書誌事項
- タイトル別名
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- Convergence Improvement and Bad Data Detection for Fast Rectangular Coordinates State Estimator
- コウソク ブンリ ジョウタイ スイテイキ ノ シュウソク トクセイ カイゼン ト フリョウ データ ケンシュツ ノ イチシュホウ
この論文をさがす
抄録
From power system on-line operation and security control view point, state estimation, a methodology used to obtain reliable estimate of power system state, has become one of the important issues. Among some state estimation methods, the fast-decoupled state estimator is commonly used as a prevailed method and has been implemented by many utilities. However, it has been recognized that its convergence characteristics may become deteriorated when it encounters bad system conditions. Therefore, in this paper, first of all, we present the fast-decoupled state estimator which is used in present power systems. Next, we propose a method to improve the convergence characteristics of fast-decoupled state estimator (in rectangular coordinates) using the optimal multiplier μ, followed by a reliable technique to detect bad data. The proposed method has been tested on several types of load flow test systems and successful results have been obtained.
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） 126 (5), 501-508, 2006
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
- 1390001204602406016
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- NII論文ID
- 10018111230
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- NII書誌ID
- AN10136334
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- ISSN
- 13488147
- 03854213
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- NDL書誌ID
- 7946676
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可
