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SUBOPTIMAL ADAPTIVE CONTROL TO STABILIZE POWER SYSTEMS

Date

1973-05

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Degree Level

Doctoral

Abstract

Power systems must be stable and secure under normal operating conditions; however disturbances that occur during normal operation, such as equipment faults, cyclic loads or the switching of large loads, can excite modes of oscillation lathe electrical and mechanical generating equipment which, if not damped out, could precipitate major power system outages. One of the nodes that is particularly lightly damped is the one which characterizes the variation in generator shaft speed, and the damping of this mode is reduced by the action of high gain fast acting excitation systems. Fortunately, this damping can be improved through the use of special feedback controllers. This thesis describes research work which was done to improve generating unit speed oscillation damping using a combination of dynamic system state estimation and particular aspects of modern optimal and adaptive control. In this thesis the conventional approaches to damping enhancement are reviewed and the need for alternative techniques is given. The pertinent aspects of modern control theory as related to this specific problem are reviewed and using these, a technique is presented for the design and implementation of a suboptimal adaptive controller for generator speed oscillation damping enhancement. The results of several digital simulation studies of systems are given to illustrate the design techniques and to illustrate the type of performance that would be possible to achieve. In summary, the results are encouraging and it is recommended that further work be done to implement these methods in laboratory and field situations.

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Degree

Doctor of Philosophy (Ph.D.)

Department

Electrical Engineering

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