학술논문
Hopfield network and parallel genetic algorithm for solving state estimate in power systems
Document Type
Conference
Author
Source
2004 International Conference on Power System Technology, 2004. PowerCon 2004. Power System Technology - POWERCON Power System Technology, 2004. PowerCon 2004. 2004 International Conference on. 1:845-849 Vol.1 2004
Subject
Language
Abstract
In power systems, the state estimation computation takes an important role in security controls and the weighted least squares (WLS) method has been widely used at present This paper presents the artificial neural network for static state estimation. Hopfield neural network (HNN) and parallel genetic algorithms (PGA) are employed to solve static state estimation on the 5 bus system.