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題 名 | 應用霍普菲爾神經網路解考慮污染量之經濟調度問題=Application of the Hopfield Neural Network to Economic Dispatch Considering Emission |
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作 者 | 蘇慶宗; 陳余建; 邱國珍; | 書刊名 | 技術學刊 |
卷 期 | 14:2 1999.06[民88.06] |
頁 次 | 頁289-295 |
分類號 | 448.115 |
關鍵詞 | 污染量; 經濟調度; 霍普菲爾神經網路; 能量函數; Emission; Economic dispatch; Hopfield neural network; Energy function; |
語 文 | 中文(Chinese) |
中文摘要 | 本文應用霍普菲爾神經網路, 來解考慮發電污染之全火力機組電力系統的經濟 調度問題。 在傳統的霍普菲爾模式中,是用 S 型函數來描述神經元輸入 -- 輸出的關係。 然而,由於 s 型函數的使用, 將不可避免的須使用數值疊代法來求解,也因而會有大量冗 長的計算。為了避免這個問題,本文採用線性模式來描述神經元輸入 -- 輸出的關係。在這 個線性模式下,吾人可推導出一解析法來求解,以取代冗長之計算。最後,本文以兩個範例 來說明此方法的應用。 |
英文摘要 | This paper presents an application of the Hopfield neural network to economic dispatch problems of all-thermal power systems considering emission. In the conventional Hopfield model, the input-output relationship of a neuron was described by a sigmoidal function. However, due to the use of the sigmoidal function, the solution method applying numerical iteration is inevitably adopted. Numerical iteration often suffers from a large amount of computations. To avoid this problem, a linear model describing the inputoutput relationship of a neuron is adopted. One significant advantage of applying the linear model is that the computational burden is greatly reduced in the solution process. Finally, to demonstrate the application of the proposed method, two sample systems are exemplified. |
本系統中英文摘要資訊取自各篇刊載內容。