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| Author(s): |
Rodrigo Andrade Ramos
Total Authors: 1
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| Document type: | Doctoral Thesis |
| Press: | São Carlos. |
| Institution: | Universidade de São Paulo (USP). Escola de Engenharia de São Carlos (EESC/SBD) |
| Defense date: | 2002-12-16 |
| Examining board members: |
Newton Geraldo Bretas;
Alexandre Sanfelice Bazanella;
Vivaldo Fernando da Costa;
Maurício Carvalho de Oliveira;
Glauco Nery Taranto
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| Advisor: | Newton Geraldo Bretas; Luís Fernando Costa Alberto |
| Abstract | |
This research proposes a new methodology for the design of controllers to damp low frequency electromechanical oscillations in power systems. Considering the need to improve the robustness of the classical stabilizers, with respect to variations in the operating conditions, this study has analyzed a series of practical requirements to be met by the new damping controllers and developed the proposed methodology, so the designed controllers could satisfy all the analyzed equirements. Questions regarding the controller structure (decentralized dynamic output feedback), the robustness of stability and performance (through the polytopic modelling and the regional pole placement criteria) and the non influence of the controllers over the steady state behavior of the system (with the inclusion of washout filters in the model) were treated. The main advantage of the proposed methodology is the possibility to ensure, formally, the performance robustness of the controllers, within a previously specified region of operating points. The results, obtained through the eigenanalysis of the closed loop system and the nonlinear simulations of the system responses to a series of disturbances, in various operating conditions, show that the controllers provided by this new methodology are capable of maintaining their performance, despite the considered variations. Moreover, the satisfactory results obtained with the application of this methodology to a system with 45 state variables indicates good perspectives for the joint utilization of the methodology and model order reduction techniques, for the design of damping controllers for real-sized systems. (AU) | |