A modified ant lion optimization algorithm for efficient distributed generation allocation in power distribution networks
•Modified Ant Lion Optimization (MALO) algorithm with adaptive boundary control and elitism-based selection.•LSF is incorporated to preselect high-impact buses, significantly reducing computational complexity while enhancing power loss reduction and voltage stability improvements.•Up to 86.85 % powe...
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| Published in: | Electric power systems research Vol. 246; p. 111705 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
01.09.2025
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| Subjects: | |
| ISSN: | 0378-7796 |
| Online Access: | Get full text |
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| Summary: | •Modified Ant Lion Optimization (MALO) algorithm with adaptive boundary control and elitism-based selection.•LSF is incorporated to preselect high-impact buses, significantly reducing computational complexity while enhancing power loss reduction and voltage stability improvements.•Up to 86.85 % power loss reduction achieved as compared to other methods validated across IEEE 33, 69-bus, and real-world Panchasakha feeder case studies.•This validates the MALO approach using real-time operational data from the Panchasakha feeder, showcasing its practical feasibility and robustness.•Varying power factors and real-world network constraints are used for improving the generalizability of the findings.
The current state of the radial distribution system deteriorates daily. Loads are rapidly increasing in practice. As a result, maintaining the power quality of distribution systems is becoming increasingly challenging. The radial distribution scheme relies heavily on DG allocation and size derivation. Losses are visible in the distribution system, which might impact the power deviation quality. As a result, researchers have created many optimization strategies. The modified ant lion optimization (MALO) technique is suggested for determining the DG position and size of the radial distribution standard network. The loss sensitivity factor (LSF) is used to find the candidate bus. Many studies have used this strategy to identify local candidate bus search events. However, the MALO technique allows for a wide range of candidate search processes and determines the placement and size of needed buses. The method is applied to the system, which chooses the majority of potential buses for DG installation via loss sensitivity factors. The planned MALO is then utilized to determine DG positions and sizes based on the selected buses. The proposed technique is assessed on two IEEE radial distribution systems and contrasted with the outcomes of other recently established and efficient techniques. The results reveal that the power loss reduction increases to approximately 86 %, which leads to an increase in the economy. This paper provides the results, which confirm the utility of the MALO in optimizing the voltage profile in the distribution system under various loading conditions. This method is applicable worldwide because the loads might be changeable. Furthermore, superiority can be evaluated via the Wilcoxon test. |
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| ISSN: | 0378-7796 |
| DOI: | 10.1016/j.epsr.2025.111705 |