What does this research mean for the field?

A closed-loop multi-timescale scheduling framework integrating day-ahead and intra-day rolling optimization increases daily profits and reduces operational costs by over 15% for wind-solar-hydrogen-storage systems under uncertainties compared to conventional methods. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To develop a multi-timescale closed-loop scheduling framework for grid-connected wind-solar-storage-hydrogen systems facing renewable generation forecast errors and electricity market price volatility.

September 3, 2026International Journal of Hydrogen EnergyOpen Access

Multi-timescale scheduling for wind-solar-hydrogen-storage systems under renewable generation and electricity price uncertainties in electricity markets

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Authors

MQManting QinShenzhen Institute of Information Technology KMKang Ma HZHaijun ZhangRutgers, The State University of New Jersey

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Implication

Optimization study demonstrates a closed-loop scheduling framework reduces operational costs over 15% in hybrid renewable-hydrogen systems, indicating improved profitability and grid compliance.

Key Points

To develop a multi-timescale closed-loop scheduling framework for grid-connected wind-solar-storage-hydrogen systems facing renewable generation forecast errors and electricity market price volatility.
Integrated day-ahead baseline scheduling with an intra-day rolling optimization model.
Formulated a chance-constrained programming model with dynamic safety margins to handle renewable generation uncertainty and a scenario-based conditional value-at-risk model to manage price risk.
Validated the scheduling framework using real-world operational and electricity market data from Inner Mongolia, China.
Reduced operating costs by more than 15% and increased daily profits relative to conventional scheduling strategies.
Decreased non-compliant electrical energy deviations from 20.25% to 1.50% while preserving robustness against electricity price fluctuations.

Cite This Study

Qin et al. (2026) studied this question.

synapsesocial.com/papers/6a9934ea636c6408cfa7cb20 https://doi.org/10.1016/j.ijhydene.2026.157087

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Implication

Optimization study demonstrates a closed-loop scheduling framework reduces operational costs over 15% in hybrid renewable-hydrogen systems, indicating improved profitability and grid compliance.

Multi-timescale scheduling for wind-solar-hydrogen-storage systems under renewable generation and electricity price uncertainties in electricity markets

Discussion

Member takes

Implication

Key Points

Cite This Study

Multi-timescale scheduling for wind-solar-hydrogen-storage systems under renewable generation and electricity price uncertainties in electricity markets

Discussion

Member takes

Implication

Key Points

Cite This Study

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