Optimal Allocation and Sizing of Multiple DGs with Reactive Power Capabilities in a Three-Phase Unbalanced Distribution System
Nowadays, Distributed Generators (DGs) are widely adopted in distribution networks to deliver fast, reliable, and clean power to the consumer maximize environmental preservation, and mitigate the impact of energy production on the environment. However, recurring issues like poor voltage profiling/st...
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Sakarya University
2024-12-01
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| Series: | Sakarya University Journal of Computer and Information Sciences |
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| Online Access: | https://dergipark.org.tr/en/download/article-file/3929983 |
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| author | Zahıra Aboumarıa Selcuk Emiroglu |
| author_facet | Zahıra Aboumarıa Selcuk Emiroglu |
| author_sort | Zahıra Aboumarıa |
| collection | DOAJ |
| description | Nowadays, Distributed Generators (DGs) are widely adopted in distribution networks to deliver fast, reliable, and clean power to the consumer maximize environmental preservation, and mitigate the impact of energy production on the environment. However, recurring issues like poor voltage profiling/stability and power loss arising from improper allocation and unsuitable sizing of the DGs have made it necessary for methods and approaches to be sought in order to mitigate these issues. This study proposes a method that can be used in optimizing the allocation and sizes of the DGs. The study employs the IEEE 37 node test system in OpenDSS to carry out power flow. The DG size, node, and power factor are the coordinated control variables presented in this study to minimize the power loss. Genetic Algorithm, Pattern Search, Particle Swarm Optimization, and Grey Wolf Optimizer algorithms have been exploited in the IEEE 37 node test feeder to find the optimal location, sizes, and power factors of the DGs. Notable variations resulting from four different cases considering power loss as an objective function are also presented. Results indicate that optimally sized and placed DGs operated with optimal power factors have reduced power losses by enhancing the voltage profile. In addition, the effect of the reactive power capability of DGs on the distribution system has been shown. |
| format | Article |
| id | doaj-art-075494c60f454d7ea2d3caaba4780b6b |
| institution | Kabale University |
| issn | 2636-8129 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Sakarya University |
| record_format | Article |
| series | Sakarya University Journal of Computer and Information Sciences |
| spelling | doaj-art-075494c60f454d7ea2d3caaba4780b6b2025-01-07T09:08:00ZengSakarya UniversitySakarya University Journal of Computer and Information Sciences2636-81292024-12-017351052010.35377/saucis...148398528Optimal Allocation and Sizing of Multiple DGs with Reactive Power Capabilities in a Three-Phase Unbalanced Distribution SystemZahıra Aboumarıa0https://orcid.org/0000-0003-1678-4017Selcuk Emiroglu1https://orcid.org/0000-0001-7319-8861SAKARYA UNIVERSITYSAKARYA ÜNİVERSİTESİNowadays, Distributed Generators (DGs) are widely adopted in distribution networks to deliver fast, reliable, and clean power to the consumer maximize environmental preservation, and mitigate the impact of energy production on the environment. However, recurring issues like poor voltage profiling/stability and power loss arising from improper allocation and unsuitable sizing of the DGs have made it necessary for methods and approaches to be sought in order to mitigate these issues. This study proposes a method that can be used in optimizing the allocation and sizes of the DGs. The study employs the IEEE 37 node test system in OpenDSS to carry out power flow. The DG size, node, and power factor are the coordinated control variables presented in this study to minimize the power loss. Genetic Algorithm, Pattern Search, Particle Swarm Optimization, and Grey Wolf Optimizer algorithms have been exploited in the IEEE 37 node test feeder to find the optimal location, sizes, and power factors of the DGs. Notable variations resulting from four different cases considering power loss as an objective function are also presented. Results indicate that optimally sized and placed DGs operated with optimal power factors have reduced power losses by enhancing the voltage profile. In addition, the effect of the reactive power capability of DGs on the distribution system has been shown.https://dergipark.org.tr/en/download/article-file/3929983unbalanced distributed networkieee 37 node test feederdistributed generationgenetic algorithmpower lossoptimization |
| spellingShingle | Zahıra Aboumarıa Selcuk Emiroglu Optimal Allocation and Sizing of Multiple DGs with Reactive Power Capabilities in a Three-Phase Unbalanced Distribution System Sakarya University Journal of Computer and Information Sciences unbalanced distributed network ieee 37 node test feeder distributed generation genetic algorithm power loss optimization |
| title | Optimal Allocation and Sizing of Multiple DGs with Reactive Power Capabilities in a Three-Phase Unbalanced Distribution System |
| title_full | Optimal Allocation and Sizing of Multiple DGs with Reactive Power Capabilities in a Three-Phase Unbalanced Distribution System |
| title_fullStr | Optimal Allocation and Sizing of Multiple DGs with Reactive Power Capabilities in a Three-Phase Unbalanced Distribution System |
| title_full_unstemmed | Optimal Allocation and Sizing of Multiple DGs with Reactive Power Capabilities in a Three-Phase Unbalanced Distribution System |
| title_short | Optimal Allocation and Sizing of Multiple DGs with Reactive Power Capabilities in a Three-Phase Unbalanced Distribution System |
| title_sort | optimal allocation and sizing of multiple dgs with reactive power capabilities in a three phase unbalanced distribution system |
| topic | unbalanced distributed network ieee 37 node test feeder distributed generation genetic algorithm power loss optimization |
| url | https://dergipark.org.tr/en/download/article-file/3929983 |
| work_keys_str_mv | AT zahıraaboumarıa optimalallocationandsizingofmultipledgswithreactivepowercapabilitiesinathreephaseunbalanceddistributionsystem AT selcukemiroglu optimalallocationandsizingofmultipledgswithreactivepowercapabilitiesinathreephaseunbalanceddistributionsystem |