Modelling of concentrating solar power plant for power system reliability studies. Issue 2 (1st March 2015)

• Record Type: Journal Article
• Authors: Gafurov, Tokhir; Usaola, Julio; Prodanovic, Milan
• Is Part Of: IET renewable power generation. Volume 9:Issue 2(2015)
• Page Start: 120
• Page End: 130
• Publication Date: 2015-03-01
• Subjects: power system reliability -- solar power stations -- Monte Carlo methods -- minimisation; power system reliability -- concentrating solar power plant modelling -- Monte Carlo simulation -- CSP simulation program -- central receiver system -- parabolic trough system -- system advisor model; Renewable energy sources -- Periodicals; 333.79405
• DOI: 10.1049/iet-rpg.2013.0377
• Languages: English
• ISSNs: 1752-1416

Abstract

Abstract : Growing share of concentrating solar power (CSP) plants in power systems creates the need for including these renewable sources in power system reliability studies. As such studies analyse the grid on a global scale and start to be performed increasingly by Monte Carlo simulations, modelling of CSP production has to be reasonably simplified in order to reduce the calculation time. The model simplification also concerns the minimisation of the required specific knowledge and input data which enables power system engineers to evaluate the impact of CSP without substantial expertise in its underlying physics and by focusing on the key design parameters. There is a large variety of accurate CSP simulation programs and models, and yet neither of them offers the required simplicity. This study addresses this gap by proposing reduced models for predicting energy output of parabolic trough and central receiver systems. The calculation procedure and its underlying assumptions are presented. The adequacy of the models is demonstrated by comparing their predictions with that of the System Advisor Model for different case scenarios.