Study On Output Power Optimization Of Wave Generation System

Due to the environmental and economic crisis,more and more people want to get energy through renewable energy.Ocean has the highest energy density,and considered to be a very promising renewable energy source.Wave energy generation is the main form of wave energy development and utilization.The wave can convert electric energy through two or three levels through the wave power plant,finally convert to electric energy.For the study of wave energy generation,the key is to optimize the output power of wave power generation system and improve the efficiency of system conversion.Wave energy power generation unit in a complex environment such as sea conditions,experimental study on the high cost by sea,only the implementation difficulties,and combined with laboratory experiments,computer modeling and simulation is low cost and easy to implement.This paper discusses the factors affecting the conversion efficiency of wave energy power generation device,and reveals the wave of the sea wave conditions generating system load resistance is affect the power generation system conversion efficiency and power output of the main factors.Then the output power of wave energy generation system is predicted by using the least square support vector machine(LSSVM)based on the water tank test data of the homemade wave energy generation system of Shanghai ocean university.Simulation results show that compared with BP neural network,LSSVM has better output power prediction effect.It has been shown that when the wave energy generation system has a pure resistive load,the output power of the system under certain load resistance is the most.Therefore,in order to improve the efficiency of wave energy power generation system,to maximize output power,this paper proposes a adaptive load wave energy power generation system design scheme,and the scheme of hardware and software design in detail in this paper.This provides an idea for the output power optimization of wave power generation system.The main work of this paper includes:1.The influence factors of output power and conversion efficiency of wave energy generation system are analyzed.Not easy to control,because of wave conditions and system load(pure resistive load)is relatively easy to adjust,change the system load resistance,can make the wave energy power generation system in determining the output power to achieve the optimal,in the cases of system conversion efficiency is highest.2.Based on the experimental data of water tank of Shanghai ocean university,the output power of wave energy generating system under three different working conditions was predicted by LSSVM.MATLAB simulation results show that it is feasible to predict the output power of wave energy generation system based on LSSVM.3.In order to maximize the output power,this paper designs the power optimization scheme for wave energy generating system.Based on STM32 single chip microcomputer,photoelectric coding sensor,MODBUS protocol,programmable electronic load and upper computer,the adaptive loading function of wave energy generation system is realized.After the STM32 single chip is used to obtain the speed of the motor/wave energy conversion device,the optimal load resistance can be automatically matched according to the test prediction results,and the programmable electronic load can be realized by controlling the programmable electronic load.At the same time,the self-developed upper computer software can show the load,speed and other information of the wave power generation system in real time,so that the staff can master the working condition of the power generation system.Moreover,the operator can also carry out the upper hand dynamic loading,which makes the loading function more intelligent,thus providing a train of thought for the output power optimization of the wave energy generation system.