A REVIEW ON SYSTEM IDENTIFICATION IN POWER GENERATION SYSTEMS

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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