Optimization of Oscillating Float Wave Energy Absorption Device Based on Snake Optimization Algorithm

As a new energy, wave energy has a large amount of energy, but its utilization rate is still very low. The main problems lie in the difficulty of wave energy collection and low conversion efficiency. In this paper, by analyzing the axial and vertical motion of the float motion of the oscillating floating point absorbing wave energy conversion device, and combining the specific situation of the float motion, the fourth order Runge Kutta method with high accuracy and good stability is used to solve the model, and the motion model of the float oscillator is established. Snake optimization algorithm is a new meta heuristic algorithm with few parameters, fast convergence, high precision and simple implementation. In this paper, the snake optimization algorithm is used to explore the maximum power of the energy conversion device according to the damping under different conditions, and a group of optimal schemes are given, which provides a valuable reference for the optimization of the wave energy conversion device.