Comparative approach: Electric distribution optimization with loss minimization algorithm and particle swarm optimization
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arXiv
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866909187525574656 |
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| author | Bouabbadi, Soufiane |
| author_facet | Bouabbadi, Soufiane |
| contents | Power systems are very large and complex, it can be influenced by many unexpected events this makes power system optimization problems difficult to solve, hence methods for solving these problems ought to be an active research topic. This review presents an overview of important mathematical comparaison of loss minimization algorithm and particle swarm optimization algorithm in terms of the performances of electric distribution. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_00680 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Comparative approach: Electric distribution optimization with loss minimization algorithm and particle swarm optimization Bouabbadi, Soufiane Neural and Evolutionary Computing Power systems are very large and complex, it can be influenced by many unexpected events this makes power system optimization problems difficult to solve, hence methods for solving these problems ought to be an active research topic. This review presents an overview of important mathematical comparaison of loss minimization algorithm and particle swarm optimization algorithm in terms of the performances of electric distribution. |
| title | Comparative approach: Electric distribution optimization with loss minimization algorithm and particle swarm optimization |
| topic | Neural and Evolutionary Computing |
| url | https://arxiv.org/abs/2405.00680 |