Sasaki H | Hiroshima University
スポンサーリンク
概要
関連著者
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SASAKI Hiroshi
Hiroshima University
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Sasaki H
Hiroshima University
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Yorino Naoto
Hiroshima Univ.
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EL-ARABY E.
Department of Electrical Engineering, Suez Canal University
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El‐araby E
Hiroshima Univ. Higashi‐hiroshima
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El‐araby E
Department Of Electrical Engineering Suez Canal University
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Sasaki Hiroshi
Department of Biological Technology, Faculty of Science and Engineering,Senshu University of Ishinom
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YORINO Naoto
Hiroshima University
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Yorino Naoto
Department Of Artificial Complex Systems Engineering Hiroshima University
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Soeprijanto Adi
Hiroshima University
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El-araby E.
Department Of Artificial Complex Systems Engineering Hiroshima University
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Nagata Takeshi
Dept. Of Electrical Engineering Matsue College Of Technology
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Nagata Takeshi
Department Of Physics Graduate School Of Science Osaka University
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DUO Hanzheng
Dept. of Electrical Engineering Hiroshima University
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Sasaki Hiroshi
Department Of Agricultural Chemistry Faculty Of Agriculture Hokkaido University
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SASAKI Hiroshi
Dept. Med. Biophys. Radiat. Biol., Kyushu Univ.
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EL-ARABY E.
Hiroshima University
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NISHIKAWA Hiroki
Hiroshima University
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YAOKO Seiji
Department of Electrical Engineering Hiroshima University
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EL-ARABY EL-said
Hiroshima University
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YAOKO Seiji
Hiroshima University
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Fujita Hideki
System Division Chubu Electric Power Co.
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TAKAYAMA Toshiaki
System Division Chubu Electric Power Co.
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DUO Hanzheng
Hiroshima University
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NAGATA Takeshi
Matsue College of Technology
著作論文
- A Tabu Search Based Approach for FACTS Devices Allocation against Voltage Collapse
- Optimal Allocation of FACTS Devices for Preventive/Corrective Control against Voltage Collapse Based on GA/SLP Approach
- Application of Decomposition Technique to voltage Stability Constrained VAR Planning Problem
- An Optimal Power Flow for VAR Planning Including FACTS Devices for Security Control against Voltage Collapse
- A METHOD FORCONSTRUCTING REDUCED MODELS EFFECTIVE FOR DESIGNING CIIRDINATED H_∞ PSS's
- ROBUST COORDINATED SVC TO IMPROVE INTER-AREA OSCILLATION DAMPING
- A Comparison of LR+EP and GAs for Unit Commiment Problems
- A Solution for Unit Commitment Using Lagrangian Relaxation Combined with Evolutionary Programming