Intelligent algorithms of power grid's state identification

A technology for estimating the dynamics of power grid's generating facilities participation in overall primary frequency regulation in contingencies is developed based on frequency and generating capacity time series. The paper discusses process identification algorithms based on virtual fuzzy models design using process data archives and knowledge bases. Associative search methods are used for identification algorithms development.