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題 名 | 遺傳演算法於合成電力系統可靠度規劃之應用 |
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作 者 | 李國榮; 黃國立; | 書刊名 | 能源季刊 |
卷 期 | 33:1 2003.01[民92.01] |
頁 次 | 頁38-53 |
分類號 | 448.115 |
關鍵詞 | 遺傳演算法; 可靠度; 合成電力系統; 總成本; Genetic algorithm; Reliability; Composite electric power system; Total cost; |
語 文 | 中文(Chinese) |
中文摘要 | 本文主要應用形成圖脈(Graph formation)、蒙地卡羅模擬(Monte Carlo Simulation)、網路流量計算(Network flow Estimation)及浮點式遺傳演算法(Floating-Point Genetic algorithm,簡稱FPGA)等技術,對一合成電力系做最佳可靠度之設計。採用浮點式遺傳演算法而不同二進制表示之遺傳演算法,乃係前者不但較有效率,且具更多強有力的運算子,以及較高的收斂至最佳整體解之機率。另外採用未獲供電之需量(Deman Not Served,簡稱DNS)及強迫故障率(Forced Outage Rate,簡稱FOR)為可靠度指標,並籍由不可靠犡的等效成本轉換,俾作為目標函數即總成本之一部分。最後,吾人將可獲得某一23條匯流排測試系統之最佳可靠度指標。 |
英文摘要 | This paper presents an optimal reliability design approach employing graph formation, Monte Carlo simulation, network flow estimation, and floating-point genetic algorithm (FPGA) for a composite electric power system. Because the floating-point representation is more efficient than the binary representation in genetic algorithm (GA) application, and the former also has more robust operators to obtain optimal solutions in most cases, we will adopt the FPGA. The reliability indices adopted include expected demand not served (EDNS) and forced outage rate (FOR). The concept of equivalent cost of unreliability is applied in the planning model, such that the equivalent cost may be partial of objective function (i.e. total cost). Application of the proposed method is illustrated using a 23-bus test system and finally the optimal reliability indices will be obtained. |
本系統中英文摘要資訊取自各篇刊載內容。