Coordinated Day-Ahead and Intra-Day Scheduling of Cascaded Hydro–Solar Hybrid System Considering Curtailment Risk

In recent years, cascaded hydropower (CHP) has been extensively leveraged to enhance the grid-connected penetration of photovoltaic (PV) generation. However, the inherent stochasticity and volatility of high-penetration PV often lead to significant renewable curtailment. To address this challenge, this paper proposes a coordinated day-ahead and intra-day scheduling model that incorporates curtailment risk assessment. The proposed framework employs a two-stage optimization architecture: the day-ahead stage establishes a baseline dispatch schedule with the objective of maximizing total energy production, while the intra-day stage refines this plan through multi-scenario optimization that explicitly accounts for curtailment risk. This synergistic mechanism achieves the objective of “maximizing day-ahead economic benefits and ensuring intra-day renewable accommodation”. Case studies on a specific river basin demonstrate the effectiveness of the proposed model. Simulation results indicate that, compared to conventional energy-maximization approaches, the proposed model significantly reduces intra-day curtailment rates and substantially enhances the integrated accommodation capacity of the hydro–solar hybrid system.

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Publication Details

Journal
Solar
Published
2026-05-12
DOI
https://doi.org/10.3390/solar6030025
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
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article

Coordinated Day-Ahead and Intra-Day Scheduling of Cascaded Hydro–Solar Hybrid System Considering Curtailment Risk

F S Li, Yuqian Wang, Xianren Ai, Chulun Cheng et al.
Solar
Integrated Energy Systems Optimization
article

Coordinated Day-Ahead and Intra-Day Scheduling of Cascaded Hydro–Solar Hybrid System Considering Curtailment Risk

F S Li, Yuqian Wang, Xianren Ai, Chulun Cheng, Jie Peng, Qishun Zhang, Honggang Li
article en

Abstract

In recent years, cascaded hydropower (CHP) has been extensively leveraged to enhance the grid-connected penetration of photovoltaic (PV) generation. However, the inherent stochasticity and volatility of high-penetration PV often lead to significant renewable curtailment. To address this challenge, this paper proposes a coordinated day-ahead and intra-day scheduling model that incorporates curtailment risk assessment. The proposed framework employs a two-stage optimization architecture: the day-ahead stage establishes a baseline dispatch schedule with the objective of maximizing total energy production, while the intra-day stage refines this plan through multi-scenario optimization that explicitly accounts for curtailment risk. This synergistic mechanism achieves the objective of “maximizing day-ahead economic benefits and ensuring intra-day renewable accommodation”. Case studies on a specific river basin demonstrate the effectiveness of the proposed model. Simulation results indicate that, compared to conventional energy-maximization approaches, the proposed model significantly reduces intra-day curtailment rates and substantially enhances the integrated accommodation capacity of the hydro–solar hybrid system.

SolarVol. 6(3)
Dalian University of Technology (CN), Dalian University (CN), Yunnan Water Conservancy and Hydropower Survey and Design Institute (CN)
Affordable and clean energy
Openalex Percentile: Top 8%
Integrated Energy Systems Optimization
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