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研究生: 張庭瑞
Ting-Jui Chang
論文名稱: 考量等效運轉時數於複循環機組發電排程之研究
A Study of CCGT Unit Commitment Based on Equivalent Operation Hour
指導教授: 郭政謙
Cheng-Chien Kuo
口試委員: 張宏展
陳鴻誠
劉運鴻
李清雲
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: 123
中文關鍵詞: 複循環機組氣渦輪機等效運轉時數機組排程混合整數線性規劃
外文關鍵詞: Combined Cycle Gas Turbine, Equivalent Operation Hour
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  • 機組排程為決定機組發電狀態與發電機啟停優先順位的系統運轉重要問題,其主要針對預定發電期間中的每一個時間間隔之中載及尖載機組,特別是火力機組進行排程。機組排程之主要目的為在滿足系統負載需求、備轉容量需求、機組維護作業需求與其他機組限制之條件下,最適化總發電成本或環境排放,其結果優劣,對於電業之經營績效將有很大的影響。
    本研究提出兩階段之最佳化機組排程模型,一為每部氣渦輪機(Gas Turbine, GT)之最適等效運轉時數(Equivalent Operation Hour, EOH)模型,二為複循環機組之最小發電成本模型,搭配混合整數線性數學規劃(Mixed Integer Linear Programming, MILP),以決定複循環各GT 機組在大修結束到下次大修期間,如何有效運用其EOH,使其能在滿足負載需求與各項機組運轉條件,以最經濟之成本維持供電可靠。


    Unit commitment (UC) is a critical problem of system’s operation todetermine the statuses of units and priority order of each enerator. It is especially for thermal units to be scheduled during each time interval of the scheduled periods. The purpose of unit commitment is to minimize the total generation cost or carbon emissions while satisfying the loads of whole system, the demand of spinning reserve, maintenance works of units and other constraints. Finally the pros and cons of the result will have a great impact on the management performance of an electric utility.
    Consequently, this research proposes a two-stage optimization model of unit commitment with MILP (Mixed Integer Linear Programming, MILP). One is daily EOH-assigned model of each GT (Gas Turbine, GT), the other is power generation cost model of CCGT (Combined Cycle Gas Turbine, CCGT). The purpose is to efficiently and reasonably use EOH of each GT before the next overhaul and inspection of each generator and make CCGT maintain the power supply reliability under the most economical cost while it meets load demand and satisfies all constraints.

    中文摘要 I Abstract II 誌謝 III 目錄 IV 圖目錄 VII 表目錄 XI 第一章 緒論 1 1.1 研究動機 1 1.2 文獻回顧 2 1.3 研究方法 5 1.4 章節概要 6 第二章 混合整數線性規劃理論 8 2.1 線性規劃 8 2.2 MILP於機組排程之運用 8 2.3 線性規劃求解方法 10 2.3.1 簡算法與內點法 10 2.3.2 分支定界法 12 2.3.3 切面法 15 2.3.4 分支切面法 17 2.4 小結 19 第三章 複循環機組排程模型之建立與分析 20 3.1 複循環機組介紹 20 3.2 數學規劃及求解流程 25 3.3 EOH最佳化模型 26 3.3.1 目標函數 26 3.3.2 限制式 29 3.4 發電成本最佳化模型 29 3.4.1 熱率曲線之線性化分析 30 3.4.2 目標函數及正規化策略 32 3.4.3 限制式 34 3.5 小結 46 第四章 情境模擬及結果分析 47 4.1 模擬平台 47 4.2 輸入參數之設計 49 4.2.1 複循環機組 49 4.2.2 氣渦輪機 50 4.2.3 汽輪機 53 4.2.4 負載 55 4.2.5 AGC能力 56 4.3 輸出結果 57 4.4 案例模擬與結果驗證 72 4.4.1 最適EOH之案例分析與驗證 73 4.4.2 最適發電成本之案例分析與驗證 92 4.5 小結 101 第五章 結論與未來展望 102 5.1 結論 102 5.2 未來展望 103 參考文獻 104

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