Minimizing Real Power Losses Via Optimal Reactive Power Allocation and Distributed Generation Using Grey Wolf Optimizer

An emphasis is placed on the optimal location and sizing of distributed generation and reactive power compensation to minimize real power loss in the Radial Distribution Network. This paper uses the Reconfiguration Method to determine the optimal locations of reactive power compensators and distributed generation units. Grey Wolf Optimizer (GWO) is the technique that is used to select the optimal sizing of reactive power compensators and distributed generation units. Two approaches are used: the meta-heuristics optimization technique GWO, and the Reconfiguration Method to determine the optimal location and size of shunt capacitors and distribution generators. This paper aims to minimize the real power losses, improve the voltage profiles, and enhance the voltage stability index on distribution networks by adding distributed generators and shunt capacitors with the optimal size. The IEEE 33-bus system, as a standard power system, is utilized to validate the suggested technique. Simulation results with various case studies show that the placement of distributed generating units and reactive power compensators in power distribution networks reduces the stress on the line loads and produces a sizable loss reduction with a favorable voltage profile.

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Publication Details

Journal
Journal of Engineering and Sustainable Development
Published
2025-07-01
DOI
https://doi.org/10.31272/jeasd.2808
Primary Topic
Microgrid Control and Optimization
Type
article
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article

Minimizing Real Power Losses Via Optimal Reactive Power Allocation and Distributed Generation Using Grey Wolf Optimizer

Saad Khalaf, Bahaa Hussein Al Igeb, Petr P. Oschepkov, Murtadha Al-Kaabi et al.
Journal of Engineering and Sustainable Development
Microgrid Control and Optimization
article

Minimizing Real Power Losses Via Optimal Reactive Power Allocation and Distributed Generation Using Grey Wolf Optimizer

Saad Khalaf, Bahaa Hussein Al Igeb, Petr P. Oschepkov, Murtadha Al-Kaabi, Mazin T. Muhssin, Ali Abdulazeez
article en

Abstract

An emphasis is placed on the optimal location and sizing of distributed generation and reactive power compensation to minimize real power loss in the Radial Distribution Network. This paper uses the Reconfiguration Method to determine the optimal locations of reactive power compensators and distributed generation units. Grey Wolf Optimizer (GWO) is the technique that is used to select the optimal sizing of reactive power compensators and distributed generation units. Two approaches are used: the meta-heuristics optimization technique GWO, and the Reconfiguration Method to determine the optimal location and size of shunt capacitors and distribution generators. This paper aims to minimize the real power losses, improve the voltage profiles, and enhance the voltage stability index on distribution networks by adding distributed generators and shunt capacitors with the optimal size. The IEEE 33-bus system, as a standard power system, is utilized to validate the suggested technique. Simulation results with various case studies show that the placement of distributed generating units and reactive power compensators in power distribution networks reduces the stress on the line loads and produces a sizable loss reduction with a favorable voltage profile.

Journal of Engineering and Sustainable DevelopmentVol. 29(4)
Openalex Percentile: Top 82%
Microgrid Control and Optimization
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Minimizing Real Power Losses Via Optimal Reactive Power Allocation and Distributed Generation Using Grey Wolf Optimizer — Saad Khalaf, Bahaa Hussein Al Igeb, et al. · Journal of Engineering and Sustainable Development (2025) | TGRS Research Map | TGRS