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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/70417
Title: | 風機及風場性能指標之研究 Study on Performance factor of wind turbines and wind farms |
Authors: | Guo-Hao Huang 黃國豪 |
Advisor: | 蔡進發(Jing-Fa Tsai) |
Keyword: | 風力發電機,性能指標, Wind Turbine,Performance Factor, |
Publication Year : | 2018 |
Degree: | 碩士 |
Abstract: | 本研究利用台電澎湖中屯、彰化彰濱、雲林麥寮3處風場的SCADA(Supervisory Control And Data Acquisition)資料進行分析,利用時間可利用率、發電量可利用率及容量因子分析年度風機及風場變化趨勢,結果顯示在時間可利用率的部分中屯風場相較於其他風場最低,因為長時間停機維修,當中最低為2016年的0.731。而在發電量可利用率的部分,彰工在2013至2015年風場逐年衰減,需要持續注意以即早發現問題並維修;麥寮風場則逐年衰退之外也明顯低於彰工的表現,建議立即檢修。而在容量因子的部分,彰工風場的實際容量因子在四年期間逐年遞減;麥寮則發現第一期完工的風機整體表現高於二期風機之情況。
本研究並提出一性能指標作為每日風機性能表現的度量方法,並提供了一套方便計算與提取正常運行資料的方法,建立性能指標參數。計算結果可發現性能指標對於檢測停機、限載或降級等偏離正常發電之情況較為敏感,可以有效觀測出風機異常日子,並可做為提供準確的即時風機表現評斷指標。 The SCADA data of the three wind farms of Taipower, which are located in Penghu Zhongtun, Changhua Changkon and Yunlin Mailiao, were used for the analysis using the time-based availability, production-based availability and capacity factor in this study. For the analysis results using time-based availability, the time-based availability of Penghu Zhongtun is the worst when compared to other two wind farms. The lowest is 0.731 in 2016, because of the long-term maintenance. For the analysis results of production-based availability, the production-based availability of Changhua Changkon wind farm was also declining year by year between 2013 and 2015. It needs to pay attention to the wind farm for early detection and maintenance. The production-based availability of Yunlin Mailiao wind farm was declining year by year, and it is also significantly lower than the performance of Changhua Changkon wind farm. It is recommended to repair it immediately. This study also proposes a performance factor as a measure of daily wind turbine performance, which is convenient for calculation, and provides a set of method to extract normal operating data to establish parameters of performance factor. The measurement results indicate that the performance factor is sensitive to the detection of derated, degraded or abnormal power generation, etc., which can effectively observe the abnormal days of the wind turbines, and can be used as an accurate indicator of the immediate performance of the wind turbines. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/70417 |
DOI: | 10.6342/NTU201803235 |
Fulltext Rights: | 有償授權 |
Appears in Collections: | 工程科學及海洋工程學系 |
Files in This Item:
File | Size | Format | |
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ntu-107-1.pdf Restricted Access | 3.51 MB | Adobe PDF |
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