Multiobjective nonlinear system identification: a case study with thyristor controlled series capacitor (TCSC)

Abstract

This paper deals with multiobjective nonlinear system identification applied when modelling the relation of firing angle and equivalent reactance of a thyristor controlled series capacitor (TCSC). The mathematical representation chosen is NARMAX (Nonlinear AutoRegressive Moving Average with eXogenous inputs) due to its capability in modelling nonlinear systems and in using prior information. The methodology for incorporation of prior knowledge is presented, and particular attention is given to the case of using information about resonant static response.

Acknowledgements

The authors thank CAPES, CNPq and FAPEMIG for supporting this work.