全国電源運用最適化シミュレーションモデルの開発，アルゴリズムの詳細

カテゴリ: 部門大会

論文No: 13

グループ名: 【B】平成29年電気学会電力・エネルギー部門大会

発行日: 2017/09/05

タイトル(英語): Development of Optimization Model for Power System Operation, Details of Algorithm

著者名: 清水 翔司(NTTデータ数理システム),原田 耕平(NTTデータ数理システム),田辺 隆人(NTTデータ数理システム),本田 敦夫(大阪ガス),手塚 孔一郎(大阪ガス),岡村 智仁(大阪ガス),河本 薫(大阪ガス),白川 達也(ABEJA),高橋 智洋(ABEJA)

著者名(英語): Shoji Shimizu|Kohei Harada|Takahito Tanabe|Atsuo Honda|Koichiro Tezuka|Tomihito Okamura|Kaoru Kawamoto|Tatsuya Shirakawa|Tomohiro Takahashi

キーワード: 電力最適化|大規模起動停止問題|ラグランジュ緩和法|再生可能エネルギー|広域メリットオーダー動的計画法,Power Optimization,Large-Scale Unit Commitment Problem,Lagrangian Relaxation,Renewable Energy,Multi-Area Merit OrderDynamic Programming

要約(日本語): Osaka Gas Co., Ltd., jointly with NTT DATA Mathematical Systems Inc., has developed unit-commitment model for optimizing dispatch of power generation units. Main purpose of this paper is to describe this model: POLAR, which stands for “Power Optimization with LAgrangian Relaxation.”As the name suggests, the overall framework of this model is Lagrangian relaxation method which decomposes a multi-unit commitment problem into single-unit commitment problems. It is known that single-unit commitment problems can be solved by dynamic programming, but it cannot handle Must-On and Must-Off constraints as it is. We extend this method to include these constraints without violating the framework of dynamic programming.

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