Optimization Scheduling of Hydro–Wind–Solar Multi-Energy Complementary
The model generates and reduces wind and solar output scenarios using Latin Hypercube Sampling and K-means clustering methods, capturing the uncertainty of renewable
The hydro–wind–solar complementary system typically treats hydropower, wind power, and solar power as an integrated system.
Han et al. have proposed a complementarity evaluation method for wind, solar, and hydropower by examining independent and combined power generation fluctuation. Hydropower is the primary source, while wind and solar participation are changed in each scenario to improve power system operation.
Zhang et al. developed a short-term optimal scheduling model for a hydro–wind–solar multi-energy complementary system, aiming to minimize the curtailment of wind and solar power while maximizing the total generation capacity of cascade hydropower stations.
To address the challenges posed by the direct integration of large-scale wind and solar power into the grid for peak-shaving, this paper proposes a short-term optimization scheduling model for hydro–wind–solar multi-energy complementary systems, aiming to minimize the peak–valley difference of system residual load.
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