value (degree)	P = 0.09	P = 0.11	P = 0.13	P = 0.15
1	0.00	0	0.00	0.00	0.00
2	−4.99	−5.16	−5.16	−5.15	−5.15
3	−12.75	−12.96	−12.95	−12.93	−12.92
4	−10.25	−10.61	−10.60	−10.59	−10.59
5	−8.76	−9.16	−9.15	−9.15	−9.15
6	−14.45	−13.90	−13.90	−13.90	−13.90
7	−13.24	−13.12	−13.11	−13.11	−13.11
8	−13.24	−13.01	−13.00	−12.99	−12.99
9	−14.83	−14.55	−14.53	−14.53	−14.53
10	−15.04	−14.89	−14.87	−14.87	−14.87
11	−14.86	−14.65	−14.64	−14.63	−14.64
12	−15.31	−14.90	−14.90	−14.90	−14.90
13	−15.34	−15.25	−15.24	−15.24	−15.25
14	−16.08	−16.17	−16.16	−16.15	−16.16
MAPE		2.12	2.13	2.11	2.09
WLS MAPE = 11.3

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