第1筆 /總和 1 筆
/ 1 筆
頁籤選單縮合
題 名 | A Novel Economic Dispatch Approach=一種新的經濟調度方法 |
---|---|
作 者 | 陳柏宏; 張宏展; | 書刊名 | 新埔學報 |
卷 期 | 14 1996.05[民85.05] |
頁 次 | 頁245-264 |
分類號 | 448.115 |
關鍵詞 | 經濟調度; 基因演算法; 網路損失; 升降載限制; 禁止操作區; λ- 疊代法; Economic dispatch; Genetic algorithm; Network losses; Ramp rate; Prohibited zone; Lambda-iteration; |
語 文 | 英文(English) |
中文摘要 | 本論文提出一種新的方法,可以用求解大型電力系統的經驗調度問題。本方法係採用一種新的全域最佳化演算法-基因演算法為其基礎,在人造染色體編碼時,本文採用系統的增量成本為編碼參數,而不以機組之輸出為編碼參數。使用這種新的編碼技術的優點,是它的位元數並不會隨著調度機組的增加而增加,這使得本方法特別適用於大型及複雜的電力系統的經濟調度問題。此外,本文在做經濟調度時並將網路損失、升降載限制、及禁止操作品列入考慮,以使得調度結果更加合理。以臺電實際系統資料所完成的測試結果顯示,本方法在大型經濟調度比傳統的λ-疊代法更快且更強健。 |
英文摘要 | This paper presents a new genetic approach for solving the economic dispatch problem in large-scale systems. A new encoding technique is developed. The chromosome contains only an encoding of the normalized system incremental cost in this encoding technique. Therefore, the total number of bits of chromosome is entirely independent of the number of units. The salient feature makes the proposed genetic approach attractive in large and complex systems which other methodologies may fail to achieve. Moreover, the approach can take network losses, ramp rate limits, and prohibited zone avoidance into account because of genetic algorithm's flexibility. Numerical results on an actual utility system of up to 40 units show that the proposed approach is faster and more robust than the well-known lambda-iteration method in large-scale systems. |
本系統中英文摘要資訊取自各篇刊載內容。