Research On Optimal Load Control Of Heave Floater Wave Energy Capture Device

China has abundant ocean wave energy reserves.If it is effectively developed and used,and wave power generation systems are adapted to local conditions,it can effectively alleviate island energy shortages and improve the reliability of power supply in coastal cities.However,the existing wave energy capture devices have low conversion efficiency and large engineering investment,which seriously restricts the scale development.To this end,combined with the new algorithm of swarm intelligence optimization,a power optimization strategy for the dangling float wave energy capture device is proposed to improve the system control performance and conversion energy efficiency ratio.Aiming at the interaction between the heave float and the flow field under operating conditions,the linear wave theory is used to analyze the nonlinear characteristics of the parameters caused by radiation and diffraction.Through the numerical calculation method of hydrodynamic theory,the relevant hydrodynamic parameters of the float under the action of wave motion are derived,and the numerical simulation is carried out based on the float model built on the ANSYS platform..In order to improve the energy conversion efficiency and system output power characteristics,the frequency domain response of the hydrodynamic model is analyzed according to the motion of the sloshing float to obtain the dynamic model of the wave energy capture device.Based on the principle of circuit resonance,the optimal load conditions of the wave power generation system are obtained.Based on this,the group intelligent algorithm is used to solve the motor control parameters,and the power optimization module model is established by writing S-Function.Based on the mathematical model of the linear permanent magnet synchronous motor,the magnetic field orientation strategy is adopted to achieve the optimal load control of the wave energy capture device,and a system model is established on the MATLAB / Simulink platform.In order to improve the output power characteristics of the system,the Unscented Kalman Filter(UKF)algorithm is introduced to estimate the frequency of the incident wave as an auxiliary module for power optimization strategy.Through stable incident sea wave modeling,the short-term dominant frequency of the wave is predicted by combining with the float information.The float hydrodynamic parameter is non-linear,which will lead to the local peak problem solved by the traditional swarm intelligence algorithm.To this end,an improved control strategy for improving the chaos moth catching algorithm is proposed.In the early stage of the algorithm,a linear flame catching mode was used,and the chaosoptimization strategy was used to improve the global search ability.And the algorithm's solution accuracy;using the flame adaptation conditions,taking into account the advantages of two capture modes to optimize the algorithm,avoiding the prematureness of the algorithm caused by the non-linearity of parameters,and the effectiveness of the proposed scheme is given by simulation.In order to further study the power optimization control of the wave energy capture device,it is necessary to analyze the control scheme of the device under the condition of irregular wave input.Due to the insufficient accuracy of UKF's estimation in complicated working conditions,the DSSOGI frequency-locked loop structure with strong filtering ability and frequency adaptive ability is used for real-time measurement of wave frequency.Taking into account the sudden changes in the wave environment,the UKF prediction is used to improve the dynamic response of the frequency-locked loop.In the power optimization module,the optimal load control strategy of the improved whale algorithm is proposed,and the foraging mode of the algorithm is re-integrated,which greatly improves the global search ability of the algorithm.The chaos optimization operator is introduced to improve the spiral foraging method and effectively improve the optimization precision of the algorithm.In order to balance the advantages of the two modes in solving the optimal load,adaptively adjusting the number of prey according to the number of iterations allows the algorithm to switch between the two optimization modes at the appropriate stage,effectively preventing local peaks from being trapped due to the nonlinearity of the hydrodynamic parameters.According to the simulation results,the control scheme based on DSSOGI frequency-locked loop and improved whale algorithm can realize optimal load control under complex working conditions.