臺灣博碩士論文加值系統

鑑於用戶對於供電品質之要求與日俱增，故當電力系統發生故障時，如何迅速找出故障區域，俾於進行維修復電，確已成為重要課題。基於此，本文即提出細菌趨化尋優演算法來求解電力系統故障診斷的問題，此方法乃模擬大腸桿菌於人體腸道內進行趨化作用(Chemotaxis)以獲取養分之行為，因此可應用於尋優最佳化問題之求解。其中本文經由實際系統進行測試，以驗證細菌趨化尋優算法於配電系統故障診斷之效能，並將其與其它方法測試比較，而由結果顯示，此細菌趨化尋優演算法確具較佳運算效能，且能以較少之疊代次數判定故障區段，應有助於工程人員即時預警及施行相關維修之需。

The problem of fault section estimation is very important in power systems because effective fault section estimation will help facilitate the power restoration. Therefore, in this thesis, a Bacterial Foraging Algorithm (BFA) is proposed to solve the fault section estimation problem. The theme of this method is to simulate Escherichia coli such that the nutrients in the intestine can be better searched, with such a concept it is further employed to solve the fault section estimation problems. In order to validate the effectiveness of this approach, the method has been tested through different test scenarios with comparison to other methods. From the test results, they revealed the satisfactory computation performance of justifying the section of faults in a distribution system, thereby providing a useful reference as maintenance forewarning as well.

中文摘要 I
英文摘要 II
致　謝 III
目錄 IV
表目錄 VI
圖目錄 VII
第一章 緒論 1
1.1 研究背景及動機 1
1.2 研究方法 2
1.3 論文架構 3
第二章 電力系統故障區段診測問題探討 4
2.1 前言 4
2.2 國內電力系統架構 4
2.3 電力系統自動化 5
2.3.1電力系統自動化概述 5
2.3.2電力系統自動化階層式架構 6
2.3.3電力系統自動化之故障偵測隔離復電功能 9
2.4 電力系統故障區段診測問題描述 13
2.5 本章結論 17
第三章 細菌趨化尋優演算法介紹 18
3.1 前言 18
3.2 趨化作用簡介 18
3.3 細菌趨化尋優演算法模型之建立 22
3.4 演算法計算流程 26
3.5 本章結論 30
第四章 模擬結果 31
4.1 前言 31
4.2 參數設定探討 31
4.2.1簡化系統模型描述 31
4.2.2族群總數(S) 32
4.2.3移動單位長度(C) 35
4.2.4最大前進距離(NS) 38
4.2.5總趨化步驟次數(NC) 41
4.3 實例模擬 44
4.3.1系統描述 44
4.3.2模擬結果 45
4.3.2.1群聚效應之探討 46
4.3.2.2趨化性運動之探討 48
4.4與進化規劃法之測試結果比較 50
4.5本章結論 57
第五章 結論及未來研究方向 58
5.1 結論 58
5.2 未來研究方向 59
參考文獻 60
作者簡介 64

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