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研究生:吳文堂
研究生(外文):Wu,wen-tang
論文名稱:配電系統之最佳饋線選擇及電容器配置規劃
論文名稱(外文):Optimal Feeder Selection and Capacitor Placement for Distribution Systems Planning
指導教授:蘇慶宗蘇慶宗引用關係
指導教授(外文):Su,Ching-Tzong
學位類別:碩士
校院名稱:國立中正大學
系所名稱:電機工程研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2002
畢業學年度:90
語文別:中文
論文頁數:100
中文關鍵詞:電力配電系統最佳化
外文關鍵詞:OptimalDistribution Systems
相關次數:
  • 被引用被引用:1
  • 點閱點閱:286
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  電力配電系統規劃的主要目的,是滿足系統在規劃期間之負載成長和負載需求,且建立一個最小成本(含初始投資成本及損失成本)的配電系統最佳規劃,同時符合設備容量、電壓降及系統電力供需平衡的限制條件。本研究在求解一放射狀配電系統之饋線型式及電容器大小與地點配置。此為一複雜的組合最佳化問題。本文將提出一新方法--複合式差分進化退火法(Hybrid Differential Evolution Simulated Annealing Method),該方法結合模擬退火法和差分進化法。適合應用在高維度空間最佳化的問題解之搜尋。
使用模擬退火法的統計接受函數,主要是用在限制可行解的不利移動,經證實它解決了差分進化法中最佳化兩個重要的問題:其一是使人口數能夠維持在很小,其二是有助於後續的登山程序搜尋。本文方法已應用於一17個匯流排及另一33個匯流排的配電系統,計算結果顯示該方法是一有效的方法。
The goal of power distribution system planning is to satisfy the load growth and system load demand during the planning period. An optimal planning for a distribution system must have a minimum cost (initial investment cost and energy loss cost) meeting the constraints of facility capacities, voltage drops, and power balance. In this thesis, the optimal feeder type and capacitor size and location for a radial distribution system are to be determined which is a complex combinatorial optimization problem. A Hybrid Differential Evolution Simulated Annealing (HDESA) method, which combines Simulated Annealing and Differential Evolution, is proposed. This method is suitable for solution search for the optimization problem with high dimensional space. The employed SA stochastic acceptance function internally limits adverse moves of solutions. This is shown to solve two key problems in DE optimization: population can be kept small, and hill — climbing in the later phase of the search is facilitated. The proposed method has been applied to two application systems (17-bus and 33-bus systems) for a target year. The computational results demonstrate that HDESA is an effective method.
目 錄
第一章 緒論 1
1-1 研究背景及動機 1
1-2 文獻探討 2
1-3 研究內容概述 4
第二章 饋線與電容器配置之成本計算及分析 6
2-1 前言 6
2-2 饋線電力損失計算 6
2-3 年損失成本 10
2-3-1 年能量成本 10
2-3-2 年需求成本 11
2-4 初始投資成本 12
第三章 問題描述及數學模型 13
3-1 簡介 13
3-2 考慮負載變動性的饋線與電容器配置規劃 13
3-2-1 目的、問題描述、假設及限制條件 13
3-2-2 考慮負載變動性的饋線及電容器配
置方法 15
3-2-3 數學模式 16
第四章 最佳化問題解法─複合式差分進化退火法 19
4-1 模擬退火法 19
4-2 差分進化法 23
4-3 複合式差分進化退火法 25
4-4 求值及選擇 34
第五章 實例應用 36
5-1 系統一的描述 36
5-1-1 差分進化法應用於實例 39
5-1-2 模擬退火法應用於實例 47
5-1-3 複合式差分進化退火法應用於實例 56
5-1-4 差分進化法、模擬退火法、複合式
差分進化退火法應用於實例的比較 68
5-2 系統二的描述 78
5-2-1 差分進化法的規劃結果 81
5-2-2 模擬退火法的規劃結果 86
5-2-3 複合式差分進化退火法的規劃結果 90
5-2-4 差分進化法、模擬退火法、複合式
差分進化退火法規劃結果的比較 94
第六章 結論與展望 95
6-1 結論 95
6-2 未來的研究方向建議 98
參考文獻 100
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