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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/35636

    Title: 利用灰預測法設計電力系統穩定器
    Other Titles: Power system stabilizer design using grey predicting method
    Authors: 張世鈺;Chang, Shih-yu
    Contributors: 淡江大學電機工程學系博士班
    黃聰亮;Huang, Tsong-liang
    Date: 2005
    Issue Date: 2010-01-11 06:54:39 (UTC+8)
    Abstract: 由於工業發展與人口增加,用電需求量大增,為提供良好供電品質與提高系統穩定度,各電力系統間遂發展為互聯電力系統,使傳輸距離增長,當發電廠遠離負載中心系統時負載變動或故障發生就會容易引發自發性低頻振盪。為改善系統低頻振盪,提高系統阻尼,本論文提出使兩種灰預測電力系統穩定器設計之新方法:1. 次特徵結構指定灰色預測穩定器-適用大型電廠內各機組調度設定 本設計利用最佳降階理論限制輸出變數特性,使輸出變數能主控系統主極點,使穩定器在完成特徵結構指定同時,不會產生其他不良主極點,可有效改善傳統特徵結構指定法之缺點。同時利用灰色預測器預測電力系統響應狀態並且提出利用模糊理論決定預測步距提供給灰測預測器使用,使穩定器更準掌控系統變化狀況,降低取樣時間與訊號傳輸延遲的影響,提高控制精確度。 2. 分離式滑動模式灰色預測穩定器-適合小型電廠組成之區域互聯網路 本設計結合輸出回授分離式設計與滑動模式控制,並利用次特徵結構法選取滑動模式中之切換向量,使系統可只利用輸出回授信號就可指定進入切換界面後之系統特徵值,且不會產生其他不良主極點,提高滑動模式控制在電力系統中之實用性。由系統模擬結果證明兩種穩定器設計皆可達到預估之特性。
    In power system, the degree of low frequency oscillation and damping ratio of the system are the most important factors influencing the electro-mechanical output quality. Hence, the improvement of the damping ratio will be the index of the power system stabilizer design. Based on the eigenstructure assignment and grey predicting methods, a new approach to design the decentralized power system stabilizers is proposed.To retain the physical meaning and effectiveness of the output variables, the optimal reduced model is used. We reduce the power system model into two state variables of each generator. By using the output states feedback, a new method of designing optimal decentralized stabilizer is also introduced. The grey predicting method will be adopted to the forecast the information of the output state variables to control power system behaviour. The oscillation of the system will be reduced and the dynamic stability of the power system is also enhanced.
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Thesis

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