GENERATOR DYNAMIC MODEL PARAMETER ESTIMATION AND TUNING USING ONLINE DATA AND SUBSPACE STATE SPACE MODEL

摘要

Generator dynamic model parameter estimation and tuning using online data and subspace state space models are disclosed. According to one embodiment, a system comprises a sensor, a data acquisition network in communication with the sensor; a user console and an identification and tuning engine in communication with the data acquisition network, the user console, and a database. The database comprises one or more generator models, and the identification and tuning engine identifies and tunes parameters associated with a selected generator model.