Wave energy converter cluster optimization method based on hybrid particle swarm algorithm
The optimal control of wave energy converter clusters helps to make full use of wave resources,for which a wave power cluster optimization method based on a hybrid particle swarm algorithm is proposed.Direct-driven wave power generators are taken as the research object to explore the mathematical model for the short-term scale of the steady state of power generation clusters.Wave dynamic pressure,radiation influence among devices and shading effect among devices are considered in order to simulate more accurately the actual effect of deploying a certain density of wave energy devices.With wave cluster power maximization as the optimization objective,a hybrid particle swarm algorithm is proposed to solve the optimal parameters of the power generation cluster taking into account the motion of the power generation devices and the energy constraints of the sea area.Crossover and mutation operations are added to the traditional algorithm to cope with the problem of multi-peakability in the solution space of the complex equations.The results of the algorithms verify the effectiveness of the cluster optimization method with good solution quality.They also show that the larger the size of the wave power generation cluster,the more complex the radiative influence between the devices and the more obvious the shading effect.
wave energy converter clusterradiation effectsshading phenomenacluster optimizationhybrid particle swarm algorithm
万方数据
维普
