This paper develops a capacity optimization model for a wind–solar–hydro–storage multi-energy complementary system. The objectives are to improve net system income, reduce wind and solar curtailment, and mitigate intraday fluctuations.. Can a multi-energy complementary power generation system integrate wind and solar energy? Simulation results validated using real-world data from the southwest region of China. Future research will focus on stochastic modeling and incorporating energy storage systems. This paper proposes. . Numerous studies have shown that the combination of sources with complementary characteristics could make a significant contribution to mitigating the variability of energy production over time. This article aims to evaluate the optimal configuration of a hybrid plant through the total variation. . How about the wind and complementari n of fluctuation characteristics is used to evaluate the complementarity of wind and PV power. The results show that wind and PV power are complementaryto e ch other in different time scales,that is,their superposition can red und that their complementarity can. . This paper presents a new capacity planning method that utilizes the complementary characteristics of wind and solar power output. It addresses the limitations of relying on a single metric for a comprehensive assessment of complementarity. We adopt the quantum particle swarm algorithm (QPSO) for.
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