Eigenvalue Estimation of Dominant Electromechanical Modes Based on Synchronous Measurement and Generator Grouping Technique
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- Hiraiwa Hisayuki
- Graduate School of Engineering, Tohoku University
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- Saitoh Hiroumi
- Graduate School of Engineering, Tohoku University
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- Tsukada Eiichi
- Power System Engineering Department, Tohoku Electric Power Co., Inc.
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- Minazawa Kazuo
- R&D Center, Tohoku Electric Power Co., Inc.
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- Toyoda Junichi
- Department of Electronic Intelligence and Systems, Hachinohe Institute of Technology
Bibliographic Information
- Other Title
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- 同期計測技術と発電機グループ化理論に基づく支配的電力動揺モードの推定法
- ドウキ ケイソク ギジュツ ト ハツデンキ グループカ リロン ニ モトヅク シハイテキ デンリョク ドウヨウ モード ノ スイテイホウ
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Abstract
The authors have been studying a new approach for modal analysis of large power systems that utilizes GPS-based synchronous measurement technology. The approach is based on the identification of a linearized Multi-Input Multi-Output model of power system. Since the identified model expresses approximately the electromechanical dynamics of actual power system, modal frequencies, dampings and mode shapes corresponding to electromechanical modes can be estimated as eigenvalues and eigenvectors of the identified model. In the paper, in order to advance our approach to a practical technique, it is mainly discussed how to select a small number of machines suitable for measurement locations to estimate eigenvalues associated with dominant slow modes. Such machines can be detected by identifying coherent groups related to the slow modes. The reference generators that behave representatively in each coherent group are the optimal ones to be measured. Therefore, the slow modes can be obtained by observing one generator from each group. The verification of the new modal analysis and coherency-based machine selection is done through simulation studies using IEEJ EAST 10-machine system model.
Journal
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- IEEJ Transactions on Power and Energy
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IEEJ Transactions on Power and Energy 125 (11), 1047-1054, 2005
The Institute of Electrical Engineers of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390282679577863936
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- NII Article ID
- 130000080901
- 30011601383
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- NII Book ID
- AN10136334
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- ISSN
- 13488147
- 03854213
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- NDL BIB ID
- 7692058
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed