Optimal Positioning and Sizing of Distributed Energy Sources in Distribution System Using Hunter-Prey Optimizer Algorithm
The integration of distributed generation (DG) based on renewable energy (RE), in distribution power networks (DPN) has become indispensable for reducing power losses and voltage deviation along the DPN. Typical DGs are placed adjacent to the load in DPN and locally distribute adequate active and re...
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Ediciones Universidad de Salamanca
2024-12-01
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| Series: | Advances in Distributed Computing and Artificial Intelligence Journal |
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| Online Access: | https://revistas.usal.es/cinco/index.php/2255-2863/article/view/31639 |
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| author | P. Rajakumar M. Senthil Kumar K. Karunanithi S. Vinoth John Prakash P. Baburao S. P. Raja |
| author_facet | P. Rajakumar M. Senthil Kumar K. Karunanithi S. Vinoth John Prakash P. Baburao S. P. Raja |
| author_sort | P. Rajakumar |
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| description | The integration of distributed generation (DG) based on renewable energy (RE), in distribution power networks (DPN) has become indispensable for reducing power losses and voltage deviation along the DPN. Typical DGs are placed adjacent to the load in DPN and locally distribute adequate active and reactive power. However, the appropriate placement of DG in DPN at the right location and size is essential to achieve the desired objectives. In this paper, DG is optimized into radial DPN with the aid of a recent bio-inspired hunter-prey optimization (HPO) algorithm. HPO is a bio-inspired and population-based optimization algorithm that mimics the hunting action of an animal. The HPO algorithm evades the local optimal stagnation and reaches the optimal solution rapidly. HPO optimizes solar photovoltaic (PV) and wind turbine (WT) DG systems to minimize multi-objective functions (MOFs) including active power loss (APL) and voltage deviation (VD), and to enhance voltage stability (VS). An optimized solution has been obtained for a standard IEEE 69-bus radial DPN and the optimized simulation result of HPO has been compared with other optimization algorithms with the aim of assessing its effectiveness. The optimized PV and WT DG integration via the proposed HPO algorithm has yielded a power loss reduction of 67.10 % and 90.4 %, respectively. Furthermore, a considerable enhancement in bus voltage and voltage stability has been seen in radial DPN after the inclusion of DG. |
| format | Article |
| id | doaj-art-10e917b6980b4b20ba3152da393926ae |
| institution | Kabale University |
| issn | 2255-2863 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Ediciones Universidad de Salamanca |
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| series | Advances in Distributed Computing and Artificial Intelligence Journal |
| spelling | doaj-art-10e917b6980b4b20ba3152da393926ae2025-01-23T11:25:18ZengEdiciones Universidad de SalamancaAdvances in Distributed Computing and Artificial Intelligence Journal2255-28632024-12-0113e31639e3163910.14201/adcaij.3163937120Optimal Positioning and Sizing of Distributed Energy Sources in Distribution System Using Hunter-Prey Optimizer AlgorithmP. Rajakumar0M. Senthil Kumar1K. Karunanithi2S. Vinoth John Prakash3P. Baburao4S. P. Raja5Department of EEE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai – 600 062, Tamilnadu, IndiaDepartment of EEE, Sona College of Technology, Salem – 636005, Tamilnadu, IndiaDepartment of EEE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai – 600 062, Tamilnadu, IndiaDepartment of EEE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai – 600 062, Tamilnadu, IndiaDepartment of EEE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai – 600 062, Tamilnadu, IndiaSchool of Computer Science and Engineering, Vellore Institute of Technology, Vellore-632014, Tamilnadu, IndiaThe integration of distributed generation (DG) based on renewable energy (RE), in distribution power networks (DPN) has become indispensable for reducing power losses and voltage deviation along the DPN. Typical DGs are placed adjacent to the load in DPN and locally distribute adequate active and reactive power. However, the appropriate placement of DG in DPN at the right location and size is essential to achieve the desired objectives. In this paper, DG is optimized into radial DPN with the aid of a recent bio-inspired hunter-prey optimization (HPO) algorithm. HPO is a bio-inspired and population-based optimization algorithm that mimics the hunting action of an animal. The HPO algorithm evades the local optimal stagnation and reaches the optimal solution rapidly. HPO optimizes solar photovoltaic (PV) and wind turbine (WT) DG systems to minimize multi-objective functions (MOFs) including active power loss (APL) and voltage deviation (VD), and to enhance voltage stability (VS). An optimized solution has been obtained for a standard IEEE 69-bus radial DPN and the optimized simulation result of HPO has been compared with other optimization algorithms with the aim of assessing its effectiveness. The optimized PV and WT DG integration via the proposed HPO algorithm has yielded a power loss reduction of 67.10 % and 90.4 %, respectively. Furthermore, a considerable enhancement in bus voltage and voltage stability has been seen in radial DPN after the inclusion of DG.https://revistas.usal.es/cinco/index.php/2255-2863/article/view/31639distributed generatorsdistribution power networkshunter-prey optimizationphotovoltaic systemwind turbine |
| spellingShingle | P. Rajakumar M. Senthil Kumar K. Karunanithi S. Vinoth John Prakash P. Baburao S. P. Raja Optimal Positioning and Sizing of Distributed Energy Sources in Distribution System Using Hunter-Prey Optimizer Algorithm Advances in Distributed Computing and Artificial Intelligence Journal distributed generators distribution power networks hunter-prey optimization photovoltaic system wind turbine |
| title | Optimal Positioning and Sizing of Distributed Energy Sources in Distribution System Using Hunter-Prey Optimizer Algorithm |
| title_full | Optimal Positioning and Sizing of Distributed Energy Sources in Distribution System Using Hunter-Prey Optimizer Algorithm |
| title_fullStr | Optimal Positioning and Sizing of Distributed Energy Sources in Distribution System Using Hunter-Prey Optimizer Algorithm |
| title_full_unstemmed | Optimal Positioning and Sizing of Distributed Energy Sources in Distribution System Using Hunter-Prey Optimizer Algorithm |
| title_short | Optimal Positioning and Sizing of Distributed Energy Sources in Distribution System Using Hunter-Prey Optimizer Algorithm |
| title_sort | optimal positioning and sizing of distributed energy sources in distribution system using hunter prey optimizer algorithm |
| topic | distributed generators distribution power networks hunter-prey optimization photovoltaic system wind turbine |
| url | https://revistas.usal.es/cinco/index.php/2255-2863/article/view/31639 |
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