臺灣博碩士論文加值系統

本論文利用切線向量指標，來預測偶發事故發生後之系統穩定度裕度及電壓的改變。首先計算偶發事故發生後之二點潮流解，然後利用二次曲線及切線向量來估測其電壓崩潰點，而此點就是其電壓穩定度裕度。上述求解的資料是根據目前運轉點之工作條件，及預測短期的發電機調度與負載需求等的資料而得。並利用切線向指標來預測當偶發事故發生後電壓變化的情形。最後並利用IEEE 57-bus及118-bus測試系統作為驗證。

Given the current operating condition at each bus from real-time database, from the short-term load forecast, or from near-term generation dispatch, we present a method for real-time contingency prediction and selection in current energy management systems. This method can be applied to contingency prediction and selections for the near-term power system in terms of load margins to collapse and of the bus voltage magnitudes. The propose algorithm uses only two tangent vectors of power flow solutions and curve fitting based techniques to perform look-ahead load margin and voltage magnitude simultaneously. Therefore, it can overcome the traditional snap-shot contingency analysis methods. Simulations are performed on IEEE 57 and 118-bus test systems to demonstrate the feasibility of this method.

頁次
第一章 緒論．．．．．．．．．．．．．．．．．．．．．．．． 1
1.1 簡介．．．．．．．．．．．．．．．．．．．．．．． 1
1.2 研究動機及研究目的．．．．．．．．．．．．．．．． 1
1.3 研究背景．．．．．．．．．．．．．．．．．．．．． 3
1.3.1 電壓穩定度與其指標．．．．．．．．．．．．．． 3
1.3.2 偶發事故電壓穩定度評估．．．．．．．．．．．． 5
1.4 相關研究．．．．．．．．．．．．．．．．．．．．． 8
1.4.1 Snap-Shot分析．．．．．．．．．．．．．．．．． 8
1.4.2 直流潮流法(DC Power Flow Methods)．．．．．．． 11
1.4.3 交流潮流法(AC Power Flow Methods)．．．．．．． 12
1.5 結論及論文組織架構．．．．．．．．．．．．．．．． 17
第二章以切線向量指標作靜態電壓穩定度偶發事故之篩選及預測．．．．．．．．．．．．．．．．．．．．．．．．．．．．．19
2.1 簡介．．．．．．．．．．．．．．．．．．．．．．． 19
2.2 切線向量指標(Tangent Vector Index)．．．．．．．． 19
2.2.1 切線向量(Tangent Vector)．．．．．．．．．．．．20
2.2.2 利用切線向量求解崩潰點之電壓．．．．．．．．．．21
2.2.3 等效證明．．．．．．．．．．．．．．．．．．．．22
2.3 求解方法．．．．．．．．．．．．．．．．．．．．． 25
2.3.1 求解步驟．．．．．．．．．．．．．．．．．．．．26
2.3.2 篩選及排序．．．．．．．．．．．．．．．．．．．27
2.4 結論．．．．．．．．．．．．．．．．．．．．．．． 29
第三章 案例研究．．．．．．．．．．．．．．．．．．．．．． 31
3.1 IEEE 57-bus測試系統．．．．．．．．．．．．．．．．31
3.2 IEEE 118-bus測試系統．．．．．．．．．．．．．．． 36
3.3 結論．．．．．．．．．．．．．．．．．．．．．．． 39
第四章結論．．．．．．．．．．．．．．．．．．．．．．．．．41
參考文獻．．．．．．．．．．．．．．．．．．．．．．．．．．42

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