The use of artificial neural networks (ANNs) in power system problems is increasing attention due
to their ability to learn and handle the nonlinearities and uncertainties of the systems. Since the last
decade, different ANNs identification and filtering techniques have been applied in power systems
and adaptive linear neuron networks (ADALINE) are actually widely used. More recently artificial
neural networks have been introduced as a complement or an alternative to traditional control
algorithms. The use of neural networks in control applications including process control, robotics,
industrial manufacturing and aerospace applications, among others has recently experienced rapid
growth. This paper proposes a new control method for shunt active power filter, which is based on
ANN. An adaptive linear neuron (ADALINE) will be presented to estimate the reference
compensation currents. The resultant compensation currents eliminate harmonics and reactive
power compensation with a quick dynamic response. Theortical and expermental results in a good
agreement