Hydrogenerator system identification using a simple genetic algorithm

This paper investigates an identification procedure for a hydrogenerator plant using an adaptive technique. The procedure operates on field data consisting of sampled gate position and electrical frequency. The field data was recorded while the plant was operating under various load conditions. The procedure adapted to ongoing plant changes by continuously updating the identification results. It is shown that the adaptive technique, in this case genetic algorithm based, was capable of identifying the hydrogenerator system and following plant parameter changes while the plant operated under conditions of sufficient frequency excursions. These conditions include offline and isolated network operation where effective control is critical.