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研究生:張志堯
研究生(外文):Chih-YaoChang
論文名稱:應用增強型狼群訓練競爭演算法於配電系統儲能裝置排程規劃之研究
論文名稱(外文):Application of Enhanced Competitive Wolf Training Optimization to Energy-Storage Device Scheduling in a Distribution System
指導教授:黃世杰黃世杰引用關係
指導教授(外文):Shyh-Jier Huang
學位類別:碩士
校院名稱:國立成功大學
系所名稱:電機工程學系
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:2016
畢業學年度:104
語文別:中文
論文頁數:68
中文關鍵詞:狼群訓練競爭演算法儲能裝置排程規劃電力品質
外文關鍵詞:enhanced competitive wolf training optimizationenergy storage device schedulingelectric power quality
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本論文致力於應用增強型狼群訓練競爭演算法於配電系統儲能裝置排程規劃,此乃由於儲能裝置可視為彈性電力潮流設備,容易進行電力功率調控,但各時段之運作必須配合負載需求量,因此如何有效調配儲能裝置以獲得高效能的配電系統供電品質改善,已成為值得研究之課題。故本文提出狼群訓練競爭演算法,並融入環境變遷機制,提升演算法求解效能,同時將其整合至求解儲能裝置排程規劃,而為驗證所提方法之可行性,分別利用不同區域之低壓系統進行模擬測試,並與其他方法比較,茲由測試結果比較可知,本文所提方法確已展現高度計算效能,並有助於儲能裝置排程規劃,兼可作為電力系統運轉最佳化之施行參考。
This thesis endeavors to apply the enhanced competitive wolf training optimization to schedule energy storage device. Energy storage device can be regarded as a flexible electrical equipment that can easily control real power. The operation of storage device at each period should conform to the load demand. An appropriate utilization of device becomes critical to obtain high-performance power quality improvements, hence motivating the competitive wolf training optimization proposed in this thesis. Moreover, the mechanism of vicissitude is assimilated into this proposed algorithm in order to enhance searching ability. To assess the feasibility of proposed method, low-voltage distribution systems have been tested. Other algorithms were evaluated to compare with the proposed method. From test results, the proposed method has exhibited its high performance, thereby contributing to schedule energy storage devices and serving as references to optimal operation of power systems.
誌謝 VI
目錄 VII
圖目錄 X
表目錄 XII
第一章 緒論 1
1-1 研究背景與動機 1
1-2 研究方法及步驟 2
1-3 各章內容大綱簡述 3
第二章 問題描述 5
2-1 前言 5
2-2 能源儲存技術 5
2-2-1 各類型能源儲存方法 5
2-2-2 儲能系統之電網應用分析 8
2-3 低壓配電系統 9
2-3-1 供電品質問題探討 10
2-4 儲能裝置排程規劃 10
2-4-1 儲能裝置之充放電模型 11
2-4-2 儲能裝置之充放電限制式 12
2-4-3 目標函數建立 13
2-4-4 低壓配電系統運轉限制式 14
2-5 本章結論 14
第三章 增強型狼群訓練競爭演算法介紹 16
3-1 前言 16
3-2 狼群訓練競爭演算法之生物行為探討與數學模型建立 16
3-3 狼群訓練競爭演算法之應用流程分析 21
3-3-1 應用狼群訓練競爭演算法於求解最佳化問題之演算流程---- 22
3-3-2 應用狼群訓練競爭演算法於儲能裝置排程規劃之演算流程 23
3-4 增強型狼群訓練競爭演算法之模型建立 29
3-4-1 環境變遷機制 30
3-4-2 增強型狼群訓練競爭演算法之計算流程 31
3-5 本章結論 34
第四章 研究結果討論 35
4-1 前言 35
4-2 工業區低壓配電系統介紹 35
4-3 工業區低壓配電系統之測試結果探討 40
4-3-1 工業區系統之演算法求解效能比較 42
4-3-2 所提方法求得工業區系統規劃結果分析 44
4-4 住宅區低壓配電系統介紹 48
4-5 住宅區低壓配電系統之測試 53
4-5-1 住宅區系統之演算法求解效能比較 54
4-5-2 住宅區系統規劃結果分析 55
4-6 本章結論 58
第五章 結論與未來研究方向 60
5-1 結論 60
5-2 未來研究方向 61
參考文獻 62
附錄 68


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