Neural network for estimation of harmonic components in a power system

The author presets a novel approach to the estimation of harmonics in the power system. The proposed method uses the optimisation neural network theory and its implementation in an analogue form. As is proven this formulation, and its practical implementation, lads to the correct solution of the problem in real time. the solution presented is inexpensive and suitable for use with the solid state compensating systems to improve the quality of delivered energy