Application of Genetic Algorithm on Directional Overcurrent Relay Planning
碩士 === 國立高雄應用科技大學 === 電機工程系 === 97 === This study aims at the setting of the directional overcurrent relay of the 69kV transmission line of Taiwan power company. Current settings of the overcurrent relay are decided by manpower based on the relay principles set by Taipower. To shorten the calculatio...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2009
|
Online Access: | http://ndltd.ncl.edu.tw/handle/95233389947682156865 |
id |
ndltd-TW-097KUAS8442087 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-097KUAS84420872017-06-07T04:37:02Z http://ndltd.ncl.edu.tw/handle/95233389947682156865 Application of Genetic Algorithm on Directional Overcurrent Relay Planning 應用基因演算法於方向性過流保護電驛之規劃 Meng-Tze Lin 林孟澤 碩士 國立高雄應用科技大學 電機工程系 97 This study aims at the setting of the directional overcurrent relay of the 69kV transmission line of Taiwan power company. Current settings of the overcurrent relay are decided by manpower based on the relay principles set by Taipower. To shorten the calculation time, we applied genetic algorithm to find the optimal setting of directional overcurrent relay. A Taipower 69kV system in Wu-jia City of Kaohsiung County is selected for computer simulation to demonstrate the effectiveness of the proposed methodology. It is found that the proposed genetic algorithm methodology provides more accurate setting values than conventional calculation. Through comparing with the results gained from the traditional calculation, the researcher proved that genetic algorithm was more accurately capable of finding setting values. In addition, this finding is able to enhance working efficiency. Chia-Hung Lin 林嘉宏 2009 學位論文 ; thesis 97 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立高雄應用科技大學 === 電機工程系 === 97 === This study aims at the setting of the directional overcurrent relay of the 69kV transmission line of Taiwan power company. Current settings of the overcurrent relay are decided by manpower based on the relay principles set by Taipower. To shorten the calculation time, we applied genetic algorithm to find the optimal setting of directional overcurrent relay. A Taipower 69kV system in Wu-jia City of Kaohsiung County is selected for computer simulation to demonstrate the effectiveness of the proposed methodology. It is found that the proposed genetic algorithm methodology provides more accurate setting values than conventional calculation. Through comparing with the results gained from the traditional calculation, the researcher proved that genetic algorithm was more accurately capable of finding setting values. In addition, this finding is able to enhance working efficiency.
|
author2 |
Chia-Hung Lin |
author_facet |
Chia-Hung Lin Meng-Tze Lin 林孟澤 |
author |
Meng-Tze Lin 林孟澤 |
spellingShingle |
Meng-Tze Lin 林孟澤 Application of Genetic Algorithm on Directional Overcurrent Relay Planning |
author_sort |
Meng-Tze Lin |
title |
Application of Genetic Algorithm on Directional Overcurrent Relay Planning |
title_short |
Application of Genetic Algorithm on Directional Overcurrent Relay Planning |
title_full |
Application of Genetic Algorithm on Directional Overcurrent Relay Planning |
title_fullStr |
Application of Genetic Algorithm on Directional Overcurrent Relay Planning |
title_full_unstemmed |
Application of Genetic Algorithm on Directional Overcurrent Relay Planning |
title_sort |
application of genetic algorithm on directional overcurrent relay planning |
publishDate |
2009 |
url |
http://ndltd.ncl.edu.tw/handle/95233389947682156865 |
work_keys_str_mv |
AT mengtzelin applicationofgeneticalgorithmondirectionalovercurrentrelayplanning AT línmèngzé applicationofgeneticalgorithmondirectionalovercurrentrelayplanning AT mengtzelin yīngyòngjīyīnyǎnsuànfǎyúfāngxiàngxìngguòliúbǎohùdiànyìzhīguīhuà AT línmèngzé yīngyòngjīyīnyǎnsuànfǎyúfāngxiàngxìngguòliúbǎohùdiànyìzhīguīhuà |
_version_ |
1718456386473426944 |