Multiobjective Optimal Power Flow Using Hybrid Evolutionary Algorithm
International journal of electrical and electric engineering,Vol.4, Page No.506_511.
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| Hōputu: | Hautaka |
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IEEE
2023
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| Urunga tuihono: | https://ir.oauife.edu.ng/123456789/5190 |
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| author | Alawode, Kehinde Komolafe, Olusola Abimbola, Jubril |
| author_facet | Alawode, Kehinde Komolafe, Olusola Abimbola, Jubril |
| author_sort | Alawode, Kehinde |
| collection | DSpace |
| description | International journal of electrical and electric engineering,Vol.4, Page No.506_511. |
| format | Journal |
| id | oai:ir.oauife.edu.ng:123456789-5190 |
| institution | My University |
| language | English |
| publishDate | 2023 |
| publisher | IEEE |
| record_format | dspace |
| spelling | oai:ir.oauife.edu.ng:123456789-51902023-05-13T16:14:54Z Multiobjective Optimal Power Flow Using Hybrid Evolutionary Algorithm Alawode, Kehinde Komolafe, Olusola Abimbola, Jubril economic dispatch Convergence Accelerator Operator Non-dominated Sorting Genetic Algorithm-II multiobjective evolutionary algorithms International journal of electrical and electric engineering,Vol.4, Page No.506_511. This paper solves the environmental/ economic dispatch power system problem using the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) and its hybrid with a Convergence Accelerator Operator (CAO), called the NSGA-II/CAO. These multiobjective evolutionary algorithms were applied to the standard IEEE 30-bus six-generator test system. Several optimization runs were carried out on different cases of problem complexity. Different quality measure which compare the performance of the two solution techniques were considered. The results demonstrated that the inclusion of the CAO in the original NSGA-II improves its convergence while preserving the diversity properties of the solution set. 2023-05-13T16:14:54Z 2023-05-13T16:14:54Z 2010-01 Journal https://ir.oauife.edu.ng/123456789/5190 en text/plain IEEE |
| spellingShingle | economic dispatch Convergence Accelerator Operator Non-dominated Sorting Genetic Algorithm-II multiobjective evolutionary algorithms Alawode, Kehinde Komolafe, Olusola Abimbola, Jubril Multiobjective Optimal Power Flow Using Hybrid Evolutionary Algorithm |
| title | Multiobjective Optimal Power Flow Using Hybrid Evolutionary Algorithm |
| title_full | Multiobjective Optimal Power Flow Using Hybrid Evolutionary Algorithm |
| title_fullStr | Multiobjective Optimal Power Flow Using Hybrid Evolutionary Algorithm |
| title_full_unstemmed | Multiobjective Optimal Power Flow Using Hybrid Evolutionary Algorithm |
| title_short | Multiobjective Optimal Power Flow Using Hybrid Evolutionary Algorithm |
| title_sort | multiobjective optimal power flow using hybrid evolutionary algorithm |
| topic | economic dispatch Convergence Accelerator Operator Non-dominated Sorting Genetic Algorithm-II multiobjective evolutionary algorithms |
| url | https://ir.oauife.edu.ng/123456789/5190 |
| work_keys_str_mv | AT alawodekehinde multiobjectiveoptimalpowerflowusinghybridevolutionaryalgorithm AT komolafeolusola multiobjectiveoptimalpowerflowusinghybridevolutionaryalgorithm AT abimbolajubril multiobjectiveoptimalpowerflowusinghybridevolutionaryalgorithm |