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Static optimal control: Real-time optimization within closed-loop aim point control for solar power towers

Oberkirsch, Laurin and Zanger, David and Maldonado Quinto, Daniel and Schwarzbözl, Peter and Hoffschmidt, Bernhard (2023) Static optimal control: Real-time optimization within closed-loop aim point control for solar power towers. Solar Energy, 255, pp. 327-338. Elsevier. doi: 10.1016/j.solener.2023.03.051. ISSN 0038-092X.

[img] PDF - Preprint version (submitted draft)

Official URL: https://www.sciencedirect.com/science/article/abs/pii/S0038092X23002116?via%3Dihub


Many aim point optimization techniques exist to control Solar Power Towers (SPTs). However, SPTs exhibit optical losses that cannot be exactly modeled. Moreover, cloud passages cause transient incident flux distributions. Due to these modeling errors and disturbances, aim point optimization may exceed the Allowable Flux Density (AFD); consequently, these efficient aiming strategies are seldom applied at commercial plants. In this paper, an innovative closed-loop aim point control technique, the Static Optimal Control, is proposed. Flux density measurements close the open control loop of aim point optimization. Based on this feedback, the Static Optimal Control estimates weights that are embedded in the cost function of the aim point optimization. This GPU-based optimizer finds good aim point configurations in a few seconds even for large plants. Thus, the Static Optimal Control compensates for modeling errors and rejects disturbances to observe the AFD while maximizing the intercept. The performance of the Static Optimal Controller is evaluated for inaccurately modeled mirror errors and under a real cloud scenario. Aim of this control is not to exceed the AFD by more than 5% i.e. the accuracy of the flux density measurements. The aim is achieved for static modeling errors while improving the intercept by 1.7-8.6% compared to a heuristic control. In the cloud scenario, the Static Optimal Control reaches its limits. Even mapping all-sky-imager-based nowcasts in a feed forward manner on the heliostat field does not improve the control quality due to high prediction errors.

Item URL in elib:https://elib.dlr.de/194662/
Document Type:Article
Title:Static optimal control: Real-time optimization within closed-loop aim point control for solar power towers
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Oberkirsch, LaurinUNSPECIFIEDhttps://orcid.org/0000-0001-7018-3664UNSPECIFIED
Zanger, DavidUNSPECIFIEDhttps://orcid.org/0000-0002-6111-7531UNSPECIFIED
Maldonado Quinto, DanielUNSPECIFIEDhttps://orcid.org/0000-0003-2929-8667UNSPECIFIED
Schwarzbözl, PeterUNSPECIFIEDhttps://orcid.org/0000-0001-9339-7884UNSPECIFIED
Date:1 May 2023
Journal or Publication Title:Solar Energy
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
Page Range:pp. 327-338
Keywords:Concentrating solar power, Solar power tower, Heliostat aiming, Aim point optimization, Optimal control, Cloud disturbance
HGF - Research field:Energy
HGF - Program:Materials and Technologies for the Energy Transition
HGF - Program Themes:High-Temperature Thermal Technologies
DLR - Research area:Energy
DLR - Program:E SW - Solar and Wind Energy
DLR - Research theme (Project):E - Smart Operation
Location: Köln-Porz
Institutes and Institutions:Institute of Solar Research > Solar Power Plant Technology
Deposited By: Oberkirsch, Laurin
Deposited On:16 Jun 2023 10:57
Last Modified:16 Jun 2023 10:57

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