Forecasting and Low-Carbon Demand Response Scheduling of Crane-Group Station-Service Loads for Grid-Friendly Hydropower Station Operation
Abstract
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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BibTeX
@article{wei2026forecasting,
title = {{Forecasting and Low-Carbon Demand Response Scheduling of Crane-Group Station-Service Loads for Grid-Friendly Hydropower Station Operation}},
author = {Wanwan Wei and Shangfeng Guo and Xiaolong Cheng and Wanli Dong and Bo Zhang},
journal = {EAI Endorsed Transactions on Energy Web},
year = {2026},
month = oct,
doi = {10.4108/ew.15670},
url = {https://doi.org/10.4108/ew.15670},
note = {CC BY-NC-SA},
}
RIS
TY - JOUR
TI - Forecasting and Low-Carbon Demand Response Scheduling of Crane-Group Station-Service Loads for Grid-Friendly Hydropower Station Operation
AU - Wanwan Wei
AU - Shangfeng Guo
AU - Xiaolong Cheng
AU - Wanli Dong
AU - Bo Zhang
PY - 2026
DA - 2026/10/23
JO - EAI Endorsed Transactions on Energy Web
DO - 10.4108/ew.15670
UR - https://doi.org/10.4108/ew.15670
AB - 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.
SN - 2032-944X
ER -