A Novel Combination of Genetic Algorithm, Particle Swarm Optimization, and Teaching-Learning-Based Optimization for Distribution Network Reconfiguration in Case of Faults
Reconfiguring distribution networks involves modifying their topological structure by managing switch states. This process is crucial in smart grids, as it can isolate faults, minimize power loss, and enhance system stability. However, in existing research, the reconfiguration task is often treated...
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| Format: | Article |
| Language: | English |
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D. G. Pylarinos
2024-02-01
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| Series: | Engineering, Technology & Applied Science Research |
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| Online Access: | https://etasr.com/index.php/ETASR/article/view/6718 |