Braking Resistor Switching By Genetic Algorithm Optimized Fuzzy Logic Controller In Multi-Machine Power System.
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- Ali Mohd. Hasan
- Dept. of EEE, Kitami Institute of Technology
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- Murata Toshiaki
- Dept. of EEE, Kitami Institute of Technology
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- Tamura Junji
- Dept. of EEE, Kitami Institute of Technology
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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.
収録刊行物
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- 電気学会論文誌B(電力・エネルギー部門誌)
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電気学会論文誌B(電力・エネルギー部門誌) 123 (3), 315-323, 2003
一般社団法人 電気学会
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詳細情報 詳細情報について
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- CRID
- 1390001204599549824
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- NII論文ID
- 120005984033
- 130000081216
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- NII書誌ID
- AN10136334
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- ISSN
- 13488147
- 03854213
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- NDL書誌ID
- 6480192
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- IRDB
- NDL
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