基于模糊的独立太阳能光伏/风能/燃料电池混合发电系统最优负荷管理

S. Dey, Ritesh Dash, S. Swain
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引用次数: 18

摘要

可再生能源的可持续性和环保性使其成为传统化石燃料的最佳替代品。本课题提出对光伏-风能混合发电系统进行分析研究,并将其应用于偏远居民负荷的分布式发电系统。设计了一个模糊逻辑控制器,从太阳能和风能中提取最大功率,将最大功率输送到固定电压的直流母线,然后由母线提供负载,而剩余的电力则被输送到电解槽,电解槽为燃料电池和电池产生氢气。仿真结果证明了模糊逻辑控制器的有效性,并证明了这些可再生资源可以作为一种可行的解决方案,用于难以到达的偏远地区的独立应用分布式发电。
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Fuzzy based optimal load management in standalone hybrid solar PV/Wind/Fuel Cell generation system
Sustainable and eco-friendly nature of renewable energy resources render them the best alternatives to conventional fossil fuels. The project proposes analysis and study of Photovoltaic-Wind-Fuel Cell hybrid system for distributed generation system for a remote residential load. A fuzzy logic controller is designed to extract maximum power from both solar and wind energies, which deliver maximal power to a fixed voltage DC bus which then supplies the load, while the surplus power is fed to the electrolyzer which generates hydrogen for the fuel cells and the batteries. Simulation results prove the efficacy of the fuzzy logic controller and establish the fact that these renewable resources can be a viable solution to distributed production of electricity for standalone applications at inaccessible remote locations.
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