Intelligent Control of Power Generation States

The topicality of the problem of power generating facility identification is justified against the background of European and Russian power grids interconnection. Intelligent control techniques for power generation states is presented. 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. Process identification algorithms based on virtual models design using process data archives and knowledge bases are discussed. Associative search methods are used for identification algorithms development.