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Employment of PSO algorithm to improve the neural network technique for radial distribution system state estimation Cover

Employment of PSO algorithm to improve the neural network technique for radial distribution system state estimation

International Journal on Smart Sensing and Intelligent Systems
Volume 12 (2019): Issue 1 (January 2019)
By: Husham Idan Hussein,  Ghassan Abdullah Salman and  Ahmed Majeed Ghadban  
Open Access
|Sep 2019

Figures & Tables

Figure 1:

General scheme of state estimation (Husham and Ahmed, 2018).
General scheme of state estimation (Husham and Ahmed, 2018).

Figure 2:

Flow chart for the placement of PMUs for network observability.
Flow chart for the placement of PMUs for network observability.

Figure 3:

Reactive power compensation principle (Husham and Ahmed, 2018).
Reactive power compensation principle (Husham and Ahmed, 2018).

Figure 4:

Voltage bus magnitude (actual, estimated PMU, estimated PSO–NN) of IEEE 9-bus RDS.
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.
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.
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.
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.
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.
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.
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.
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.
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
TestMSEMSE
IEEE 96e−084e−07
IEEE 332.5e−074e−07
IEEE 691.43e−105.5e−09
DOI: https://doi.org/10.21307/ijssis-2019-005 | Journal eISSN: 1178-5608
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Language: English
Page range: 1 - 10
Submitted on: Jan 17, 2019
Published on: Sep 5, 2019
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
RDPS,
RDPS,
PSO,
Neural network,
Hybrid algorithm,
State estimation,
Monitoring system,
Optimization methods,
PMU
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2019 Husham Idan Hussein, Ghassan Abdullah Salman, Ahmed Majeed Ghadban, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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