In power system engineering, practically all results of modern control theory can be applied. Such an application will result in a more economical, more convenient and higher service quality operation and in less inconvenience in the case of abnormal conditions. For its analytical treatment, control system design generally requires the determination of a mathematical model from which the control strategy can be derived. While much of the control theory postulates that a model of the system is available, it is also necessary to have a suitable technique to determine the models for the process to be controlled. It is therefore essential to model and identify power system components using both physical relationships and experimental or normal operating data. The objective of system identification is the determination of a mathematical model that characterizes the operation of a system in some form. The available information is either system output or a function of the system output. The input may be a known function applied for the purpose of identification, or an unknown function which could possibly be monitored, or a combination of both.
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