Fast economic model predictive control for marine current turbine generator system

Yiming Teng, Dewen Hu, Feng Wu, Ridong Zhang and Furong Gao

Renewable Energy, 2020, vol. 166, issue C, 108-116

Abstract: This paper considers the optimal operation of the ocean current turbine power generation system. Based on the model construction of the ocean current turbine system, the model predictive control strategy with economic indicators as the main consideration and the system focusing on real-time control issues are used. It is known that the quadratic form complicates the process to be solved, thereby increasing the solution time. For some complex formulation settings, although the system optimization problem can be solved more effectively, the complexity of the system is increased and the calculation time is increased. Therefore, this paper considers an optimal control that can be obtained fast enough for real-time optimization of the feedback scheme. The economic model predictive control framework is proposed in the paper, with the sensitivity components to solve the formulation, and the paper also consider an iterative optimization algorithm to enhance and improve the response speed of the system without affecting the economics of the system. Finally, all of these concepts are demonstrated on a detailed case study of a marine current turbine generator system.

Keywords: Marine current turbine; Power generation optimization; System modeling; Fast economic MPC (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:166:y:2020:i:c:p:108-116

DOI: 10.1016/j.renene.2020.11.136

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