Multi-Objective Golden Flower Optimization Algorithm for Sustainable Reconfiguration of Power Distribution Network with Decentralized Generation
This paper provides a meta-heuristic hybridized version called multi-objective golden flower pollination algorithm (MOGFPA) as the best method for choosing the optimal reconfiguration for distribution networks (DNs) in order to reduce power losses (PLs). Aside from PLs, another parameter is consider...
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MDPI AG
2023-01-01
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| Online Access: | https://www.mdpi.com/2075-1680/12/1/70 |
| _version_ | 1797446149823528960 |
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| author | Dhivya Swaminathan Arul Rajagopalan |
| author_facet | Dhivya Swaminathan Arul Rajagopalan |
| author_sort | Dhivya Swaminathan |
| collection | DOAJ |
| description | This paper provides a meta-heuristic hybridized version called multi-objective golden flower pollination algorithm (MOGFPA) as the best method for choosing the optimal reconfiguration for distribution networks (DNs) in order to reduce power losses (PLs). Aside from PLs, another parameter is considered: the load balance index (LBI). The expression for the LBI is stated using real and reactive indices. It makes the optimal distributed generation (DG) placement and DN routing of the multi-objective (MO) problem have PLs and the LBI as the main parameters that need to be optimized. For that purpose, the MOGFPA is proposed in this paper. The MOGFPA consists of a golden search (GS) and tangent flight with Pareto distribution that only needs a few tuning parameters. Therefore, it is simple to alter these parameters to reach the best values compared to other existing methodologies. Its performance is predicted using different case studies on multiple test bus systems, namely the IEEE systems such as 33, 69, 119, and Indian 52 bus. Through simulation outcomes, the MOGFPA computes the optimum distribution of DG units and reconfigures the DNs with the aim of minimal PLs and LBI. Furthermore, another state-of-the-art technology and comparing convergence charts provide optimal outputs in less time, with minimum iterations. |
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| institution | Directory Open Access Journal |
| issn | 2075-1680 |
| language | English |
| last_indexed | 2024-03-09T13:36:03Z |
| publishDate | 2023-01-01 |
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| spelling | doaj.art-7049524b10a94b7fb73378d4a10369472023-11-30T21:11:53ZengMDPI AGAxioms2075-16802023-01-011217010.3390/axioms12010070Multi-Objective Golden Flower Optimization Algorithm for Sustainable Reconfiguration of Power Distribution Network with Decentralized GenerationDhivya Swaminathan0Arul Rajagopalan1School of Electrical Engineering, Vellore Institute of Technology, Chennai 600127, Tamil Nadu, IndiaSchool of Electrical Engineering, Vellore Institute of Technology, Chennai 600127, Tamil Nadu, IndiaThis paper provides a meta-heuristic hybridized version called multi-objective golden flower pollination algorithm (MOGFPA) as the best method for choosing the optimal reconfiguration for distribution networks (DNs) in order to reduce power losses (PLs). Aside from PLs, another parameter is considered: the load balance index (LBI). The expression for the LBI is stated using real and reactive indices. It makes the optimal distributed generation (DG) placement and DN routing of the multi-objective (MO) problem have PLs and the LBI as the main parameters that need to be optimized. For that purpose, the MOGFPA is proposed in this paper. The MOGFPA consists of a golden search (GS) and tangent flight with Pareto distribution that only needs a few tuning parameters. Therefore, it is simple to alter these parameters to reach the best values compared to other existing methodologies. Its performance is predicted using different case studies on multiple test bus systems, namely the IEEE systems such as 33, 69, 119, and Indian 52 bus. Through simulation outcomes, the MOGFPA computes the optimum distribution of DG units and reconfigures the DNs with the aim of minimal PLs and LBI. Furthermore, another state-of-the-art technology and comparing convergence charts provide optimal outputs in less time, with minimum iterations.https://www.mdpi.com/2075-1680/12/1/70distribution networkload balance indexmeta-heuristicsmulti-objectivepower loss minimizationsustainability |
| spellingShingle | Dhivya Swaminathan Arul Rajagopalan Multi-Objective Golden Flower Optimization Algorithm for Sustainable Reconfiguration of Power Distribution Network with Decentralized Generation Axioms distribution network load balance index meta-heuristics multi-objective power loss minimization sustainability |
| title | Multi-Objective Golden Flower Optimization Algorithm for Sustainable Reconfiguration of Power Distribution Network with Decentralized Generation |
| title_full | Multi-Objective Golden Flower Optimization Algorithm for Sustainable Reconfiguration of Power Distribution Network with Decentralized Generation |
| title_fullStr | Multi-Objective Golden Flower Optimization Algorithm for Sustainable Reconfiguration of Power Distribution Network with Decentralized Generation |
| title_full_unstemmed | Multi-Objective Golden Flower Optimization Algorithm for Sustainable Reconfiguration of Power Distribution Network with Decentralized Generation |
| title_short | Multi-Objective Golden Flower Optimization Algorithm for Sustainable Reconfiguration of Power Distribution Network with Decentralized Generation |
| title_sort | multi objective golden flower optimization algorithm for sustainable reconfiguration of power distribution network with decentralized generation |
| topic | distribution network load balance index meta-heuristics multi-objective power loss minimization sustainability |
| url | https://www.mdpi.com/2075-1680/12/1/70 |
| work_keys_str_mv | AT dhivyaswaminathan multiobjectivegoldenfloweroptimizationalgorithmforsustainablereconfigurationofpowerdistributionnetworkwithdecentralizedgeneration AT arulrajagopalan multiobjectivegoldenfloweroptimizationalgorithmforsustainablereconfigurationofpowerdistributionnetworkwithdecentralizedgeneration |