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題 名 | An Artificial Neural Network for Short-Term Hydro Scheduling in Power Systems=使用類神經網路於電力系統之短期水力發電調度 |
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作 者 | 梁瑞勳; | 書刊名 | 國立雲林技術學院學報 |
卷 期 | 6:1 1997.01[民86.01] |
頁 次 | 頁83-91 |
分類號 | 448.15 |
關鍵詞 | 電力系統運轉; 水力發電調度; 類神經網路; Power system operation; Hydro scheduling; Artificial neural network; |
語 文 | 英文(English) |
中文摘要 | 在本論文中,提出以類神經網路方法作短期水力發電調度,在電力系統中,水力 發電調度的主要目的是如何利用有限的水資源條件下,使得總火力發電成本為最低,也就是 說,在未來的N小時中去決定系統中水力機組的最佳發電量。所提出的方法基本上分成兩個 步驟。首先,以類神經網路方法對水力機組作初始發電調度,由於在初始調度結果中,某些 結果會違反限制條件,所以在第二個步驟中,以啟引式法來得到滿足所有限制條件的可行次 佳解。所提出的方法,應用於臺電系統的水力發電調度問題上,結果顯示此法非常有效地適 用於求出水力發電調度結果。 |
英文摘要 | A new approach based on neural network is proposed for the shortterm hydro scheduling in power systems. The purpose of hydroelectric generation scheduling is to determine the optimal amounts of generated powers for the hydro units in the system for the next N (N=24 in this paper) hours in the future. The proposed approach is basically a two-stage solution method. In the first stage, quadratic programming based neural network is developed in order to reach a preliminary schedule for the hydro units. Since some practical constraints may be violated in the preliminary schedule, a heuristic rule based search algorithm is developed in the second stage to reach a feasible suboptimal schedule which satisfies all practical constraints. The proposed approach is applied to hydroelectric generation scheduling of Taiwan power system. It is concluded from the results that the proposed approach is very effective in reaching proper hydro generation schedules. |
本系統中英文摘要資訊取自各篇刊載內容。