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題 名 | 改良式遺傳基因演算法在降低配電系統饋線損失的研究=Study of Refined Genetic Algorithm to Distribution Feeder Loss Reduction |
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作 者 | 鄭富升; 蔡明堂; | 書刊名 | 正修學報 |
卷 期 | 12 1999.07[民88.07] |
頁 次 | 頁151-156 |
分類號 | 448.3 |
關鍵詞 | 改良式遺傳基因演算法; 交配; 突變; 菁英選取; Refined genetic algorithm; RGA; Crossover; Mutation; |
語 文 | 中文(Chinese) |
中文摘要 | 本文提出改良式遺傳基因演算法來搜尋最佳的開關切換策略,以期達到降低饋線損失的目 的。整個開關切換策略的搜尋流程為:首先將開關閉合以形成網目結構,並將各網目電流最小的開 關當成原始父代。然後以此原始父代為基礎,進行交配、突變、及選取等步驟。最後,執行最佳的 開關策略。經實例模擬測試結果顯示,所提出方法將可以快速的以最少的開關次數降低饋線損失並 滿足所有電壓和電流限制式。 |
英文摘要 | This paper proposes a refined genetic algorithm (RGA) to minimize distribution feeder losses. The proposed algorithm starts with closing all switches to create a meshed network. Initial population of RGA are composed of the configuration by opening the branches with the lowest current derived in the optimal load flow with all switches closed. Then the process to reach the optimum after reproduction, mutation, competition, and selection procedures. In this paper, the authors focused on the minimization of the real power loss, number of switching, as well as on voltage and current constraints subject to the radial network structure. Computer simulations show that the proposed algorithm is effective enough for distribution feeder loss reduction. |
本系統中英文摘要資訊取自各篇刊載內容。