Shading prediction, fault detection, and consensus estimation for solar array control
Published: May 1, 2018
Abstract
This paper describes three methods used in the development of a utility-scale solar cyber-physical system. The study describes remote fault detection using machine learning approaches, power output optimization using cloud movement prediction and consensus-based solar array parameter estimation. Dynamic cloud movement, shading and soiling, lead to fluctuations in power output and loss of efficiency. For optimization of output power, a cloud...
Paper Details
Title
Shading prediction, fault detection, and consensus estimation for solar array control
Published Date
May 1, 2018
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