This study proposed an off-grid multi-energy system capacity configuration and control optimization framework based on the Grey Wolf Optimization (GWO) algorithm, which enhances system revenue through an improved capacity allocation model.
System capacity configuration, as a key technology for off-grid wind solar hydrogen production system, has been studied by domestic and foreign scholars from multiple perspectives. Recent research on capacity configuration mostly focuses on optimization objectives, algorithms, and models .
The use of off-grid wind solar hydrogen production can effectively promote wind solar consumption and optimize energy structure, improve wind solar utilization efficiency, achieve on-site consumption of clean energy, and effectively explore the new direction of “green hydrogen” energy strategy. The output of renewable energy has great uncertainty.
Operation control of wind solar hydrogen storage system The hydrogen production system based on wind and solar input has strong energy fluctuations. At the same time, the engineering safety requirement is to avoid frequent and rapid shutdown or startup of alkaline electrolyzers, so that the adjustment of hydrogen production speed has a large lag.
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This study proposed an off-grid multi-energy system capacity configuration and control optimization framework based on the Grey Wolf Optimization (GWO) algorithm, which …
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REQUEST SPECSLatest developments in containerized energy storage technology, project case studies, and industry insights from our team of renewable energy experts.
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