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研究生: 王鈞毅
Chun-Yi Wang
論文名稱: 應用類神經網路調適微電網IED保護群組設定之研究
Using Neural Network to Adapt Setting Group of IED in Microgrid
指導教授: 辜志承
Jyh-Cherng Gu
口試委員: 何子儀
Tze-Yee Ho
蕭弘清
Horng-Ching Hsiao
黃培華
Pei-Hwa Huang
辜志承
Jyh-Cherng Gu
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: 2017
畢業學年度: 105
語文別: 中文
論文頁數: 136
中文關鍵詞: 智慧型電子裝置保護管理系統類神經網路保護群組
外文關鍵詞: IED, PMS, Neural Network, Setting Group
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  • 微電網是由分散式電源、儲能設備、電力轉換器、交/直流負載、監控設備及保護裝置所組成的小型電力系統。微電網內建置之分散式電源使得電力潮流與故障電流不為固定方向,因此傳統輻射式電力系統的過電流保護方式已經無法滿足微電網之保護要求。
    本論文整合智慧型電子裝置(IED)、IEC 61850通訊標準及SCADA監控平台,建置一套微電網保護管理系統(PMS)。首先,利用IED將量測之電壓、電流及開關狀態等系統資訊,透過IEC 61850通訊協定,將資訊傳回SCADA。保護協調方面利用IED邏輯規劃並應用IEC 61850所定義之GOOSE機制,進行IED間傳遞跳脫及閉鎖訊號,協調各IED間之跳脫順序;保護管理系統經由拓樸結構分析及IED回傳之系統資訊計算IED方向性過電流保護設定值並經由類神經網路(Neural Network)進行分類辨識,選擇對應之保護群組(Setting Group),使保護管理系統具備因應微電網架構或運轉狀態改變時自我調適之功能。
    本論文應用ETAP電力系統分析軟體與Matlab/Simulink進行模擬分析,驗證保護管理系統在微電網不同運轉情境下,皆可判斷選擇IED對應之保護群組,達到微電網保護目的。


    Microgrid may comprise by distributed generators, energy storage devices, power converter, versatile loads, supervisory equipment and protection equipment. The distributed generations installed in microgrid, which may diverse the path or direction of load current or fault current. Therefore, the overcurrent protection scheme for traditional radial type distribution system no longer be useful for microgrid.
    A microgrid protection management system (PMS) which integrated Intelligent Electronic Device (IED), IEC 61850 communication protocol and supervisory control and data acquisition (SCADA) is proposed in this thesis. First of all, PMS utilizes IED to measure electrical information of microgrid such as voltage, current, and breaker status. Those system informations were sent back to PMS through IEC 61850. In order to coordinate the operating sequence of IED, tripping and blocked signals are transmitted among IED by logic programming and GOOSE message of IEC 61850. PMS calculates the pick-up setting of directional overcurrent element of IED through topology analysis and using Neural Network analysis to accommodate an appropriate setting group of IED. Therefore, the PMS has the self-adaptive capability to deal with the architecture and dynamic changes of microgrid.
    This thesis uses ETAP PowerStation software and Matlab/Simulink to perform analysis work. The simulation results show that PMS can determine an appropriate pick-up setting and select the corresponding setting group of IED under various scenarios. As a result, PMS can achieve the goal of microgrid protection.

    中文摘要 I Abstract III 致謝 V 目錄 VII 圖目錄 XI 表目錄 XIII 第一章 緒論 1 1.1 研究背景與動機 1 1.2 文獻探討 1 1.3 研究方法 3 1.4 論文架構 4 第二章 微電網發展現況 5 2.1 前言 5 2.2 微電網架構 5 2.3 國內微電網發展現況 6 2.3.1 台電綜研所微電網 6 2.3.2 核能研究所微電網 7 2.3.3 林邊光采濕地智慧微電網 10 2.3.4 烏來福山國小防災型微電網 11 2.3.5 澎湖智慧電網 12 2.4 國外微電網發展現況 15 2.4.1 美國 15 2.4.2 歐盟 19 2.4.3 日本 22 2.4.4 中國 24 2.5 微電網保護策略探討 28 2.5.1 芬蘭海倫奧托島微電網 28 2.5.1.1 微電網系統架構 28 2.5.1.2 故障電流分析 29 2.5.1.3 保護參數設定 31 2.6 本章小結 34 第三章 微電網保護管理系統 35 3.1 前言 35 3.2 微電網保護架構 35 3.2.1 智慧型電子裝置 36 3.2.2 IEC 61850通訊協定 38 3.2.3 NTP時間同步協定 44 3.2.4 SCADA監控平台 46 3.3 微電網保護管理系統設定 47 3.3.1 IED保護參數設定 49 3.3.2 IED保護邏輯規劃 50 3.3.3 GOOSE傳遞設定 53 3.4 本章小結 56 第四章 類神經網路於保護群組調適分析 57 4.1 前言 57 4.2 微電網系統架構 57 4.3 微電網系統參數 57 4.4 微電網拓樸分析 61 4.4.1 樹狀結構拓樸搜索方法 62 4.5 人工神經網路 65 4.5.1 原理 65 4.5.2 神經網路架構與模型 66 4.5.3 神經網路種類 70 4.5.3.1 倒傳遞神經網路 71 4.6 IED保護群組設定 76 4.6.1 IED保護群組設定現有限制 77 4.6.2 IED保護群組設定未來趨勢 77 4.7 應用人工神經網路調適IED保護群組設定 77 4.8 本章小結 81 第五章 微電網保護管理系統模擬與分析 83 5.1 前言 83 5.2 模擬系統架構與參數 83 5.3 模擬情境規劃 84 5.4 模擬結果與分析 89 5.4.1 情境1 89 5.4.2 情境2 92 5.4.3 情境3 96 5.4.4 情境4 99 5.5 本章小結 102 第六章 結論與未來研究方向 103 6.1 結論 103 6.2 未來研究方向 104 參考文獻 105 附錄 核研所微電網IED之GOOSE訊息規劃表 113

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