Novel Intelligent Control Technology for Enhanced Stability Performance of an Ocean Wave Energy Conversion System

In this article, a novelty control structure of grid-connected doubly-fed induction generator (DFIG) based on function link (FL)-based Wilcoxon radial basis network (FLWRBFN) controller is proposed. The back-propagation (BP) method used online to train the node connecting weights FLWRBFN. To improve learning capability FLWBFN, differential evolution with particle swarm optimization (DEPSO) tune rates For high randomness wave energy generation, transmission power between generators and electrical grids easy unstable AC bus voltage DC will also lose constant under conditions variable speed load. Therefore, proposed intelligent can maintain above balance reduce fluctuation. Finally, PSCAD/EMTDC software simulate study various cases confirm robustness usefulness technology applied an ocean conversion system.