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系統親和型水力発電所運用に向けたクレーングループ所内負荷の予測と低炭素デマンドレスポンススケジューリング

Forecasting and Low-Carbon Demand Response Scheduling of Crane-Group Station-Service Loads for Grid-Friendly Hydropower Station Operation (原題)

Wanwan Wei, Shangfeng Guo, Xiaolong Cheng, Wanli Dong, Bo Zhang

EAI Endorsed Transactions on Energy Web📚 査読済 / ジャーナル2026-10-22#エネルギー転換Origin: CN経営インパクト: コスト削減対象セクター: power
DOI: 10.4108/ew.15670
原典: https://doi.org/10.4108/ew.15670

🤖 gxceed AI 要約

日本語

水力発電所の所内クレーングループを安全制約付きの予測可能・調整可能な柔軟性資源としてモデル化し、予測統合型の低炭素デマンドレスポンス枠組みを提案する。位相考慮の確率予測とローリング混合整数最適化により、所内ピーク・PCC追従偏差・炭素機会費用を削減する。実証では所内ピーク16.1%減、PCC RMSE55.1%減、炭素機会費用29.7%減、回生エネルギー利用率を54.8%から86.8%へ向上させた。

English

Models hydropower-station crane groups as safety-bounded, forecastable, dispatchable flexibility resources and proposes a forecast-embedded low-carbon demand response framework. Phase-aware probabilistic forecasting plus rolling mixed-integer optimization cuts station-service peaks, PCC tracking deviations, and carbon-opportunity costs. A validation case reduces peak by 16.1%, PCC RMSE by 55.1%, and carbon-opportunity cost by 29.7%, raising regenerative-energy utilization from 54.8% to 86.8%.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

水力発電所の所内負荷を需給調整・低炭素化の柔軟性資源として捉える視点は、再エネ大量導入下での調整力確保や電力システムの脱炭素化を議論する日本市場にとって参考になる。所内設備の運用最適化による炭素機会費用の削減は、発電事業者のScope1/2削減や電力調達コスト最適化の議論にも接続しうる。

In the global GX context

This work reframes station-service (auxiliary) loads as dispatchable flexibility, adding a rarely considered lever to hydropower's role in grid balancing under high renewable penetration. Its carbon-opportunity-cost framing links operational scheduling to decarbonization accounting, relevant to global discussions on grid flexibility and asset-level emissions.

👥 読者別の含意

🔬研究者:所内負荷を柔軟性資源として扱う予測統合型最適化の手法と、炭素機会費用という評価軸が参考になる。

🏢実務担当者:水力・発電事業者は所内設備の運転スケジューリング見直しでピーク抑制と再エネ利用率向上を検討できる。

🏛政策担当者:調整力確保や系統親和性評価において、所内負荷の柔軟性活用を制度設計に組み込む余地を示す。

📄 Abstract（原文）

Net power injection at the point of common coupling (PCC) is an important indicator of grid-friendly hydropower operation. High-power station-service equipment may consume regulation margin and cause short-term power disturbances if it is not coordinated with unit dispatch and automatic generation control (AGC) tracking. This paper models hydropower-station crane groups as safety-bounded, forecastable, and dispatchable station-service flexibility resources, and proposes a forecast-embedded low-carbon demand response framework. The framework develops a PCC-coupled station-service model, uses phase-aware probabilistic forecasting to generate crane consumption templates, regeneration templates, and uncertainty intervals, and coordinates rigid, semi-flexible, and flexible crane tasks through rolling mixed-integer optimization to reduce station-service peaks, PCC tracking deviations, and carbon-opportunity costs. A station-oriented digital validation case shows that, while satisfying all task deadlines and safety constraints, the proposed method reduces the representative-day station-service peak by 16.1%, PCC RMSE by 55.1%, and carbon-opportunity cost by 29.7%, and increases regenerative-energy utilization from 54.8% to 86.8%, compared with earliest-start scheduling. An archive replay on an actual hydropower station with a 15.00 MW installed crane fleet then shows that start-time shifting remains available under that station’s work-order windows. On a high-duty maintenance day the representative-day peak falls by 15.4%, and over 20 high- duty days the mean peak falls by 17.3%, while regenerative utilization rises from 65.6% to 90.0%. The two evaluations indicate that crane groups at stations that issue work-order-based crane tasks with usable flexibility windows can be co-scheduled as station-service flexibility resources with phase structure, safety boundaries, and temporal regulation value. The reported magnitudes are those of the two cases and are not claimed for other layouts.

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