Multi-objective ant lion optimization algorithm to solve large-scale multi-objective optimal reactive power dispatch problem
| dc.contributor.author | Souhil, MOUASSA | |
| dc.date.accessioned | 2022-03-01T09:02:23Z | |
| dc.date.available | 2022-03-01T09:02:23Z | |
| dc.date.issued | 2017-01-07 | |
| dc.description.abstract | In the vast majority of published papers, the optimal reactive power dispatch (ORPD) problem is dealt as a single-objective optimization; however, optimization with a single objective is insufficient to achieve better operation performance of power systems. Multi-objective ORPD (MOORPD) aims to minimize simultaneously either the active power losses and voltage stability index, or the active power losses and the voltage deviation. The purpose of this paper is to propose multi-objective ant lion optimization (MOALO) algorithm to solve multi-objective ORPD problem considering large-scale power system in an effort to achieve a good performance with stable and secure operation of electric power systems. | en_US |
| dc.identifier.citation | Elsevier | en_US |
| dc.identifier.uri | http://172.16.99.83:4000/handle/123456789/12354 | |
| dc.language.iso | en | en_US |
| dc.publisher | university bouira | en_US |
| dc.title | Multi-objective ant lion optimization algorithm to solve large-scale multi-objective optimal reactive power dispatch problem | en_US |
| dc.type | Article | en_US |