書誌事項
- タイトル別名
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- Distribution State Estimation using Multiple Stages considering Asynchronous Measurement Data by Dependable Parallel Multi-population Global-best Brain Storm Optimization with Differential Evolution Strategies
- ヒドウキ ケイソク オ コウリョ シタ フクスウジカン ダンメン オ モチイタ ハイデン ケイトウ ジョウタイ スイテイ エ ノ ヘイレツ フクスウ シュウダンガタ GBSODE ニ ヨル ディペンダブル ナ ホウシキ ノ テイアン
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抄録
<p>This paper proposes distribution state estimation (DSE) using multiple stages considering asynchronous measurement data by dependable parallel multi-population global-best brain storm optimization with differential evolution strategies. In actual distribution systems, measurement data are obtained asynchronously by polling in distribution automation systems. However, conventional DSE methods have not considered the asynchronous measurement data. Therefore, new DSE formulation using multiple stages is proposed in order to consider the asynchronous measurement data. Since actual distribution system equipment causes a nonlinear characteristic of an objective function, evolutionary computation techniques have been applied to DSE problems. Moreover, parallel and distributed processing should be applied to the DSE problems considering penetration of renewable energies. In such a case, appropriate estimation results should be obtained even if various faults of distributed processes occur. Namely, fast and dependable computation is necessary for the DSE problems. The proposed method is verified to be more effective than conventional DSE using a single stage without considering the asynchronous measurement data.</p>
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) 141 (6), 426-439, 2021-06-01
一般社団法人 電気学会
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キーワード
詳細情報 詳細情報について
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- CRID
- 1390288215573478016
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- NII論文ID
- 130008046669
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- NII書誌ID
- AN10136334
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- ISSN
- 13488147
- 03854213
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- NDL書誌ID
- 031547397
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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