本文提出利用灰預測型模糊PID控制器來設計電力系統穩定器（PSS）。電力系統穩定器可利用最佳線性調整來設計，但利用此方法會造成設計上的耗費及減少可靠度。因此，我們提出只利用需要的狀態變數之控制設計，如角頻率及轉矩角。為了解決這些設計上的問題，我們使用最佳降階法將每部發電機降階成兩狀態變數矩陣，再利用模糊系統調整PID控制尋找得每部發電機的控制信號，其中，灰色預測器是採用系統的輸出當做下一時刻的輸入來進行預測。在本文的最後並會應用此方法於雙機無限匯流排，模擬此結果並舉出其優點。 This paper proposed a new approach to design the power system stabilizers (PSS) by utilizing the fuzzy PID with grey system theory. The design of a PSS can be formulated as an optimal linear regulator control problem; however, implementing this technique requires the design of estimators. This increases the implementation and reduces the reliability of the control system. Therefore, a favor control scheme that uses only some desired state variables; such as torque angle and speed will be used. To deal with this problem, we use the optimal reduced models to reduce the power system model into two state variables system for each generator and use the fuzzy PID control to find the control signal of each generator. The grey predictor is adopted to make the next-step prediction for the output states of the power system. Finally, the advantages of the proposed method are illustrated by numerical simulation of the two machines-infinite-bus power systems.
Relation:
中華民國第二十三屆電力工程研討會論文集(下)=Proceedings of the 23rd Symposium on Electrical Power Engineering(Volume II)，頁808-812
