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- 岡部 正典
- 東海大学工学部電気電子工学科
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- Shahrin Mohd
- Department of Electrical, Electrical and Electronics Engineering, Tokai University
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- 青木 秀憲
- 東海大学工学部電気電子工学科
書誌事項
- タイトル別名
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- Network Expansion Planning using Improved Controlled NSGA-II
- カイリョウガタ Controlled NSGA-Ⅱ オ テキヨウ シタ ハイデン ケイトウ カクチョウ ケイカク
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説明
This paper presents applying multi-objective optimization methods to network expansion planning. The distribution network expansion planning minimizes system cost and distribution loss while satisfying the constraints. Problem formulation results in combinatorial optimization problems that are difficult to solve due to complexity. This research applies a genetic algorithm, which is a meta-heuristics method. The present study proposes a new method of multi-objective optimization methods; NSGA-II, SPEA2 and Controlled NSGA-II are assumed to be the best method now. The proposed method introduces the concept of a linkage identification genetic algorithm, enabling more efficient searching than methods hitherto known. In the past, most research that's network expansion planning didn't include load curve. This research demonstrated that the research has to include load curve. Also it proposed new method that's how to search including load curve for the research.
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) 134 (7), 586-595, 2014
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
- 1390282679578134912
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- NII論文ID
- 130004446664
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- NII書誌ID
- AN10136334
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- ISSN
- 13488147
- 03854213
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- NDL書誌ID
- 025641234
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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