Predictive Method of the Generator Output Based on the Learning of Performance Data in Power Plant

摘要

Disclosed is a method for estimating generator output by power plant performance data learning. The method for estimating generator output for use in a power generation plant includes the steps of: measuring generator output, outputted from a controller for controlling a generator, through a turbine expansion line model based on data from a sensor coupled to the generator; verifying the data for the measured generator output through an input data verifying model; and comparing generator output data calculated through the previously set learning model with the previously verified generator output data. The present invention increases the reliability by improving the correction performance estimation model of a conventional technology.