Artificial fish swarm optimization algorithm for power system state estimation

In this paper, the power system state estimation (SE) problem is formulated as a general non-linear programming problem with equality constraints and boundary limits on the state variables. The proposed SE problem is solved using an evolutionary based Artificial Fish Swarm Optimization Algorithm (AF...

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Autor Principal: Salkuti, Surender Reddy (Author)
Outros autores: Woosong University's Academic Research Funding-2019 (Contributor)
Formato: EJournal Article
Publicado: Institute of Advanced Engineering and Science, 2020-06-01.
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Número de Clasificación: A1234.567
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