| Summary: | 碩士 === 國立清華大學 === 電機工程學系 === 99 === There are mainly two kinds of control technology, local and wide-area, for the damping control in power system. For depressing the low frequency oscillation, the traditional power system stabilizers often utilize the local unit signal that only suppress the local oscillation. Such a system can not promote the regional damping among the power systems. The development of wide-area measuring system in these years has efficiently suppressed the regional oscillation and improved the system damping. However, that may also deteriorate the damping in other modes when the local and wide-area damping controllers are improving under-damping of the power system. This thesis proposes the coordinated optimum design of the control parameters in damping controllers to promote the control efficiency and to prevent the damping of system from deteriorating worse.
In this thesis, we propose a working flow for disposition of stabilizers and the optimization of its parameters. We dispose the local power system stabilizers by the local participation factors at first. The particle swarm optimization (PSO) was proposed to coordinate the control parameters of all the controllers. Next, the local and wide-area stabilizers are disposed in accordance with the local and global participation factors. The parameters of all stabilizers are coordinated and optimized by PSO as well. Thirdly, the local stabilizers are disposed by the residue and the relative gain matrix analysis accompanied with the optimum parameters by PSO again. At last, the disposition of local and wide-area stabilizers are arranged by the residue, relative gain matrix analysis, and the global participation factors. The parameters are also optimized by PSO.
The result of this thesis shows that there exists the time delay phenomenon in wide-area damping controllers by using Pade approximation method to express time delay. The proposed working flow for the power system reveals that the wide-area damping controllers can possess good anti-time-delay ability by the optimum parameters from PSO.
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