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Braking Resistor Switching by Genetic Algorithm Optimized Fuzzy Logic Controller in Multi-Machine Power System
https://kitami-it.repo.nii.ac.jp/records/8421
https://kitami-it.repo.nii.ac.jp/records/84219dca13e1-a116-494d-b11a-1afa6e2c71c2
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
2003_Braking Resistor Switching by GeneticAlgorithm Optimized Fuzzy Logic Controller in Multi-Machine Power System.pdf (1.6 MB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2016-08-19 | |||||
| タイトル | ||||||
| タイトル | Braking Resistor Switching by Genetic Algorithm Optimized Fuzzy Logic Controller in Multi-Machine Power System | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | braking resistor | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | transient stability | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | fuzzy logic | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | genetic algorithm | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | balanced fault | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | unbalanced faults | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| アクセス権 | ||||||
| アクセス権 | open access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
| 著者 |
Mohd., Hasan Ali
× Mohd., Hasan Ali× Murata, Toshiaki× Tamura, Junji |
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| 著者別名 | ||||||
| 識別子Scheme | WEKO | |||||
| 識別子 | 44326 | |||||
| 姓名 | 村田, 年昭 | |||||
| 言語 | ja | |||||
| 著者別名 | ||||||
| 識別子Scheme | WEKO | |||||
| 識別子 | 44852 | |||||
| 識別子Scheme | KAKEN | |||||
| 識別子URI | https://nrid.nii.ac.jp/ja/nrid/1000040171897 | |||||
| 識別子 | 40171897 | |||||
| 姓名 | 田村, 淳二 | |||||
| 言語 | ja | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Fuzzy logic has been gaining increasing acceptance in control applications during the past few years. Usually, the membership functions and control rules of fuzzy logic controller are determined by trial and error which is cumbersome and time consuming. Therefore, to surmount such a drawback, this paper makes use of the Genetic Algorithm (GA) technique for optimal tuning of the parameters of the Fuzzy Logic Controller (FLC) used for the switching of the thyristor controlled braking resistor to improve power system transient stability. The braking resistor is installed at each generator bus, where rotor speed of the generator is measured to determine the firing-angle of the thyristor switch. By controlling the firing-angle of the thyristor, braking resistor controls the accelerating power in generators and thus improves the transient stability. The effectiveness of the proposed method has been demonstrated by considering both balanced (3LG: Three-phase-to-ground) and unbalanced (1LG: Single-line-to ground, 2LG: Double-line-to ground and 2LS: Line-to-line) faults at different points in a multi-machine power system. | |||||
| 書誌情報 |
IEEJ Transactions on Power and Energy 巻 123, 号 3, p. 315-323, 発行日 2003-03 |
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| DOI | ||||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | http://doi.org/10.1541/ieejpes.123.315 | |||||
| 権利 | ||||||
| 権利情報 | c 2003 by the Institute of Electrical Engineers of Japan | |||||
| 出版者 | ||||||
| 出版者 | The Institute of Electrical Engineers of Japan | |||||
| 著者版フラグ | ||||||
| 値 | publisher | |||||
| 出版タイプ | ||||||
| 出版タイプ | VoR | |||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
