Comparison of iterative and recursive algorithms for identifying a solar power plant system

Abstract

A dynamic model for a solar power plant is very vital to be obtained for power and control engineers. In order to achieve a suitable dynamic model that best describes the solar plant characteristics, we have utilized an effective parameter estimation method called prediction error method (PEM). Afterward the estimated parameters have been identified by the iterative and recursive algorithms. The results for each method have been performed numerically, and finally a comparison and analysis of the results have been discussed.