2022 Fiscal Year Final Research Report
Study for Improvement of Energy Efficiency in Induction Motors including Transient State
Project/Area Number |
17K14646
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Multi-year Fund |
Research Field |
Power engineering/Power conversion/Electric machinery
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Research Institution | Sophia University |
Principal Investigator |
Sakamoto Orie 上智大学, 理工学部, 准教授 (40443262)
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Project Period (FY) |
2017-04-01 – 2023-03-31
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Keywords | 誘導発電機 / 誘導電動機 / 瞬時値解析 / DFIG / XTAP |
Outline of Final Research Achievements |
A new method of modeling a doubly-fed induction generator (DFIG) has been proposed for the purpose to contribute improvement of energy efficiency in induction machines in electric power systems. The method is used for transient simulation of power systems and able to calculate dynamic characteristics of a DFIG stably and accurately by explicitly limiting accumulation of calculation errors. A new DFIG model based on the proposed method has been developed in an electric power system transient simulation software, XTAP. DFIG is a kind of induction machines and used for pumped storage hydro generation and windfarms.
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Free Research Field |
電力系統工学
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Academic Significance and Societal Importance of the Research Achievements |
主要な学術的意義は、提案する安定性が高い計算手法が電力システムの瞬時値解析においてDFIGの過渡的な運転状態のシミュレーションに適用できると示した点にある。電力システムの瞬時値解析は電気現象を数十~数キロヘルツ程度までの波形を追う形で詳細にシミュレーションするものである。開発したモデルは、電力システムに落雷などの大きな擾乱が加わり電圧や電流の波形や周波数が大きく変化する場合にも過渡的な特性を計算でき、社会的にはウィンドファームのよりよい制御手法の検討などに用いることができる。
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