Harmonic reduction in TCR and TSC using Artificial Neural Network

One of the most important parameters of Reactive Power Compensators is minimum production of harmonics. Nowadays by considering the improvement of power systems in power quality and the importance of harmonics in power quality, compensators by minimum harmonic distortion should be designed. In this paper the issue of harmonic reduction in determining the fire angle of TCR¹ and TSC² that are very important in FACTs³, is proposed. Determination of optimum angles for minimizing the THD⁴ is investigated and finally for online control and faster decision, artificial neural network has been used and satisfactory results have been obtained and to have minimum THD, existence of maximum possible capacitors for both negative and positive reactive power is calculated.