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研究生:陳奕欣
研究生(外文):CHEN, YI-SIN
論文名稱:考慮風力發電之短期機組排程調度平台
論文名稱(外文):Unit Commitment Dispatch Platform Considering Wind Generation
指導教授:張文恭
指導教授(外文):CHANG, WEN-KUNG
口試委員:張忠良朱文成劉志文林惠民楊宏澤張文恭
口試委員(外文):CHANG, CHUNG-LIANGCHU, WEN-CHENLIU, CHIH-WENLIN, WHEI-MINYANG, HONG-TZERCHANG, WEN-KUNG
口試日期:2020-07-23
學位類別:碩士
校院名稱:國立中正大學
系所名稱:電機工程研究所
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:2020
畢業學年度:108
語文別:中文
論文頁數:84
中文關鍵詞:機組排程資訊系統發電成本最佳化再生能源
外文關鍵詞:Unit commitmentInformation systemGeneration costOptimizationRenewable Energy
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我國近年將面臨電業自由化與大量再生能源併網的情形下,必須事先規劃好與之相關的規則。考慮到我國能源政策之需求,焦點將注重在大量再生能源併入電力系統下的機組排程調度。本論文為考慮風力發電之機組調度平台,將考慮未來風力能源併網之情形,以及我國未來電力系統之現實狀況(例如各地發電廠的發電成本、電力系統之負載特性、發電機組的發電曲線與特徵參數及再生能源併入量),來完成符合我國未來狀況之考慮再生能源電力調度平台。
此平台之系統,後端語言為Python,網路應用框架為Django,資料庫使用MySQL來儲存資料,並使用解法器Cplex進行最佳化分析。通過人性化的操作介面,以及可連網的方便性,讓使用者能隨時隨地且快速獲得最佳發電成本策略。結果並與Digsilent之Unit Commitment功能做比較,驗證本論文所開發之調度平台的優越性。

In recent years, Taiwan has faced with the liberalization of the electricity industry and the integration of a large amount of renewable energy sources. It is necessary to plan the relevant rules in advance. Taking into account the needs of energy policy, the focus will be on generating units that incorporate a large amount of renewable energy into the power system. This paper considers the wind power generation unit dispatching platform. It will consider the future wind energy grid connection situation and the actual situation of Taiwan’s future power system (such as the power generation cost of various power plants, the load characteristics of the power system, the power generation curve and Characteristic parameters, renewable energy integration), to complete the consideration of renewable energy power dispatching platform in line with Taiwan’s future conditions.
This system is implemented by Python programming language. The web application framework is based on Django. The unit commitment problem is solved by Cplex Optimization Studio. Through the user-friendly operation interface and the convenience of connecting to the network, users can quickly obtain the optimal power generation cost strategy anytime and anywhere.

摘要 i
ABSTRACT ii
目錄 iii
圖目錄 v
表目錄 viii
第1章 緒論 1
1.1 研究動機與目的 1
1.2 本論文貢獻 2
1.3 文獻探討 2
1.3.1 機組排程方法 2
1.3.2 複循環機組 3
1.4 各章節概要 3
第2章 短期機組排程與發電成本理論模型 5
2.1 目標函數 6
2.1.1 傳統汽力機組發電成本目標函數 6
2.1.2 複循環機組發電成本目標函數 8
2.2 限制式 9
2.2.1 系統限制式 9
2.2.2 發電機組運轉限制式 10
第3章 電力調度平台介紹 19
3.1 平台架構 19
3.2 使用工具介紹 21
3.2.1 前端語言 22
3.2.2 後端語言 22
3.2.3 建模語言 23
3.2.4 解法器 23
3.3 使用者介面規劃 24
3.3.1 使用者登入介面 24
3.3.2 資料初始化介面 25
3.3.3 執行設定介面 26
3.3.4 執行訊息介面 34
3.3.5 模擬結果介面 37
3.3.6 歷史訊息介面 41
3.3.7 使用者註冊/登出介面 43
第4章 DIGSILENT-機組排程功能 45
4.1 DIGSILENT介紹 45
4.2 機組參數與限制條件 45
4.3 機組排程設定與限制式選擇 48
第5章 案例模擬分析與比較 51
5.1 限制式功能驗證 51
5.2 模擬結果比較 58
5.2.1 限制複循環機組Type 58
5.2.2 不限制複循環機組Type 60
5.3 有無風機之機組排程 63
第6章 結論與未來工作 66
6.1 結論 66
6.2 未來工作 67
參考文獻 68

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