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...

Cijeli opis

Spremljeno u:
Bibliografski detalji
Glavni autor: Salkuti, Surender Reddy (Autor)
Daljnji autori: Woosong University's Academic Research Funding-2019 (Pridonositelj)
Format: EJournal Article
Izdano: Institute of Advanced Engineering and Science, 2020-06-01.
Teme:
Online pristup:Get fulltext
Oznake: Dodaj oznaku
Bez oznaka, Budi prvi tko označuje ovaj zapis!

Internet

Get fulltext

3rd Floor Main Library

Detalji primjeraka od 3rd Floor Main Library
Signatura: A1234.567
Primjerak 1 Dostupno