Automated parameter derivation for power plant models from system disturbance data

This paper describes a novel new approach for automated parameter derivation of models for synchronous generators, their excitation system and the turbine-governor by using digitally recorded on-line unit response to system disturbances. The benefit of this methodology as opposed to collecting data from a series of staged tests (mainly off-line) is explained. In addition, the parameter derivation process is an automated routine that has been modified from previous work to use on-line disturbance recordings. This approach has been successfully applied to two large steam-turbine generators and one gas turbine in the North American power system. The results of two of these case studies are also reported together with fruitful insight into the limitations of some of the models available for power plant modeling in planning studies.