Employment of PSO algorithm to improve the neural network technique for radial distribution system state estimation
Article Category: research-article
Publié en ligne: 05 sept. 2019
Pages: 1 - 10
Reçu: 17 janv. 2019
© 2019 Husham Idan Hussein et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Figure 1:
General scheme of state estimation (Husham and Ahmed, 2018).Figure 2:
Flow chart for the placement of PMUs for network observability.Figure 3:
Reactive power compensation principle (Husham and Ahmed, 2018).Figure 4:
Voltage bus magnitude (actual, estimated PMU, estimated PSO–NN) of IEEE 9-bus RDS.Figure 5:
Voltage bus angle (actual, estimated PMU, estimated PSO–NN) of IEEE 9-bus RDS.Figure 6:
Regression plots of IEEE 9 bus: (A) bus voltage magnitudes; and (B) angle bus voltage values.Figure 7:
Voltage bus magnitude (actual, estimated PMU, estimated PSO–NN) of IEEE 33-bus RDS.Figure 8:
Voltage bus angle (actual, estimated PMU, estimated PSO–NN) of IEEE 33-bus RDS.Figure 9:
Regression plots of IEEE 34 bus: (A) bus voltage magnitudes; and (B) angle bus voltage values.Figure 10:
Voltage bus magnitude (actual, estimated PMU, estimated PSO–NN) of IEEE 69-bus RDS.Figure 11:
Voltage bus angle (actual, estimated PMU, estimated PSO–NN) of IEEE 69-bus RDS.Figure 12:
Regression plots of IEEE 69-bus: (A) bus voltage magnitudes; and (B) angle bus voltage values.MSE for voltage magnitudes and angle values in each test.
|
VB |
δ
|
Test |
MSE |
MSE |
IEEE 9 |
6e−08 |
4e−07 |
IEEE 33 |
2.5e−07 |
4e−07 |
IEEE 69 |
1.43e−10 |
5.5e−09 |