書誌事項
- タイトル別名
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- Maximization of Smoothing Effects for Photovoltaic Generation via Game Theoretic Learning Algorithm
- ゲーム リロンテキ ガクシュウ アルゴリズム ニ モトズク タイヨウコウ ハツデン シュツリョク ノ ナラシ コウカ サイタイカ
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抄録
In this paper, we focus on smoothing effects for photovoltaic generation and investigate its maximization problem based on game theory. We first confirm the smoothing effects through data analysis of global solar radiation profiles. We next formulate an optimal energy source selection problem and then reduce the problem to so-called resource allocation games. After pointing out that the game is reduced to so-called potential games, we present a real-time implementation method of a payoff-based learning algorithm leading players to the optimal action without prior knowledge on utility functions. Finally, we demonstrate its effectiveness through simulation.
収録刊行物
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- 計測自動制御学会論文集
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計測自動制御学会論文集 49 (2), 229-236, 2013
公益社団法人 計測自動制御学会
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詳細情報 詳細情報について
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- CRID
- 1390001204504327296
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- NII論文ID
- 10031154991
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- NII書誌ID
- AN00072392
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- ISSN
- 18838189
- 04534654
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- NDL書誌ID
- 024320875
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- 本文言語コード
- en
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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