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September 16, 2025Open Access

An Optimization Method for Day-Ahead Generation Interval of Cascade Hydropower Adapting to Multi-Source Coordinated Scheduling Requirements

Key Points

The optimization method enhances day-ahead generation intervals for cascade hydropower stations, improving operational efficiency.
Incorporating stochastic operational processes, the method addresses variability in reservoir levels and power outputs.
The study highlights significant differences among energy sources, such as hydropower and thermal power, in scheduling requirements.
Effective multi-source coordinated scheduling can help manage complex operational constraints present in large-scale hydropower.

Abstract

Multi-source coordinated scheduling has become the predominant operational paradigm in power systems. However, substantial differences among hydropower, thermal power, wind power, and photovoltaic sources in terms of response speed, regulation capability, and operational constraints—particularly the complex generation characteristics and spatiotemporal hydraulic coupling of large-scale cascade hydropower stations—significantly increase the complexity of coordinated scheduling. Therefore, this study proposes an optimization method for determining the day-ahead generation intervals of cascade hydropower, applicable to multi-source coordinated scheduling scenarios. The method fully accounts for the operational characteristics of hydropower and the requirements of coordinated scheduling. By incorporating stochastic operational processes, such as reservoir levels and power outputs, feas

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