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 distrib...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | Arabic |
| Published: |
Mustansiriyah University/College of Engineering
2025-07-01
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| Series: | Journal of Engineering and Sustainable Development |
| Subjects: | |
| Online Access: | https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/2808 |
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| Summary: | 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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| ISSN: | 2520-0917 2520-0925 |