Hopfield network and parallel genetic algorithm for solving state estimate in power systems

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.