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Best Algorithms to Make Solar Power Storage Profitable
Researchers at the Public University of Navarre in Spain have found that quadratic algorithms offer the optimum balance of accuracy and computational simplicity for solar power applications.
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Scientists at the Public University of Navarre in Spain have identified optimal types of solar power storage management algorithms.
The researchers developed models based on a year's worth of power generated by a medium-sized, approximately 100kw solar cell array.
An examination of dynamic, quadratic, and linear solar-cell energy management algorithms found dynamic algorithms demanded far more computational power than the others.
The researchers found quadratic algorithms offered the optimum balance of accuracy and computational simplicity for solar power applications, boasting computational needs similar to linear algorithms, and also realizing revenues similar to dynamic algorithms for all battery sizes.
From IEEE Spectrum
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Abstracts Copyright © 2019 SmithBucklin, Washington, DC, USA
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