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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Autore principale: Salkuti, Surender Reddy (Autore)
Altri autori: Woosong University's Academic Research Funding-2019 (Contributore)
Natura: EJournal Article
Pubblicazione: Institute of Advanced Engineering and Science, 2020-06-01.
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