Optimal Placement and Sizing of Distributed Generations and Shunt Capacitors for Voltage Profile Improvement and Power Loss Minimization

Determining the ideal locations and capacities for distributed generation (DG) units and shunt capacitors (SCs) is Successful implementation can lead to numerous benefits, including reduced real power losses, improved voltage profiles, decreased current drawn from the network, and enhanced reliability. However, these benefits often involve substantial investment expenses. As a result, optimizing these advantages necessitates the careful identification of appropriate installation sites for the equipment. This study employed sensitivity analysis based on the stability index (SI) to pinpoint the most suitable locations for deploying DG units and SCs. Furthermore, the optimal sizing of the equipment was determined using a genetic algorithm (GA). The efficacy of the proposed approach was validated through its application to the standard 69-bus distribution system.

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Publication Details

Published
2025-04-21
DOI
https://doi.org/10.1109/ictem66196.2025.11063600
Primary Topic
Microgrid Control and Optimization
Type
article
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article

Optimal Placement and Sizing of Distributed Generations and Shunt Capacitors for Voltage Profile Improvement and Power Loss Minimization

Jafar Sarbazi, Amin Aboutalebi Najafabadi, Seyed Hossein Hosseinian
Microgrid Control and Optimization
article

Optimal Placement and Sizing of Distributed Generations and Shunt Capacitors for Voltage Profile Improvement and Power Loss Minimization

Jafar Sarbazi, Amin Aboutalebi Najafabadi, Seyed Hossein Hosseinian
article en

Abstract

Determining the ideal locations and capacities for distributed generation (DG) units and shunt capacitors (SCs) is Successful implementation can lead to numerous benefits, including reduced real power losses, improved voltage profiles, decreased current drawn from the network, and enhanced reliability. However, these benefits often involve substantial investment expenses. As a result, optimizing these advantages necessitates the careful identification of appropriate installation sites for the equipment. This study employed sensitivity analysis based on the stability index (SI) to pinpoint the most suitable locations for deploying DG units and SCs. Furthermore, the optimal sizing of the equipment was determined using a genetic algorithm (GA). The efficacy of the proposed approach was validated through its application to the standard 69-bus distribution system.

Amirkabir University of Technology (IR)
Affordable and clean energy
Openalex Percentile: Top 80%
Microgrid Control and Optimization
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