A novel RK4-Hopfield neural network for power flow analysis of power system
This paper presents a novel Runge–Kutta (RK4) based modified hopfield neural network (MHNN) for solving a set of non-linear transcendental power flow equations of power system. The proffered method is a Lyapunov based energy function approach to minimize real and reactive power mismatches of the sys...
| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado em: |
Elsevier
2020
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| Acesso em linha: | http://psasir.upm.edu.my/id/eprint/87629/1/ABSTRACT.pdf |