This study constructed a multi-energy complementary wind-solar-hydropower system model to optimize the capacity configuration of wind, solar, and hydropower, and analyzed the system's performance under different wind-solar ratios.
This study constructed a multi-energy complementary wind-solar-hydropower system model to optimize the capacity configuration of wind, solar, and hydropower, and analyzed the system's performance under different wind-solar ratios.
Received 01 December 2024; Accepted 27 January 2025; Issue published 25 April 2025 HOMER (Hybrid Optimization Model for Electric Renewables) is an effective simulation and optimization platform for hybrid renewable energy. By inputting specific users’ energy resource data (such as wind speed, solar.
Park microgrids integrate wind power, photovoltaic (PV) power, and the main power grid to meet load demands. To improve the utilization of wind and solar power, energy storage systems are configured to address the mismatch between load demand and generation schedules, thereby reducing energy.
Inner Mongolia Electric Power Economic and Technical Research Institute Branch, Inner Mongolia Electric Power (Group) Co., Ltd., Hohhot 010020, China Author to whom correspondence should be addressed. The proposed approach involves a method of joint optimization configuration for.
Qihui Yu, Shengyu Gao, Guoxin Sun, Ripeng Qin; Optimization of wind and solar energy storage system capacity configuration based on the Parzen window estimation method. J. Renewable Sustainable Energy 1 November 2023; 15 (6): 064103. https://doi.org/10.1063/5.0172720 Compressed air energy storag
By inputting 8760 h of wind and solar resource data and load data for a specific region, and considering multiple system structures and power supply modes, the configuration
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This letter presents a model for coordinated optimal allocation of wind, solar, and storage in microgrids that can be applied to different generation conditions and is integrated with the Gurobi solver.
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The proposed approach involves a method of joint optimization configuration for wind–solar–thermal-storage (WSTS) power energy bases utilizing a dynamic inertia weight chaotic particle swarm
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