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http://localhost:8080/xmlui/handle/123456789/3691Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Sunil, Ankeshwarapu | - |
| dc.contributor.author | Kongala, Saikrishna | - |
| dc.contributor.author | Venkaiah, Chintham | - |
| dc.date.accessioned | 2025-12-19T09:47:01Z | - |
| dc.date.available | 2025-12-19T09:47:01Z | - |
| dc.date.issued | 2021 | - |
| dc.identifier.citation | 10.1109/APPEEC50844.2021.9687628 | en_US |
| dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/3691 | - |
| dc.description | NITW | en_US |
| dc.description.abstract | In this paper, Meta-heuristic techniques were em ployed for optimal placement and sizing of multiple Distributed Generations (DGs) in a Radial Distribution System (RDS) to mitigate the losses and voltage deviations. In this study, Genetic Algorithm (GA), Shuffled Frog Leap Algorithm (SFLA) and Jaya Algorithm (JAYA) were applied on a standard IEEE 33 bus test system. It was observed from the test results simulated under MATLAB environment that Jaya Algorithm outperformed GA and SFLA for optimal placement and sizing of multiple DGs to mitigate the losses and voltage deviations. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Asia-Pacific Power and Energy Engineering Conference, APPEEC | en_US |
| dc.subject | Distributed Generations (DGs) | en_US |
| dc.subject | Genetic Algorithm (GA) | en_US |
| dc.title | Metaheuristic Techniques based Optimal Placement and Sizing of Multiple Distributed Generations in Radial Distribution System | en_US |
| dc.type | Other | en_US |
| Appears in Collections: | Electrical Engineering | |
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