A REVIEW ON SYSTEM IDENTIFICATION IN POWER GENERATION SYSTEMS

Year 2018, Volume: 60 Issue: 2, 147 - 162, 01.08.2018

Derya Ozkaya İlhan Kosalay

Abstract

Power
generation systems with multiple input-multiple output have a wide operating
range and may not be fully defined by a fixed model due to high-order nonlinear
dynamics. As the parameters of the conventional excitation and speed governor
controllers are determined by the system model which is linearized around one
operating point, the performances of the controllers at different operating
points can be reduced. Large disturbances encountered in the system can cause
the controllers to operate outside the linear region. In addition, when the
plant's operating structure changes with time or with changing environmental
conditions, it is necessary to readjust the controller parameters. This
readjustment is needed because the controller parameters that are set to
provide the best performance at one operating point may not provide the same
performance when the operating points change. In order to avoid the degradation
in controller performance, system identification can be performed so that the
controller parameters will have an adaptive structure. At the same time, it
will be possible to make predictive maintenance, determine optimum operating
points, diagnose faults and estimate performance by means of the power plant
model built on the basis of system identification. In order to meet these
requirements, system identification methods used in power generation systems
have been examined throughout this review study and the performances obtained
as a result of the changes made in the controllers have been compared.

 

Keywords

System identification, control loop, power generation

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