Modeling and Analysis of Unit Commitment with Control Performance Constraints
碩士 === 國立成功大學 === 電機工程學系 === 106 === Maintaining frequency stability and quality of the power system is an important operating issue. From the year of 2013, Taiwan Power Company (Taipower) enforced control performance standard 1 (CPS1) to assess frequency stability of the Taipower system. In this th...
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ndltd-TW-106NCKU54421272019-05-16T01:08:00Z http://ndltd.ncl.edu.tw/handle/8bxr6j Modeling and Analysis of Unit Commitment with Control Performance Constraints 含控制效能標準約束之機組排程模型建立與分析 Yu-LinLin 林鈺霖 碩士 國立成功大學 電機工程學系 106 Maintaining frequency stability and quality of the power system is an important operating issue. From the year of 2013, Taiwan Power Company (Taipower) enforced control performance standard 1 (CPS1) to assess frequency stability of the Taipower system. In this thesis, several frequency control factors that highly correlate with CPS1 score under different op-erating periods are identified by analyzing the historical data. Following that, this research adopts General Regression Neural Network (GRNN) to establish the power system model which can reflect frequency control re-sponse. Finally, the developed system model is integrated with unit com-mitment program to come up with CPS1 constraint. By going through the mutual interaction between system model and unit commitment program, the frequency constrained unit commitment can be derived to ensure fre-quency quality. Chang-Chien Le-Ren 張簡樂仁 2018 學位論文 ; thesis 155 zh-TW |
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碩士 === 國立成功大學 === 電機工程學系 === 106 === Maintaining frequency stability and quality of the power system is an important operating issue. From the year of 2013, Taiwan Power Company (Taipower) enforced control performance standard 1 (CPS1) to assess frequency stability of the Taipower system. In this thesis, several frequency control factors that highly correlate with CPS1 score under different op-erating periods are identified by analyzing the historical data. Following that, this research adopts General Regression Neural Network (GRNN) to establish the power system model which can reflect frequency control re-sponse. Finally, the developed system model is integrated with unit com-mitment program to come up with CPS1 constraint. By going through the mutual interaction between system model and unit commitment program, the frequency constrained unit commitment can be derived to ensure fre-quency quality.
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Chang-Chien Le-Ren |
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Chang-Chien Le-Ren Yu-LinLin 林鈺霖 |
author |
Yu-LinLin 林鈺霖 |
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Yu-LinLin 林鈺霖 Modeling and Analysis of Unit Commitment with Control Performance Constraints |
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Yu-LinLin |
title |
Modeling and Analysis of Unit Commitment with Control Performance Constraints |
title_short |
Modeling and Analysis of Unit Commitment with Control Performance Constraints |
title_full |
Modeling and Analysis of Unit Commitment with Control Performance Constraints |
title_fullStr |
Modeling and Analysis of Unit Commitment with Control Performance Constraints |
title_full_unstemmed |
Modeling and Analysis of Unit Commitment with Control Performance Constraints |
title_sort |
modeling and analysis of unit commitment with control performance constraints |
publishDate |
2018 |
url |
http://ndltd.ncl.edu.tw/handle/8bxr6j |
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