Optimal Placement Of Distributed Generation Using Immune Algorithm And Suitability For Off-Shore Grid Environment

This research work offers a novel approach for figuring out the best size and position of Distributed Generation (DG) in radially distributed networks. The Newton-Raphson method is utilised to perform the power flow/load flow assessment. Buses are segmented and suitable DG locations are recognised based on the change in power loss while moving through the network. A new immune algorithm has been employed to size and locate the DG (s). To strengthen the voltage levels at the buses and lessen real power loss, a fitness function is developed. The IEEE-34 bus system is considered for validation, and the tests are carried out in ETAP 12.6.0 and MATLAB. It is also recommended that this scheme be implemented for future marine off-shore distributed generation.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/icaccm61117.2024.11059056
Primary Topic
HVDC Systems and Fault Protection
Type
article
Field-Weighted Citation Impact
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article

Optimal Placement Of Distributed Generation Using Immune Algorithm And Suitability For Off-Shore Grid Environment

K. Sivasami, S. Thangalakshmi
HVDC Systems and Fault Protection
article

Optimal Placement Of Distributed Generation Using Immune Algorithm And Suitability For Off-Shore Grid Environment

K. Sivasami, S. Thangalakshmi
article en

Abstract

This research work offers a novel approach for figuring out the best size and position of Distributed Generation (DG) in radially distributed networks. The Newton-Raphson method is utilised to perform the power flow/load flow assessment. Buses are segmented and suitable DG locations are recognised based on the change in power loss while moving through the network. A new immune algorithm has been employed to size and locate the DG (s). To strengthen the voltage levels at the buses and lessen real power loss, a fitness function is developed. The IEEE-34 bus system is considered for validation, and the tests are carried out in ETAP 12.6.0 and MATLAB. It is also recommended that this scheme be implemented for future marine off-shore distributed generation.

Indian Maritime University (IN)
Openalex Percentile: Top 72%
HVDC Systems and Fault Protection
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