August 11, 2025WaterOpen Access

Optimal Configuration and Empirical Analysis of a Wind–Solar–Hydro–Storage Multi-Energy Complementary System: A Case Study of a Typical Region in Yunnan

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The optimized multi-energy complementary system enhances economic efficiency and reduces renewable energy curtailment significantly.
Utilization of new energy sources increased substantially, supporting the adoption of cleaner power methods.
An empirical analysis using a capacity optimization model verified substantial performance improvements in the system.
The quantum particle swarm algorithm effectively maximizes life cycle benefits, indicating future engineering potential for these systems.

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Capacity optimization improves economic efficiency and reduces curtailment in a wind-solar-hydro-storage system, highlighting its utility.

Jia et al. (2025) studied this question.

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Capacity optimization improves economic efficiency and reduces curtailment in a wind-solar-hydro-storage system, highlighting its utility.