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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 李綱(Kang Li) | |
| dc.contributor.author | Cheng-Jui Chang | en |
| dc.contributor.author | 張正銳 | zh_TW |
| dc.date.accessioned | 2021-06-16T03:53:38Z | - |
| dc.date.available | 2018-01-01 | |
| dc.date.copyright | 2015-01-07 | |
| dc.date.issued | 2015 | |
| dc.date.submitted | 2015-01-06 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/55259 | - |
| dc.description.abstract | 本研究使用線性回歸法與加權移動平均法對於太陽光發電功率及交流負載用電功率大小進行預測，再將預測結果輸入預測型Fuzzy控制器，以進行HyPV系統之市電/太陽光供電切換控制。模擬結果顯示此一預測型Fuzzy控制對於HyPV系統性能之影響主要在於減少供電切換次數(約10%)，對於電池(充放電)循環次數、市電替代率及發電損失率等影響極為有限。本研究最後亦針對不同發電、儲電及耗電功率大小之HyPV子系統組合進行模擬，同樣獲致相同之結果，亦即使用發電與耗電預測資料對於現有Fuzzy控制為基礎之HyPV系統性能影響有限。 | zh_TW |
| dc.description.abstract | This research keeps using fuzzy based controller with new proposed prediction data input in the switching control of HyPV. To estimate the prediction results for predictive fuzzy controller, linear regression of forecasting photovoltaic power and weighted moving average of forecasting load power are applied. Although the simulation results show that predictive fuzzy controller reduce about 10% switching times of HyPV performance, this controller has no effect on others HyPV performance, such as battery life cycle, grid power instead rate or PV power loss rate. At last, this thesis performs many simulations in different size combination of HyPV sub-systems, all the simulations appear the same results. This thesis concludes a result which is the proposed predictive fuzzy controller has less effect on HyPV performance. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-16T03:53:38Z (GMT). No. of bitstreams: 1 ntu-104-R01522833-1.pdf: 11778100 bytes, checksum: 1203752a566eeba2915d1c3c2aac8af7 (MD5) Previous issue date: 2015 | en |
| dc.description.tableofcontents | 目錄
中文摘要 I ABSTRACT II 目錄 III 圖目錄 VI 表目錄 IX 第一章 緒論 1 1.1 研究背景 1 1.1.1 平價上網(Grid Parity) 1 1.1.2 電網穩定問題 6 1.2 文獻回顧 8 1.2.1 獨立型太陽光發電系統 9 1.2.2 市電併聯型太陽光發電系統 10 1.2.3 混合型太陽光電系統(HyPV) 12 1.3 研究目的與內容 14 第二章 系統架構與模型介紹 16 2.1 HyPV系統架構 16 2.2 太陽輻射傾角模型 19 2.2.1 太陽相對位置 19 2.3 太陽光電板發電模型 22 2.3.1 太陽光電板發電特性 22 2.3.2 溫度影響發電量 22 2.3.3 老化影響發電量 26 2.3.4 太陽光電板理論最大發電量模型 26 2.4 逆變器模型 27 2.5 能量平衡模型 28 第三章 HyPV系統供電切換控制 30 3.1 供電切換控制 30 3.2 預測型Fuzzy切換控制 37 第四章 模擬實驗與結果分析 40 4.1 HyPV系統模擬程式介紹 40 4.1.1 系統模擬程式介面 40 4.1.2 匯入資料 41 4.1.3 輸出資料 42 4.1.4 模擬程式流程 43 4.2 HyPV模擬軟體驗證 44 4.2.1 太陽能控制器 45 4.2.2 蓄電池 46 4.2.3 太陽光電板 48 4.2.4 獨立型逆變器 50 4.2.5 電腦監測系統 51 4.2.6 系統模擬條件設定 52 4.2.7 HyPV模擬軟體驗證結果與分析 53 4.3 逐分模擬實驗 62 4.3.1 實驗設計 62 4.3.2 單日模擬結果分析 64 4.3.3 長程模擬結果分析 76 4.4 預測型Fuzzy切換控制參數調校 77 4.5 系統發電餘量預測實驗 83 4.5.1 太陽光電板發電功率預測方法 83 4.5.2 交流負載用電功率預測方法 87 4.5.3 單日模擬結果分析 88 4.5.4 長程模擬結果分析 96 4.5.5 準確預測模擬結果分析 97 第五章 結論與未來展望 125 5.1 結論 125 5.2 未來展望 125 參考文獻 126 | |
| dc.language.iso | zh-TW | |
| dc.subject | 太陽光發電系統 | zh_TW |
| dc.subject | 模糊控制 | zh_TW |
| dc.subject | Photovoltaic System | en |
| dc.subject | Fuzzy Control | en |
| dc.title | 以使用發電與耗能預測資料提升混合型太陽光發電系統性能之可行性評估 | zh_TW |
| dc.title | A Feasibility Study of Improving the Performance of the Hybrid Solar PV System by Using Prediction of Power Generation and Load | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 103-1 | |
| dc.description.degree | 碩士 | |
| dc.contributor.coadvisor | 黃秉鈞(Bin-Juine Huang) | |
| dc.contributor.oralexamcommittee | 陳永耀(Yung-Yaw Chen),蕭得聖(Te-Sheng Hsiao) | |
| dc.subject.keyword | 太陽光發電系統,模糊控制, | zh_TW |
| dc.subject.keyword | Photovoltaic System,Fuzzy Control, | en |
| dc.relation.page | 128 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2015-01-06 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 機械工程學研究所 | zh_TW |
| 顯示於系所單位： | 機械工程學系 | |
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