|Title:||Robust control design in AC/DC system|
|Subject:||Electric power systems -- Design and construction|
Hong Kong Polytechnic University -- Dissertations
Department of Electrical Engineering
|Pages:||viii, 59 leaves : ill. ; 30 cm|
|Abstract:||Rapid advances in power electronics have made it both practicable and economical to design powerful thyristor-controlled devices, such as Flexible AC Transmission Systems (FACTS), for stability enhancements. The discrepancies of existing modeling approaches have limited the feasibility of handling these devices or designing its damping controller. In this report, a versatile and generalized approach to model standard power system components is proposed. The more systematic and realistic representation, accompanied by the development of powerful eigenvalue-analysis techniques, facilitates the study of small signal stability of the power systems. Recently, the robustness of the controller is a major concern in power system control design. As most controller designs are based on some deterministic conditions, their performance may not be adequate under wide range of operating conditions. Due to the inherent fast controllability of power flow in DC links, this supplementary, but meaningful, subject of DC links then becomes very attractive in power engineering. This report demonstrates how to design an H based damping controller for a HVDC link to enhance system damping under different operating conditions. Numerator-denominator perturbation representation is used to represent the model uncertainty and partial pole placement technique is employed to assign the critical mode to a specified location. A robust H controller is successfully designed in step-by-step procedures by treating the change of operating conditions of the highly non-linear power system as model uncertainty and taking into account at the design stage. Simulation results show that the proposed controller is very effective to enhance the performance and robustness of the power system under the predefined uncertainties. Although these studies are developed on selected controller devices or typical system for convenience of discussion, extension to more complex systems can be dealt with in a similar way because of the versatility of the proposed modeling methodology.|
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