Adaptive Chaotic Pattern Creation Method for Producing Various Scenarios in Power Resource Planning
-
- Hayashi Yasuhiro
- Ibaraki University
-
- Kim Hyunchul
- Ibaraki University
-
- Nara Koichi
- Ibaraki University
書誌事項
- タイトル別名
-
- Adaptive Chaotic Pattern Creation Metho
この論文をさがす
抄録
Power resource planning-the decision of construction period of generators-is affected by several uncertainties: load demand, fuel cost, and so on. In order to evaluate power resource planning which necessarily involves several uncertainties, it is usual for planners to prepare many scenarios which consider several uncertainties and to analyze whether the particular resource plan is feasible far every scenario. It is a large computational burden to analyze even one scenario. In order to realize an efficient scenario analysis, several preferable scenarios which can reflect many scenario must be determined. In this paper, in order to create preferable scenarios, we propose a new scenario creation algorithm corresponding to the planner's consideration process. The proposed method employs a combntation of Chaotic Neural Network (CNN) and Genetic Algorithm (GA). CNN is able to carry out a dynamic pattern association function effectively, and GA has an excellent adaptive nature. The effectiveness of the proposed method is demonstrated by numerical results for the actual data of several uncertainties in 1986_??_1990 through comparing these with the decision tree method.
収録刊行物
-
- 電気学会論文誌B(電力・エネルギー部門誌)
-
電気学会論文誌B(電力・エネルギー部門誌) 117 (2), 183-188, 1997
一般社団法人 電気学会
- Tweet
詳細情報 詳細情報について
-
- CRID
- 1390001204605761280
-
- NII論文ID
- 130006842134
- 10009874797
-
- NII書誌ID
- AN10136334
-
- ISSN
- 13488147
- 03854213
-
- NDL書誌ID
- 4139406
-
- 本文言語コード
- en
-
- データソース種別
-
- JaLC
- NDL
- Crossref
- CiNii Articles
-
- 抄録ライセンスフラグ
- 使用不可