Research On Power Generation Technology Of Small Wave Energy Device

As an important equipment for ocean sensing,underwater explorers have a wide range of applications in national defense,military affairs,and marine environmental monitoring.However,the use of manual battery replacement to supply power has severely restricted the development of underwater explorers.Therefore,in order to improve the endurance and endurance time of underwater explorers,the construction of offshore charging platforms using small wave energy devices has become a current research hotspot.However,the wave energy device suffers from problems such as unstable output voltage and large power fluctuations,which in turn affect the quality of electrical energy for offshore charging loads.Therefore,this paper studies the power generation technology of small wave energy devices,with the aim of suppressing power oscillations and improving the quality of electrical energy.In response to the characteristics of power generation of wave energy devices and the power supply demand for offshore charging loads,this paper designs the small-scale wave energy generation device.Through offshore experiments,power generation data is collected,and time-domain analysis methods are used to extract sea condition characteristic parameters,including wave height and wave period,providing learning samples for predicting the output power of the small-scale wave energy generation device.In response to the problems of slow response speed and short cycle life of traditional energy storage devices,this paper designs the topology of a flywheel-assisted smoothing system and establishes a mathematical model combining a flywheel energy storage system with a wave energy generation device.To improve the tracking performance of the output power of the auxiliary smoothing system,this paper studies a flywheel charging and discharging control strategy based on the integral sliding mode control algorithm.The system is used to achieve compensation for the power generation of small-scale wave energy devices.In order to optimize the output power and stabilize the DC link voltage of small-scale wave energy generation devices,a stable smoothing strategy for such devices is studied.This paper establishes a BP neural network wave energy power prediction model with the function of predicting power changes in advance,and uses a flywheel-assisted smoothing system to generate reverse power based on the predicted value.This system can absorb and compensate for the power oscillations of small-scale wave energy generation devices,significantly improving the quality of electrical energy produced by such devices.