JP7053299B2 - 運転計画生成装置、及び運転計画生成方法 - Google Patents
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Description
≪マイクログリッドの全体構成≫
図1Aを参照して、本実施形態に係るマイクログリッド1の構成について説明する。
次に、図2を参照して、マイクログリッド1の運転を管理するエネルギーマネジメントシステムの一機能である運転計画生成装置100の構成の一例について説明する。
例えば、データ生成部101は、エネルギーシステム12に対する各種運転条件を満足する運転計画に基づいて、各機器が運転する場合(図3参照)、KPIを演算する。本実施例では、KPIを、エネルギーシステムが消費する購入電力料金とガス料金の合計であるエネルギーコストとした。
例えば、データ生成部101は、エネルギーシステム12に対する運転制約条件を違反する運転計画に基づいて、各機器が運転する場合(図4及び図5参照)、KPIを違反の度合いに依存させて演算する。即ち、データ生成部101は、違反の度合いが大きければ、基準の値に正の値(ペナルティ)を多く加算して、最終的なKPIを演算する。一方、データ生成部101は、違反の度合いが小さければ、基準の値に正の値(ペナルティ)を少量加算して、最終的なKPIを演算する。
ケース3およびケース5は、エネルギーシステム12に対する運転制約条件を満足する運転計画(過去の実績)に基づいて、各機器が運転する場合におけるKPI(実績データ)であり、運転制約違反は発生していない。ケース4およびケース6は、エネルギーシステム12に対する運転制約条件を満足する運転計画(物理モデルおよび統計モデルを用いたコンピュータによる解析)に基づいて、各機器が運転する場合におけるKPI(解析データ)であり、運転制約違反は発生していない。
次に、図7を参照して、本実施形態に係る運転計画生成装置100の動作について説明する。
≪運転計画生成装置の構成≫
次に、図8を参照して、マイクログリッド1の運転を管理するエネルギーマネジメントシステムの一機能である運転計画生成装置200の構成の一例について説明する。なお、第2実施形態において、第1実施形態と、共通する部分については、重複した説明を省略する。
一方、運転計画候補3は、一部が運転制約条件の範囲に含まれているが、一部が運転制約条件の範囲に含まれていない。従って、運転計画生成部204は、運転計画候補3に含まれる優良初期解を用いて演算を開始し、運転制約条件を考慮しながら最適化計算を実行することにより、発電機121及び蓄電池122の運転が、運転制約条件を満足する運転計画を生成することができる。
≪運転計画生成装置の動作≫
次に、図10を参照して、本実施形態に係る運転計画生成装置200の動作について説明する。
11 需要家
12 エネルギーシステム
100,200 運転計画生成装置
101,201 データ生成部
102,202 機械学習部
103,204 運転計画生成部
203 運転計画候補生成部
A 電力
B 温水
C 冷水
D ガス
Claims (3)
- 需要家にエネルギーを供給するエネルギーシステムにおける運転計画生成装置であって、
前記エネルギーシステムを管理するエネルギーマネジメントシステムから取得した、前記エネルギーシステムに対する運転制約条件を満足する運転計画を複数生成するデータ生成部と、
機械学習を採用することによって、複数の前記運転計画に基づいて、前記エネルギーシステムの特性を学習する機械学習部と、
学習した前記エネルギーシステムの特性に基づいて、複数の運転計画候補を生成する運転計画候補生成部と、
前記複数の運転計画候補に基づいて、前記複数の運転計画候補のそれぞれに含まれる優良初期解を選定し、それぞれの前記優良初期解を初期値として演算を行うことで、エネルギーコストが最小となる運転計画を生成する運転計画生成部と、
を備えることを特徴とする運転計画生成装置。 - 前記運転計画候補生成部は、運転当日の日時、運転当日の日時の気象予報、運転当日の日時のエネルギー価格、電力需要予測値、及び、熱需要予測値を含む運転条件を用いて複数の運転計画候補を生成し、
前記運転計画生成部は、前記運転制約条件及び前記エネルギーシステムを構成する機器のエネルギー消費特性データを用いて演算を行う
ことを特徴とする請求項1に記載の運転計画生成装置。 - 需要家にエネルギーを供給するエネルギーシステムにおける運転計画生成方法であって、
前記エネルギーシステムを管理するエネルギーマネジメントシステムから取得した、前記エネルギーシステムに対する運転制約条件を満足する運転計画を複数生成するステップと、
機械学習を採用することによって、複数の前記運転計画に基づいて、前記エネルギーシステムの特性を学習するステップと、
学習した前記エネルギーシステムの特性に基づいて、複数の運転計画候補を生成するステップと、
前記複数の運転計画候補に基づいて、前記複数の運転計画候補のそれぞれに含まれる優良初期解を選定し、それぞれの前記優良初期解を初期値として演算を行うことで、エネルギーコストが最小となる運転計画を生成するステップと、
を含むことを特徴とする運転計画生成方法。
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US16/957,300 US20200387847A1 (en) | 2018-02-15 | 2018-11-26 | Operation Plan Generation Device and Operation Plan Generation Method |
PCT/JP2018/043365 WO2019159477A1 (ja) | 2018-02-15 | 2018-11-26 | 運転計画生成装置、及び運転計画生成方法 |
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WO2021106058A1 (ja) * | 2019-11-26 | 2021-06-03 | 株式会社日立製作所 | 計画立案装置及び計画立案方法 |
CN112183918B (zh) * | 2019-12-23 | 2023-05-23 | 成都思晗科技股份有限公司 | 一种输电线路在线巡检作业计划的智能生成方法 |
CN111473494A (zh) * | 2020-04-03 | 2020-07-31 | 五邑大学 | 基于机器学习的空调控制方法、装置和设备 |
AU2021310639B2 (en) * | 2020-07-13 | 2024-02-15 | Ihi Corporation | Operation assistance device and operation assistance program |
KR102463146B1 (ko) * | 2020-07-14 | 2022-11-03 | 중앙대학교 산학협력단 | 계층적 심화 강화학습을 이용한 hems 최적화 방법 및 장치 |
JP7041374B2 (ja) | 2020-09-04 | 2022-03-24 | ダイキン工業株式会社 | 生成方法、プログラム、情報処理装置、情報処理方法、及び学習済みモデル |
CN114199036A (zh) * | 2020-09-18 | 2022-03-18 | 川崎重工业株式会社 | 余热回收锅炉及其除尘运转计划装置 |
JP7487704B2 (ja) * | 2021-04-28 | 2024-05-21 | 横河電機株式会社 | 評価装置、評価方法、評価プログラム、制御装置、および、制御プログラム |
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JP2004317049A (ja) | 2003-04-17 | 2004-11-11 | Yamatake Corp | 熱源運転支援制御方法、システムおよびプログラム |
JP2010124644A (ja) | 2008-11-21 | 2010-06-03 | Nippon Telegr & Teleph Corp <Ntt> | エネルギーシステム制御装置および制御方法 |
JP2015135571A (ja) | 2014-01-16 | 2015-07-27 | 株式会社東芝 | 運転計画作成装置、制御装置、運転計画作成方法、およびプログラム |
JP2016032337A (ja) | 2014-07-28 | 2016-03-07 | 株式会社Ihi | エネルギーマネジメントシステム、電力需給計画最適化方法および電力需給計画最適化プログラム |
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JP2004317049A (ja) | 2003-04-17 | 2004-11-11 | Yamatake Corp | 熱源運転支援制御方法、システムおよびプログラム |
JP2010124644A (ja) | 2008-11-21 | 2010-06-03 | Nippon Telegr & Teleph Corp <Ntt> | エネルギーシステム制御装置および制御方法 |
JP2015135571A (ja) | 2014-01-16 | 2015-07-27 | 株式会社東芝 | 運転計画作成装置、制御装置、運転計画作成方法、およびプログラム |
JP2016032337A (ja) | 2014-07-28 | 2016-03-07 | 株式会社Ihi | エネルギーマネジメントシステム、電力需給計画最適化方法および電力需給計画最適化プログラム |
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