Research on maximum output power wave energy device based on genetic algorithm

Anni Zhang; Renshi Tang; Caini Liu

doi:10.1117/12.2685907

28 July 2023 Research on maximum output power wave energy device based on genetic algorithm

Anni Zhang, Renshi Tang, Caini Liu

Proceedings Volume 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023); 127564O (2023) https://doi.org/10.1117/12.2685907
Event: 2023 3rd International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2023), 2023, Tangshan, China

Abstract

As one of a renewable energy source, it is of great significance to study the energy conversion efficiency of wave energy devices. This study focuses on the motion state of a wave energy device that composed of a float, an oscillator, a central axis and a PTO on the sea surface. Specifically, this paper aims to optimize the damping coefficient of the PTO system by genetic algorithm, and then obtain the curve of its optimal power to improve the energy conversion efficiency of the device. Firstly, the motion state of the device is analyzed, and the coordinate reference system of relative motion is established. Secondly, the float and oscillator are analyzed and modeled and the differential equation is established, as well as the Runge-Kutta method is used to solve the differential equation. Finally, the genetic algorithm is used to find the optimal damping coefficient and calculate the maximum output power.

Citation Download Citation

Anni Zhang, Renshi Tang, and Caini Liu "Research on maximum output power wave energy device based on genetic algorithm", Proc. SPIE 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023), 127564O (28 July 2023); https://doi.org/10.1117/12.2685907

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KEYWORDS

Oscillators

Genetic algorithms

Motion models

Motion analysis

Differential equations

Mathematical optimization

Energy conversion efficiency

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