Evaluation of the adaptive Behaviour of an Artificial Neural Network controller for a Hybrid Power Compensator

摘要

An artificial neural network (ANN) is used to optimally control a hybrid power compensator (HPC) consisting of a static VAR compensatory (SVC) and a dynamic compensator (DC) during the compensation of nonlinear loads. The HPC must be controlled to meet minimum requirements in terms of power factor and harmonic distortion, While at the same time minimising its total cost. The ability of the ANN to adapt its output when subjected to a Dynamic power system environment to achieve the above, is evaluated. The power system dynamics in this paper Consitute line impedance changes and changes in the load conditions of other consumers coupled to the same Network.