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研究生: 陳俊達
Chun-Tamr Chen
論文名稱: 多重代理人系統於微電網故障保護之應用
Apply Multi-Agent Systems to Fault Protection in Microgrids
指導教授: 辜志承
Jyh-Cherng Gu
口試委員: 陳在相
Tsai-Hsiang Chen
楊明達
Ming-Ta Yang
何子儀
Tze-Yee Ho
學位類別: 碩士
Master
系所名稱: 電資學院 - 電機工程系
Department of Electrical Engineering
論文出版年: 2015
畢業學年度: 103
語文別: 中文
論文頁數: 131
中文關鍵詞: 微電網分散式電源在線阻抗量測多重代理人系統
外文關鍵詞: Microgrid, Distributed Resources, Online Impedance Measurement, Multi-Agent Systems
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  • 傳統電力系統之資料擷取與監控是採主從式架構與集中式管理方式,對於訊息的傳遞與事故的處理時間,響應較慢。發展中的微電網,將架設在配電系統中,並可能具備多種型式之分散型電源,因其容量與特性差異極大,在控制與運轉上,採主從式架構與集中式管理方式已難滿足需求。為解決此問題,本論文採用多重代理人系統(Multi-Agent Systems, MAS),包括斷路器代理人與計算代理人,可將一個複雜的目標分成多個簡單的目標去完成,代理人間可相互傳遞訊息,並且做出應對動作分散處理。
    首先,本論文參考各國微電網與分散式電源之標準,分別應用MATLAB/Simulink與JADE(Java Agent Development Framework)建立微電網系統與符合FIPA(Foundation for Intelligent Physical Agents)規範的多重代理人系統,使微電網各斷路器代理人間能點對點(peer to peer)傳遞訊息。再以核研所之微電網範例系統為研究案例,探討於正常運行及短路故障情境下,開發線上阻抗量測技術,應用母線阻抗矩陣演算法,由計算代理人計算各斷路器代理人故障電流判斷值,由斷路器執行跳脫動作。研究結果顯示,在不同情境下,多重代理人系統都能正確規劃微電網之保護資訊,並執行相對應之控制,使微電網即時受到完整之保護。


    Traditionally, the supervisory control and data acquisition of typical power systems is using master/slave architecture with centralized management approach. The data transfer and even processing speed is correspondingly slow. Nowadays, the microgrid in distribution systems may connect several types of distributed resources(DR) with different capacity and characteristics. The master/slave architecture with centralized management approach can not satisfy the requirements in control and operation ability. To solve this problem the Multi-Agent Systems(MAS), including CB Agent and Calculation Agent, is introduced. It may simplify a complicated object to several easy objects. Furthermore, the data related to each object can freely transfer between Agents and function independently.
    First, the international standards about microgrid and DR have been well referred. Both MATLAB/Simulink and Java Agent Development Framework (JADE) are applied to setup microgrid simulation systems and Multi-Agent Systems which comply with Foundation for Intelligent Physical Agents (FIPA). The peer to peer data transfer between CB Agents has been verified. To discover the cases in normal operation and faulted condition an example system from the microgrid at Institute of Nuclear Energy Research(INER) is introduced. The online impedance measurement technology is also applied to build up the bus impedance matrix of systems for Calculation Agent. Then, each CB Agent can get the pickup or tripping setting from Calculation Agent to perform protection work. The result showed that MAS not only can properly program the protection setting in different scenarios, but also perform the correct control action accordingly for microgrid.

    中文摘要 I Abstract II 致謝 III 目錄 IV 圖目錄 VIII 表目錄 XIV 第一章 緒論 1 1.1 研究背景與動機 1 1.2 文獻探討 3 1.3 研究方法 3 1.4 論文架構 4 第二章 微電網系統簡介 5 2.1 簡介 5 2.2 傳統電網與微電網架構 5 2.2.1 傳統電網架構 5 2.2.2 微電網架構 6 2.3 微電網發展現況 7 2.3.1 美國 7 2.3.2 歐洲 9 2.3.3 日本 10 2.4 微電網相關規範 12 2.4.1 美國標準 12 2.4.2 中國標準 14 2.4.3 台灣標準 19 2.5 分散式電源簡介 20 2.5.1 太陽能 20 2.5.2 風力發電 21 2.5.3 電池儲能站 23 2.5.4 微渦輪機 24 2.6 國內微電網發展現況 25 2.6.1 台灣電力公司 25 2.6.2 核能研究所 27 2.7 本章小節 29 第三章、多重代理人系統模型之建立 30 3.1 簡介 30 3.2 軟體開發工具 30 3.2.1 MATLAB/Simulink 30 3.2.2 多重代理人系統 32 3.3 多重代理人管理系統 39 3.3.1 微電網系統架構 39 3.3.2 通訊系統架構 40 3.4 動作流程 41 3.4.1 電路部分 41 3.4.2 多重代理人部分 41 3.5 微電網運行時的各種狀態分析 43 3.5.1 系統正常運作的狀態 43 3.5.2 系統發生故障的狀態 44 3.6 本章小結 45 第四章、故障電流判斷之設定值 46 4.1 簡介 46 4.2 線上阻抗量測 46 4.3 拓撲偵測 47 4.4 求Z-Bus矩陣方法 55 4.4.1 轉換成Y-Bus方法 55 4.4.2 轉換成Graph方法 58 4.5 求故障電流值 68 4.6 本章小結 72 第五章、微電網之保護 73 5.1 簡介 73 5.2 微電網系統架構 73 5.3 通訊系統架構 75 5.4 案例說明 76 5.5 模擬結果與分析 78 5.5.1 Case 1 78 5.5.2 Case 2 80 5.5.3 Case 3 83 5.5.4 Case 4 87 5.5.5 Case 5 90 5.5.6 Case 6 94 5.5.7 Case 7 99 5.5.8 Case 8 102 5.5.9 Case 9 105 5.5.10 Case 10 108 5.5.11 Case 11 113 5.5.12 Case 12 116 5.5.13 Case 13 120 5.6 本章小結 123 第六章、結論與未來研究方向 124 6.1 結論 124 6.2 未來研究方向 125 參考文獻 126

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