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研究生:陳玥樺
研究生(外文):Yueh-Hua Chen
論文名稱:台電公司的區營運處降低用戶停電時間之目標訂定方法
論文名稱(外文):Methods for Setting SAIDI Target for Regional Transmission Offices of Taipower
指導教授:陳士麟陳士麟引用關係
指導教授(外文):Shi-Lin Chen
學位類別:碩士
校院名稱:國立清華大學
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:2004
畢業學年度:92
語文別:中文
論文頁數:85
中文關鍵詞:輸電用戶停電時間供電區營運處解析式階層程序台電
外文關鍵詞:TransmissionSAIDIRegional Transmission OfficeAHPTaipower
相關次數:
  • 被引用被引用:4
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台電公司近年來積極推動各項方案,以提高用戶的供電可靠度,並以用戶全年平均恢復供電時間及用戶全年平均恢復供電次數(SAIFI)列為公司的重要營運目標。台電自91年度起,設定公司的SAIDI和SAIFI全年目標值,再將此目標分配至公司內的各個區處。此目標之設定(包括如何將公司的營運目標分配至各個區處),僅憑藉著公司管理階層的經驗,而無邏輯方法,導致區處之間目標值的分配不盡公平。若目標設定過於嚴苛,由於目前缺少高、低壓用戶停電之自動監測設施,台電公司的區處承辦單位可能會對於用戶停電記錄造假,此造假行為對於公司的基層士氣影響甚鉅。
有鑑於此,本論文旨在設計一套方法,將公司的營運目標合理分配至公司內的個別部門,作為各部門的營運目標。而以台電公司的用戶停電時間為例,探討應考量那些主要因素以及如何將這些主要因素納入至分配流程或計算公式內。
本論文係針對台電公司的「輸電事故停電時間」進行研究,採用解析式階層程序法將用戶停電時間的多項影響因素,以階層式架構呈現,經由篩選評估準則(或用戶停電時間的影響因素),建構階層式架構,據以說明眾多影響因素之間的相互關係,並對所探討的問題予以模組化。再對於位在最底層的評估準則,選擇量化指標,以衡量評估準則於不同區處之背景差異;並以問卷方式取得專家意見,計算評估準則的相對權重;由最底層向上層反覆推演,直至計算出評估目標值,並用於分配公司降低用戶停電時間的總目標至各個區處。最後,以此分配比重值,與92年度台電6個區營運處(區處)的用戶事故停電時間之實績值相比較,探討二者之間的異同。在演算過程中,另對於不同背景之專家,經由問卷填答所得出的權重差異進行比較分析,深入探討本法在未來應用上之特性。
In recent years, Taiwan Power (Taipower) company has endeavored to implement various programs, in order to reduce customers’ power interruption duration and frequency, as part of the corporate operational goals. Since 2002, Taipower has set the corporate operational target for the yearly SAIDI (System Average Interruption Duration Index) and SAIFI (System Average Interruption Frequency Index), and then has distributed the corporate target to the regional transmission offices to serve as the regional management target.
The Methods for setting the targets, including how to distribute the corporate target to the regional offices, relied purely on the engineering and managerial experiences. No logical or any rational method has been adopted, which thus has led to the distribution of corporate target sometimes on an unfair basis. Due to the lack of automatic monitoring on power interruption, an over-expected, or sometimes unviable, target may adversely force the regional offices forge the field data, which can cause a significant depression on field engineers’ morale.
To resolve this difficulty, this thesis presents a method which can logically distribute the corporate target to the regional offices, serving as the regional managerial target. In the thesis, the SAIDI target has been adopted as an example to illustrate the methods, which include selecting a variety of influential factors on SAIDI and accounting these factors according to their relative impact on SAIDI in the design of corporate target distribution process or distribution formula.
The thesis focuses on the target setting for Taipower’s SAIDI due to the transmission system faults. The analytic hierarchy process (AHP) has been adopted, by which all the relation among influential factors on SAIDI can be presented into the hierarchical structure. The process begins with the model formulation by selection of influential factors on SAIDI and the formulation of factors into the modulized hierarchical model. At the second stage, the process then finds out 2 groups of parameters. One group refer to the evaluation indices which measure the regional status influential factors designed at the lowest layer of the hierarchical model, so to identify the disparity among Taipower’s 6 regional transmission offices.
The second group of parameters refer to the relative weights among the influential factors, which are derived from the linguistic comparison results obtained by the questionnaire survey conducted on Taipower’s maintenance and operation engineers of the 6 regional transmission offices. At the third stage of AHP, by combining these 2 groups of parameters, the process evaluates the evaluation index values to each influential factor from the lowest layer upwards until the objective value at the top of hierarchical structures is calculated.
At the final stage, Taipower’s corporate SAIDI target is distributed to be the 6 regional targets based on the relative comparison among the above 6 objective values.
To give a further insight into the numerical evaluation results, the AHP results on Taipower’s corporate target distribution have been compared with Taipower’s SAIDI record at 2003. In addition, the disparity on the questionnaire results among Taipower’s 6 regional offices as well as between the feeder and the substation departments of regional offices are analyzed to investigate the potential characteristics of designed model in future application.
目 錄
中文摘要 I
英文摘要 II
誌謝 IV
目錄 V
圖目錄 VIII
表目錄 IX

第一章 緒論 1
1.1 研究背景 1
1.2 研究方法 1
1.2.1 研究範圍 2
1.2.2 研究流程架構 2
1.2.3 研究方法概述 4
1.3 各章重點 6

第二章 解析式階層程序之演算流程 7
2.1 整體說明 7
2.1.1 分析流程 7
2.1.2 階層式問卷 9
2.2 權重評估流程 9
2.3 成對比較所依據之尺度 11
2.4 各層級準則間權重之計算 12
2.4.1 交叉比較矩陣 12
2.4.2 基本原理 14
2.4.3 特徵向量計算 17
2.4.4 最大特徵值之計算 18
2.4.5 一致性與整合比 19
2.4.6 修正評比 20
2.4.7 受試問卷之彙整 21
2.5 範例說明 23

第三章 區處用戶停電時間影響因素之量化指標及其權重問卷之設計 30
3.1 前言 30
3.2 可靠度指標之定義 31
3.3 降低用戶停電時間的公司總目標 31
3.4 輸電部門造成用戶停電的影響因素 32
3.4.1 一次輸電系統事故停電 32
3.4.2 二次輸電系統事故停電 33
3.4.3 輸電系統工作停電 33
3.5 區處用戶停電時間影響因素之階層式架構 33
3.5.1 影響因素之間的關連性架構 34
3.5.2 用戶停電次數 34
3.5.3 用戶每次停電時間 38
3.5.4 每次停電用戶數 38
3.6 問卷設計 38
3.7 影響因素之量化指標 39
3.8 區處用戶停電時間目標值之訂定流程 40

第四章 研究結果 42
4.1 前言 42
4.2 權重模擬結果 42
4.2.1 供電部門權重之整體計算結果 43
4.2.2 輸、變電專家之差異分析 51
4.2.3 區處間的差異分析 52
4.3 量化指標值於區處間之比較 58
4.4 降低用戶停電時間目標值於區處間之比較 60

第五章 結論 63
5.1 結論 63
5.2 未來研究方向 65

參考文獻 66
附錄A 供電可靠度統計指標 69
附錄B 國內外電力公司供電可靠度現況比較 71
附錄C 輸電系統事故停電時間影響因素權重評估問卷 75
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