| Summary: | 碩士 === 淡江大學 === 電機工程學系 === 90 === This thesis proposes a new approach-Variable Structure Grey PID Control to design the power system stabilizers (PSS). The design of a PSS can be formulated as an optimal linear regulator control problem. However, implementing this technique requires the design of estimators. That increases the implementation and reduces the reliability of control system. Therefore, favor a control scheme that uses only some desired state variables, such as torque angle and speed.
To deal with this problem, we use the optimal reduced models to reduce the power system model into two state variables system by each generator and use Variable Structure Grey PID Control to find control signal of each generator. Moreover, we will apply Genetic Algorithms (GAs) to find the appropriate parameter values for the desired system. Finally, the advantages of the proposed method are illustrated by numerical simulation of the two machines-infinite-bus power systems.
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