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  1. NTU Theses and Dissertations Repository
  2. 工學院
  3. 化學工程學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/48974
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor陳誠亮(Cheng-Liang Chen)
dc.contributor.authorHui-Chu Chenen
dc.contributor.author陳惠楚zh_TW
dc.date.accessioned2021-06-15T11:12:44Z-
dc.date.available2019-09-08
dc.date.copyright2016-09-08
dc.date.issued2016
dc.date.submitted2016-08-22
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/48974-
dc.description.abstract本論文旨在發展複合式電力供應系統的設計,有助於規劃離島地區的電力供需問題。首先,提出一包含所有潛在可能設計之複合式電力供應系統超結構,綜合考量所有可能的電力生產方式(例如:柴油發電機、再生能源發電設備與儲能設備)及逐時的操作變量。混合整數線性規劃模型是根據該結構建立而成,亦將電力傳輸、轉換、儲存時的電力損失納入模型中。模型設計的目的是透過拓展再生能源的供應而減少柴油的消耗量,其中,儲能設備的作用在於減緩再生能源不連續性與不可預測性造成的影響。已知逐時的電力需求與再生能源發電量,將數學模型輔以不同的決策目標與操作條件,決定電力供應設備的最佳組合。
排除電力生產成本因素的影響,該模型以柴油發電為主,搭配風力發電和抽水蓄能站所需之容量的組合,提出四階段最適化方法確定,包含最小化 (1) 柴油發電量,(2)風力發電機之數量,(3) 抽水蓄能站之上池容量,以及 (4) 抽水蓄能站充電與發電功率。在序列最適化演算法中,先獲得的目標函數值作為附加的約束被置入到下一個階段。此外,針對技術經濟評估再提出另一有效估計發電成本之數學模型,利用生命週期成本法評估發電所需成本,目標函數為最小化電力生產過程中的淨現值。最後將提出之模型應用在金門縣,使用2010年的逐時資料作為案例說明。
zh_TW
dc.description.abstractThis thesis presents works on the design of the hybrid power system (HPS), which benefits the improvement of electricity utilization in remote islands. Herein, a superstructure is proposed for HPS design including all possible power generation options (e.g. diesel generator, renewable energy facility and electricity storage) and hourly-basis operational variables. A mixed-integer linear program (MILP) formulation is based on the proposed superstructure. This model also considers possible power losses during conversion, transferring and storage. A goal of reducing diesel fuel consumption by adequate expansion of renewable power supply was set. Electrical energy storage employed in the HPS is necessary to efficiently buffer the intermittency and variability of renewable energy. With power rating of demand and rated power generation of renewable sources on an hourly basis, MILP model is used to determine the optimal combination of various devices by different objective functions and operating conditions.
Excluding the factor of electricity generation cost, the optimal mix of diesel-based and wind power supplies as well as the required capacity of Pumped Hydroelectric Storage (PHS) are determined using a four-step optimization approach, involving minimizing (1) the amount of diesel power generation, (2) the number of wind turbines, (3) the size of the upper water reservoir, and (4) the charge/discharge rates of the PHS. In this sequential optimization, the objective value obtained in the previous step is added as an additional constraint to the next step. In addition, another mathematical model is proposed to estimate power generation cost for techno-economical evaluation. The objective function is to minimize the net present value of power generation by life-cycle cost analysis. Finally, the proposed HPS design model is applied to a real case study of the remote Kinmen Island using hourly-basis, year-round historical data in 2010.
en
dc.description.provenanceMade available in DSpace on 2021-06-15T11:12:44Z (GMT). No. of bitstreams: 1
ntu-105-D99524016-1.pdf: 5218056 bytes, checksum: dfdc2068dc0466157845e1cb1dad11d7 (MD5)
Previous issue date: 2016
en
dc.description.tableofcontents口試委員會審定書 i
誌 謝 iii
中文摘要 v
ABSTRACT vii
目 錄 ix
圖目錄 xiii
表目錄 xv
第一章 緒論 1
1.1 前言 1
1.2 文獻回顧 2
1.3 研究動機與目的 5
1.4 組織章節 6
第二章 文獻探討 9
2.1 抽水蓄能站 9
2.1.1 抽水蓄能站運轉方式 9
2.1.2 抽水蓄能站子系統的模型建立 11
2.1.2.1 水渦輪發電機設備 11
2.1.2.2 馬達幫浦設備 12
2.1.2.3 上池 12
2.2 生命週期成本分析 13
2.2.1 生命週期成本評估方式 13
2.2.2 生命週期成本評估模型 15
第三章 複合式電力供應系統—–序列最適化多目標函數 17
3.1 模型建立之背景 17
3.2 模型建立之基本假設條件 19
3.3 模式建立之圖解說明 21
3.4 模型建立之符號命名 23
3.5 問題描述 25
3.6 模型建構 26
3.6.1 限制式 26
3.6.2 目標函數 34
3.6.2.1 階段1:最小化柴油發電機之全年發電量 34
3.6.2.2 階段2:最小化風力機的擴展數量 35
3.6.2.3 階段3:最小化抽水蓄能站之上池容積 35
3.6.2.4 階段4:最小化抽水蓄能站之充電與發電功率的總和 36
3.7 範例 37
3.7.1 方案1:風電不能直接供給需求且全年份額不超過總需求之20 % 43
3.7.2 方案2:風電不能直接供給需求且全年份額不超過總需求之40 % 45
3.7.3 方案3:限定風電直接供給需求低於Poff的20 %且份額不超過總需求之20 % 48
3.7.4 方案4:限定風電直接供給需求低於Poff的20 %且份額不超過總需求之40 % 50
3.7.5 敏感性分析 53
3.7.5.1 抽水蓄能站往返效率之影響 53
3.7.5.1 風力機安裝數量超過最小值之影響 55
3.8 結論 56
第四章 複合式電力供應系統—–最適化電力生產成本 57
4.1 模型建立之背景 57
4.2 模型建立之基本假設條件 58
4.3 模式建立之圖解說明 60
4.4 模型建立之符號命名 62
4.5 問題描述 67
4.6 模型建構 68
4.6.1 限制式 68
4.6.2 生命週期成本計算 75
4.6.2.1 再生能源 75
4.6.2.2 柴油發電機 76
4.6.2.3 電池 77
4.6.2.4 單管線抽水蓄能站 77
4.6.2.5 轉換器 79
4.6.3 目標函數 80
4.7 範例 81
4.7.1 方案1:再生能源不能直接供給需求且全年份額需高於總需求之20 % 92
4.7.2 方案2:限定再生能源直接供給需求低於Poff的20 %且全年份額需高於總需求之20 % 93
4.7.3 方案3:再生能源使用之限制條件同方案1且不容許有過剩電力產生 94
4.8 結論 95
第五章 結論與未來展望 97
5.1 結論 97
5.2 未來展望 98
參考文獻 99
作者簡歷 105
dc.language.isozh-TW
dc.subject抽水蓄能站zh_TW
dc.subject數學規劃法zh_TW
dc.subject混合整數線性規劃zh_TW
dc.subject複合式電力供應系統zh_TW
dc.subject再生能源zh_TW
dc.subjectMathematical optimizationen
dc.subjectPumped hydroelectric storage (PHS)en
dc.subjectRenewable energyen
dc.subjectHybrid power system (HPS)en
dc.subjectMixed-integer linear program (MILP)en
dc.title離島地區複合式電力供應系統之規劃與設計zh_TW
dc.titlePlanning and Design of Hybrid Power System on Remote Islandsen
dc.typeThesis
dc.date.schoolyear104-2
dc.description.degree博士
dc.contributor.oralexamcommittee錢義隆(I-Lung Chien),吳哲夫(Jeffrey D. Ward),王子奇(Tzu-Chi Wang),李豪業(Hao-Yeh Lee),李瑞元(Jui-Yuan Lee)
dc.subject.keyword數學規劃法,混合整數線性規劃,複合式電力供應系統,再生能源,抽水蓄能站,zh_TW
dc.subject.keywordMathematical optimization,Mixed-integer linear program (MILP),Hybrid power system (HPS),Renewable energy,Pumped hydroelectric storage (PHS),en
dc.relation.page105
dc.identifier.doi10.6342/NTU201603526
dc.rights.note有償授權
dc.date.accepted2016-08-22
dc.contributor.author-college工學院zh_TW
dc.contributor.author-dept化學工程學研究所zh_TW
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