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Academic Journal of Computing & Information Science, 2023, 6(1); doi: 10.25236/AJCIS.2023.060116.

Maximum output power design of wave energy based on particle swarm optimization algorithm

Author(s)

Kailin Lu, Yi Wu

Corresponding Author:
​Kailin Lu
Affiliation(s)

College of Science, Nantong University, Nantong, Jiangsu, 226000, China

Abstract

As human exploration of the ocean continues to deepen, wave energy as an important marine resource has entered people's view. In order to explore the basic relationship between the relevant variables in the wave energy conversion device, this paper starts from the force analysis of the system and establishes the mathematical model of the kinematic equations of float and oscillator to solve the corresponding problems. Not only the vertical swing of the float and oscillator, but also their longitudinal rocking, i.e., both translational and rotational, are considered. By numerical integration, the average output power is calculated for a certain time period. With the objective of maximizing the average output power, the particle swarm optimization algorithm is applied to obtain the maximum average output power with relatively smooth power.

Keywords

wave energy conversion device; floating body motion; particle swarm algorithm

Cite This Paper

Kailin Lu, Yi Wu. Maximum output power design of wave energy based on particle swarm optimization algorithm. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 1: 110-116. https://doi.org/10.25236/AJCIS.2023.060116.

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